Editing Statistics and Statistical Programming (Winter 2017)/Problem Set: Week 4
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The datasets are messy and aren't set up well to help us answer the question. Luckily, we can use R to solve these problems! | The datasets are messy and aren't set up well to help us answer the question. Luckily, we can use R to solve these problems! | ||
:'''PC1.''' Download these two datasets from data.seattle.gov, save them into your git repository | :'''PC1.''' Download these two datasets from data.seattle.gov, save them into your git repository [https://data.seattle.gov/City-Business/COS-Statistics-Top5000-Pages/yuhv-gvtm COS-Statistics-Top5000-Pages] [https://data.seattle.gov/City-Business/COS-Statistics-Mobile-Sessions/2u47-byfn COS-Statistics-Mobile Sessions]. Assume, for the purposes of this assignment that the first dataset on views to the top 5000 pages is ''all'' views made to the http://www.seattle.gov website | ||
:'''PC2.''' Load both datasets into R as separate data frames. Explore the data to get a sense of the structure of the data. What are the columns, rows, missing data, etc? Write code to take (and then check/look at) several random subsamples of the data. | :'''PC2.''' Load both datasets into R as separate data frames. Explore the data to get a sense of the structure of the data. What are the columns, rows, missing data, etc? Write code to take (and then check/look at) several random subsamples of the data. | ||
:'''PC3.''' Using the top 5000 dataset, create a new data frame where one column is each month (as described in the data) and a second column is the total number of views made to all pages in the dataset over that month. | :'''PC3.''' Using the top 5000 dataset, create a new data frame where one column is each month (as described in the data) and a second column is the total number of views made to all pages in the dataset over that month. |