diff --git a/supervised_ml.ipynb b/supervised_ml.ipynb index 5f6cc7c..b61936a 100644 --- a/supervised_ml.ipynb +++ b/supervised_ml.ipynb @@ -14,58 +14,55 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 3, "id": "414550d7-9d43-4f5c-8f75-4756974014af", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "[('spark.app.startTime', '1700954655159'),\n", + "[('spark.stage.maxConsecutiveAttempts', '10'),\n", " ('spark.dynamicAllocation.minExecutors', '1'),\n", - " ('spark.stage.maxConsecutiveAttempts', '10'),\n", + " ('spark.eventLog.enabled', 'true'),\n", " ('spark.submit.pyFiles',\n", " 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'hub-msca-bdp-dphub-students-test-abejburton-m'),\n", " ('spark.hadoop.mapreduce.fileoutputcommitter.algorithm.version', '2'),\n", " ('spark.dynamicAllocation.maxExecutors', '10000'),\n", + " ('spark.app.id', 'application_1701015020482_0001'),\n", " ('spark.yarn.dist.pyFiles',\n", " 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- " ('spark.org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter.param.PROXY_URI_BASES',\n", - " 'http://hub-msca-bdp-dphub-students-test-abejburton-m:8088/proxy/application_1700954437945_0001'),\n", + " ('spark.executorEnv.OPENBLAS_NUM_THREADS', '1'),\n", + " ('spark.driver.port', '41051'),\n", " ('spark.repl.local.jars',\n", " 'file:///root/.ivy2/jars/com.johnsnowlabs.nlp_spark-nlp_2.12-4.4.0.jar,file:///root/.ivy2/jars/graphframes_graphframes-0.8.2-spark3.1-s_2.12.jar,file:///root/.ivy2/jars/com.typesafe_config-1.4.2.jar,file:///root/.ivy2/jars/org.rocksdb_rocksdbjni-6.29.5.jar,file:///root/.ivy2/jars/com.amazonaws_aws-java-sdk-bundle-1.11.828.jar,file:///root/.ivy2/jars/com.github.universal-automata_liblevenshtein-3.0.0.jar,file:///root/.ivy2/jars/com.google.cloud_google-cloud-storage-2.16.0.jar,file:///root/.ivy2/jars/com.navigamez_greex-1.0.jar,file:///root/.ivy2/jars/com.johnsnowlabs.nlp_tensorflow-cpu_2.12-0.4.4.jar,file:///root/.ivy2/jars/it.unimi.dsi_fastutil-7.0.12.jar,file:///root/.ivy2/jars/org.projectlombok_lombok-1.16.8.jar,file:///root/.ivy2/jars/com.google.guava_guava-31.1-jre.jar,file:///root/.ivy2/jars/com.google.guava_failureaccess-1.0.1.jar,file:///root/.ivy2/jars/com.google.guava_listenablefuture-9999.0-empty-to-avoid-conflict-with-guava.jar,file:///root/.ivy2/jars/com.google.errorprone_error_prone_annotations-2.16.jar,file:///root/.ivy2/jars/com.google.j2objc_j2objc-annotations-1.3.jar,file:///root/.ivy2/jars/com.google.http-client_google-http-client-1.42.3.jar,file:///root/.ivy2/jars/io.opencensus_opencensus-contrib-http-util-0.31.1.jar,file:///root/.ivy2/jars/com.google.http-client_google-http-client-jackson2-1.42.3.jar,file:///root/.ivy2/jars/com.google.http-client_google-http-client-gson-1.42.3.jar,file:///root/.ivy2/jars/com.google.api-client_google-api-client-2.1.1.jar,file:///root/.ivy2/jars/commons-codec_commons-codec-1.15.jar,file:///root/.ivy2/jars/com.google.oauth-client_google-oauth-client-1.34.1.jar,file:///root/.ivy2/jars/com.google.http-client_google-http-client-apache-v2-1.42.3.jar,file:///root/.ivy2/jars/com.google.apis_google-api-services-storage-v1-rev20220705-2.0.0.jar,file:///root/.ivy2/jars/com.google.code.gson_gson-2.10.jar,file:///root/.ivy2/jars/com.google.cloud_google-cloud-core-2.9.0.jar,file:///root/.ivy2/jars/com.google.auto.value_auto-value-annotations-1.10.1.jar,file:///root/.ivy2/jars/com.google.cloud_google-cloud-core-http-2.9.0.jar,file:///root/.ivy2/jars/com.google.http-client_google-http-client-appengine-1.42.3.jar,file:///root/.ivy2/jars/com.google.api_gax-httpjson-0.105.1.jar,file:///root/.ivy2/jars/com.google.cloud_google-cloud-core-grpc-2.9.0.jar,file:///root/.ivy2/jars/io.grpc_grpc-core-1.51.0.jar,file:///root/.ivy2/jars/com.google.api_gax-2.20.1.jar,file:///root/.ivy2/jars/com.google.api_gax-grpc-2.20.1.jar,file:///root/.ivy2/jars/io.grpc_grpc-alts-1.51.0.jar,file:///root/.ivy2/jars/io.grpc_grpc-grpclb-1.51.0.jar,file:///root/.ivy2/jars/org.conscrypt_conscrypt-openjdk-uber-2.5.2.jar,file:///root/.ivy2/jars/io.grpc_grpc-protobuf-1.51.0.jar,file:///root/.ivy2/jars/com.google.auth_google-auth-library-credentials-1.13.0.jar,file:///root/.ivy2/jars/com.google.auth_google-auth-library-oauth2-http-1.13.0.jar,file:///root/.ivy2/jars/com.google.api_api-common-2.2.2.jar,file:///root/.ivy2/jars/javax.annotation_javax.annotation-api-1.3.2.jar,file:///root/.ivy2/jars/io.opencensus_opencensus-api-0.31.1.jar,file:///root/.ivy2/jars/io.grpc_grpc-context-1.51.0.jar,file:///root/.ivy2/jars/com.google.api.grpc_proto-google-iam-v1-1.6.22.jar,file:///root/.ivy2/jars/com.google.protobuf_protobuf-java-3.21.10.jar,file:///root/.ivy2/jars/com.google.protobuf_protobuf-java-util-3.21.10.jar,file:///root/.ivy2/jars/com.google.api.grpc_proto-google-common-protos-2.11.0.jar,file:///root/.ivy2/jars/org.threeten_threetenbp-1.6.4.jar,file:///root/.ivy2/jars/com.google.api.grpc_proto-google-cloud-storage-v2-2.16.0-alpha.jar,file:///root/.ivy2/jars/com.google.api.grpc_grpc-google-cloud-storage-v2-2.16.0-alpha.jar,file:///root/.ivy2/jars/com.google.api.grpc_gapic-google-cloud-storage-v2-2.16.0-alpha.jar,file:///root/.ivy2/jars/com.fasterxml.jackson.core_jackson-core-2.14.1.jar,file:///root/.ivy2/jars/com.google.code.findbugs_jsr305-3.0.2.jar,file:///root/.ivy2/jars/io.grpc_grpc-api-1.51.0.jar,file:///root/.ivy2/jars/io.grpc_grpc-auth-1.51.0.jar,file:///root/.ivy2/jars/io.grpc_grpc-stub-1.51.0.jar,file:///root/.ivy2/jars/org.checkerframework_checker-qual-3.28.0.jar,file:///root/.ivy2/jars/com.google.api.grpc_grpc-google-iam-v1-1.6.22.jar,file:///root/.ivy2/jars/io.grpc_grpc-protobuf-lite-1.51.0.jar,file:///root/.ivy2/jars/com.google.android_annotations-4.1.1.4.jar,file:///root/.ivy2/jars/org.codehaus.mojo_animal-sniffer-annotations-1.22.jar,file:///root/.ivy2/jars/io.grpc_grpc-netty-shaded-1.51.0.jar,file:///root/.ivy2/jars/io.perfmark_perfmark-api-0.26.0.jar,file:///root/.ivy2/jars/io.grpc_grpc-googleapis-1.51.0.jar,file:///root/.ivy2/jars/io.grpc_grpc-xds-1.51.0.jar,file:///root/.ivy2/jars/io.opencensus_opencensus-proto-0.2.0.jar,file:///root/.ivy2/jars/io.grpc_grpc-services-1.51.0.jar,file:///root/.ivy2/jars/com.google.re2j_re2j-1.6.jar,file:///root/.ivy2/jars/dk.brics.automaton_automaton-1.11-8.jar,file:///root/.ivy2/jars/org.slf4j_slf4j-api-1.7.16.jar'),\n", " ('spark.sql.cbo.enabled', 'true'),\n", @@ -77,10 +74,13 @@ " ('spark.driver.memory', '4g'),\n", " ('spark.sql.warehouse.dir', 'file:/spark-warehouse'),\n", " ('spark.yarn.executor.failuresValidityInterval', '1h'),\n", - " ('spark.ui.proxyBase', '/proxy/application_1700954437945_0001'),\n", " ('spark.yarn.am.memory', '640m'),\n", + " ('spark.history.fs.logDirectory',\n", + " 'gs://dataproc-temp-us-central1-635155370842-uzamlpgc/d5b80d11-0ab8-413d-9bcb-2259e97b7515/spark-job-history'),\n", " ('spark.cores.max', '4'),\n", " ('spark.executor.cores', '4'),\n", + " ('spark.org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter.param.PROXY_HOSTS',\n", + " 'hub-msca-bdp-dphub-students-test-harshpachisia-m'),\n", " ('spark.jars.packages',\n", " 'com.johnsnowlabs.nlp:spark-nlp_2.12:4.4.0,graphframes:graphframes:0.8.2-spark3.1-s_2.12'),\n", " ('spark.executor.instances', '2'),\n", @@ -88,27 +88,27 @@ " 'com.google.cloud.spark.performance.DataprocMetricsListener'),\n", " ('spark.serializer.objectStreamReset', '100'),\n", " ('spark.submit.deployMode', 'client'),\n", - " ('spark.app.id', 'application_1700954437945_0001'),\n", " ('spark.sql.cbo.joinReorder.enabled', 'true'),\n", " ('spark.shuffle.service.enabled', 'true'),\n", " ('spark.scheduler.mode', 'FAIR'),\n", " ('spark.sql.adaptive.enabled', 'true'),\n", " ('spark.yarn.jars', 'local:/usr/lib/spark/jars/*'),\n", " ('spark.scheduler.minRegisteredResourcesRatio', '0.0'),\n", + " ('spark.eventLog.dir',\n", + " 'gs://dataproc-temp-us-central1-635155370842-uzamlpgc/d5b80d11-0ab8-413d-9bcb-2259e97b7515/spark-job-history'),\n", + " ('spark.app.startTime', '1701015180695'),\n", " ('spark.master', 'yarn'),\n", " ('spark.ui.port', '0'),\n", - " ('spark.driver.appUIAddress',\n", - " 'http://hub-msca-bdp-dphub-students-test-abejburton-m.c.msca-bdp-student-ap.internal:46861'),\n", " ('spark.rpc.message.maxSize', '512'),\n", " ('spark.rdd.compress', 'True'),\n", - " ('spark.driver.port', '44505'),\n", " ('spark.task.maxFailures', '10'),\n", + " ('spark.ui.proxyBase', '/proxy/application_1701015020482_0001'),\n", " ('spark.yarn.isPython', 'true'),\n", " ('spark.dynamicAllocation.enabled', 'true'),\n", " ('spark.ui.showConsoleProgress', 'true')]" ] }, - "execution_count": 1, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -1393,7 +1393,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 4, "id": "52bce528-7f87-4a2d-9e10-c764fefc2e52", "metadata": {}, "outputs": [ @@ -1412,7 +1412,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 5, "id": "fe839d92-0f0e-4b33-8a0a-a3e48ff8b0d7", "metadata": {}, "outputs": [], @@ -1441,7 +1441,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 11, "id": "975dadc7-cb0c-4e75-89fb-b73b8e7ba743", "metadata": {}, "outputs": [], @@ -1456,7 +1456,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 7, "id": "ba889428-ef35-43d5-91d3-e49f1ef7bcad", "metadata": {}, "outputs": [], @@ -1467,7 +1467,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 8, "id": "8682ec74-9d84-454e-980c-074da8e08284", "metadata": {}, "outputs": [], @@ -1476,6 +1476,14 @@ "df_3 = df_3.withColumn(\"sunset\", F.col(\"sunset\").cast(\"int\"))" ] }, + { + "cell_type": "markdown", + "id": "a5ce90d7-7024-4830-a4f8-6f1efa911d10", + "metadata": {}, + "source": [ + "## Impact of Program on rides in Hyde Park" + ] + }, { "cell_type": "markdown", "id": "47d25a14-27b8-4290-abe7-3e5d8411a739", @@ -1484,6 +1492,22 @@ "This model will be for predicting the first policy change using df_1" ] }, + { + "cell_type": "markdown", + "id": "1884f85e-70c8-4d83-8d5c-f1a90e7b7cee", + "metadata": {}, + "source": [ + "#### Building model to predict rides in program area based on pre-program data" + ] + }, + { + "cell_type": "markdown", + "id": "370b8f4e-f6bc-4245-889d-e1803afed90c", + "metadata": {}, + "source": [ + "Using df1 (all pre-program data) to predict what would happen to count of rides if the program had not happened at all." + ] + }, { "cell_type": "code", "execution_count": 26, @@ -1499,14 +1523,10 @@ "# adding the handleInvalid = 'skip' allows this to run- double check what it is doing\n", "vectorAssembler = VectorAssembler(inputCols=input_features,\n", " outputCol=\"features\", handleInvalid='skip')\n", - "#df = vectorAssembler.transform(merged_df)\n", - "#df.show(5)\n", - "#train_df, test_df = df.randomSplit([0.7, 0.3],0.0)\n", "\n", "# splitting first and then doing vector assembly to avoid errors\n", "train_df, test_df = df_1.randomSplit([.7,.3],seed=1234)\n", "\n", - "# originally harsh had the vector assembler transforming merged_df which I think was a mistake\n", "train_df = vectorAssembler.transform(train_df)\n", "test_df = vectorAssembler.transform(test_df)" ] @@ -1702,90 +1722,98 @@ "lrm.save(model_path)" ] }, + { + "cell_type": "markdown", + "id": "8da4fa2f-e810-441a-883d-0346543f021b", + "metadata": {}, + "source": [ + "### Pre-program trends and predictions\n", + "\n", + "Pre-program ride trends- what would the ridership be in the program areas for 2018 - Sept 2021 based on the model- predict for area_sums against actual area_sums before the program started (pre-trends)." + ] + }, { "cell_type": "code", - "execution_count": 42, - "id": "8fecbaee-05af-4446-8809-89207ec651c4", + "execution_count": 105, + "id": "092e3097-0029-4d0c-b30e-c1bfc497beee", "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - " \r" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ - "+-----+----+-----+-----+-----+-----+-----+-----+-----+------+----+----+----+----+----+----+----+-----+----+----+-----+----+-----+-----+-----+-----+-----+----+----+------+-----+----+-----+------+-----+----+----+----+----+----+----+-----+-----+----+----+---+----+----+----+----+---+----+----+---+-----+----+----+----+----+----+----+----+----+----+----+----+----+-----+----+-----+----+----+---+----+-----+-----+---------+----+------+----+---------+------+--------------------+------------------+\n", - "|month|year| 1| 2| 3| 4| 5| 6| 7| 8| 9| 10| 11| 12| 13| 14| 15| 16| 17| 18| 19| 20| 21| 22| 23| 24| 25| 26| 27| 28| 29| 30| 31| 32| 33| 34| 35| 36| 37| 38| 40| 43| 44| 45| 46| 47| 48| 49| 50| 51| 52| 53| 54| 55| 56| 57| 58| 59| 60| 61| 62| 63| 64| 65| 66| 67| 68| 69| 70| 71| 72| 73| 74| 75| 76| 77|area_sums|temp|precip|snow|snowdepth|sunset| features| prediction|\n", - "+-----+----+-----+-----+-----+-----+-----+-----+-----+------+----+----+----+----+----+----+----+-----+----+----+-----+----+-----+-----+-----+-----+-----+----+----+------+-----+----+-----+------+-----+----+----+----+----+----+----+-----+-----+----+----+---+----+----+----+----+---+----+----+---+-----+----+----+----+----+----+----+----+----+----+----+----+----+-----+----+-----+----+----+---+----+-----+-----+---------+----+------+----+---------+------+--------------------+------------------+\n", - "| 10|2021|12199| 9107|24884|10934|12710|62904|55515|180042| 674|3314|3259|1323|3077|7226|7209|10819|2898|1116| 8828|3030|11178|34577|10307|59723|14084|3590|5678| 99556| 8672|7147|12736|104048|24877|3684|7049|1553| 824|6866|3602|10986| 8677|1848|3884|560|2047|6449|2113|2097|622|2949| 898|326|15899|2444|4881|2795|5363|6014|1560|3048|1163|2742|5662|4618|5772| 7720|3439| 7108|1518|3534|550|2453|47198|16199| 35049|66.6| 0.0| 0.0| 0.0| 1824|[10.0,2021.0,1219...|27790.442290805047|\n", - "| 12|2021|15334|11839|30581|14637|15938|84279|72666|232096|1016|4185|4262|1698|3693|9655|9731|14002|3570|1432|11428|4051|14444|44767|13778|75868|19517|4816|7073|118158|11234|9203|17681|126362|27419|5278|9174|2017|1188|9343|4944|14861|11699|2349|5020|848|2660|8718|2824|2832|644|4265|1237|468|17543|3150|6327|3647|6606|7771|2008|4083|1536|3817|7780|6562|8032|10688|4158|10085|1988|4732|744|3144|54636|21202| 44651|38.5| 0.193| 0.0| 0.0| 1619|[12.0,2021.0,1533...| 37059.28123582038|\n", - "+-----+----+-----+-----+-----+-----+-----+-----+-----+------+----+----+----+----+----+----+----+-----+----+----+-----+----+-----+-----+-----+-----+-----+----+----+------+-----+----+-----+------+-----+----+----+----+----+----+----+-----+-----+----+----+---+----+----+----+----+---+----+----+---+-----+----+----+----+----+----+----+----+----+----+----+----+----+-----+----+-----+----+----+---+----+-----+-----+---------+----+------+----+---------+------+--------------------+------------------+\n", + "+-----+----+-----+-----+-----+-----+-----+------+------+------+----+----+----+----+----+-----+-----+-----+----+----+-----+----+-----+------+-----+------+-----+----+----+------+-----+-----+-----+------+-----+-----+-----+----+----+-----+----+-----+-----+----+----+---+----+----+----+----+----+----+---+---+-----+----+----+----+-----+-----+----+----+----+----+----+----+----+-----+----+-----+----+----+----+----+-----+-----+---------+----+------+----+---------+------+--------------------+------------------+\n", + "|month|year| 1| 2| 3| 4| 5| 6| 7| 8| 9| 10| 11| 12| 13| 14| 15| 16| 17| 18| 19| 20| 21| 22| 23| 24| 25| 26| 27| 28| 29| 30| 31| 32| 33| 34| 35| 36| 37| 38| 40| 43| 44| 45| 46| 47| 48| 49| 50| 51| 52| 53| 54| 55| 56| 57| 58| 59| 60| 61| 62| 63| 64| 65| 66| 67| 68| 69| 70| 71| 72| 73| 74| 75| 76| 77|area_sums|temp|precip|snow|snowdepth|sunset| features| prediction|\n", + "+-----+----+-----+-----+-----+-----+-----+------+------+------+----+----+----+----+----+-----+-----+-----+----+----+-----+----+-----+------+-----+------+-----+----+----+------+-----+-----+-----+------+-----+-----+-----+----+----+-----+----+-----+-----+----+----+---+----+----+----+----+----+----+---+---+-----+----+----+----+-----+-----+----+----+----+----+----+----+----+-----+----+-----+----+----+----+----+-----+-----+---------+----+------+----+---------+------+--------------------+------------------+\n", + "| 10|2019|29231|17263|71395|36099|42629|257725|214809|553952|2207|7122|6108|3430|4891|17926|16443|28228|5642|2027|17239|6727|35113|133338|19446|223133|21584|5012|9019|243039|12333|13862|36085|235168|80315|16449|15174|2820|1914|13071|6112|17193|12961|2539|5394|727|2773|8829|2193|2763|1052|3938|952|703|18892|4074|9492|5964|14861|10619|3148|6504|2837|5680|9947|7136|8439|11685|4809|10787|2999|5129|1682|3586|47665|44315| 66329|59.6| 0.0| 0.0| 0.0| 1822|[10.0,2019.0,2923...| 60641.37608649512|\n", + "| 1|2019|19333|15209|37813|20437|22238|111367| 89150|272925| 851|4290|4442|2078|4735|12263|10975|18766|4329|1600|13523|5190|20481| 64069|15803|104733|17215|4207|7807|171554|11963|11761|22381|182757|28563| 7562|13755|2527|1725|10899|5501|14607|10856|2135|4816|877|2490|8106|2139|2291| 724|3246|839|448|19506|3788|8377|4689|11395| 9566|2721|5781|2271|4428|8209|6626|7957|10502|4158| 9128|1770|4354| 688|2932|51541|26065| 52615|29.3| 0.003| 0.0| 0.0| 1630|[1.0,2019.0,19333...|51590.197710192995|\n", + 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12|2021|15334|11839|30581|14637|15938|84279|72666|232096|1016|4185|4262|1698|3693|9655|9731|14002|3570|1432|11428|4051|14444|44767|13778|75868|19517|4816|7073|118158|11234|9203|17681|126362|27419|5278|9174|2017|1188|9343|4944|14861|11699|2349|5020|848|2660|8718|2824|2832|644|4265|1237|468|17543|3150|6327|3647|6606|7771|2008|4083|1536|3817|7780|6562|8032|10688|4158|10085|1988|4732|744|3144|54636|21202| 44651|38.5| 0.193| 0.0| 0.0| 1619|\n", - "+-----+----+-----+-----+-----+-----+-----+-----+-----+------+----+----+----+----+----+----+----+-----+----+----+-----+----+-----+-----+-----+-----+-----+----+----+------+-----+----+-----+------+-----+----+----+----+----+----+----+-----+-----+----+----+---+----+----+----+----+---+----+----+---+-----+----+----+----+----+----+----+----+----+----+----+----+----+-----+----+-----+----+----+---+----+-----+-----+---------+----+------+----+---------+------+\n", + "\n", + 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"+-----+----+-----+-----+-----+-----+-----+------+------+------+----+----+----+----+----+-----+-----+-----+----+----+-----+----+-----+------+-----+------+-----+----+----+------+-----+-----+-----+------+-----+-----+-----+----+----+-----+----+-----+-----+----+----+---+----+----+----+----+----+----+---+---+-----+----+----+----+-----+-----+----+----+----+----+----+----+----+-----+----+-----+----+----+----+----+-----+-----+---------+----+------+----+---------+------+\n", + "| 10|2019|29231|17263|71395|36099|42629|257725|214809|553952|2207|7122|6108|3430|4891|17926|16443|28228|5642|2027|17239|6727|35113|133338|19446|223133|21584|5012|9019|243039|12333|13862|36085|235168|80315|16449|15174|2820|1914|13071|6112|17193|12961|2539|5394|727|2773|8829|2193|2763|1052|3938|952|703|18892|4074|9492|5964|14861|10619|3148|6504|2837|5680|9947|7136|8439|11685|4809|10787|2999|5129|1682|3586|47665|44315| 66329|59.6| 0.0| 0.0| 0.0| 1822|\n", + "| 1|2019|19333|15209|37813|20437|22238|111367| 89150|272925| 851|4290|4442|2078|4735|12263|10975|18766|4329|1600|13523|5190|20481| 64069|15803|104733|17215|4207|7807|171554|11963|11761|22381|182757|28563| 7562|13755|2527|1725|10899|5501|14607|10856|2135|4816|877|2490|8106|2139|2291| 724|3246|839|448|19506|3788|8377|4689|11395| 9566|2721|5781|2271|4428|8209|6626|7957|10502|4158| 9128|1770|4354| 688|2932|51541|26065| 52615|29.3| 0.003| 0.0| 0.0| 1630|\n", + "+-----+----+-----+-----+-----+-----+-----+------+------+------+----+----+----+----+----+-----+-----+-----+----+----+-----+----+-----+------+-----+------+-----+----+----+------+-----+-----+-----+------+-----+-----+-----+----+----+-----+----+-----+-----+----+----+---+----+----+----+----+----+----+---+---+-----+----+----+----+-----+-----+----+----+----+----+----+----+----+-----+----+-----+----+----+----+----+-----+-----+---------+----+------+----+---------+------+\n", "only showing top 2 rows\n", "\n" ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - " \r" - ] } ], "source": [ + "# load pre-program model\n", + "from pyspark.ml.regression import LinearRegressionModel\n", + "from pyspark.ml.feature import VectorAssembler\n", + "\n", + "# Path to saved model on GCS\n", + "model_path = \"gs://msca-bdp-student-gcs/bdp-rideshare-project/models/pre_program_model\"\n", + "\n", + "# Load the Linear Regression Model\n", + "lrm = LinearRegressionModel.load(model_path)\n", + "\n", "# dataframe that is the true counts\n", - "df_real = df_2.filter(df_2.year == 2021)\n", + "df_real = df_1\n", + "\n", + "# input features are everything but the area_sums column which is what we are trying to predict\n", + "input_features = ['month','year','1','2','3','4','5','6','7','8', '9', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20','21','22','23','24','25',\n", + " '26','27','28','29','30','31','32','33','34','35','36','37','38','40','43','44','45','46','47','48','49','50','51','52','53','54','55','56','57','58','59','60','61','62','63','64','65','66',\n", + " '67','68','69','70','71','72','73','74','75','76','77','temp','precip','snow','snowdepth','sunset']\n", + "\n", + "# adding the handleInvalid = 'skip' allows this to run- double check what it is doing\n", + "vectorAssembler = VectorAssembler(inputCols=input_features, outputCol=\"features\", handleInvalid='skip')\n", "\n", "# take the real data and create predictions to compare\n", "df_real_vector = vectorAssembler.transform(df_real)\n", - "df_first_predictions = lrm.transform(df_real_vector)\n", + "df_pre_program_predictions = lrm.transform(df_real_vector)\n", "\n", - "df_first_predictions.show(2)\n", + "df_pre_program_predictions.show(2)\n", "df_real.show(2)" ] }, { "cell_type": "code", - "execution_count": 43, - "id": "0c752d74-61ab-4c16-a1f6-62a5eebd3963", + "execution_count": 106, + "id": "c88dfe23-98e7-4373-8339-4fc1693416db", "metadata": {}, "outputs": [], "source": [ "# now group by month and sum counts and plot\n", - "monthly_real = df_real.groupBy('month').sum('area_sums')\n", - "monthly_first_preds = df_first_predictions.groupby('month').sum('prediction')" + "\n", + "#df_real.withColumn(\"month\", F.format_string(\"%02d\", df_real.month.cast(\"int\")))\n", + "#df_real.select('month').show(5)\n", + "monthly_real = df_real.withColumn(\"year_month\", F.concat_ws(\"-\", df_real.year, df_real.month))\n", + "df_pre_program_predictions = df_pre_program_predictions.withColumn(\"year_month\", F.concat_ws(\"-\", df_pre_program_predictions.year, df_pre_program_predictions.month))\n", + "\n", + "#monthly_real.select('year_month').distinct().show(30)\n", + "monthly_real = monthly_real.groupBy('year_month').sum('area_sums')\n", + "monthly_pre_program_preds = df_pre_program_predictions.groupby('year_month').sum('prediction')" ] }, { "cell_type": "code", - "execution_count": 47, - "id": "8dacd81e-05ea-4243-8370-b6b6b56fd75a", + "execution_count": 107, + "id": "b52a1292-af1b-4146-b8d0-01843287ee44", "metadata": {}, "outputs": [ { @@ -1816,7 +1844,7 @@ " \n", " \n", " \n", - " month\n", + " year_month\n", " sum(area_sums)\n", " sum(prediction)\n", " \n", @@ -1824,66 +1852,206 @@ " \n", " \n", " 0\n", - " 12\n", - " 258103\n", - " 207578.423603\n", + " 2019-10\n", + " 435438\n", + " 418766.823378\n", " \n", " \n", " 1\n", - " 10\n", - " 265236\n", - " 210299.350589\n", + " 2019-4\n", + " 458738\n", + " 437424.914776\n", " \n", " \n", " 2\n", - " 11\n", - " 275975\n", - " 201316.311757\n", + " 2019-11\n", + " 428752\n", + " 411241.410744\n", + " \n", + " \n", + " 3\n", + " 2021-3\n", + " 178045\n", + " 193006.695556\n", + " \n", + " \n", + " 4\n", + " 2021-4\n", + " 176680\n", + " 178816.816038\n", + " \n", + " \n", + " 5\n", + " 2019-9\n", + " 351479\n", + " 395490.044955\n", + " \n", + " \n", + " 6\n", + " 2019-2\n", + " 452100\n", + " 419238.609782\n", + " \n", + " \n", + " 7\n", + " 2019-5\n", + " 456471\n", + " 446927.511582\n", + " \n", + " \n", + " 8\n", + " 2019-6\n", + " 422260\n", + " 417559.979058\n", + " \n", + " \n", + " 9\n", + " 2021-5\n", + " 183403\n", + " 177115.769091\n", + " \n", + " \n", + " 10\n", + " 2021-9\n", + " 193462\n", + " 182082.974058\n", + " \n", + " \n", + " 11\n", + " 2021-8\n", + " 163498\n", + " 158309.023479\n", + " \n", + " \n", + " 12\n", + " 2019-3\n", + " 474323\n", + " 486828.015158\n", + " \n", + " \n", + " 13\n", + " 2021-6\n", + " 181285\n", + " 165413.667248\n", + " \n", + " \n", + " 14\n", + " 2021-2\n", + " 156257\n", + " 158592.509085\n", + " \n", + " \n", + " 15\n", + " 2018-11\n", + " 424978\n", + " 393264.032867\n", + " \n", + " \n", + " 16\n", + " 2019-8\n", + " 346070\n", + " 391839.729404\n", + " \n", + " \n", + " 17\n", + " 2018-12\n", + " 360239\n", + " 387170.099655\n", + " \n", + " \n", + " 18\n", + " 2019-12\n", + " 365057\n", + " 403329.566396\n", + " \n", + " \n", + " 19\n", + " 2021-7\n", + " 172026\n", + " 172070.713297\n", + " \n", + " \n", + " 20\n", + " 2019-7\n", + " 372019\n", + " 400838.564600\n", + " \n", + " \n", + " 21\n", + " 2019-1\n", + " 434428\n", + " 418610.505910\n", + " \n", + " \n", + " 22\n", + " 2021-1\n", + " 177280\n", + " 179217.039411\n", " \n", " \n", "\n", "" ], "text/plain": [ - " month sum(area_sums) sum(prediction)\n", - "0 12 258103 207578.423603\n", - "1 10 265236 210299.350589\n", - "2 11 275975 201316.311757" + " year_month sum(area_sums) sum(prediction)\n", + "0 2019-10 435438 418766.823378\n", + "1 2019-4 458738 437424.914776\n", + "2 2019-11 428752 411241.410744\n", + "3 2021-3 178045 193006.695556\n", + "4 2021-4 176680 178816.816038\n", + "5 2019-9 351479 395490.044955\n", + "6 2019-2 452100 419238.609782\n", + "7 2019-5 456471 446927.511582\n", + "8 2019-6 422260 417559.979058\n", + "9 2021-5 183403 177115.769091\n", + "10 2021-9 193462 182082.974058\n", + "11 2021-8 163498 158309.023479\n", + "12 2019-3 474323 486828.015158\n", + "13 2021-6 181285 165413.667248\n", + "14 2021-2 156257 158592.509085\n", + "15 2018-11 424978 393264.032867\n", + "16 2019-8 346070 391839.729404\n", + "17 2018-12 360239 387170.099655\n", + "18 2019-12 365057 403329.566396\n", + "19 2021-7 172026 172070.713297\n", + "20 2019-7 372019 400838.564600\n", + "21 2019-1 434428 418610.505910\n", + "22 2021-1 177280 179217.039411" ] }, - "execution_count": 47, + "execution_count": 107, "metadata": {}, "output_type": "execute_result" } ], "source": [ "monthly_real_pd = monthly_real.toPandas()\n", - "monthly_first_preds_pd = monthly_first_preds.toPandas()\n", - "combined_df = monthly_real_pd.merge(monthly_first_preds_pd, left_on='month', right_on='month', how='inner')\n", + "monthly_pre_program_preds_pd = monthly_pre_program_preds.toPandas()\n", + "combined_df = monthly_real_pd.merge(monthly_pre_program_preds_pd, left_on='year_month', right_on='year_month', how='inner')\n", "combined_df" ] }, { "cell_type": "code", - "execution_count": 48, - "id": "cd3da028-b75d-4145-ac69-3caa69704db7", + "execution_count": 79, + "id": "7b2e2d29-471e-4fe6-a4cf-52866411961b", "metadata": {}, "outputs": [ { "data": { + "image/png": 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", "text/plain": [ - "" + "
" ] }, - "execution_count": 48, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" }, { "data": { - "image/png": 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qVF9eXo6XXnoJ3377rdEFFevPxblx40ajCyp+/PHHjS6ouGLFikYXVKw/tJWeno6VK1fiyJEjcHBwwLJly/DGG2/wgordSFuGuB5wscXoetfs4RAXUfdUYxBIuVg7yfqH9DzcrHcl6yFqW8z3dcN8Xw009pxkTZ2Dt9gwEQYh07taVI40OfQUID1LjxIOcRH1WuVVNTh0Rofdadk4dFaHqprbV7Ie6+mIR0a7YfYITrIm02IQMhEGoY5p6xDXqFuhZ/Q9HOIi6o30pVXYn5GL3WnZOHLxhrxeaWmBaUMGIsTXDdOGOKOvFSdZU8cwCJkIg1Dr1R/iOp5ViLRMDnERUfOyC8uwV5uDqLRsnL16U15v27cPHvZxRchoN4zz4iRrah8GIRNhEGpee4a4RnnYY4SbBBsVh7iI6LbTuUXyJOtc/e2jxq5SX8wbpUHIaDcMdeXfwdR6DEImwiBUq7Ty9oUK625NUf8vqzo2SkuMcK+9Vg+HuIiorQwGgZSLN7BHm4196bm4WX57krW3iy3mj9Zgvq8b3DjJmlrAIGQi5hiEagwCv+iK5ZuPcoiLiLpCeVUN4s7qEJWWg4NndKisMcjbxno5IsTXDXNGuELqx0nW1BiDkImYQxCqP8R1/EohTmQVNjvENareNXs4xEVEd4u+tAo/ZOQiSpuN5F+NJ1lP9R6IkNFumM5J1lQPg5CJ9LYgVFpZjXT5XlzND3H1U1piJIe4iKgbyiksw97jtZOsz+TVm2St6oPZI9QI8XXDuHsH8Oi0mWMQMpGeHITaM8RVd8Tnfmdb/iVCRN3embwiRKXlYK82Gzn1/lGntuuLeb4azPfVYJirXasvoku9B4OQifSkIHS1qPz2kZ7M5oe41Ha3zuLiEBcR9RIGg8CRS7cmWZ/IRVG9Sdb3O/dHyOjaK1m7O/TrwlbS3cQgZCLdNQi1d4jL18MeaolDXETUe1VU1yDu7DVEpWXjxzM6VFbfnmQ9xtMBIaNrJ1nb91N2YSupszEImUh3CEJ1Q1zHrxTW3nn91r24ahqMcdUNccm3peAQFxGZOX1ZFaIzchGVloPki/mo+8WzslQg4AFnPDLaDTOGcpJ1b8QgZCJdEYR0ReVy4NFmFiI9W4/iejcsrMMhLiKi1svV37qStTYHp3OL5PX9VX0wy0eNR0a7YTwnWfcaDEIm0tlBqP4Q1/Gs2uCTc4chrlEe9hh965o9HOIiImqfs3k35StZZxeWyetd7FSYO7L2StbDNZxk3ZMxCJlIZwWhvyddwo4jVzjERUTUhQwGgf9cLsDutGzsT8+FvqxK3jbYuT9CfGuvZO3hyEnWPQ2DkIl0VhD66MA5fHTgPIDbQ1x1d14f6c4hLiKiu62iugbxZ68hSpuNA6eNJ1k/OMgB80e7IXiEKxxsOMm6J2AQMpHOCkK/6Irxi+4mh7iIiLqhovIqRGfkYY82G4kXbk+y7mOhwFTvgZjv64aHhrrAWslJ1t0Vg5CJdIezxoiIqOvk6cvx3fEc7E7LxqkGk6yDhqsRMlqDCfc5cfpCN8MgZCIMQkREVOf81dpJ1lFpxpOsnW1VmDtKgxBfN/i4cZJ1d8AgZCIMQkRE1JDBIJCaWYCotGzsS89FYentSdb3DrTBI75umO/rhnsGcJJ1V2EQMhEGISIiupPKagPiz92aZH3qKirqTbL+zT32eGS0G+aM1MCRk6zvKgYhE2EQIiKi1ropT7LOwc8XrhtNsg54YCDmj3bDTE6yvisYhEyEQYiIiNrjalHtJOsobTYysm9PsrZRWiLIR40QXzdMuG8A+lhadGErey8GIRNhECIioo76RXcTUWm1oSir4PYka6f+KswbpUHIaA1GuEmcZG1CDEImwiBERESmIoTAsczaK1nvO5GLgvqTrJ1sEDLaDfN9NRg0wKYLW9k7MAiZCIMQERF1hspqAw7fmmQd22CS9ei6SdYjXDGgv6oLW9lzMQiZCIMQERF1tuKKavw7Iw9R2mz8/Mt11N2C0tJCgSn3OyFktBtmDnNBPyVvv9RaDEImwiBERER3k66oHHuP52CPNgfp2Xp5fT+l5a0rWbthIidZt4hByEQYhIiIqKv8oivGXm02dmuzceVG/UnWSgSP1CBktBtGuXOSdVMYhEyEQYiIiLpa7STrQkSlZeP7EzlGk6y9nGww37f29h6eTpxkXYdByEQYhIiIqDupqjHgp/PXEJWWg5hTeSivuj3J2tfDHiG+GgSP0sDJzCdZMwiZCIMQERF1V8UV1Yg5mYcobQ4Szl8zmmQ9+X4nhPi6IXC4eU6yZhAyEQYhIiLqCXQ3y/H98Vzs0WbjeNbtSdbWVpYIGu6C+aPdMHmwk9lMsmYQMhEGISIi6ml+vVaMKG0O9mizcTm/VF4/wEaJuaM0mO+rga+Hfa+eZM0gZCIMQkRE1FMJIZB2pRB70rLx/Ylc5JdUyts8B/TDfF83hIx2g1cvnGTd2t/vNh0f27hxI8aMGQNbW1s4OzsjJCQEZ8+ebVR3+vRpzJs3D5IkwdbWFuPHj0dmZqa8vaKiAhEREXBycoKNjQ3mzZuHrKwso30UFBQgNDQUkiRBkiSEhoaisLDQqCYzMxNz586FjY0NnJycsGrVKlRWVhrVpKenIyAgANbW1nBzc8Nbb70FZj8iIjIHCoUCv7nHAW/O90HyqzOwLWwM5vtqYG1liUv5pfjzj+cxbXMc5n+cgG0/X8S1mxVd3eS7rk2zp+Lj47Fy5UqMGTMG1dXV+MMf/oDAwECcOnUKNja1afLChQuYNGkSnnnmGbz55puQJAmnT59G37595f2sXr0a3333HSIjIzFgwACsXbsWwcHBSE1NhaWlJQBg8eLFyMrKQnR0NABg6dKlCA0NxXfffQcAqKmpwZw5czBw4EAkJCQgPz8fTz75JIQQ2LJlC4DaNDhz5kxMmzYNR48exblz5xAWFgYbGxusXbu24+8eERFRD2FlaYFpQ5wxbYgzSiqqEXMqD1FpOUj45TqOZ+lxPEuPt/edxsTBTnhktAaBw9SwUfX+SdYdGhq7du0anJ2dER8fjylTpgAAFi1aBCsrK3z99ddNPkev12PgwIH4+uuvsXDhQgBATk4OPDw8sH//fgQFBeH06dMYNmwYkpOTMW7cOABAcnIy/P39cebMGXh7e+OHH35AcHAwrly5Ao1GAwCIjIxEWFgYdDod7Ozs8Mknn2DdunW4evUqVKra0wg3bdqELVu2ICsrq1VjoxwaIyKi3uzazQp8fyIHUdocHL9SKK+3trLEzGEueGS0Gybd7wSrHjbJulOGxhrS62tnpTs6OgIADAYD9u3bhwceeABBQUFwdnbGuHHjEBUVJT8nNTUVVVVVCAwMlNdpNBr4+PggMTERAJCUlARJkuQQBADjx4+HJElGNT4+PnIIAoCgoCBUVFQgNTVVrgkICJBDUF1NTk4OLl261GSfKioqUFRUZLQQERH1VgNtVXhqohf2rJyIQy9OxfMz7ofngH4oq6rB3uM5eGr7UYz74494Y08GjmUW9LrpJe0OQkIIrFmzBpMmTYKPjw8AQKfTobi4GJs2bcKsWbMQExODRx55BI8++iji4+MBAHl5eVAqlXBwcDDan4uLC/Ly8uQaZ2fnRq/p7OxsVOPi4mK03cHBAUql8o41dY/rahrauHGjPC9JkiR4eHi06X0hIiLqqbycbPDCzAdw6MWpiFo5EWETPDHARokbJZX4e9JlPLo1EVM3x+GDmLO4cK24q5trEu0e/AsPD8eJEyeQkJAgrzMYaq9uOX/+fLzwwgsAAF9fXyQmJuLTTz9FQEBAs/sTQhgNVTU1bGWKmrok29yw2Lp167BmzRr5cVFREcMQERGZFYVCAV8Pe/h62OO1OUOR8Mt1RKVl498nr+Jyfin+cvAX/OXgLxjpLmG+rxvmjnKFs23flnfcDbUrCEVERGDv3r04fPgw3N3d5fVOTk7o06cPhg0bZlQ/dOhQOTCp1WpUVlaioKDA6KiQTqfDhAkT5JqrV682et1r167JR3TUajVSUlKMthcUFKCqqsqopuGRH51OBwCNjhTVUalURkNpRERE5qyPpQWmejtjqrczSiurEXvqKnanZeOn89dxIkuPE1l6vLPvFCYOrr2SdZCPGv170CTrNg2NCSEQHh6OXbt24eDBg/Dy8jLarlQqMWbMmEan1J87dw6DBg0CAPj5+cHKygqxsbHy9tzcXGRkZMhByN/fH3q9HkeOHJFrUlJSoNfrjWoyMjKQm5sr18TExEClUsHPz0+uOXz4sNEp9TExMdBoNPD09GxL14mIiMxeP2UfzPd1w/anxiLl1Rl4c95w+HrYwyCAn85fx9r/O44H345FxI40/Hj6KqpqDC3vtIu16ayxFStW4Ntvv8WePXvg7e0tr5ckCdbW1gCA3bt3Y+HChfjrX/+KadOmITo6GqtXr0ZcXBwmTZoEAFi+fDm+//57bN++HY6OjnjxxReRn59vdPr87NmzkZOTg88++wxA7enzgwYNMjp93tfXFy4uLnjvvfdw48YNhIWFISQkRD59Xq/Xw9vbG9OnT8err76K8+fPIywsDG+88UarT5/nWWNERER3dul6CfZocxClzcbF6yXyekcbJeaMcEXIaA1+c4/DXb2Sdat/v0UbAGhy2bZtm1HdF198IQYPHiz69u0rRo0aJaKiooy2l5WVifDwcOHo6Cisra1FcHCwyMzMNKrJz88XS5YsEba2tsLW1lYsWbJEFBQUGNVcvnxZzJkzR1hbWwtHR0cRHh4uysvLjWpOnDghJk+eLFQqlVCr1WLDhg3CYDC0us96vV4AEHq9vtXPISIiMkcGg0FoMwvEhr0Zwu+/Y8Sgl7+Xl0l/+lFs/vcZcf7qzbvSltb+fvMWGy3gESEiIqK2q64x4OcL+diTlo3ok3korayRt41wkzDfV4N5ozRwtuucSda815iJMAgRERF1TN0k6z3aHMSfu4YaQ230sFAAE+5zQtgETzw0rOmTmNqrtb/fPWdaNxEREfVIdZOs5/u6Ib+4AvvScxGVlo1jmYVI+OU6xt/raPIg1FoMQkRERHTXDOivwhP+nnjC3xOX82snWc/3deuy9jAIERERUZcYNMAGq2bc36Vt6Fl3UCMiIiIyIQYhIiIiMlsMQkRERGS2GISIiIjIbDEIERERkdliECIiIiKzxSBEREREZotBiIiIiMwWgxARERGZLQYhIiIiMlsMQkRERGS2GISIiIjIbDEIERERkdliECIiIiKzxSBEREREZotBiIiIiMwWgxARERGZLQYhIiIiMlsMQkRERGS2GISIiIjIbDEIERERkdliECIiIiKzxSBEREREZotBiIiIiMwWgxARERGZLQYhIiIiMlsMQkRERGS2GISIiIjIbDEIERERkdliECIiIiKz1aYgtHHjRowZMwa2trZwdnZGSEgIzp49a1QTFhYGhUJhtIwfP96opqKiAhEREXBycoKNjQ3mzZuHrKwso5qCggKEhoZCkiRIkoTQ0FAUFhYa1WRmZmLu3LmwsbGBk5MTVq1ahcrKSqOa9PR0BAQEwNraGm5ubnjrrbcghGhLt4mIiKiXalMQio+Px8qVK5GcnIzY2FhUV1cjMDAQJSUlRnWzZs1Cbm6uvOzfv99o++rVq7F7925ERkYiISEBxcXFCA4ORk1NjVyzePFiaLVaREdHIzo6GlqtFqGhofL2mpoazJkzByUlJUhISEBkZCR27tyJtWvXyjVFRUWYOXMmNBoNjh49ii1btmDz5s344IMP2vQmERERUS8lOkCn0wkAIj4+Xl735JNPivnz5zf7nMLCQmFlZSUiIyPlddnZ2cLCwkJER0cLIYQ4deqUACCSk5PlmqSkJAFAnDlzRgghxP79+4WFhYXIzs6Wa3bs2CFUKpXQ6/VCCCG2bt0qJEkS5eXlcs3GjRuFRqMRBoOhVX3U6/UCgLxPIiIi6v5a+/vdoTlCer0eAODo6Gi0Pi4uDs7OznjggQfw3HPPQafTydtSU1NRVVWFwMBAeZ1Go4GPjw8SExMBAElJSZAkCePGjZNrxo8fD0mSjGp8fHyg0WjkmqCgIFRUVCA1NVWuCQgIgEqlMqrJycnBpUuXmuxTRUUFioqKjBYiIiLqndodhIQQWLNmDSZNmgQfHx95/ezZs/HNN9/g4MGDeP/993H06FFMnz4dFRUVAIC8vDwolUo4ODgY7c/FxQV5eXlyjbOzc6PXdHZ2NqpxcXEx2u7g4AClUnnHmrrHdTUNbdy4UZ6XJEkSPDw8Wv2eEBERUc/Sp71PDA8Px4kTJ5CQkGC0fuHChfKffXx88OCDD2LQoEHYt28fHn300Wb3J4SAQqGQH9f/sylrxK2J0k09FwDWrVuHNWvWyI+LiooYhoiIiHqpdh0RioiIwN69e3Ho0CG4u7vfsdbV1RWDBg3C+fPnAQBqtRqVlZUoKCgwqtPpdPLRGrVajatXrzba17Vr14xqGh7VKSgoQFVV1R1r6obpGh4pqqNSqWBnZ2e0EBERUe/UpiAkhEB4eDh27dqFgwcPwsvLq8Xn5Ofn48qVK3B1dQUA+Pn5wcrKCrGxsXJNbm4uMjIyMGHCBACAv78/9Ho9jhw5ItekpKRAr9cb1WRkZCA3N1euiYmJgUqlgp+fn1xz+PBho1PqY2JioNFo4Onp2ZauExERUW/UlhnYy5cvF5Ikibi4OJGbmysvpaWlQgghbt68KdauXSsSExPFxYsXxaFDh4S/v79wc3MTRUVF8n6WLVsm3N3dxYEDB8SxY8fE9OnTxahRo0R1dbVcM2vWLDFy5EiRlJQkkpKSxIgRI0RwcLC8vbq6Wvj4+IgZM2aIY8eOiQMHDgh3d3cRHh4u1xQWFgoXFxfx+OOPi/T0dLFr1y5hZ2cnNm/e3Oo+86wxIiKinqe1v99tCkIAmly2bdsmhBCitLRUBAYGioEDBworKytxzz33iCeffFJkZmYa7aesrEyEh4cLR0dHYW1tLYKDgxvV5OfniyVLlghbW1tha2srlixZIgoKCoxqLl++LObMmSOsra2Fo6OjCA8PNzpVXgghTpw4ISZPnixUKpVQq9Viw4YNrT51XggGISIiop6otb/fCiF4meU7KSoqgiRJ0Ov1nC9ERETUQ7T295v3GiMiIiKzxSBEREREZotBiIiIiMwWgxARERGZLQYhIiIiMlsMQkRERGS2GISIiIjIbDEIERERkdliECIiIiKzxSBEREREZotBiIiIiMwWgxARERGZLQYhIiIiMlsMQkRERGS2GISIiIjIbDEIERERkdliECIiIiKzxSBEREREZotBiIiIiMwWgxARERGZrT5d3QAiot7CYDCgsrKyq5tBZBasrKxgaWnZ4f0wCBERmUBlZSUuXrwIg8HQ1U0hMhv29vZQq9VQKBTt3geDEBFRBwkhkJubC0tLS3h4eMDCgrMOiDqTEAKlpaXQ6XQAAFdX13bvi0GIiKiDqqurUVpaCo1Gg379+nV1c4jMgrW1NQBAp9PB2dm53cNk/GcLEVEH1dTUAACUSmUXt4TIvNT9w6Oqqqrd+2AQIiIykY7MUyCitjPFd45BiIiIiMwWgxAREXU7YWFhCAkJ6epmdKnt27fD3t5efrxhwwb4+vp2WXt6KwYhIiJqF3P5YY6Li4NCoUBhYWGXtuPFF1/Ejz/+2KVt6I141hgREVEP0L9/f/Tv37+rm9Hr8IgQEZGJCSFQWlndJYsQok1tjY6OxqRJk2Bvb48BAwYgODgYFy5ckLdnZWVh0aJFcHR0hI2NDR588EGkpKRg+/btePPNN3H8+HEoFAooFAps374dly5dgkKhgFarlfdRWFgIhUKBuLg4ALVn2T3zzDPw8vKCtbU1vL298ec//7nd7/fUqVMRHh6O8PBwuR+vvfaa0XtRUFCAJ554Ag4ODujXrx9mz56N8+fPy9svX76MuXPnwsHBATY2Nhg+fDj279+PS5cuYdq0aQAABwcHKBQKhIWF3ZU2NdTUEbgvv/wSw4cPh0qlgqurK8LDwwEATz/9NIKDg41qq6uroVar8eWXX7bYfnPCI0JERCZWVlWDYW/8u0te+9RbQeinbP1f7SUlJVizZg1GjBiBkpISvPHGG3jkkUeg1WpRWlqKgIAAuLm5Ye/evVCr1Th27BgMBgMWLlyIjIwMREdH48CBAwAASZJw9erVFl/TYDDA3d0d//znP+Hk5ITExEQsXboUrq6uWLBgQbv6/dVXX+GZZ55BSkoK/vOf/2Dp0qUYNGgQnnvuOQC1c47Onz+PvXv3ws7ODi+//DIefvhhnDp1ClZWVli5ciUqKytx+PBh2NjY4NSpU+jfvz88PDywc+dOPPbYYzh79izs7Ozk69d0dpta8sknn2DNmjXYtGkTZs+eDb1ej59//hkA8Oyzz2LKlCnIzc2VLza4f/9+FBcXt/s97q0YhIiIzNhjjz1m9PiLL76As7MzTp06hcTERFy7dg1Hjx6Fo6MjAGDw4MFybf/+/dGnTx+o1eo2vaaVlRXefPNN+bGXlxcSExPxz3/+s90/0h4eHvjwww+hUCjg7e2N9PR0fPjhh3juuefksPHzzz9jwoQJAIBvvvkGHh4eiIqKwm9/+1tkZmbisccew4gRIwAA9957r7zvur47OzsbTV7u7Da15O2338batWvx/PPPy+vGjBkDAJgwYQK8vb3x9ddf4/e//z0AYNu2bfjtb3/L4bUGGISIiEzM2soSp94K6rLXbosLFy7g9ddfR3JyMq5fvy7fKy0zMxNarRajR4+Wg4Apffrpp/if//kfXL58GWVlZaisrOzQxOvx48cbXVPG398f77//PmpqanD69Gn06dMH48aNk7cPGDAA3t7eOH36NABg1apVWL58OWJiYvDQQw/hsccew8iRI9vdHlO06U50Oh1ycnIwY8aMZmueffZZfP755/j9738PnU6Hffv2cbJ1E9o0R2jjxo0YM2YMbG1t4ezsjJCQEJw9e7bZ+t/97ndQKBT46KOPjNZXVFQgIiICTk5OsLGxwbx585CVlWVUU1BQgNDQUEiSBEmSEBoa2mjGfmZmJubOnQsbGxs4OTlh1apVje78nJ6ejoCAAFhbW8PNzQ1vvfVWm8fQiYjaQqFQoJ+yT5csbb3A3Ny5c5Gfn4+//e1vSElJQUpKCoDam8i2dgiovrr7rNX/e7bhVX//+c9/4oUXXsDTTz+NmJgYaLVaPPXUU43+/jaV5v7OF0LI79ezzz6LX3/9FaGhoUhPT8eDDz6ILVu2dEp7WtumO2nNZ/PEE0/g119/RVJSEv73f/8Xnp6emDx5cpvb2tu1KQjFx8dj5cqVSE5ORmxsLKqrqxEYGIiSkpJGtVFRUUhJSYFGo2m0bfXq1di9ezciIyORkJCA4uJiBAcHy5epB4DFixdDq9UiOjoa0dHR0Gq1CA0NlbfX1NRgzpw5KCkpQUJCAiIjI7Fz506sXbtWrikqKsLMmTOh0Whw9OhRbNmyBZs3b8YHH3zQlm4TEfVK+fn5OH36NF577TXMmDEDQ4cORUFBgbx95MiR0Gq1uHHjRpPPVyqVRn9vA8DAgQMBALm5ufK6+hOnAeCnn37ChAkTsGLFCowePRqDBw82mqDdHsnJyY0e33///bC0tMSwYcNQXV0thzygtu/nzp3D0KFD5XUeHh5YtmwZdu3ahbVr1+Jvf/ub3E8Ajfp6N9rUHFtbW3h6et7xCM+AAQMQEhKCbdu2Ydu2bXjqqafa1H6zITpAp9MJACI+Pt5ofVZWlnBzcxMZGRli0KBB4sMPP5S3FRYWCisrKxEZGSmvy87OFhYWFiI6OloIIcSpU6cEAJGcnCzXJCUlCQDizJkzQggh9u/fLywsLER2drZcs2PHDqFSqYRerxdCCLF161YhSZIoLy+XazZu3Cg0Go0wGAyt6qNerxcA5H0SETVUVlYmTp06JcrKyrq6KW1SU1MjBgwYIP7rv/5LnD9/Xvz4449izJgxAoDYvXu3qKioEA888ICYPHmySEhIEBcuXBD/+te/RGJiohBCiG+++UbY2NiItLQ0ce3aNfnv2vHjx4vJkyeLkydPivj4eDF27FgBQBw6dEgIIcRHH30k7OzsRHR0tDh79qx47bXXhJ2dnRg1apTctieffFLMnz+/Vf0ICAgQ/fv3Fy+88II4c+aM+Pbbb4WNjY349NNP5Zr58+eLYcOGiZ9++klotVoxa9YsMXjwYFFZWSmEEOL5558X0dHR4tdffxWpqali7NixYsGCBUKI2t80hUIhtm/fLnQ6nbh58+ZdadO2bduEJEly/fr1643eo+3bt4u+ffuKP//5z+LcuXMiNTVV/OUvfzFqR0xMjFAqlcLS0tLo97K3uNN3r7W/3x06fV6v1wOA0fixwWBAaGgoXnrpJQwfPrzRc1JTU1FVVYXAwEB5nUajgY+PDxITEwEASUlJkCTJaOx0/PjxkCTJqMbHx8foiFNQUBAqKiqQmpoq1wQEBEClUhnV5OTk4NKlS032qaKiAkVFRUYLEVFvZGFhgcjISKSmpsLHxwcvvPAC3nvvPXm7UqlETEwMnJ2d8fDDD2PEiBHYtGmTfJfvxx57DLNmzcK0adMwcOBA7NixA0DtKd1VVVV48MEH8fzzz+Ptt982et1ly5bh0UcfxcKFCzFu3Djk5+djxYoVHerLE088gbKyMowdOxYrV65EREQEli5dKm/ftm0b/Pz8EBwcDH9/fwghsH//fvnsrJqaGqxcuRJDhw7FrFmz4O3tja1btwIA3Nzc8Oabb+KVV16Bi4uLfIp6Z7epJU8++SQ++ugjbN26FcOHD0dwcHCj0+8feughuLq6IigoqMkRGkL7jwgZDAYxd+5cMWnSJKP1f/zjH8XMmTPlIy4Njwh98803QqlUNtrfzJkzxdKlS4UQQrzzzjvi/vvvb1Rz//33iz/+8Y9CCCGee+45MXPmzEY1SqVSfPvtt/I+n3vuOaPt2dnZAoD8L5qG1q9fLwA0WnhEiIia01OPCPUWAQEB4vnnn+/qZhjpLm0qKSkRkiSJnTt3dnVTOoUpjgi1+6yx8PBwnDhxAgkJCfK61NRU/PnPf8axY8faPGFPNJgg1tTzTVEjbk1Qa65969atw5o1a+THRUVF8PDwaGUviIiIup7BYEBeXh7ef/99SJKEefPmdXWTuq12BaGIiAjs3bsXhw8fhru7u7z+p59+gk6nwz333COvq6mpwdq1a/HRRx/h0qVLUKvVqKysREFBARwcHOQ6nU4nX0tBrVY3eVGua9euwcXFRa6pP8kMqD3TrKqqyqgmLy/PqEan0wGAXNOQSqUyGkojIqKuk5mZiWHDhjW7/dSpU3exNbW6Y5sayszMhJeXF9zd3bF9+3b06cOr5TSnTe+MEAIRERHYvXs34uLi4OXlZbQ9NDQUDz30kNG6oKAghIaGyrPV/fz8YGVlhdjYWPnCWbm5ucjIyMC7774LoPZaC3q9HkeOHMHYsWMBACkpKdDr9XJY8vf3xzvvvGN01cyYmBioVCr4+fnJNa+++ioqKyvlWf8xMTHQaDTw9PRsS9eJiKgLaDSaRmedNdxed+uOu6U7tqkhT09PXiqmtdoyFrd8+XIhSZKIi4sTubm58lJaWtrscxrOERJCiGXLlgl3d3dx4MABcezYMTF9+nQxatQoUV1dLdfMmjVLjBw5UiQlJYmkpCQxYsQIERwcLG+vrq4WPj4+YsaMGeLYsWPiwIEDwt3dXYSHh8s1hYWFwsXFRTz++OMiPT1d7Nq1S9jZ2YnNmze3us88a4yIWsI5QkRd466fNfbJJ59Ar9dj6tSpcHV1lZd//OMfbQpfH374IUJCQrBgwQJMnDgR/fr1w3fffSefiQDUXmp8xIgRCAwMRGBgIEaOHImvv/5a3m5paYl9+/ahb9++mDhxIhYsWICQkBBs3rxZrpEkCbGxscjKysKDDz6IFStWYM2aNUZzgIiIiMh8KYTgsbM7KSoqgiRJ0Ov1sLOz6+rmEFE3VF5ejosXL8LLywt9+/bt6uYQmY07ffda+/vdoesIEREREfVkDEJERERkthiEiIiIyGwxCBERUafz9PTERx99JD9WKBSIioq66+3YsGEDfH19Tb7fuLg4KBQKFBYW3rGu4fvQ29T/XC9dugSFQnHHSw10BwxCRER01+Xm5mL27Nmtqu2s8GJKEyZMQG5uLiRJAgBs374d9vb2Xdae7hC4PDw8kJubCx8fny5tR0t4qUkiImqV+hen7Si1Wm2S/XQXSqWy1/WpoywtLXvEe8IjQkREZmrq1KkIDw9HeHg47O3tMWDAALz22mvyFYk9PT3x9ttvIywsDJIk4bnnngMAJCYmYsqUKbC2toaHhwdWrVqFkpISeb86nQ5z586FtbU1vLy88M033zR67YZDY1lZWVi0aBEcHR1hY2ODBx98ECkpKdi+fTvefPNNHD9+HAqFAgqFAtu3bwcA6PV6LF26FM7OzrCzs8P06dNx/Phxo9fZtGkTXFxcYGtri2eeeQbl5eWtem/S09NhYWGB69evA6i9hZOFhQV++9vfyjUbN26Ev78/AOOhsbi4ODz11FPQ6/Vymzds2CA/r7S0FE8//TRsbW1xzz334PPPP2/02tOnT4e1tTUGDBiApUuXori42OhzW716tdFzQkJCEBYWJm+/fPkyXnjhBfn1W1J3BCsqKgoPPPAA+vbti5kzZ+LKlStGdZ988gnuu+8+KJVKeHt7G13fr6GmhsZOnjyJOXPmwM7ODra2tpg8eTIuXLiAw4cPw8rKqtFtsdauXYspU6a02P6OYBAiIjI1IYDKkq5Z2nhpuK+++gp9+vRBSkoK/vKXv+DDDz/E//zP/8jb33vvPfj4+CA1NRWvv/460tPTERQUhEcffRQnTpzAP/7xDyQkJCA8PFx+TlhYGC5duoSDBw/iX//6F7Zu3Srf57EpxcXFCAgIQE5ODvbu3Yvjx4/j97//PQwGAxYuXIi1a9di+PDhyM3NRW5uLhYuXAghBObMmYO8vDzs378fqamp+M1vfoMZM2bgxo0bAIB//vOfWL9+Pd555x385z//gaurK7Zu3dqq98XHxwcDBgxAfHw8AODw4cMYMGAADh8+LNfExcUhICCg0XMnTJiAjz76CHZ2dnKbX3zxRXn7+++/jwcffBBpaWlYsWIFli9fjjNnzgCoDUmzZs2Cg4MDjh49iv/7v//DgQMHjN7fluzatQvu7u5466235NdvjdLSUrzzzjv46quv8PPPP6OoqAiLFi2St+/evRvPP/881q5di4yMDPzud7/DU089hUOHDrVq/9nZ2ZgyZQr69u2LgwcPIjU1FU8//TSqq6sxZcoU3HvvvUbBqrq6Gv/7v/8r36Krs3BojIjI1KpKgT9quua1X80BlDatLvfw8MCHH34IhUIBb29vpKen48MPP5SP/kyfPt3oR/yJJ57A4sWL5SMS999/P/7yl78gICAAn3zyCTIzM/HDDz8gOTkZ48aNAwB88cUXGDp0aLNt+Pbbb3Ht2jUcPXoUjo6OAIDBgwfL2/v3748+ffoYDbMcPHgQ6enp0Ol08o2yN2/ejKioKPzrX//C0qVL8dFHH+Hpp5/Gs88+CwB4++23ceDAgVYdFVIoFJgyZQri4uLw2GOPIS4uDk8++SS++uornDp1Cg888AASExPxwgsvNHquUqmEJElQKBRNDg09/PDDWLFiBQDg5Zdfxocffoi4uDgMGTIE33zzDcrKyvD3v/8dNja1n+PHH3+MuXPn4k9/+lOzNwyvz9HREZaWlrC1tW3T0FRVVRU+/vhj+XP76quvMHToUPm+n5s3b0ZYWJjc9jVr1iA5ORmbN2/GtGnTWtz/X//6V0iShMjISFhZWQEAHnjgAXn7M888g23btuGll14CAOzbtw+lpaXyfUk7C48IERGZsfHjxxsNnfj7++P8+fOoqakBADz44ING9ampqdi+fTv69+8vL0FBQTAYDLh48SJOnz6NPn36GD1vyJAhd5w4rNVqMXr0aDkEtUZqaiqKi4sxYMAAo7ZcvHgRFy5cAACcPn1aHrqq37/Wmjp1qnzz1Pj4eEybNg1TpkxBfHw8jh49irKyMkycOLHV+6szcuRI+c91YanuiNnp06cxatQoOQQBwMSJE2EwGHD27Nk2v1ZbNPe5nT59Wm5bw/5OnDhR3t4SrVaLyZMnyyGoobCwMPzyyy9ITk4GAHz55ZdYsGCB0XvRGXhEiIjI1Kz61R6Z6arXNqGGP0IGgwG/+93vsGrVqka199xzj/xj3Zp5KXWsra3b3C6DwQBXV9cm7/JuqrO1pk6diueffx6//PILMjIy5Pks8fHxKCwshJ+fH2xtbdu834ZBQKFQwGAwAACEEM2+d3XrLSwsGt1Zvqqqqs3tuNNrNLeu4fY7tbehlj5nZ2dnzJ07F9u2bcO9996L/fv3N/n5mhqPCBERmZpCUTs81RVLGwIIAPlf3/Uf33///UY3wa7vN7/5DU6ePInBgwc3WpRKJYYOHYrq6mr85z//kZ9z9uzZO15fZ+TIkdBqtfLcnoaUSqV8hKp+O/Ly8tCnT59G7XBycgIADB06tMn+tVbdPKG3334bo0aNgp2dHQICAhAfH9/s/KA7tbk1hg0bBq1WazT5/Oeff4aFhYU8jDRw4ECjeT81NTXIyMjo8Os397kNGTIEQO37mZCQYPScxMTEOw571jdy5Ej89NNPdwxtzz77LCIjI/HZZ5/hvvvua9cRt7ZiECIiMmNXrlzBmjVrcPbsWezYsQNbtmzB888/32z9yy+/jKSkJKxcuRJarRbnz5/H3r17ERERAQDw9vbGrFmz8NxzzyElJQWpqal49tln73g04PHHH4darUZISAh+/vln/Prrr9i5cyeSkpIA1J69dvHiRWi1Wly/fh0VFRV46KGH4O/vj5CQEPz73//GpUuXkJiYiNdee03+MX/++efx5Zdf4ssvv8S5c+ewfv16nDx5stXvTd08of/93//F1KlTAdT+mFdWVuLHH3+U1zXF09MTxcXF+PHHH3H9+nWUlpa26jWXLFmCvn374sknn0RGRgYOHTqEiIgIhIaGyvODpk+fjn379mHfvn04c+YMVqxY0Shoenp64vDhw8jOzpbPfGuJlZUVIiIikJKSgmPHjuGpp57C+PHjMXbsWADASy+9hO3bt+PTTz/F+fPn8cEHH2DXrl1Gc8juJDw8XJ6A/Z///Afnz5/H119/bTTkFxQUBEmS8Pbbb3f6JOk6DEJERGbsiSeeQFlZGcaOHYuVK1ciIiICS5cubbZ+5MiRiI+Px/nz5zF58mSMHj0ar7/+OlxdXeWabdu2wcPDAwEBAXj00UflU9ybo1QqERMTA2dnZzz88MMYMWIENm3aJB+VeuyxxzBr1ixMmzYNAwcOxI4dO6BQKLB//35MmTIFTz/9NB544AEsWrQIly5dkgPDwoUL8cYbb+Dll1+Gn58fLl++jOXLl7fp/Zk2bRpqamrk0KNQKDB58mQAwKRJk5p93oQJE7Bs2TIsXLgQAwcOxLvvvtuq1+vXrx/+/e9/48aNGxgzZgz+3//7f5gxYwY+/vhjuebpp5/Gk08+iSeeeAIBAQHw8vJqNFn5rbfewqVLl3Dfffdh4MCBrX7tl19+GYsXL4a/vz+sra0RGRkpbw8JCcGf//xnvPfeexg+fDg+++wzbNu27Y6BsL4BAwbg4MGD8lmCfn5++Nvf/mY0VGhhYYGwsDDU1NTgiSeeaNV+O0ohGg40kpGioiJIkgS9Xg87O7uubg4RdUPl5eW4ePEivLy80Ldv365uTqtNnToVvr6+XX4FYup627dvx+rVq1u8Rcjd8Nxzz+Hq1avYu3dvi7V3+u619vebk6WJiIioy+n1ehw9ehTffPMN9uzZc9del0GIiIjMUv/+/Zvd9sMPP8hDYL3B7Nmz8dNPPzW57dVXX4VG00XXvapn/vz5OHLkCH73u99h5syZd+11OTTWAg6NEVFLeurQmLn75Zdfmt3m5ubWrtP6u6vs7GyUlZU1uc3R0bFN13DqTjg0RkRE1E71r17d27m5uXV1E7otnjVGRGQiPMBOdHeZ4jvHIERE1EF1p3lXVlZ2cUuIzEvd9Zmau21Ha3BojIiog/r06YN+/frh2rVrsLKygoUF/41J1JmEECgtLYVOp4O9vX2zV0JvDQYhIqIOUigUcHV1xcWLF3H58uWubg6R2bC3t4dare7QPhiEiIhMQKlU4v777+fwGNFdYmVl1aEjQXUYhIiITMTCwoKnzxP1MBzIJiIiIrPFIERERERmi0GIiIiIzBaDEBEREZktBiEiIiIyWwxCREREZLYYhIiIiMhsMQgRERGR2WIQIiIiIrPVpiC0ceNGjBkzBra2tnB2dkZISAjOnj1rVLNhwwYMGTIENjY2cHBwwEMPPYSUlBSjmoqKCkRERMDJyQk2NjaYN28esrKyjGoKCgoQGhoKSZIgSRJCQ0NRWFhoVJOZmYm5c+fCxsYGTk5OWLVqVaPL26enpyMgIADW1tZwc3PDW2+9BSFEW7pNREREvVSbglB8fDxWrlyJ5ORkxMbGorq6GoGBgSgpKZFrHnjgAXz88cdIT09HQkICPD09ERgYiGvXrsk1q1evxu7duxEZGYmEhAQUFxcjODgYNTU1cs3ixYuh1WoRHR2N6OhoaLVahIaGyttramowZ84clJSUICEhAZGRkdi5cyfWrl0r1xQVFWHmzJnQaDQ4evQotmzZgs2bN+ODDz5o15tFREREvYzoAJ1OJwCI+Pj4Zmv0er0AIA4cOCCEEKKwsFBYWVmJyMhIuSY7O1tYWFiI6OhoIYQQp06dEgBEcnKyXJOUlCQAiDNnzgghhNi/f7+wsLAQ2dnZcs2OHTuESqUSer1eCCHE1q1bhSRJory8XK7ZuHGj0Gg0wmAwtKqPde2v2ycRERF1f639/e7QHCG9Xg8AcHR0bHJ7ZWUlPv/8c0iShFGjRgEAUlNTUVVVhcDAQLlOo9HAx8cHiYmJAICkpCRIkoRx48bJNePHj4ckSUY1Pj4+0Gg0ck1QUBAqKiqQmpoq1wQEBEClUhnV5OTk4NKlS022uaKiAkVFRUYLERER9U7tDkJCCKxZswaTJk2Cj4+P0bbvv/8e/fv3R9++ffHhhx8iNjYWTk5OAIC8vDwolUo4ODgYPcfFxQV5eXlyjbOzc6PXdHZ2NqpxcXEx2u7g4AClUnnHmrrHdTUNbdy4UZ6XJEkSPDw8WvV+EBERUc/T7iAUHh6OEydOYMeOHY22TZs2DVqtFomJiZg1axYWLFgAnU53x/0JIaBQKOTH9f9syhpxa6J0U88FgHXr1kGv18vLlStX7thuIiIi6rnaFYQiIiKwd+9eHDp0CO7u7o2229jYYPDgwRg/fjy++OIL9OnTB1988QUAQK1Wo7KyEgUFBUbP0el08tEatVqNq1evNtrvtWvXjGoaHtUpKChAVVXVHWvqAlnDI0V1VCoV7OzsjBYiIiLqndoUhIQQCA8Px65du3Dw4EF4eXm1+nkVFRUAAD8/P1hZWSE2Nlbenpubi4yMDEyYMAEA4O/vD71ejyNHjsg1KSkp0Ov1RjUZGRnIzc2Va2JiYqBSqeDn5yfXHD582OiU+piYGGg0Gnh6eral60RERNQbtWUG9vLly4UkSSIuLk7k5ubKS2lpqRBCiOLiYrFu3TqRlJQkLl26JFJTU8UzzzwjVCqVyMjIkPezbNky4e7uLg4cOCCOHTsmpk+fLkaNGiWqq6vlmlmzZomRI0eKpKQkkZSUJEaMGCGCg4Pl7dXV1cLHx0fMmDFDHDt2TBw4cEC4u7uL8PBwuaawsFC4uLiIxx9/XKSnp4tdu3YJOzs7sXnz5lb3mWeNERER9Tyt/f1uUxAC0OSybds2IYQQZWVl4pFHHhEajUYolUrh6uoq5s2bJ44cOWK0n7KyMhEeHi4cHR2FtbW1CA4OFpmZmUY1+fn5YsmSJcLW1lbY2tqKJUuWiIKCAqOay5cvizlz5ghra2vh6OgowsPDjU6VF0KIEydOiMmTJwuVSiXUarXYsGFDq0+dF4JBiIiIqCdq7e+3QgheZvlOioqKIEkS9Ho95wsRERH1EK39/ea9xoiIiMhsMQgRERGR2WIQIiIiIrPFIERERERmi0GIiIiIzBaDEBEREZktBiEiIiIyWwxCREREZLYYhIiIiMhsMQgRERGR2WIQIiIiIrPFIERERERmi0GIiIiIzBaDEBEREZktBiEiIiIyWwxCREREZLYYhIiIiMhsMQgRERGR2WIQIiIiIrPFIERERERmi0GIiIiIzBaDEBEREZktBiEiIiIyWwxCREREZLYYhIiIiMhsMQgRERGR2WIQIiIiIrPFIERERERmi0GIiIiIzBaDEBEREZktBiEiIiIyWwxCREREZLYYhIiIiMhsMQgRERGR2WpTENq4cSPGjBkDW1tbODs7IyQkBGfPnpW3V1VV4eWXX8aIESNgY2MDjUaDJ554Ajk5OUb7qaioQEREBJycnGBjY4N58+YhKyvLqKagoAChoaGQJAmSJCE0NBSFhYVGNZmZmZg7dy5sbGzg5OSEVatWobKy0qgmPT0dAQEBsLa2hpubG9566y0IIdrSbSIiIuql2hSE4uPjsXLlSiQnJyM2NhbV1dUIDAxESUkJAKC0tBTHjh3D66+/jmPHjmHXrl04d+4c5s2bZ7Sf1atXY/fu3YiMjERCQgKKi4sRHByMmpoauWbx4sXQarWIjo5GdHQ0tFotQkND5e01NTWYM2cOSkpKkJCQgMjISOzcuRNr166Va4qKijBz5kxoNBocPXoUW7ZswebNm/HBBx+0680iIiKiXkZ0gE6nEwBEfHx8szVHjhwRAMTly5eFEEIUFhYKKysrERkZKddkZ2cLCwsLER0dLYQQ4tSpUwKASE5OlmuSkpIEAHHmzBkhhBD79+8XFhYWIjs7W67ZsWOHUKlUQq/XCyGE2Lp1q5AkSZSXl8s1GzduFBqNRhgMhlb1Ua/XCwDyPomIiKj7a+3vd4fmCOn1egCAo6PjHWsUCgXs7e0BAKmpqaiqqkJgYKBco9Fo4OPjg8TERABAUlISJEnCuHHj5Jrx48dDkiSjGh8fH2g0GrkmKCgIFRUVSE1NlWsCAgKgUqmManJycnDp0qUm21tRUYGioiKjhYiIiHqndgchIQTWrFmDSZMmwcfHp8ma8vJyvPLKK1i8eDHs7OwAAHl5eVAqlXBwcDCqdXFxQV5enlzj7OzcaH/Ozs5GNS4uLkbbHRwcoFQq71hT97iupqGNGzfK85IkSYKHh8cd3wciIiLqudodhMLDw3HixAns2LGjye1VVVVYtGgRDAYDtm7d2uL+hBBQKBTy4/p/NmWNuDVRuqnnAsC6deug1+vl5cqVKy22nYiIiHqmdgWhiIgI7N27F4cOHYK7u3uj7VVVVViwYAEuXryI2NhY+WgQAKjValRWVqKgoMDoOTqdTj5ao1arcfXq1Ub7vXbtmlFNw6M6BQUFqKqqumONTqcDgEZHiuqoVCrY2dkZLURERNQ7tSkICSEQHh6OXbt24eDBg/Dy8mpUUxeCzp8/jwMHDmDAgAFG2/38/GBlZYXY2Fh5XW5uLjIyMjBhwgQAgL+/P/R6PY4cOSLXpKSkQK/XG9VkZGQgNzdXromJiYFKpYKfn59cc/jwYaNT6mNiYqDRaODp6dmWrhMREVEvpBCi9RfVWbFiBb799lvs2bMH3t7e8npJkmBtbY3q6mo89thjOHbsGL7//nujoy6Ojo5QKpUAgOXLl+P777/H9u3b4ejoiBdffBH5+flITU2FpaUlAGD27NnIycnBZ599BgBYunQpBg0ahO+++w5A7enzvr6+cHFxwXvvvYcbN24gLCwMISEh2LJlC4Daidre3t6YPn06Xn31VZw/fx5hYWF44403jE6zv5OioiJIkgS9Xs+jQ0RERD1Eq3+/23IqGoAml23btgkhhLh48WKzNYcOHZL3U1ZWJsLDw4Wjo6OwtrYWwcHBIjMz0+i18vPzxZIlS4Stra2wtbUVS5YsEQUFBUY1ly9fFnPmzBHW1tbC0dFRhIeHG50qL4QQJ06cEJMnTxYqlUqo1WqxYcOGVp86LwRPnyciIuqJWvv73aYjQuaIR4SIiIh6ntb+fvNeY0RERGS2GISIiIjIbDEIERERkdliECIiIiKzxSBEREREZotBiIiIiMwWgxARERGZLQYhIiIiMlsMQkRERGS2GISIiIjIbDEIERERkdliECIiIiKzxSBEREREZotBiIiIiMwWgxARERGZLQYhIiIiMlsMQkRERGS2GISIiIjIbDEIERERkdliECIiIiKzxSBEREREZotBiIiIiMwWgxARERGZLQYhIiIiMlsMQkRERGS2GISIiIjIbDEIERERkdliECIiIiKzxSBEREREZotBiIiIiMwWgxARERGZLQYhIiIiMlsMQkRERGS2GISIiIjIbLUpCG3cuBFjxoyBra0tnJ2dERISgrNnzxrV7Nq1C0FBQXBycoJCoYBWq220n4qKCkRERMDJyQk2NjaYN28esrKyjGoKCgoQGhoKSZIgSRJCQ0NRWFhoVJOZmYm5c+fCxsYGTk5OWLVqFSorK41q0tPTERAQAGtra7i5ueGtt96CEKIt3SYiIqJeqk1BKD4+HitXrkRycjJiY2NRXV2NwMBAlJSUyDUlJSWYOHEiNm3a1Ox+Vq9ejd27dyMyMhIJCQkoLi5GcHAwampq5JrFixdDq9UiOjoa0dHR0Gq1CA0NlbfX1NRgzpw5KCkpQUJCAiIjI7Fz506sXbtWrikqKsLMmTOh0Whw9OhRbNmyBZs3b8YHH3zQlm53jgsHgf2/B1K/ArJSgcqSlp9DREREpiU6QKfTCQAiPj6+0baLFy8KACItLc1ofWFhobCyshKRkZHyuuzsbGFhYSGio6OFEEKcOnVKABDJyclyTVJSkgAgzpw5I4QQYv/+/cLCwkJkZ2fLNTt27BAqlUro9XohhBBbt24VkiSJ8vJyuWbjxo1Co9EIg8HQqj7q9XoBQN6nyfz7D0Kst6u3SEL8ebQQkf8lxKFNQpz6Toj8X4WoqTHt6xIREZmB1v5+9+lIiNLr9QAAR0fHVj8nNTUVVVVVCAwMlNdpNBr4+PggMTERQUFBSEpKgiRJGDdunFwzfvx4SJKExMREeHt7IykpCT4+PtBoNHJNUFAQKioqkJqaimnTpiEpKQkBAQFQqVRGNevWrcOlS5fg5eXVqH0VFRWoqKiQHxcVFbW6b21y3wxACODqydqlRAfcuFC7nN57u87KBnAZBrgMB1x8av/rPAywtu+cdhEREZmRdgchIQTWrFmDSZMmwcfHp9XPy8vLg1KphIODg9F6FxcX5OXlyTXOzs6Nnuvs7GxU4+LiYrTdwcEBSqXSqMbT07PR69RtayoIbdy4EW+++War+9Nu902rXeoU626HoqsngasZwLUzQFUJkHW0dqlP8rgVjobfDkmO9wGWHcq2REREZqXdv5rh4eE4ceIEEhISTNIQIQQUCoX8uP6fTVkjbk2Ubuq5ALBu3TqsWbNGflxUVAQPD49W9qID+jvXLvXDUU01kP8LoDtpHJL0V24v56Jv11uqgIHet48c1QWk/gM7v/1EREQ9ULuCUEREBPbu3YvDhw/D3d29Tc9Vq9WorKxEQUGB0VEhnU6HCRMmyDVXr15t9Nxr167JR3TUajVSUlKMthcUFKCqqsqopu7oUP3XAdDoaFIdlUplNJTWpSz7AM5Dahefx26vLysEdKduHzm6ehK4eqr26FHeidqlPhtn42DkMgxw8gas+t7V7hAREXU3bQpCQghERERg9+7diIuLa3JoqSV+fn6wsrJCbGwsFixYAADIzc1FRkYG3n33XQCAv78/9Ho9jhw5grFjxwIAUlJSoNfr5bDk7++Pd955B7m5uXB1dQUAxMTEQKVSwc/PT6559dVXUVlZCaVSKddoNJpGQ2Y9irU9MGhC7VLHYAAKL9UGovoB6cavtfOPftUBvx66Xa+wBJzubxCQhgN2bkAzR8uIiIh6G4UQrb+ozooVK/Dtt99iz5498Pb2ltdLkgRra2sAwI0bN5CZmYmcnBzMmTMHkZGR8Pb2hlqthlqtBgAsX74c33//PbZv3w5HR0e8+OKLyM/PR2pqKiwtLQEAs2fPRk5ODj777DMAwNKlSzFo0CB89913AGpPn/f19YWLiwvee+893LhxA2FhYQgJCcGWLVsA1E7m9vb2xvTp0/Hqq6/i/PnzCAsLwxtvvGF0mv2dFBUVQZIk6PV62NnZtfat6j4qSwDdmXpHjm6FpPLCpuv7SsZDa87DAeehgKr/XW02ERFRR7T297tNQai5eTXbtm1DWFgYAGD79u146qmnGtWsX78eGzZsAACUl5fjpZdewrfffouysjLMmDEDW7duNZqLc+PGDaxatQp799aeQTVv3jx8/PHHsLe3l2syMzOxYsUKHDx4ENbW1li8eDE2b95sNLSVnp6OlStX4siRI3BwcMCyZcvwxhtvNNuXhnp8EGqKEEBRzq3htXoB6fo5wFDd9HMcvIyPHLkMr11nwYuTExFR99MpQcgc9cog1Jzqitow1HDuUXFe0/VW/WpP5a9/9przMKBf6y+nQERE1Bla+/vNc63ptj4qQD2idqmv5Hozp/aXAtn/qV3qs3NrPPdowGDA0uru9YWIiKgVeESoBWZ1RKgtaqprJ2LXH1rTnQQKM5uut1TWntrv3ODaR/2dOTmbiIhMjkNjJsIg1EblekB3usHk7JNAZXHT9f2cGs89GjiEp/YTEfVmQgBlBbX/eC7MvDVycJ9JX4JByEQYhEzAYAD0mcZDa1dP1V4sEk3876ewAAbc3/jWIpIHjx4REfUEDYNOU0vlzdv1ge8AE8JN2gTOEaLuw8ICcPCsXYbMub2+srR2rpFRQMqo/fJcP1u7nNx9u15l1/i2Is5DAZXt3e4REZF5a2vQaU5/F8D+HsDaoeXaTsIjQi3gEaG7TAjgZp7xmWu6U8C1s4Chqunn2A9qfFsRRy/AwvLutp2IqLcwddBptAwCJHfAyrrTusChMRNhEOomqiuB/PMNTu0/CdzMbbq+j3Xt0aKG8494aj8RUa8IOi1hEDIRBqFuriS/3k1pb8090p0Gqsuarrd1beLU/vuBPsq7224ios5kBkGnJQxCJsIg1AMZaoAbFxvfVqTwctP1Fla1p/bXv62Iy3DAVs3J2UTUPTHotIhByEQYhHqR8iLjU/t1t25QW1HUdL21Y9On9iv73d12E5H5YdDpMAYhE2EQ6uWEAPRXGs89yv8FEIbG9QoLwPG+egHp1in+9oN49IiIWo9Bp9MxCJkIg5CZqiqrd2r/qdun9pfmN12vtK133aO6U/uHAX35/wyRWWLQ6XK8jhBRR1hZA5rRtUsdIYBiXeOrZl87U/sX2pWU2qU++3tuhyL51P57AUt+9Yh6NAadXoNHhFrAI0LUopoq4Pr52/dbqwtIRdlN1/fpWzvXqOG1j2wG3N12E1HzGHR6PA6NmQiDELVb6Y3bE7LlCdqngarSpuv7q2+FomG3Q5LTA0Af1d1tN5E5YNDp9RiETIRBiEzKUAMUXLp9zaO6gFRwsel6iz61YajhtY9sXTk5m+hOTBV0bJybDjn29wD2Hgw63RiDkIkwCNFdUXET0J1pPP+oQt90fV/7xkNrzkMApc1dbTZRl2HQoRYwCJkIgxB1GSFq5xk1PLX/+nlA1DTxBEXtROyG1z6yH1R741uinoRBhzqIQchEGISo26kqB66fNb5q9tWTQMm1puutbOqd2n8rIDkPA6zt72qziYww6FAn4+nzRL2VVV/AdVTtUl+xznhY7WpG7an9VSVA1tHapT7Jo97QWt2p/ffx1H4yDQYd6iF4RKgFPCJEPVpNFZB/ofHco6KspustVbfuu9Zg/lH/gXe33dT9MehQN8ehMRNhEKJeqazg1n3X6s8/OlV79KgpNs4NzlwbBjh51x6dot6JQYd6OAYhE2EQIrNhMACFlxrPPbpxEUATf00oLAGn+xuf2m/nxlP7ewIGHerlGIRMhEGIzF5lSROn9mcA5YVN1/eVjCdlu/gAzkMBVf+72myzx6BDZo5ByEQYhIiaIARQlNPEqf3nmjm1H4CDV+NT+x28eGp/e92NoCO5A8p+nd8Xok7AIGQiDEJEbVBdURuGGgak4qtN11v1u3XUaJjxUaR+jne33d0Rgw5Rh/D0eSK6+/qoAPWI2qW+4mvGN6S9mlE73FZVCmT/p3apz86t8dyjAYMBS6u715fOxqBD1C3wiFALeESIqJPUVAM3fm18ar8+s+l6S2Xtqf3ODa591N+5e07OZtAh6lIcGjMRBiGiu6ys8Nap/bcCku5U7X8ri5uu7+fUeO7RwCGdf2o/gw5Rt8YgZCIMQkTdgMFQe6So4an9+RfQ9Kn9FrVDaQ2H1ySP1h89YtAh6tEYhEyEQYioG6ssBa6dRqNbi5QVNF2vsmt8WxFLJYMOUS/EIGQiDEJEPYwQwM28Jk7tPwsYqtu+PwYdoh6JZ40RkXlSKAA719rl/odur6+uND61v27ukaGGQYfIjDEIEZF56KME1D61CxZ2dWuIqJto0yVdN27ciDFjxsDW1hbOzs4ICQnB2bNnjWqEENiwYQM0Gg2sra0xdepUnDx50qimoqICERERcHJygo2NDebNm4esLOO7YRcUFCA0NBSSJEGSJISGhqKwsNCoJjMzE3PnzoWNjQ2cnJywatUqVFZWGtWkp6cjICAA1tbWcHNzw1tvvQWOBhIRERHQxiAUHx+PlStXIjk5GbGxsaiurkZgYCBKSm7fsfrdd9/FBx98gI8//hhHjx6FWq3GzJkzcfPm7UmHq1evxu7duxEZGYmEhAQUFxcjODgYNTW3L82/ePFiaLVaREdHIzo6GlqtFqGhofL2mpoazJkzByUlJUhISEBkZCR27tyJtWvXyjVFRUWYOXMmNBoNjh49ii1btmDz5s344IMP2vVmERERUS8jOkCn0wkAIj4+XgghhMFgEGq1WmzatEmuKS8vF5IkiU8//VQIIURhYaGwsrISkZGRck12drawsLAQ0dHRQgghTp06JQCI5ORkuSYpKUkAEGfOnBFCCLF//35hYWEhsrOz5ZodO3YIlUol9Hq9EEKIrVu3CkmSRHl5uVyzceNGodFohMFgaFUf9Xq9ACDvk4iIiLq/1v5+d+huh3q9HgDg6Fh7X6CLFy8iLy8PgYGBco1KpUJAQAASExMBAKmpqaiqqjKq0Wg08PHxkWuSkpIgSRLGjRsn14wfPx6SJBnV+Pj4QKPRyDVBQUGoqKhAamqqXBMQEACVSmVUk5OTg0uXLjXZp4qKChQVFRktRERE1Du1OwgJIbBmzRpMmjQJPj4+AIC8vDwAgIuLi1Gti4uLvC0vLw9KpRIODg53rHF2dm70ms7OzkY1DV/HwcEBSqXyjjV1j+tqGtq4caM8L0mSJHh4eLTwThAREVFP1e4gFB4ejhMnTmDHjh2NtikaXLlVCNFoXUMNa5qqN0WNuDVRurn2rFu3Dnq9Xl6uXLlyx3YTERFRz9WuIBQREYG9e/fi0KFDcHd3l9er1WoAjY+26HQ6+UiMWq1GZWUlCgoK7lhz9erVRq977do1o5qGr1NQUICqqqo71uh0OgCNj1rVUalUsLOzM1qIiIiod2pTEBJCIDw8HLt27cLBgwfh5eVltN3LywtqtRqxsbHyusrKSsTHx2PChAkAAD8/P1hZWRnV5ObmIiMjQ67x9/eHXq/HkSNH5JqUlBTo9XqjmoyMDOTm5so1MTExUKlU8PPzk2sOHz5sdEp9TEwMNBoNPD0929J1IiIi6o3aMgN7+fLlQpIkERcXJ3Jzc+WltLRUrtm0aZOQJEns2rVLpKeni8cff1y4urqKoqIiuWbZsmXC3d1dHDhwQBw7dkxMnz5djBo1SlRXV8s1s2bNEiNHjhRJSUkiKSlJjBgxQgQHB8vbq6urhY+Pj5gxY4Y4duyYOHDggHB3dxfh4eFyTWFhoXBxcRGPP/64SE9PF7t27RJ2dnZi8+bNre4zzxojIiLqeVr7+92mIITa2zw3WrZt2ybXGAwGsX79eqFWq4VKpRJTpkwR6enpRvspKysT4eHhwtHRUVhbW4vg4GCRmZlpVJOfny+WLFkibG1tha2trViyZIkoKCgwqrl8+bKYM2eOsLa2Fo6OjiI8PNzoVHkhhDhx4oSYPHmyUKlUQq1Wiw0bNrT61HkhGISIiIh6otb+fvOmqy3gTVeJiIh6ntb+fnfoOkJEREREPRmDEBEREZktBiEiIiIyW326ugHdXd0UKt5qg4iIqOeo+91uaSo0g1ALbt68CQC81QYREVEPdPPmTUiS1Ox2njXWAoPBgJycHNja2rZ4m5C2KioqgoeHB65cudIrz0hj/3q+3t5H9q/n6+19ZP/aTwiBmzdvQqPRwMKi+ZlAPCLUAgsLC6PbiHSG3n4rD/av5+vtfWT/er7e3kf2r33udCSoDidLExERkdliECIiIiKzxSDUhVQqFdavXw+VStXVTekU7F/P19v7yP71fL29j+xf5+NkaSIiIjJbPCJEREREZotBiIiIiMwWgxARERGZLQYhIiIiMlsMQu1w+PBhzJ07FxqNBgqFAlFRUUbbhRDYsGEDNBoNrK2tMXXqVJw8ebLF/e7cuRPDhg2DSqXCsGHDsHv37kY1W7duhZeXF/r27Qs/Pz/89NNPpuqWkc7o49/+9jdMnjwZDg4OcHBwwEMPPYQjR44Y1WzYsAEKhcJoUavVpu5ep/Rv+/btjdquUChQXl5uVHc3PsPO6N/UqVOb7N+cOXPkmrv1+QEt93HXrl0ICgqCk5MTFAoFtFptq/bbXb6HndG/nvQdbE//utN3EOicPnan7+Gd+ldVVYWXX34ZI0aMgI2NDTQaDZ544gnk5OS0uN+7/R1kEGqHkpISjBo1Ch9//HGT299991188MEH+Pjjj3H06FGo1WrMnDlTvm9ZU5KSkrBw4UKEhobi+PHjCA0NxYIFC5CSkiLX/OMf/8Dq1avxhz/8AWlpaZg8eTJmz56NzMzMHtHHuLg4PP744zh06BCSkpJwzz33IDAwENnZ2UZ1w4cPR25urrykp6ebtG9A5/QPqL06av225+bmom/fvvL2u/UZdkb/du3aZdSvjIwMWFpa4re//a1R3d34/ICW+1hSUoKJEydi06ZNrd5nd/oedkb/etJ3sD39A7rPdxDonD52p+/hnfpXWlqKY8eO4fXXX8exY8ewa9cunDt3DvPmzbvjPrvkOyioQwCI3bt3y48NBoNQq9Vi06ZN8rry8nIhSZL49NNPm93PggULxKxZs4zWBQUFiUWLFsmPx44dK5YtW2ZUM2TIEPHKK690sBd3Zqo+NlRdXS1sbW3FV199Ja9bv369GDVqlCma3Wqm6t+2bduEJEl3fK2u+Aw76/P78MMPha2trSguLpbXdcXnJ0TjPtZ38eJFAUCkpaW1uJ/u+j00Vf8a6q7fwfra0r/u+h0UovM+w+7yPbxT/+ocOXJEABCXL19utqYrvoM8ImRiFy9eRF5eHgIDA+V1KpUKAQEBSExMbPZ5SUlJRs8BgKCgIPk5lZWVSE1NbVQTGBh4x/12hvb2saHS0lJUVVXB0dHRaP358+eh0Wjg5eWFRYsW4ddffzVZ21ujI/0rLi7GoEGD4O7ujuDgYKSlpcnbustnaKrP74svvsCiRYtgY2NjtL6rP7+O6EnfQ1Port/BjugJ30FT6knfQ71eD4VCAXt7+2ZruuI7yCBkYnl5eQAAFxcXo/UuLi7ytuaed6fnXL9+HTU1NW3eb2dobx8beuWVV+Dm5oaHHnpIXjdu3Dj8/e9/x7///W/87W9/Q15eHiZMmID8/HzTNL4V2tu/IUOGYPv27di7dy927NiBvn37YuLEiTh//jyA7vMZmuLzO3LkCDIyMvDss88are8On19H9KTvoSl01+9ge/WU76Cp9KTvYXl5OV555RUsXrz4jjdX7YrvIO8+30kUCoXRYyFEo3XteU579ttZOtKWd999Fzt27EBcXJzR+P3s2bPlP48YMQL+/v6477778NVXX2HNmjWmaXgrtbV/48ePx/jx4+XHEydOxG9+8xts2bIFf/nLX9q9387SkXZ88cUX8PHxwdixY43Wd6fPr7162vewvXrCd7Ctetp3sKN6yvewqqoKixYtgsFgwNatW1usv9vfQR4RMrG6mfkNk6lOp2uUYBs+707PcXJygqWlZZv32xna28c6mzdvxh//+EfExMRg5MiRd6y1sbHBiBEj5H/R3Q0d7V8dCwsLjBkzRm57d/kMO9q/0tJSREZGNvpXaFO64vPriJ70PeyI7v4dNJXu+h00hZ7yPayqqsKCBQtw8eJFxMbG3vFoENA130EGIRPz8vKCWq1GbGysvK6yshLx8fGYMGFCs8/z9/c3eg4AxMTEyM9RKpXw8/NrVBMbG3vH/XaG9vYRAN577z3893//N6Kjo/Hggw+2+FoVFRU4ffo0XF1dO9zu1upI/+oTQkCr1cpt7y6fYUf7989//hMVFRX4r//6rxZru+Lz64ie9D1sr57wHTSV7vodNIWe8D2sC0Hnz5/HgQMHMGDAgBaf0yXfwXZNsTZzN2/eFGlpaSItLU0AEB988IFIS0uTZ8Jv2rRJSJIkdu3aJdLT08Xjjz8uXF1dRVFRkbyP0NBQoxnuP//8s7C0tBSbNm0Sp0+fFps2bRJ9+vQRycnJck1kZKSwsrISX3zxhTh16pRYvXq1sLGxEZcuXeoRffzTn/4klEql+Ne//iVyc3Pl5ebNm3LN2rVrRVxcnPj1119FcnKyCA4OFra2tibvY2f0b8OGDSI6OlpcuHBBpKWliaeeekr06dNHpKSkyDV36zPsjP7VmTRpkli4cGGTr3u3Pr/W9DE/P1+kpaWJffv2CQAiMjJSpKWlidzc3Gb72J2+h53Rv570HWxP/7rTd7Cz+linO3wP79S/qqoqMW/ePOHu7i60Wq3R/28VFRXN9q8rvoMMQu1w6NAhAaDR8uSTTwohak9PXr9+vVCr1UKlUokpU6aI9PR0o30EBATI9XX+7//+T3h7ewsrKysxZMgQsXPnzkav/de//lUMGjRIKJVK8Zvf/EbEx8f3mD4OGjSoyX2uX79erlm4cKFwdXUVVlZWQqPRiEcffVScPHmyR/Rv9erV4p577hFKpVIMHDhQBAYGisTExEavfTc+w876f/Ts2bMCgIiJiWnyde/W5ydEy33ctm1bi/+/defvYWf0ryd9B9vTv+70HeysPgrRfb6Hd+pf3SUBmloOHTp0x/7d7e+gQgghWj5uRERERNT7cI4QERERmS0GISIiIjJbDEJERERkthiEiIiIyGwxCBEREZHZYhAiIiIis8UgRERERGaLQYiIiIjMFoMQEVE7bNiwAb6+vl3dDCLqIAYhIqIWKBQKREVFdXUziKgTMAgRERGR2WIQIqIeY+rUqYiIiMDq1avh4OAAFxcXfP755ygpKcFTTz0FW1tb3Hffffjhhx/k58THx2Ps2LFQqVRwdXXFK6+8gurqaqN9rlq1Cr///e/h6OgItVqNDRs2yNs9PT0BAI888ggUCoX8uM7XX38NT09PSJKERYsW4ebNm535FhCRiTEIEVGP8tVXX8HJyQlHjhxBREQEli9fjt/+9reYMGECjh07hqCgIISGhqK0tBTZ2dl4+OGHMWbMGBw/fhyffPIJvvjiC7z99tuN9mljY4OUlBS8++67eOuttxAbGwsAOHr0KABg27ZtyM3NlR8DwIULFxAVFYXvv/8e33//PeLj47Fp06a792YQUYfx7vNE1GNMnToVNTU1+OmnnwAANTU1kCQJjz76KP7+978DAPLy8uDq6oqkpCR899132LlzJ06fPg2FQgEA2Lp1K15++WXo9XpYWFg02icAjB07FtOnT5dDjUKhwO7duxESEiLXbNiwAe+99x7y8vJga2sLAPj973+Pw4cPIzk5+W68HURkAjwiREQ9ysiRI+U/W1paYsCAARgxYoS8zsXFBQCg0+lw+vRp+Pv7yyEIACZOnIji4mJkZWU1uU8AcHV1hU6na7Etnp6ecghqy/OIqPtgECKiHsXKysrosUKhMFpXF3oMBgOEEEYhCADqDoLXX9/UPg0GQ7va0prnEVH3wSBERL3WsGHDkJiYiPozABITE2Fraws3N7dW78fKygo1NTWd0UQi6mIMQkTUa61YsQJXrlxBREQEzpw5gz179mD9+vVYs2YNLCxa/9efp6cnfvzxR+Tl5aGgoKATW0xEdxuDEBH1Wm5ubti/fz+OHDmCUaNGYdmyZXjmmWfw2muvtWk/77//PmJjY+Hh4YHRo0d3UmuJqCvwrDEiIiIyWzwiRERERGaLQYiIiIjMFoMQERERmS0GISIiIjJbDEJERERkthiEiIiIyGwxCBEREZHZYhAiIiIis8UgRERERGaLQYiIiIjMFoMQERERma3/D4zUed4a3OYEAAAAAElFTkSuQmCC", + "image/png": 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", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -1891,113 +2059,121 @@ } ], "source": [ - "combined_df.columns = ['month','actual_post_policy','predicted_without_policy']\n", - "combined_df = combined_df.sort_values(by=['month']).set_index('month')\n", - "combined_df.plot(kind='line')" + "combined_df['year_month'] = pd.to_datetime(combined_df['year_month'], format='%Y-%m')\n", + "\n", + "# Filter the DataFrame to exclude the year 2020\n", + "df_2018_2019 = combined_df[(combined_df['year_month'].dt.year >= 2018) & (combined_df['year_month'].dt.year <= 2019)]\n", + "df_2021 = combined_df[combined_df['year_month'].dt.year == 2021]\n", + "\n", + "# Plot for 2018-2019\n", + "plt.figure(figsize=(12, 6))\n", + "sns.lineplot(x='year_month', y='sum(area_sums)', data=df_2018_2019, marker='o', label='Actual Pre-Policy')\n", + "sns.lineplot(x='year_month', y='sum(prediction)', data=df_2018_2019, dashes=True, label='Predicted Pre-Policy')\n", + "plt.title('Actual vs Predicted Pre-Policy Daily Rides (2018-2019)')\n", + "plt.xlabel('Year-Month')\n", + "plt.ylabel('Daily rides in program area')\n", + "plt.gca().xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m'))\n", + "plt.xticks(rotation=90)\n", + "plt.legend()\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Plot for 2021\n", + "plt.figure(figsize=(12, 6))\n", + "sns.lineplot(x='year_month', y='sum(area_sums)', data=df_2021, marker='o', label='Actual Pre-Policy')\n", + "sns.lineplot(x='year_month', y='sum(prediction)', data=df_2021, dashes=True, label='Predicted Pre-Policy')\n", + "plt.title('Actual vs Predicted Pre-Policy Daily Rides (2021)')\n", + "plt.xlabel('Year-Month')\n", + "plt.ylabel('Daily rides in program area')\n", + "plt.gca().xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m'))\n", + "plt.xticks(rotation=90)\n", + "plt.legend()\n", + "plt.tight_layout()\n", + "plt.show()" ] }, { - "cell_type": "markdown", - "id": "f911d2a0-a7d4-4ebd-8bdf-f40b7d50ca7f", + "cell_type": "code", + "execution_count": 109, + "id": "0cbf3260-bb29-406d-80da-894a3aa0ca55", "metadata": {}, + "outputs": [], "source": [ - "Next is the second policy change to 7 rides of 10 dollars in 2022" + "# joining different datasets together\n", + "final_dataset = df_2021 \n" ] }, { - "cell_type": "code", - "execution_count": 50, - "id": "c1994d2c-ca99-4b65-91c6-57fbeee7f2a4", + "cell_type": "markdown", + "id": "685b3a94-eede-4b4f-94fc-a1b762aed181", "metadata": {}, - "outputs": [], "source": [ - "# adding the handleInvalid = 'skip' allows this to run- double check what it is doing\n", - "vectorAssembler = VectorAssembler(inputCols=input_features,\n", - " outputCol=\"features\", handleInvalid='skip')\n", - "\n", - "# splitting first and then doing vector assembly to avoid errors\n", - "train_df, test_df = df_2.randomSplit([.7,.3],seed=1234)\n", + "#### Program starts- assessing initial Impact\n", "\n", - "# originally harsh had the vector assembler transforming merged_df which I think was a mistake\n", - "train_df = vectorAssembler.transform(train_df)\n", - "test_df = vectorAssembler.transform(test_df)" + "Using the trained model for predicting count of rides in program area if program had not started for the period of Oct 2021- Dec 2021 when in program rides were only on weekends. " ] }, { "cell_type": "code", - "execution_count": 51, - "id": "303cf0e0-f2af-4a84-bdf4-98ec84046c1e", + "execution_count": 110, + "id": "8fecbaee-05af-4446-8809-89207ec651c4", "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - " ]\r" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Coefficients: [-217.34093676028456,1578.480812555171,0.5537942505135528,0.062080882287470274,0.03118791057209453,0.0746681159031738,0.036376208836090634,-0.0013722080654734968,0.0031201423180575566,-0.0014115479528669977,-0.49732250406216444,-0.13616525364015059,0.410592256809017,-0.9702291764676397,1.6554338324869962,0.13647510986857794,0.14239425694967234,0.07276673041681377,0.07688233314150066,0.5481713121277239,0.07727026195361791,0.2571312316898789,0.07029743643850779,0.014518759690937135,0.07243090130519246,0.0026475035032199976,0.07445054051041215,0.33409007019994763,0.21356579199400424,0.010553094784998544,-0.016908040264507998,0.13391110120468358,0.07456021110309917,-0.0035608334233764786,-0.006186040779805305,-0.03033246856426237,-0.5088825212553649,-1.8384196499638998,1.3896041569375672,-0.0,0.31416388620658353,0.13970873112685042,0.16015505985305448,-0.11223977048607371,0.3920010021748861,1.2457638390022423,-0.08761068454762237,0.19243817040700043,0.3077046392950376,0.5080466928030754,-2.239813504731119,0.4562449568458568,2.6740159264962187,2.906894795490214,0.033187424583189684,0.1370322863937649,0.11931712236367185,0.2349254828878703,0.01025824491620768,-0.03861836327340833,-0.7297678258284158,-0.08977684132400188,-0.45683460927084374,-0.23191212747963358,0.056968009822920405,0.2599042680686446,0.2713364919932726,0.16094930470813487,0.25920263791400067,0.14672061954464297,-1.4421085407069856,0.02171346269475358,0.18846555266464746,0.3915217762275989,0.027417483220527512,0.05709267632223363,-41.2056332525515,5571.518111892086,18.525326365068025,1357.3950332795182,1.9281593434528261]\n", - "Intercept: -3192679.1584404353\n", - "RMSE: 5061.244492\n", - "r2: 0.853017\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - " \r" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ - "+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+---------+-----------------+\n", - "|features |area_sums|prediction |\n", - "+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+---------+-----------------+\n", - "|[10.0,2021.0,12199.0,9107.0,24884.0,10934.0,12710.0,62904.0,55515.0,180042.0,674.0,3314.0,3259.0,1323.0,3077.0,7226.0,7209.0,10819.0,2898.0,1116.0,8828.0,3030.0,11178.0,34577.0,10307.0,59723.0,14084.0,3590.0,5678.0,99556.0,8672.0,7147.0,12736.0,104048.0,24877.0,3684.0,7049.0,1553.0,824.0,6866.0,3602.0,10986.0,8677.0,1848.0,3884.0,560.0,2047.0,6449.0,2113.0,2097.0,622.0,2949.0,898.0,326.0,15899.0,2444.0,4881.0,2795.0,5363.0,6014.0,1560.0,3048.0,1163.0,2742.0,5662.0,4618.0,5772.0,7720.0,3439.0,7108.0,1518.0,3534.0,550.0,2453.0,47198.0,16199.0,66.6,0.0,0.0,0.0,1824.0] |35049 |36155.24312346475|\n", - "|[5.0,2022.0,17302.0,10504.0,41467.0,17711.0,21337.0,149196.0,115617.0,325139.0,1709.0,4991.0,4437.0,2222.0,3102.0,10479.0,10187.0,17046.0,3773.0,1500.0,11274.0,4011.0,18070.0,66516.0,12716.0,112921.0,16796.0,4269.0,6324.0,135076.0,8657.0,8241.0,24360.0,141404.0,49033.0,12462.0,9371.0,1822.0,1172.0,8271.0,5041.0,12605.0,9392.0,1964.0,4288.0,572.0,2034.0,6706.0,1676.0,2233.0,677.0,3726.0,979.0,344.0,13677.0,2385.0,5182.0,3188.0,8379.0,6498.0,1899.0,3368.0,1688.0,3483.0,6736.0,5235.0,6157.0,8949.0,3413.0,8445.0,2252.0,3985.0,932.0,2861.0,38306.0,24753.0,55.9,0.0,0.0,0.0,1955.0] |54875 |47005.3645400377 |\n", - "|[12.0,2021.0,15334.0,11839.0,30581.0,14637.0,15938.0,84279.0,72666.0,232096.0,1016.0,4185.0,4262.0,1698.0,3693.0,9655.0,9731.0,14002.0,3570.0,1432.0,11428.0,4051.0,14444.0,44767.0,13778.0,75868.0,19517.0,4816.0,7073.0,118158.0,11234.0,9203.0,17681.0,126362.0,27419.0,5278.0,9174.0,2017.0,1188.0,9343.0,4944.0,14861.0,11699.0,2349.0,5020.0,848.0,2660.0,8718.0,2824.0,2832.0,644.0,4265.0,1237.0,468.0,17543.0,3150.0,6327.0,3647.0,6606.0,7771.0,2008.0,4083.0,1536.0,3817.0,7780.0,6562.0,8032.0,10688.0,4158.0,10085.0,1988.0,4732.0,744.0,3144.0,54636.0,21202.0,38.5,0.193,0.0,0.0,1619.0]|44651 |50539.29755615583|\n", - "|[12.0,2021.0,11030.0,8798.0,22502.0,9729.0,10909.0,54911.0,44628.0,150773.0,636.0,2999.0,3138.0,1292.0,2647.0,7134.0,7151.0,10014.0,2514.0,999.0,8570.0,2931.0,10060.0,28673.0,9890.0,47390.0,13852.0,3306.0,4965.0,79970.0,8147.0,7049.0,11133.0,90970.0,19143.0,3575.0,6627.0,1462.0,813.0,6489.0,3470.0,10615.0,8189.0,1696.0,3625.0,563.0,1850.0,6121.0,1968.0,1994.0,542.0,2914.0,839.0,348.0,11601.0,2223.0,4611.0,2586.0,4799.0,5586.0,1512.0,3023.0,1181.0,2954.0,5735.0,4590.0,5690.0,7401.0,2985.0,7117.0,1370.0,3270.0,473.0,2189.0,35940.0,14810.0,45.1,0.0,0.0,0.0,1619.0] |30397 |32994.72140055988|\n", - "|[11.0,2022.0,12706.0,9878.0,22455.0,11161.0,11416.0,56014.0,43704.0,152851.0,725.0,3513.0,3279.0,1489.0,3409.0,8088.0,7912.0,11317.0,3309.0,1401.0,9693.0,3514.0,11212.0,31451.0,11453.0,48328.0,15547.0,3836.0,6123.0,95624.0,9961.0,8231.0,13713.0,103379.0,29815.0,4813.0,8222.0,1874.0,981.0,7902.0,4159.0,13198.0,10010.0,1921.0,4570.0,853.0,2244.0,7891.0,2716.0,2833.0,686.0,3649.0,1160.0,419.0,21663.0,2670.0,5213.0,2846.0,5413.0,6384.0,1742.0,3472.0,1429.0,3113.0,6546.0,5476.0,7342.0,9143.0,3745.0,8607.0,1675.0,4305.0,666.0,3018.0,60583.0,16149.0,59.9,0.0,0.0,0.0,1743.0] |48964 |43063.5390418279 |\n", - "+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+---------+-----------------+\n", - "only showing top 5 rows\n", + "+-----+----+-----+-----+-----+-----+-----+------+------+------+----+----+----+----+----+-----+-----+-----+----+----+-----+----+-----+-----+-----+------+-----+----+----+------+----+----+-----+------+-----+-----+----+----+----+----+----+-----+-----+----+----+---+----+----+----+----+---+----+----+---+-----+----+----+----+----+----+----+----+----+----+----+----+----+----+----+----+----+----+---+----+-----+-----+---------+----+------+----+---------+------+--------------------+------------------+\n", + "|month|year| 1| 2| 3| 4| 5| 6| 7| 8| 9| 10| 11| 12| 13| 14| 15| 16| 17| 18| 19| 20| 21| 22| 23| 24| 25| 26| 27| 28| 29| 30| 31| 32| 33| 34| 35| 36| 37| 38| 40| 43| 44| 45| 46| 47| 48| 49| 50| 51| 52| 53| 54| 55| 56| 57| 58| 59| 60| 61| 62| 63| 64| 65| 66| 67| 68| 69| 70| 71| 72| 73| 74| 75| 76| 77|area_sums|temp|precip|snow|snowdepth|sunset| features| prediction|\n", + "+-----+----+-----+-----+-----+-----+-----+------+------+------+----+----+----+----+----+-----+-----+-----+----+----+-----+----+-----+-----+-----+------+-----+----+----+------+----+----+-----+------+-----+-----+----+----+----+----+----+-----+-----+----+----+---+----+----+----+----+---+----+----+---+-----+----+----+----+----+----+----+----+----+----+----+----+----+----+----+----+----+----+---+----+-----+-----+---------+----+------+----+---------+------+--------------------+------------------+\n", + "| 10|2021|21509|12594|48695|21907|26742|181400|148061|415628|1743|5526|5094|2380|3538|12512|11743|19057|4262|1510|12471|4463|21272|81001|14405|152551|18170|4720|6931|172852|9447|9429|26324|160188|50419|11257|9288|2039|1109|8899|4652|13903|10586|1950|4766|671|2280|7651|2291|2283|737|3648|1028|423|13507|2671|6013|3917|9364|7225|2137|4146|1739|4101|7443|5723|6493|9414|3769|8805|2216|4261|958|3199|38242|30834| 54264|68.9| 0.483| 0.0| 0.0| 1821|[10.0,2021.0,2150...| 38974.35118074482|\n", + "| 11|2021|13303| 8395|28113|11644|13194| 92033| 66378|199483|1149|3613|3246|1488|2366| 8071| 7243|11571|2521|1004| 8151|2891|12715|41766| 9589| 68719|12257|3070|4350| 87701|6175|5995|14830| 88191|27226| 5414|5787|1357| 707|5792|3054| 9727| 6829|1222|3108|397|1429|4835|1534|1474|469|2458| 746|285|16331|1673|3780|2345|5188|4594|1321|2824|1178|2406|4714|4063|4586|6621|2254|5829|1365|2692|778|2055|48696|18708| 34078|41.5| 0.0| 0.0| 0.0| 1744|[11.0,2021.0,1330...|23039.636769989273|\n", + "+-----+----+-----+-----+-----+-----+-----+------+------+------+----+----+----+----+----+-----+-----+-----+----+----+-----+----+-----+-----+-----+------+-----+----+----+------+----+----+-----+------+-----+-----+----+----+----+----+----+-----+-----+----+----+---+----+----+----+----+---+----+----+---+-----+----+----+----+----+----+----+----+----+----+----+----+----+----+----+----+----+----+---+----+-----+-----+---------+----+------+----+---------+------+--------------------+------------------+\n", + "only showing top 2 rows\n", + "\n", + "+-----+----+-----+-----+-----+-----+-----+------+------+------+----+----+----+----+----+-----+-----+-----+----+----+-----+----+-----+-----+-----+------+-----+----+----+------+----+----+-----+------+-----+-----+----+----+----+----+----+-----+-----+----+----+---+----+----+----+----+---+----+----+---+-----+----+----+----+----+----+----+----+----+----+----+----+----+----+----+----+----+----+---+----+-----+-----+---------+----+------+----+---------+------+\n", + "|month|year| 1| 2| 3| 4| 5| 6| 7| 8| 9| 10| 11| 12| 13| 14| 15| 16| 17| 18| 19| 20| 21| 22| 23| 24| 25| 26| 27| 28| 29| 30| 31| 32| 33| 34| 35| 36| 37| 38| 40| 43| 44| 45| 46| 47| 48| 49| 50| 51| 52| 53| 54| 55| 56| 57| 58| 59| 60| 61| 62| 63| 64| 65| 66| 67| 68| 69| 70| 71| 72| 73| 74| 75| 76| 77|area_sums|temp|precip|snow|snowdepth|sunset|\n", + "+-----+----+-----+-----+-----+-----+-----+------+------+------+----+----+----+----+----+-----+-----+-----+----+----+-----+----+-----+-----+-----+------+-----+----+----+------+----+----+-----+------+-----+-----+----+----+----+----+----+-----+-----+----+----+---+----+----+----+----+---+----+----+---+-----+----+----+----+----+----+----+----+----+----+----+----+----+----+----+----+----+----+---+----+-----+-----+---------+----+------+----+---------+------+\n", + "| 10|2021|21509|12594|48695|21907|26742|181400|148061|415628|1743|5526|5094|2380|3538|12512|11743|19057|4262|1510|12471|4463|21272|81001|14405|152551|18170|4720|6931|172852|9447|9429|26324|160188|50419|11257|9288|2039|1109|8899|4652|13903|10586|1950|4766|671|2280|7651|2291|2283|737|3648|1028|423|13507|2671|6013|3917|9364|7225|2137|4146|1739|4101|7443|5723|6493|9414|3769|8805|2216|4261|958|3199|38242|30834| 54264|68.9| 0.483| 0.0| 0.0| 1821|\n", + "| 11|2021|13303| 8395|28113|11644|13194| 92033| 66378|199483|1149|3613|3246|1488|2366| 8071| 7243|11571|2521|1004| 8151|2891|12715|41766| 9589| 68719|12257|3070|4350| 87701|6175|5995|14830| 88191|27226| 5414|5787|1357| 707|5792|3054| 9727| 6829|1222|3108|397|1429|4835|1534|1474|469|2458| 746|285|16331|1673|3780|2345|5188|4594|1321|2824|1178|2406|4714|4063|4586|6621|2254|5829|1365|2692|778|2055|48696|18708| 34078|41.5| 0.0| 0.0| 0.0| 1744|\n", + "+-----+----+-----+-----+-----+-----+-----+------+------+------+----+----+----+----+----+-----+-----+-----+----+----+-----+----+-----+-----+-----+------+-----+----+----+------+----+----+-----+------+-----+-----+----+----+----+----+----+-----+-----+----+----+---+----+----+----+----+---+----+----+---+-----+----+----+----+----+----+----+----+----+----+----+----+----+----+----+----+----+----+---+----+-----+-----+---------+----+------+----+---------+------+\n", + "only showing top 2 rows\n", "\n" ] } ], "source": [ - "train_df = train_df.na.drop() # Remove rows with null values\n", - "\n", - "# Train Model\n", - "from pyspark.ml.regression import LinearRegression\n", - "\n", - "#Elastic Net\n", - "lr = LinearRegression(featuresCol = 'features', labelCol='area_sums', regParam=0.3, elasticNetParam=0.8, maxIter=10)\n", - "lrm = lr.fit(train_df)\n", + "# dataframe that is the true counts\n", + "# only Oct, Nov, Dec of 2021. \n", + "df_real = df_2.filter(df_2.year == 2021)\n", "\n", - "#coefficients\n", - "print(\"Coefficients: \" + str(lrm.coefficients))\n", - "print(\"Intercept: \" + str(lrm.intercept))\n", + "# take the real data and create predictions to compare\n", + "df_real_vector = vectorAssembler.transform(df_real)\n", + "df_first_predictions = lrm.transform(df_real_vector)\n", "\n", - "#model summary\n", - "print(\"RMSE: %f\" % lrm.summary.rootMeanSquaredError)\n", - "print(\"r2: %f\" % lrm.summary.r2)\n", + "df_first_predictions.show(2)\n", + "df_real.show(2)" + ] + }, + { + "cell_type": "code", + "execution_count": 117, + "id": "0c752d74-61ab-4c16-a1f6-62a5eebd3963", + "metadata": {}, + "outputs": [], + "source": [ + "monthly_real = df_real.withColumn(\"year_month\", F.concat_ws(\"-\", df_real.year, df_real.month))\n", + "df_first_predictions = df_first_predictions.withColumn(\"year_month\", F.concat_ws(\"-\", df_first_predictions.year, df_first_predictions.month))\n", "\n", - "# Run the classifier on the test set\n", - "predictions = lrm.transform(test_df)\n", - "predictions.select('features','area_sums','prediction').show(5,truncate=False)" + "#monthly_real.select('year_month').distinct().show(30)\n", + "monthly_real = monthly_real.groupBy('year_month').sum('area_sums')\n", + "monthly_first_preds = df_first_predictions.groupby('year_month').sum('prediction')" ] }, { "cell_type": "code", - "execution_count": 52, - "id": "4a85f573-488a-40f1-b502-642a52298c99", + "execution_count": 118, + "id": "8dacd81e-05ea-4243-8370-b6b6b56fd75a", "metadata": {}, "outputs": [ { @@ -2008,16 +2184,987 @@ ] }, { - "name": "stdout", - "output_type": "stream", - "text": 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22021-12258103207578.423603
\n", + "
" + ], + "text/plain": [ + " year_month sum(area_sums) sum(prediction)\n", + "0 2021-11 275975 201316.311757\n", + "1 2021-10 265236 210299.350589\n", + "2 2021-12 258103 207578.423603" + ] + }, + "execution_count": 118, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "monthly_real_pd = monthly_real.toPandas()\n", + "monthly_first_preds_pd = monthly_first_preds.toPandas()\n", + "combined_df = monthly_real_pd.merge(monthly_first_preds_pd, left_on='year_month', right_on='year_month', how='inner')\n", + "combined_df" + ] + }, + { + "cell_type": "markdown", + "id": "83660511-34ff-4c88-83bc-40ed43c5ceb7", + "metadata": {}, + "source": [ + "Add stuff to make this graph much prettier- title, axis's etc. " + ] + }, + { + "cell_type": "code", + "execution_count": 119, + "id": "cd3da028-b75d-4145-ac69-3caa69704db7", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "combined_df['year_month'] = pd.to_datetime(combined_df['year_month'], format='%Y-%m')\n", + "\n", + "# Plot for 2021\n", + "plt.figure(figsize=(12, 6))\n", + "sns.lineplot(x='year_month', y='sum(area_sums)', data=combined_df, marker='o', label='Actual Post-Policy')\n", + "sns.lineplot(x='year_month', y='sum(prediction)', data=combined_df, dashes=True, label='Predicted Post-Policy')\n", + "plt.title('Actual vs Predicted Post-Policy Daily Rides (2021)')\n", + "plt.xlabel('Year-Month')\n", + "plt.ylabel('Daily rides in program area')\n", + "plt.gca().xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m'))\n", + "plt.xticks(rotation=90)\n", + "plt.legend()\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 122, + "id": "7ad53625-0ac8-4b5f-9fd5-515e7c5d688e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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year_monthsum(area_sums)sum(prediction)
02021-03-01178045193006.695556
12021-04-01176680178816.816038
22021-05-01183403177115.769091
32021-09-01193462182082.974058
42021-08-01163498158309.023479
52021-06-01181285165413.667248
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72021-07-01172026172070.713297
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92021-11-01275975201316.311757
102021-10-01265236210299.350589
112021-12-01258103207578.423603
122021-11-01275975201316.311757
132021-10-01265236210299.350589
142021-12-01258103207578.423603
\n", + "
" + ], + "text/plain": [ + " year_month sum(area_sums) sum(prediction)\n", + "0 2021-03-01 178045 193006.695556\n", + "1 2021-04-01 176680 178816.816038\n", + "2 2021-05-01 183403 177115.769091\n", + "3 2021-09-01 193462 182082.974058\n", + "4 2021-08-01 163498 158309.023479\n", + "5 2021-06-01 181285 165413.667248\n", + "6 2021-02-01 156257 158592.509085\n", + "7 2021-07-01 172026 172070.713297\n", + "8 2021-01-01 177280 179217.039411\n", + "9 2021-11-01 275975 201316.311757\n", + "10 2021-10-01 265236 210299.350589\n", + "11 2021-12-01 258103 207578.423603\n", + "12 2021-11-01 275975 201316.311757\n", + "13 2021-10-01 265236 210299.350589\n", + "14 2021-12-01 258103 207578.423603" + ] + }, + "execution_count": 122, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "final_dataset = pd.concat([final_dataset, combined_df], ignore_index=True)\n", + "final_dataset" + ] + }, + { + "cell_type": "markdown", + "id": "fb93c332-190e-42fb-bc05-cffb78f0a455", + "metadata": {}, + "source": [ + "#### Impact of policy expansion:to all days (5pm-4am), 10 rides a month\n", + "\n", + "Use the same model (of pre-program rides) to predict for the entirety of df2 (between Oct 2021- June 2023) when the policy was expanded. " + ] + }, + { + "cell_type": "code", + "execution_count": 123, + "id": "df0ac0c2-03c0-4296-b913-6781fdba946a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "+-----+----+-----+-----+-----+-----+-----+-----+-----+------+---+----+----+----+----+----+----+-----+----+----+-----+----+-----+-----+-----+-----+-----+----+----+------+-----+----+-----+------+-----+----+----+----+----+----+----+-----+-----+----+----+---+----+----+----+----+---+----+----+---+-----+----+----+----+----+----+----+----+----+----+----+----+----+-----+----+-----+----+----+---+----+-----+-----+---------+----+------+----+---------+------+--------------------+------------------+\n", + "|month|year| 1| 2| 3| 4| 5| 6| 7| 8| 9| 10| 11| 12| 13| 14| 15| 16| 17| 18| 19| 20| 21| 22| 23| 24| 25| 26| 27| 28| 29| 30| 31| 32| 33| 34| 35| 36| 37| 38| 40| 43| 44| 45| 46| 47| 48| 49| 50| 51| 52| 53| 54| 55| 56| 57| 58| 59| 60| 61| 62| 63| 64| 65| 66| 67| 68| 69| 70| 71| 72| 73| 74| 75| 76| 77|area_sums|temp|precip|snow|snowdepth|sunset| features| prediction|\n", + "+-----+----+-----+-----+-----+-----+-----+-----+-----+------+---+----+----+----+----+----+----+-----+----+----+-----+----+-----+-----+-----+-----+-----+----+----+------+-----+----+-----+------+-----+----+----+----+----+----+----+-----+-----+----+----+---+----+----+----+----+---+----+----+---+-----+----+----+----+----+----+----+----+----+----+----+----+----+-----+----+-----+----+----+---+----+-----+-----+---------+----+------+----+---------+------+--------------------+------------------+\n", + "| 6|2023|13269|10762|27012|13889|13854|78625|59169|218863|903|3944|3861|1902|3214|8622|8552|12716|3441|1474|10175|3706|12489|38430|12245|63626|18512|4684|7302|128708|11464|8604|13839|146555|42171|6911|9581|2128|1259|9161|5271|14640|11170|2313|5170|971|2714|9084|3022|2995|800|4383|1326|536|21202|2955|5248|3254|6489|7274|1793|3738|1704|3260|7394|6669|8175|10885|4274|10874|2110|5162|719|3616|59391|18202| 41533|70.9| 0.0| 0.0| 0.0| 2021|[6.0,2023.0,13269...| 35531.93121489859|\n", + "| 1|2022|11893| 9661|22646|11116|11805|63492|52275|146428|678|3225|2966|1201|3003|7803|7971|11069|3062|1176| 9408|3341|11137|33134|11780|55447|16303|3974|5958| 89606|10078|7868|12262| 81189|16779|3382|7738|1640|1010|7685|4228|12634| 9867|2100|4501|684|2124|7370|2379|2413|635|3497|1123|429| 9887|2544|5007|2860|5234|6441|1594|3343|1349|2951|6427|5262|7174| 8987|3411| 8288|1625|4106|622|2666|30481|16017| 36209|19.7| 0.0| 0.0| 1.1| 1633|[1.0,2022.0,11893...|28938.437764938688|\n", + "+-----+----+-----+-----+-----+-----+-----+-----+-----+------+---+----+----+----+----+----+----+-----+----+----+-----+----+-----+-----+-----+-----+-----+----+----+------+-----+----+-----+------+-----+----+----+----+----+----+----+-----+-----+----+----+---+----+----+----+----+---+----+----+---+-----+----+----+----+----+----+----+----+----+----+----+----+----+-----+----+-----+----+----+---+----+-----+-----+---------+----+------+----+---------+------+--------------------+------------------+\n", + "only showing top 2 rows\n", + "\n", + "+-----+----+-----+-----+-----+-----+-----+-----+-----+------+---+----+----+----+----+----+----+-----+----+----+-----+----+-----+-----+-----+-----+-----+----+----+------+-----+----+-----+------+-----+----+----+----+----+----+----+-----+-----+----+----+---+----+----+----+----+---+----+----+---+-----+----+----+----+----+----+----+----+----+----+----+----+----+-----+----+-----+----+----+---+----+-----+-----+---------+----+------+----+---------+------+\n", + "|month|year| 1| 2| 3| 4| 5| 6| 7| 8| 9| 10| 11| 12| 13| 14| 15| 16| 17| 18| 19| 20| 21| 22| 23| 24| 25| 26| 27| 28| 29| 30| 31| 32| 33| 34| 35| 36| 37| 38| 40| 43| 44| 45| 46| 47| 48| 49| 50| 51| 52| 53| 54| 55| 56| 57| 58| 59| 60| 61| 62| 63| 64| 65| 66| 67| 68| 69| 70| 71| 72| 73| 74| 75| 76| 77|area_sums|temp|precip|snow|snowdepth|sunset|\n", + "+-----+----+-----+-----+-----+-----+-----+-----+-----+------+---+----+----+----+----+----+----+-----+----+----+-----+----+-----+-----+-----+-----+-----+----+----+------+-----+----+-----+------+-----+----+----+----+----+----+----+-----+-----+----+----+---+----+----+----+----+---+----+----+---+-----+----+----+----+----+----+----+----+----+----+----+----+----+-----+----+-----+----+----+---+----+-----+-----+---------+----+------+----+---------+------+\n", + "| 6|2023|13269|10762|27012|13889|13854|78625|59169|218863|903|3944|3861|1902|3214|8622|8552|12716|3441|1474|10175|3706|12489|38430|12245|63626|18512|4684|7302|128708|11464|8604|13839|146555|42171|6911|9581|2128|1259|9161|5271|14640|11170|2313|5170|971|2714|9084|3022|2995|800|4383|1326|536|21202|2955|5248|3254|6489|7274|1793|3738|1704|3260|7394|6669|8175|10885|4274|10874|2110|5162|719|3616|59391|18202| 41533|70.9| 0.0| 0.0| 0.0| 2021|\n", + "| 1|2022|11893| 9661|22646|11116|11805|63492|52275|146428|678|3225|2966|1201|3003|7803|7971|11069|3062|1176| 9408|3341|11137|33134|11780|55447|16303|3974|5958| 89606|10078|7868|12262| 81189|16779|3382|7738|1640|1010|7685|4228|12634| 9867|2100|4501|684|2124|7370|2379|2413|635|3497|1123|429| 9887|2544|5007|2860|5234|6441|1594|3343|1349|2951|6427|5262|7174| 8987|3411| 8288|1625|4106|622|2666|30481|16017| 36209|19.7| 0.0| 0.0| 1.1| 1633|\n", + "+-----+----+-----+-----+-----+-----+-----+-----+-----+------+---+----+----+----+----+----+----+-----+----+----+-----+----+-----+-----+-----+-----+-----+----+----+------+-----+----+-----+------+-----+----+----+----+----+----+----+-----+-----+----+----+---+----+----+----+----+---+----+----+---+-----+----+----+----+----+----+----+----+----+----+----+----+----+-----+----+-----+----+----+---+----+-----+-----+---------+----+------+----+---------+------+\n", + "only showing top 2 rows\n", + "\n" + ] + } + ], + "source": [ + "# load pre-program model\n", + "from pyspark.ml.regression import LinearRegressionModel\n", + "from pyspark.ml.feature import VectorAssembler\n", + "\n", + "# Path to saved model on GCS\n", + "model_path = \"gs://msca-bdp-student-gcs/bdp-rideshare-project/models/pre_program_model\"\n", + "\n", + "# Load the Linear Regression Model\n", + "lrm = LinearRegressionModel.load(model_path)\n", + "\n", + "# filter to get entirety of time when program was expanded\n", + "# dataframe that is the true counts\n", + "# time period after 2021\n", + "df_real = df_2.filter(df_2.year != 2021)\n", + "\n", + "# input features are everything but the area_sums column which is what we are trying to predict\n", + "input_features = ['month','year','1','2','3','4','5','6','7','8', '9', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20','21','22','23','24','25',\n", + " '26','27','28','29','30','31','32','33','34','35','36','37','38','40','43','44','45','46','47','48','49','50','51','52','53','54','55','56','57','58','59','60','61','62','63','64','65','66',\n", + " '67','68','69','70','71','72','73','74','75','76','77','temp','precip','snow','snowdepth','sunset']\n", + "\n", + "# adding the handleInvalid = 'skip' allows this to run- double check what it is doing\n", + "vectorAssembler = VectorAssembler(inputCols=input_features, outputCol=\"features\", handleInvalid='skip')\n", + "\n", + "# take the real data and create predictions to compare\n", + "df_real_vector = vectorAssembler.transform(df_real)\n", + "df_second_predictions = lrm.transform(df_real_vector)\n", + "\n", + "df_second_predictions.show(2)\n", + "df_real.show(2)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 124, + "id": "af5b8f79-3c4f-48fc-8cae-2e63aca5cefc", + "metadata": {}, + "outputs": [], + "source": [ + "# now group by month and sum counts and plot\n", + "\n", + "#df_real.withColumn(\"month\", F.format_string(\"%02d\", df_real.month.cast(\"int\")))\n", + "#df_real.select('month').show(5)\n", + "monthly_real = df_real.withColumn(\"year_month\", F.concat_ws(\"-\", df_real.year, df_real.month))\n", + "monthly_second_preds = df_second_predictions.withColumn(\"year_month\", F.concat_ws(\"-\", df_second_predictions.year, df_second_predictions.month))\n", + "\n", + "#monthly_real.select('year_month').distinct().show(30)\n", + "monthly_real = monthly_real.groupBy('year_month').sum('area_sums')\n", + "monthly_second_preds = monthly_second_preds.groupby('year_month').sum('prediction')" + ] + }, + { + "cell_type": "code", + "execution_count": 125, + "id": "8a419823-8529-4d2e-816c-03ed49fa7756", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + " \r" + ] + }, + { + "data": { + "text/html": [ + "
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year_monthsum(area_sums)sum(prediction)
02023-1461079263854.436567
12022-4365044229855.316322
22023-4463392280383.624732
32023-5469985291879.252644
42022-7273441238003.298985
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72022-10439440262934.652192
82022-9310420231850.364094
92022-1274172210230.981548
102023-6339336273999.704574
112022-3356928243639.120057
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132022-6294611226426.620388
142023-2453236256310.650196
152022-2328935197677.798013
162023-3463721302917.852905
172022-8263644221321.815883
\n", + "
" + ], + "text/plain": [ + " year_month sum(area_sums) sum(prediction)\n", + "0 2023-1 461079 263854.436567\n", + "1 2022-4 365044 229855.316322\n", + "2 2023-4 463392 280383.624732\n", + "3 2023-5 469985 291879.252644\n", + "4 2022-7 273441 238003.298985\n", + "5 2022-11 403456 243251.328962\n", + "6 2022-5 365878 237826.757514\n", + "7 2022-10 439440 262934.652192\n", + "8 2022-9 310420 231850.364094\n", + "9 2022-1 274172 210230.981548\n", + "10 2023-6 339336 273999.704574\n", + "11 2022-3 356928 243639.120057\n", + "12 2022-12 340977 256011.843615\n", + "13 2022-6 294611 226426.620388\n", + "14 2023-2 453236 256310.650196\n", + "15 2022-2 328935 197677.798013\n", + "16 2023-3 463721 302917.852905\n", + "17 2022-8 263644 221321.815883" + ] + }, + "execution_count": 125, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "monthly_real_pd = monthly_real.toPandas()\n", + "monthly_second_preds_pd = monthly_second_preds.toPandas()\n", + "combined_df = monthly_real_pd.merge(monthly_second_preds_pd, left_on='year_month', right_on='year_month', how='inner')\n", + "combined_df" + ] + }, + { + "cell_type": "code", + "execution_count": 126, + "id": "85ec2c3b-443d-44c7-9eb2-a6d68884eb38", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "combined_df['year_month'] = pd.to_datetime(combined_df['year_month'], format='%Y-%m')\n", + "\n", + "# Plot for 2018-2019\n", + "plt.figure(figsize=(12, 6))\n", + "sns.lineplot(x='year_month', y='sum(area_sums)', data=combined_df, marker='o', label='Actual Post-Policy Expansion')\n", + "sns.lineplot(x='year_month', y='sum(prediction)', data=combined_df, dashes=True, label='Predicted Post-Policy Expansion')\n", + "plt.title('Actual vs Predicted Post-Policy Expansion Daily Rides (2022-23)')\n", + "plt.xlabel('Year-Month')\n", + "plt.ylabel('Daily rides in program area')\n", + "plt.gca().xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m'))\n", + "plt.xticks(rotation=90)\n", + "plt.legend()\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 127, + "id": "3ee929ce-fba3-41c0-9e6d-92409b729fdd", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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year_monthsum(area_sums)sum(prediction)
02021-03-01178045193006.695556
12021-04-01176680178816.816038
22021-05-01183403177115.769091
32021-09-01193462182082.974058
42021-08-01163498158309.023479
52021-06-01181285165413.667248
62021-02-01156257158592.509085
72021-07-01172026172070.713297
82021-01-01177280179217.039411
92021-11-01275975201316.311757
102021-10-01265236210299.350589
112021-12-01258103207578.423603
122021-11-01275975201316.311757
132021-10-01265236210299.350589
142021-12-01258103207578.423603
152023-01-01461079263854.436567
162022-04-01365044229855.316322
172023-04-01463392280383.624732
182023-05-01469985291879.252644
192022-07-01273441238003.298985
202022-11-01403456243251.328962
212022-05-01365878237826.757514
222022-10-01439440262934.652192
232022-09-01310420231850.364094
242022-01-01274172210230.981548
252023-06-01339336273999.704574
262022-03-01356928243639.120057
272022-12-01340977256011.843615
282022-06-01294611226426.620388
292023-02-01453236256310.650196
302022-02-01328935197677.798013
312023-03-01463721302917.852905
322022-08-01263644221321.815883
\n", + "
" + ], + "text/plain": [ + " year_month sum(area_sums) sum(prediction)\n", + "0 2021-03-01 178045 193006.695556\n", + "1 2021-04-01 176680 178816.816038\n", + "2 2021-05-01 183403 177115.769091\n", + "3 2021-09-01 193462 182082.974058\n", + "4 2021-08-01 163498 158309.023479\n", + "5 2021-06-01 181285 165413.667248\n", + "6 2021-02-01 156257 158592.509085\n", + "7 2021-07-01 172026 172070.713297\n", + "8 2021-01-01 177280 179217.039411\n", + "9 2021-11-01 275975 201316.311757\n", + "10 2021-10-01 265236 210299.350589\n", + "11 2021-12-01 258103 207578.423603\n", + "12 2021-11-01 275975 201316.311757\n", + "13 2021-10-01 265236 210299.350589\n", + "14 2021-12-01 258103 207578.423603\n", + "15 2023-01-01 461079 263854.436567\n", + "16 2022-04-01 365044 229855.316322\n", + "17 2023-04-01 463392 280383.624732\n", + "18 2023-05-01 469985 291879.252644\n", + "19 2022-07-01 273441 238003.298985\n", + "20 2022-11-01 403456 243251.328962\n", + "21 2022-05-01 365878 237826.757514\n", + "22 2022-10-01 439440 262934.652192\n", + "23 2022-09-01 310420 231850.364094\n", + "24 2022-01-01 274172 210230.981548\n", + "25 2023-06-01 339336 273999.704574\n", + "26 2022-03-01 356928 243639.120057\n", + "27 2022-12-01 340977 256011.843615\n", + "28 2022-06-01 294611 226426.620388\n", + "29 2023-02-01 453236 256310.650196\n", + "30 2022-02-01 328935 197677.798013\n", + "31 2023-03-01 463721 302917.852905\n", + "32 2022-08-01 263644 221321.815883" + ] + }, + "execution_count": 127, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "final_dataset = pd.concat([final_dataset, combined_df], ignore_index=True)\n", + "final_dataset" + ] + }, + { + "cell_type": "markdown", + "id": "e4a84bc4-d9c8-4dec-a569-55799550c451", + "metadata": {}, + "source": [ + "### Program reduction - assessing impact\n", + "Predicting when policy changed to 7 rides days, 10 dollars a month. \n", + "\n", + "Creating another model based on in-program real data from df_2. " + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "id": "c1994d2c-ca99-4b65-91c6-57fbeee7f2a4", + "metadata": {}, + "outputs": [], + "source": [ + "# adding the handleInvalid = 'skip' allows this to run- double check what it is doing\n", + "vectorAssembler = VectorAssembler(inputCols=input_features,\n", + " outputCol=\"features\", handleInvalid='skip')\n", + "\n", + "# splitting first and then doing vector assembly to avoid errors\n", + "train_df, test_df = df_2.randomSplit([.7,.3],seed=1234)\n", + "\n", + "train_df = vectorAssembler.transform(train_df)\n", + "test_df = vectorAssembler.transform(test_df)" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "id": "303cf0e0-f2af-4a84-bdf4-98ec84046c1e", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + " ]\r" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Coefficients: [-217.34093676028456,1578.480812555171,0.5537942505135528,0.062080882287470274,0.03118791057209453,0.0746681159031738,0.036376208836090634,-0.0013722080654734968,0.0031201423180575566,-0.0014115479528669977,-0.49732250406216444,-0.13616525364015059,0.410592256809017,-0.9702291764676397,1.6554338324869962,0.13647510986857794,0.14239425694967234,0.07276673041681377,0.07688233314150066,0.5481713121277239,0.07727026195361791,0.2571312316898789,0.07029743643850779,0.014518759690937135,0.07243090130519246,0.0026475035032199976,0.07445054051041215,0.33409007019994763,0.21356579199400424,0.010553094784998544,-0.016908040264507998,0.13391110120468358,0.07456021110309917,-0.0035608334233764786,-0.006186040779805305,-0.03033246856426237,-0.5088825212553649,-1.8384196499638998,1.3896041569375672,-0.0,0.31416388620658353,0.13970873112685042,0.16015505985305448,-0.11223977048607371,0.3920010021748861,1.2457638390022423,-0.08761068454762237,0.19243817040700043,0.3077046392950376,0.5080466928030754,-2.239813504731119,0.4562449568458568,2.6740159264962187,2.906894795490214,0.033187424583189684,0.1370322863937649,0.11931712236367185,0.2349254828878703,0.01025824491620768,-0.03861836327340833,-0.7297678258284158,-0.08977684132400188,-0.45683460927084374,-0.23191212747963358,0.056968009822920405,0.2599042680686446,0.2713364919932726,0.16094930470813487,0.25920263791400067,0.14672061954464297,-1.4421085407069856,0.02171346269475358,0.18846555266464746,0.3915217762275989,0.027417483220527512,0.05709267632223363,-41.2056332525515,5571.518111892086,18.525326365068025,1357.3950332795182,1.9281593434528261]\n", + "Intercept: -3192679.1584404353\n", + "RMSE: 5061.244492\n", + "r2: 0.853017\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " \r" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+---------+-----------------+\n", + "|features |area_sums|prediction |\n", + "+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+---------+-----------------+\n", + "|[10.0,2021.0,12199.0,9107.0,24884.0,10934.0,12710.0,62904.0,55515.0,180042.0,674.0,3314.0,3259.0,1323.0,3077.0,7226.0,7209.0,10819.0,2898.0,1116.0,8828.0,3030.0,11178.0,34577.0,10307.0,59723.0,14084.0,3590.0,5678.0,99556.0,8672.0,7147.0,12736.0,104048.0,24877.0,3684.0,7049.0,1553.0,824.0,6866.0,3602.0,10986.0,8677.0,1848.0,3884.0,560.0,2047.0,6449.0,2113.0,2097.0,622.0,2949.0,898.0,326.0,15899.0,2444.0,4881.0,2795.0,5363.0,6014.0,1560.0,3048.0,1163.0,2742.0,5662.0,4618.0,5772.0,7720.0,3439.0,7108.0,1518.0,3534.0,550.0,2453.0,47198.0,16199.0,66.6,0.0,0.0,0.0,1824.0] |35049 |36155.24312346475|\n", + "|[5.0,2022.0,17302.0,10504.0,41467.0,17711.0,21337.0,149196.0,115617.0,325139.0,1709.0,4991.0,4437.0,2222.0,3102.0,10479.0,10187.0,17046.0,3773.0,1500.0,11274.0,4011.0,18070.0,66516.0,12716.0,112921.0,16796.0,4269.0,6324.0,135076.0,8657.0,8241.0,24360.0,141404.0,49033.0,12462.0,9371.0,1822.0,1172.0,8271.0,5041.0,12605.0,9392.0,1964.0,4288.0,572.0,2034.0,6706.0,1676.0,2233.0,677.0,3726.0,979.0,344.0,13677.0,2385.0,5182.0,3188.0,8379.0,6498.0,1899.0,3368.0,1688.0,3483.0,6736.0,5235.0,6157.0,8949.0,3413.0,8445.0,2252.0,3985.0,932.0,2861.0,38306.0,24753.0,55.9,0.0,0.0,0.0,1955.0] |54875 |47005.3645400377 |\n", + "|[12.0,2021.0,15334.0,11839.0,30581.0,14637.0,15938.0,84279.0,72666.0,232096.0,1016.0,4185.0,4262.0,1698.0,3693.0,9655.0,9731.0,14002.0,3570.0,1432.0,11428.0,4051.0,14444.0,44767.0,13778.0,75868.0,19517.0,4816.0,7073.0,118158.0,11234.0,9203.0,17681.0,126362.0,27419.0,5278.0,9174.0,2017.0,1188.0,9343.0,4944.0,14861.0,11699.0,2349.0,5020.0,848.0,2660.0,8718.0,2824.0,2832.0,644.0,4265.0,1237.0,468.0,17543.0,3150.0,6327.0,3647.0,6606.0,7771.0,2008.0,4083.0,1536.0,3817.0,7780.0,6562.0,8032.0,10688.0,4158.0,10085.0,1988.0,4732.0,744.0,3144.0,54636.0,21202.0,38.5,0.193,0.0,0.0,1619.0]|44651 |50539.29755615583|\n", + "|[12.0,2021.0,11030.0,8798.0,22502.0,9729.0,10909.0,54911.0,44628.0,150773.0,636.0,2999.0,3138.0,1292.0,2647.0,7134.0,7151.0,10014.0,2514.0,999.0,8570.0,2931.0,10060.0,28673.0,9890.0,47390.0,13852.0,3306.0,4965.0,79970.0,8147.0,7049.0,11133.0,90970.0,19143.0,3575.0,6627.0,1462.0,813.0,6489.0,3470.0,10615.0,8189.0,1696.0,3625.0,563.0,1850.0,6121.0,1968.0,1994.0,542.0,2914.0,839.0,348.0,11601.0,2223.0,4611.0,2586.0,4799.0,5586.0,1512.0,3023.0,1181.0,2954.0,5735.0,4590.0,5690.0,7401.0,2985.0,7117.0,1370.0,3270.0,473.0,2189.0,35940.0,14810.0,45.1,0.0,0.0,0.0,1619.0] |30397 |32994.72140055988|\n", + "|[11.0,2022.0,12706.0,9878.0,22455.0,11161.0,11416.0,56014.0,43704.0,152851.0,725.0,3513.0,3279.0,1489.0,3409.0,8088.0,7912.0,11317.0,3309.0,1401.0,9693.0,3514.0,11212.0,31451.0,11453.0,48328.0,15547.0,3836.0,6123.0,95624.0,9961.0,8231.0,13713.0,103379.0,29815.0,4813.0,8222.0,1874.0,981.0,7902.0,4159.0,13198.0,10010.0,1921.0,4570.0,853.0,2244.0,7891.0,2716.0,2833.0,686.0,3649.0,1160.0,419.0,21663.0,2670.0,5213.0,2846.0,5413.0,6384.0,1742.0,3472.0,1429.0,3113.0,6546.0,5476.0,7342.0,9143.0,3745.0,8607.0,1675.0,4305.0,666.0,3018.0,60583.0,16149.0,59.9,0.0,0.0,0.0,1743.0] |48964 |43063.5390418279 |\n", + "+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+---------+-----------------+\n", + "only showing top 5 rows\n", + "\n" + ] + } + ], + "source": [ + "train_df = train_df.na.drop() # Remove rows with null values\n", + "\n", + "# Train Model\n", + "from pyspark.ml.regression import LinearRegression\n", + "\n", + "#Elastic Net\n", + "lr = LinearRegression(featuresCol = 'features', labelCol='area_sums', regParam=0.3, elasticNetParam=0.8, maxIter=10)\n", + "lrm = lr.fit(train_df)\n", + "\n", + "#coefficients\n", + "print(\"Coefficients: \" + str(lrm.coefficients))\n", + "print(\"Intercept: \" + str(lrm.intercept))\n", + "\n", + "#model summary\n", + "print(\"RMSE: %f\" % lrm.summary.rootMeanSquaredError)\n", + "print(\"r2: %f\" % lrm.summary.r2)\n", + "\n", + "# Run the classifier on the test set\n", + "predictions = lrm.transform(test_df)\n", + "predictions.select('features','area_sums','prediction').show(5,truncate=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "id": "4a85f573-488a-40f1-b502-642a52298c99", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + " \r" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "RMSE: 5874.389\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ " \r" ] }, @@ -2087,52 +3234,22 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": null, + "id": "2d909cf9-c75b-4156-9cbc-393fb6ec519c", + "metadata": {}, + "outputs": [], + "source": [ + "# save model\n", + "model_path = \"gs://msca-bdp-student-gcs/bdp-rideshare-project/models/program_reduction_model\"\n", + "lrm.save(model_path)" + ] + }, + { + "cell_type": "code", + "execution_count": 129, "id": "0b2dad59-d006-4aaf-ad0a-0d8be9843801", "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - " \r" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "+-----+----+---+---+---+---+---+----+----+----+---+---+---+---+---+---+---+---+---+---+---+---+---+----+---+----+---+---+---+----+---+---+---+----+----+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+----+---+---------+----+------+----+---------+------+--------------------+------------------+\n", - "|month|year| 1| 2| 3| 4| 5| 6| 7| 8| 9| 10| 11| 12| 13| 14| 15| 16| 17| 18| 19| 20| 21| 22| 23| 24| 25| 26| 27| 28| 29| 30| 31| 32| 33| 34| 35| 36| 37| 38| 40| 43| 44| 45| 46| 47| 48| 49| 50| 51| 52| 53| 54| 55| 56| 57| 58| 59| 60| 61| 62| 63| 64| 65| 66| 67| 68| 69| 70| 71| 72| 73| 74| 75| 76| 77|area_sums|temp|precip|snow|snowdepth|sunset| features| prediction|\n", - "+-----+----+---+---+---+---+---+----+----+----+---+---+---+---+---+---+---+---+---+---+---+---+---+----+---+----+---+---+---+----+---+---+---+----+----+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+----+---+---------+----+------+----+---------+------+--------------------+------------------+\n", - "| 7|2023|452|347|900|431|381|2452|1759|6299| 27|131|135| 59|113|331|309|460|114| 44|345|130|398|1214|403|1923|633|156|200|3404|379|264|452|4042|1131|196|349| 62| 47|280|167|452|372| 84|165| 37| 90|317| 86|114| 23|157| 38| 17|755| 83|200|121|206|244| 55|149| 54| 99|233|220|282|355|136|342| 74|202| 24|119|1999|624| 1199|69.8| 3.278| 0.0| 0.0| 2029|[7.0,2023.0,452.0...| 20035.46479816595|\n", - "| 7|2023|463|365|965|463|444|2559|1962|7393| 34|127|131| 59|112|341|302|429| 97| 56|403|132|443|1310|433|2120|759|192|267|4459|391|336|526|4889|1197|239|321| 56| 46|344|175|541|363| 83|191| 31| 84|375|132| 92| 28|155| 41| 13|700| 90|197|120|223|256| 69|149| 41|109|247|257|267|370|152|375| 74|194| 25|124|1821|609| 1378|81.5| 0.0| 0.0| 0.0| 2028|[7.0,2023.0,463.0...|1412.1392092686146|\n", - "+-----+----+---+---+---+---+---+----+----+----+---+---+---+---+---+---+---+---+---+---+---+---+---+----+---+----+---+---+---+----+---+---+---+----+----+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+----+---+---------+----+------+----+---------+------+--------------------+------------------+\n", - "only showing top 2 rows\n", - "\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - " \r" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "+-----+----+---+---+---+---+---+----+----+----+---+---+---+---+---+---+---+---+---+---+---+---+---+----+---+----+---+---+---+----+---+---+---+----+----+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+----+---+---------+----+------+----+---------+------+\n", - "|month|year| 1| 2| 3| 4| 5| 6| 7| 8| 9| 10| 11| 12| 13| 14| 15| 16| 17| 18| 19| 20| 21| 22| 23| 24| 25| 26| 27| 28| 29| 30| 31| 32| 33| 34| 35| 36| 37| 38| 40| 43| 44| 45| 46| 47| 48| 49| 50| 51| 52| 53| 54| 55| 56| 57| 58| 59| 60| 61| 62| 63| 64| 65| 66| 67| 68| 69| 70| 71| 72| 73| 74| 75| 76| 77|area_sums|temp|precip|snow|snowdepth|sunset|\n", - "+-----+----+---+---+---+---+---+----+----+----+---+---+---+---+---+---+---+---+---+---+---+---+---+----+---+----+---+---+---+----+---+---+---+----+----+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+----+---+---------+----+------+----+---------+------+\n", - "| 7|2023|452|347|900|431|381|2452|1759|6299| 27|131|135| 59|113|331|309|460|114| 44|345|130|398|1214|403|1923|633|156|200|3404|379|264|452|4042|1131|196|349| 62| 47|280|167|452|372| 84|165| 37| 90|317| 86|114| 23|157| 38| 17|755| 83|200|121|206|244| 55|149| 54| 99|233|220|282|355|136|342| 74|202| 24|119|1999|624| 1199|69.8| 3.278| 0.0| 0.0| 2029|\n", - "| 7|2023|463|365|965|463|444|2559|1962|7393| 34|127|131| 59|112|341|302|429| 97| 56|403|132|443|1310|433|2120|759|192|267|4459|391|336|526|4889|1197|239|321| 56| 46|344|175|541|363| 83|191| 31| 84|375|132| 92| 28|155| 41| 13|700| 90|197|120|223|256| 69|149| 41|109|247|257|267|370|152|375| 74|194| 25|124|1821|609| 1378|81.5| 0.0| 0.0| 0.0| 2028|\n", - "+-----+----+---+---+---+---+---+----+----+----+---+---+---+---+---+---+---+---+---+---+---+---+---+----+---+----+---+---+---+----+---+---+---+----+----+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+----+---+---------+----+------+----+---------+------+\n", - "only showing top 2 rows\n", - "\n" - ] - }, { "name": "stderr", "output_type": "stream", @@ -2142,54 +3259,134 @@ }, { "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
year_monthsum(area_sums)sum(prediction)
02023-9228913262678.673214
12023-866816186.443012
22023-71066636928.352373
\n", + "
" + ], "text/plain": [ - "" + " year_month sum(area_sums) sum(prediction)\n", + "0 2023-9 228913 262678.673214\n", + "1 2023-8 6681 6186.443012\n", + "2 2023-7 10666 36928.352373" ] }, - "execution_count": 53, + "execution_count": 129, "metadata": {}, "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" } ], "source": [ - "# save model\n", + "# load pre-program model\n", + "from pyspark.ml.regression import LinearRegressionModel\n", + "from pyspark.ml.feature import VectorAssembler\n", + "\n", + "# Path to saved model on GCS\n", "model_path = \"gs://msca-bdp-student-gcs/bdp-rideshare-project/models/program_reduction_model\"\n", - "lrm.save(model_path)\n", + "\n", + "# Load the Linear Regression Model\n", + "lrm = LinearRegressionModel.load(model_path)\n", "\n", "# dataframe that is the true counts\n", "df_real = df_3\n", "\n", "# take the real data and create predictions to compare\n", "df_real_vector = vectorAssembler.transform(df_real)\n", - "df_first_predictions = lrm.transform(df_real_vector)\n", + "df_second_predictions = lrm.transform(df_real_vector)\n", + "\n", + "monthly_real = df_real.withColumn(\"year_month\", F.concat_ws(\"-\", df_real.year, df_real.month))\n", + "df_second_predictions = df_second_predictions.withColumn(\"year_month\", F.concat_ws(\"-\", df_second_predictions.year, df_second_predictions.month))\n", + "\n", + "#monthly_real.select('year_month').distinct().show(30)\n", + "monthly_real = monthly_real.groupBy('year_month').sum('area_sums')\n", + "monthly_second_preds = df_second_predictions.groupby('year_month').sum('prediction')\n", "\n", - "# now group by month and sum counts and plot\n", - "monthly_real = df_real.groupBy('month').sum('area_sums')\n", - "monthly_first_preds = df_first_predictions.groupby('month').sum('prediction')\n", "\n", "monthly_real_pd = monthly_real.toPandas()\n", - "monthly_first_preds_pd = monthly_first_preds.toPandas()\n", - "combined_df = monthly_real_pd.merge(monthly_first_preds_pd, left_on='month', right_on='month', how='inner')\n", + "monthly_second_preds_pd = monthly_second_preds.toPandas()\n", + "combined_df = monthly_real_pd.merge(monthly_second_preds_pd, left_on='year_month', right_on='year_month', how='inner')\n", + "combined_df" + ] + }, + { + "cell_type": "code", + "execution_count": 130, + "id": "82ce6fa9-a173-492a-91de-24f7e93d7d71", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "combined_df['year_month'] = pd.to_datetime(combined_df['year_month'], format='%Y-%m')\n", "\n", - "combined_df.columns = ['month','actual_post_reduction','predicted_post_reduction']\n", - "combined_df = combined_df.sort_values(by=['month']).set_index('month')\n", - "combined_df.plot(kind='line')" + "plt.figure(figsize=(12, 6))\n", + "sns.lineplot(x='year_month', y='sum(area_sums)', data=combined_df, marker='o', label='Actual Post-Policy Contraction')\n", + "sns.lineplot(x='year_month', y='sum(prediction)', data=combined_df, dashes=True, label='Predicted Post-Policy Contraction')\n", + "plt.title('Actual vs Predicted Post-Policy Contraction Daily Rides (2023)')\n", + "plt.xlabel('Year-Month')\n", + "plt.ylabel('Daily rides in program area')\n", + "plt.gca().xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m'))\n", + "plt.xticks(rotation=90)\n", + "plt.legend()\n", + "plt.tight_layout()\n", + "plt.show()" ] }, { "cell_type": "code", - "execution_count": 54, - "id": "7ebfd0b8-ca59-4947-9a06-56fd08b4bbd2", + "execution_count": 131, + "id": "b9c9cce4-a73a-4a1d-8e5e-a02818b398ae", "metadata": {}, "outputs": [ { @@ -2213,50 +3410,334 @@ " \n", " \n", " \n", - " actual_post_reduction\n", - " predicted_post_reduction\n", - " \n", - " \n", - " month\n", - " \n", - " \n", + " year_month\n", + " sum(area_sums)\n", + " sum(prediction)\n", " \n", " \n", " \n", " \n", + " 0\n", + " 2021-03-01\n", + " 178045\n", + " 193006.695556\n", + " \n", + " \n", + " 1\n", + " 2021-04-01\n", + " 176680\n", + " 178816.816038\n", + " \n", + " \n", + " 2\n", + " 2021-05-01\n", + " 183403\n", + " 177115.769091\n", + " \n", + " \n", + " 3\n", + " 2021-09-01\n", + " 193462\n", + " 182082.974058\n", + " \n", + " \n", + " 4\n", + " 2021-08-01\n", + " 163498\n", + " 158309.023479\n", + " \n", + " \n", + " 5\n", + " 2021-06-01\n", + " 181285\n", + " 165413.667248\n", + " \n", + " \n", + " 6\n", + " 2021-02-01\n", + " 156257\n", + " 158592.509085\n", + " \n", + " \n", " 7\n", - " 10666\n", - " 36928.352373\n", + " 2021-07-01\n", + " 172026\n", + " 172070.713297\n", " \n", " \n", " 8\n", - " 6681\n", - " 6186.443012\n", + " 2021-01-01\n", + " 177280\n", + " 179217.039411\n", " \n", " \n", " 9\n", + " 2021-11-01\n", + " 275975\n", + " 201316.311757\n", + " \n", + " \n", + " 10\n", + " 2021-10-01\n", + " 265236\n", + " 210299.350589\n", + " \n", + " \n", + " 11\n", + " 2021-12-01\n", + " 258103\n", + " 207578.423603\n", + " \n", + " \n", + " 12\n", + " 2021-11-01\n", + " 275975\n", + " 201316.311757\n", + " \n", + " \n", + " 13\n", + " 2021-10-01\n", + " 265236\n", + " 210299.350589\n", + " \n", + " \n", + " 14\n", + " 2021-12-01\n", + " 258103\n", + " 207578.423603\n", + " \n", + " \n", + " 15\n", + " 2023-01-01\n", + " 461079\n", + " 263854.436567\n", + " \n", + " \n", + " 16\n", + " 2022-04-01\n", + " 365044\n", + " 229855.316322\n", + " \n", + " \n", + " 17\n", + " 2023-04-01\n", + " 463392\n", + " 280383.624732\n", + " \n", + " \n", + " 18\n", + " 2023-05-01\n", + " 469985\n", + " 291879.252644\n", + " \n", + " \n", + " 19\n", + " 2022-07-01\n", + " 273441\n", + " 238003.298985\n", + " \n", + " \n", + " 20\n", + " 2022-11-01\n", + " 403456\n", + " 243251.328962\n", + " \n", + " \n", + " 21\n", + " 2022-05-01\n", + " 365878\n", + " 237826.757514\n", + " \n", + " \n", + " 22\n", + " 2022-10-01\n", + " 439440\n", + " 262934.652192\n", + " \n", + " \n", + " 23\n", + " 2022-09-01\n", + " 310420\n", + " 231850.364094\n", + " \n", + " \n", + " 24\n", + " 2022-01-01\n", + " 274172\n", + " 210230.981548\n", + " \n", + " \n", + " 25\n", + " 2023-06-01\n", + " 339336\n", + " 273999.704574\n", + " \n", + " \n", + " 26\n", + " 2022-03-01\n", + " 356928\n", + " 243639.120057\n", + " \n", + " \n", + " 27\n", + " 2022-12-01\n", + " 340977\n", + " 256011.843615\n", + " \n", + " \n", + " 28\n", + " 2022-06-01\n", + " 294611\n", + " 226426.620388\n", + " \n", + " \n", + " 29\n", + " 2023-02-01\n", + " 453236\n", + " 256310.650196\n", + " \n", + " \n", + " 30\n", + " 2022-02-01\n", + " 328935\n", + " 197677.798013\n", + " \n", + " \n", + " 31\n", + " 2023-03-01\n", + " 463721\n", + " 302917.852905\n", + " \n", + " \n", + " 32\n", + " 2022-08-01\n", + " 263644\n", + " 221321.815883\n", + " \n", + " \n", + " 33\n", + " 2023-09-01\n", " 228913\n", " 262678.673214\n", " \n", + " \n", + " 34\n", + " 2023-08-01\n", + " 6681\n", + " 6186.443012\n", + " \n", + " \n", + " 35\n", + " 2023-07-01\n", + " 10666\n", + " 36928.352373\n", + " \n", " \n", "\n", "" ], "text/plain": [ - " actual_post_reduction predicted_post_reduction\n", - "month \n", - "7 10666 36928.352373\n", - "8 6681 6186.443012\n", - "9 228913 262678.673214" + " year_month sum(area_sums) sum(prediction)\n", + "0 2021-03-01 178045 193006.695556\n", + "1 2021-04-01 176680 178816.816038\n", + "2 2021-05-01 183403 177115.769091\n", + "3 2021-09-01 193462 182082.974058\n", + "4 2021-08-01 163498 158309.023479\n", + "5 2021-06-01 181285 165413.667248\n", + "6 2021-02-01 156257 158592.509085\n", + "7 2021-07-01 172026 172070.713297\n", + "8 2021-01-01 177280 179217.039411\n", + "9 2021-11-01 275975 201316.311757\n", + "10 2021-10-01 265236 210299.350589\n", + "11 2021-12-01 258103 207578.423603\n", + "12 2021-11-01 275975 201316.311757\n", + "13 2021-10-01 265236 210299.350589\n", + "14 2021-12-01 258103 207578.423603\n", + "15 2023-01-01 461079 263854.436567\n", + "16 2022-04-01 365044 229855.316322\n", + "17 2023-04-01 463392 280383.624732\n", + "18 2023-05-01 469985 291879.252644\n", + "19 2022-07-01 273441 238003.298985\n", + "20 2022-11-01 403456 243251.328962\n", + "21 2022-05-01 365878 237826.757514\n", + "22 2022-10-01 439440 262934.652192\n", + "23 2022-09-01 310420 231850.364094\n", + "24 2022-01-01 274172 210230.981548\n", + "25 2023-06-01 339336 273999.704574\n", + "26 2022-03-01 356928 243639.120057\n", + "27 2022-12-01 340977 256011.843615\n", + "28 2022-06-01 294611 226426.620388\n", + "29 2023-02-01 453236 256310.650196\n", + "30 2022-02-01 328935 197677.798013\n", + "31 2023-03-01 463721 302917.852905\n", + "32 2022-08-01 263644 221321.815883\n", + "33 2023-09-01 228913 262678.673214\n", + "34 2023-08-01 6681 6186.443012\n", + "35 2023-07-01 10666 36928.352373" ] }, - "execution_count": 54, + "execution_count": 131, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "combined_df" + "final_dataset = pd.concat([final_dataset, combined_df], ignore_index=True)\n", + "final_dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 145, + "id": "08b87349-9cb2-4ed6-b5bf-96593ad39835", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(12, 6))\n", + "sns.lineplot(x='year_month', y='sum(area_sums)', data=final_dataset, marker='o', label='Actual Daily Rides in Program Area')\n", + "sns.lineplot(x='year_month', y='sum(prediction)', data=final_dataset, dashes=True, label='Predicted Daily Rides in Program Area')\n", + "\n", + "plt.axvline(pd.to_datetime('2021-10-01'), color='purple', linestyle='--', linewidth=2, label='Program Starts (Oct 2021)')\n", + "\n", + "plt.axvline(pd.to_datetime('2022-01-01'), color='green', linestyle='--', linewidth=2, label='Program Expands (Jan 2022)')\n", + "\n", + "\n", + "plt.axvline(pd.to_datetime('2023-07-01'), color='red', linestyle='--', linewidth=2, label='Program Contracts (July 2023)')\n", + "#plt.text(pd.to_datetime('2023-07-01'), final_dataset['sum(area_sums)'].max(), 'Program Contracts',\n", + " # rotation=0, verticalalignment='bottom', horizontalalignment='right', color='red')\n", + "\n", + "plt.title('Actual vs Predicted Daily Rides in Program Area')\n", + "plt.xlabel('Year-Month')\n", + "plt.ylabel('Daily rides in program area')\n", + "plt.gca().xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m'))\n", + "plt.xticks(rotation=90)\n", + "plt.legend(bbox_to_anchor=(1.05, 1), loc='lower right')\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "49a4a9b4-3ff9-4bdb-81d4-ae8587546ad8", + "metadata": {}, + "source": [ + "### Notes for Abe on work done:\n", + "\n", + "- Added predicted pre-program trends based on pre-program data.\n", + "- Added predictions for after program expansion based on pre-program data.\n", + "- Made all the plots nicer using Seaborn\n", + "- Created a final plot for data from 2021-2023. " ] }, {