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fixed link to NOAA stations data
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kstreet13 committed Sep 27, 2024
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4 changes: 2 additions & 2 deletions website/content/assignment/03-hw1.md
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# Due Date

This assignment is due by midnight Pacific Time, September 27th, 2024.
This assignment is due by 11:59pm Pacific Time, September 27th, 2024.

# Learning Goals
- Download, read, and get familiar with an external dataset.
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- state
- county
- site in Los Angeles
- sites in Los Angeles



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2 changes: 1 addition & 1 deletion website/content/assignment/05-hw2.md
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## Due Date

This assignment is due by midnight Pacific Time, October 11th, 2024.
This assignment is due by 11:59pm Pacific Time, October 11th, 2024.

For this assignment, we will be analyzing data from USC’s Children’s Health Study.
The learning objectives are to conduct data wrangling and visualize the data with key questions in mind.
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2 changes: 1 addition & 1 deletion website/content/assignment/05-lab.Rmd
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Expand Up @@ -89,7 +89,7 @@ Once you are done setting up the project, you can now start working with the MET

```{r stations-data, eval = FALSE}
# Download the data
stations <- fread("ftp://ftp.ncdc.noaa.gov/pub/data/noaa/isd-history.csv")
stations <- fread("https://noaa-isd-pds.s3.amazonaws.com/isd-history.csv")
stations[, USAF := as.integer(USAF)]
# Dealing with NAs and 999999
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4 changes: 2 additions & 2 deletions website/content/assignment/05-lab.md
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Expand Up @@ -88,9 +88,9 @@ Once you are done setting up the project, you can now start working with the MET
2. Load the met data from https://raw.githubusercontent.com/USCbiostats/data-science-data/master/02_met/met_all.gz, and also the station data. For the later, you can use the code we used during lecture to pre-process the stations data:


```r
``` r
# Download the data
stations <- fread("ftp://ftp.ncdc.noaa.gov/pub/data/noaa/isd-history.csv")
stations <- fread("https://noaa-isd-pds.s3.amazonaws.com/isd-history.csv")
stations[, USAF := as.integer(USAF)]

# Dealing with NAs and 999999
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2 changes: 1 addition & 1 deletion website/content/assignment/08-midterm.md
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Due **Sunday, October 27th, 2024** by midnight Pacific Time.
Due **Sunday, October 27th, 2024** by 11:59pm Pacific Time.

**Learning Objective**: To apply the skills learned in PM 566 (through Week 6) by analyzing and interpreting a dataset of your choice.

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2 changes: 1 addition & 1 deletion website/content/assignment/09-hw3.md
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## Due Date

This assignment is due by midnight Pacific Time, November 8th, 2024.
This assignment is due by 11:59pm Pacific Time, November 8th, 2024.

## Text Mining

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2 changes: 1 addition & 1 deletion website/content/assignment/11-hw4.md
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## Due Date

This assignment is due by midnight Pacific Time, November 22nd, 2024.
This assignment is due by 11:59pm Pacific Time, November 22nd, 2024.

The learning objectives are to write faster code for computational task requiring a loop and to implement some queries and basic data wrangling in SQL.

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2 changes: 1 addition & 1 deletion website/content/assignment/14-final.md
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date: 2024-11-22
---

Due date: Friday December 6th, 2024, by midnight Pacific Time.
Due date: Friday December 6th, 2024, by 11:59pm Pacific Time.

**Learning Objective**: To apply the skills learned in
PM 566 by analyzing and interpreting a dataset of your choice.
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2 changes: 1 addition & 1 deletion website/static/slides/05-data-wrangling/slides.Rmd
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## Merging data (cont. 1)

```{r stations-data, cache = TRUE, warning=FALSE}
stations <- fread("ftp://ftp.ncdc.noaa.gov/pub/data/noaa/isd-history.csv")
stations <- fread("https://noaa-isd-pds.s3.amazonaws.com/isd-history.csv")
stations <- as.data.frame(stations)
stations$USAF <- as.integer(stations$USAF)
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4 changes: 2 additions & 2 deletions website/static/slides/05-data-wrangling/slides.html
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<title>Week 5: Data Wrangling</title>
<meta charset="utf-8" />
<meta name="author" content="George G. Vega Yon and Kelly Street" />
<script src="libs/header-attrs-2.28/header-attrs.js"></script>
<script src="libs/header-attrs-2.27/header-attrs.js"></script>
<link href="libs/remark-css-0.0.1/default.css" rel="stylesheet" />
<link rel="stylesheet" href="theme.css" type="text/css" />
</head>
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``` r
stations &lt;- fread("ftp://ftp.ncdc.noaa.gov/pub/data/noaa/isd-history.csv")
stations &lt;- fread("https://noaa-isd-pds.s3.amazonaws.com/isd-history.csv")
stations &lt;- as.data.frame(stations)
stations$USAF &lt;- as.integer(stations$USAF)

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