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added statistics model, updated revenue model #6

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Comparison Summary
Table Rows Columns
dim_zones 265 (+0) 4 (+0)
fact_trips 105219 (+0) 27 (+0)
dm_monthly_zone_statistics (+) 5599 6
dm_monthly_zone_revenue (!) 5599 (+0) 12 (-3)
(deleted=3)
Tables Summary (added=1, schema changed=1)
dim_zones
Column Type Valid % Distinct %
locationid NUMERIC(18, 3) 100.0% (+0.0%) 100.0% (+0.0%)
borough VARCHAR 100.0% (+0.0%) 2.64% (+0.0%)
zone VARCHAR 100.0% (+0.0%) 98.87% (+0.0%)
service_zone VARCHAR 100.0% (+0.0%) 1.89% (+0.0%)
fact_trips
Column Type Valid % Distinct %
tripid VARCHAR 100.0% (+0.0%) 99.99% (+0.0%)
vendorid INTEGER 100.0% (+0.0%) 0.0% (+0.0%)
service_type VARCHAR 100.0% (+0.0%) 0.0% (+0.0%)
ratecodeid INTEGER 95.7% (+0.0%) 0.01% (+0.0%)
pickup_locationid INTEGER 100.0% (+0.0%) 0.23% (+0.0%)
pickup_borough VARCHAR 100.0% (+0.0%) 0.01% (+0.0%)
pickup_zone VARCHAR 100.0% (+0.0%) 0.23% (+0.0%)
dropoff_locationid INTEGER 100.0% (+0.0%) 0.24% (+0.0%)
dropoff_borough VARCHAR 100.0% (+0.0%) 0.01% (+0.0%)
dropoff_zone VARCHAR 100.0% (+0.0%) 0.24% (+0.0%)
pickup_datetime TIMESTAMP 100.0% (+0.0%) 99.96% (+0.0%)
dropoff_datetime TIMESTAMP 100.0% (+0.0%) 99.88% (+0.0%)
store_and_fwd_flag VARCHAR 95.7% (+0.0%) 0.0% (+0.0%)
passenger_count INTEGER 95.7% (+0.0%) 0.01% (+0.0%)
trip_distance NUMERIC(18, 3) 100.0% (+0.0%) 2.32% (+0.0%)
trip_type INTEGER 98.83% (+0.0%) 0.0% (+0.0%)
fare_amount NUMERIC(18, 3) 100.0% (+0.0%) 2.3% (+0.0%)
extra NUMERIC(18, 3) 100.0% (+0.0%) 0.03% (+0.0%)
mta_tax NUMERIC(18, 3) 100.0% (+0.0%) 0.0% (+0.0%)
tip_amount NUMERIC(18, 3) 100.0% (+0.0%) 1.43% (+0.0%)
tolls_amount NUMERIC(18, 3) 100.0% (+0.0%) 0.11% (+0.0%)
ehail_fee NUMERIC(18, 3) 95.68% (+0.0%) 0.0% (+0.0%)
improvement_surcharge NUMERIC(18, 3) 100.0% (+0.0%) 0.0% (+0.0%)
total_amount NUMERIC(18, 3) 100.0% (+0.0%) 4.19% (+0.0%)
payment_type INTEGER 98.83% (+0.0%) 0.0% (+0.0%)
payment_type_description VARCHAR 95.7% (+0.0%) 0.0% (+0.0%)
congestion_surcharge NUMERIC(18, 3) 95.7% (+0.0%) 0.0% (+0.0%)
dm_monthly_zone_statistics (+)
Column Type Valid % Distinct %
revenue_zone (+) VARCHAR 100.0% 4.3%
revenue_month (+) DATE 100.0% 0.68%
service_type (+) VARCHAR 100.0% 0.04%
total_monthly_trips (+) BIGINT 100.0% 3.68%
avg_monthly_passenger_count (+) DOUBLE_PRECISION 76.12% 19.76%
avg_monthly_trip_distance (+) DOUBLE_PRECISION 100.0% 68.16%
dm_monthly_zone_revenue (!)
Column Type Valid % Distinct %
revenue_zone VARCHAR 100.0% (+0.0%) 4.3% (+0.0%)
revenue_month DATE 100.0% (+0.0%) 0.68% (+0.0%)
service_type VARCHAR 100.0% (+0.0%) 0.04% (+0.0%)
revenue_monthly_fare NUMERIC(38, 3) 100.0% (+0.0%) 60.15% (+0.0%)
revenue_monthly_extra NUMERIC(38, 3) 100.0% (+0.0%) 9.16% (+0.0%)
revenue_monthly_mta_tax NUMERIC(38, 3) 100.0% (+0.0%) 3.8% (+0.0%)
revenue_monthly_tip_amount NUMERIC(38, 3) 100.0% (+0.0%) 43.76% (+0.0%)
revenue_monthly_tolls_amount NUMERIC(38, 3) 100.0% (+0.0%) 4.48% (+0.0%)
revenue_monthly_ehail_fee NUMERIC(38, 3) 68.41% (+0.0%) 0.03% (+0.0%)
revenue_monthly_improvement_surcharge NUMERIC(38, 3) 100.0% (+0.0%) 3.79% (+0.0%)
revenue_monthly_total_amount NUMERIC(38, 3) 100.0% (+0.0%) 74.51% (+0.0%)
revenue_monthly_congestion_surcharge NUMERIC(38, 3) 76.12% (+0.0%) 5.02% (+0.0%)
total_monthly_trips (-) BIGINT - -
avg_montly_passenger_count (-) DOUBLE_PRECISION - -
avg_montly_trip_distance (-) DOUBLE_PRECISION - -

@DaveFlynn
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Hi wildlyclassyprince,

Congrats for making it this far and adding the comparison summary to your pull request comment!

How did you find the workshop experience, were the steps easy to follow?
We'd love to know about your experience using PipeRider!

Thanks,

Dave

@wildlyclassyprince
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Hi DaveFlynn,

The workshop was quite insightful and the instructions easy to follow.

I'm now using the docs to prototype and share with colleagues.

Thanks,

wildlyclassyprince

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2 participants