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Pythonで学ぶ米国センサスデータ分析
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更新日 2023/07PythonExploratory Data Analysis5時間16 ビデオ57 演習4,850 XP7,369達成証明書
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前提条件
Data Manipulation with pandas1
Decennial Census of Population and Housing
Start exploring Census data products with the Decennial Census. Use the Census API and the requests package to retrieve data, load into pandas data frames, and conduct exploratory visualization in seaborn. Learn about important Census geographies, including states, counties, and tracts.
2
American Community Survey
Explore topics such as health insurance coverage and gentrification using the American Community Survey. Calculate Margins of Error and explore change over time. Create choropleth maps using geopandas.
3
Measuring Segregation
Explore racial segregation in America. Calculate the Index of Dissimilarity, and important measure of segregation. Learn about and use Metropolitan Statistical Areas, and important geography for urban research. Study segregation changes over time in Chicago.
4
Exploring Census Topics
In this chapter, you will apply what you have learned to four topical studies. Explore unemployment by race and ethnicity; commuting patterns and worker density; immigration and state-to-state population flows; and rent burden in San Francisco.
Pythonで学ぶ米国センサスデータ分析
コース完了 19百万人を超える学習者と一緒にPythonで学ぶ米国センサスデータ分析を今日から始めましょう!
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