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Community Data Science Workshops (Fall 2015)/Day 3 Projects/Civic data
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== Building and visualizing datasets using data.seattle.gov and Google apps == In this project, we will explore a few ways to analyze and visualize data from [https://data.seattle.gov data.seattle.gov]. We will examine trends in the construction of houses, townhomes, and condos in Seattle over the last five years, in order to determine the true extent of the current "construction boom". * We'll download data from two APIs ([[w:Socrata|Socrata]] open data platform and Google Maps) * We'll analyze trends over time in our dataset * We'll visualize our data in graphs and heatmaps === Topics we will cover === * Writing and testing complex API queries * Reading and writing CSV and JSON files * Filtering and aggregating data * Combining data from multiple APIs * Graphing and mapping data <!-- We will also explore an important non-technical part of data science: thinking critically about data. Thinking critically about the data you have, and what conclusions you can draw from it, is especially important when you are visualizing data, because its easy to mislead people with visualizations. We'll discuss how visualizations based on incorrect data can lead people to make false conclusions, using an example from a recent visualization of building demolitions published in the Northwest design magazine ''Arcade''. -->
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