In this workshop, we'll work through the multi-step process of aggregating data from the US Census American Community Survey (ACS) to locally important geographies: specifically, Chicago community areas. The workshop is designed as a Jupyter Notebook to support self-paced learning and future reference.

GitHub - NamrathaKatke/Census-Data-Using-Python-and-DA: This project uses Python to analyze and visualize census data. By applying Pandas and Matplotlib, it cleans and explores demographic information, revealing trends in population distribution, age, and socioeconomic factors. The insights aid in policy planning and resource allocation decisions.

We have a potential problem: We have the census data, and we have the shapefile of census tracts that correspond with that data, but they are stored in two separate variables (va_df and va_tract respectively)! That makes it a bit difficult to map since these two separate datasets aren’t connected to each other.

Mar 6, 2024 · Accessing the American Community Survey (ACS) data in Python is made even easier with the census library. The ACS provides aggregate population and housing statistics. Some of these variables are also available crossed (e.g., tenure by household size and by age of the householder). Additionally, all variables include a margin of error estimate.

Apr 17, 2020 · Solution: Below is the link to the Jupyter Notebook I made for this project, as @ method7564419324 states there is no solution provided on the course. Thanks @method7564419324. Can someone (preferably from CodeAcademy) tell me why there is no video walkthrough for this one?

Sep 4, 2021 · In this blog-post, I will go through the whole process of creating a machine learning model on the census income dataset. This data was extracted from the 1994 Census bureau database by Ronny...

GitHub - censusdis/censusdis: censusdis is a Python package for discovering, loading and analyzing, U.S. Census demographic, economic, and geographic data and metadata. It is designed to be intuitive and Pythonic, giving users access to the full collection of data and maps the U.S. Census publishes via their APIs.

Nov 5, 2020 · There are several mistakes in the code you posted, but I assume that's because you have been troubleshooting by trying different combinations. First, I think the original problem is that you aren't using the full variable name required for the query. It should be 'group (DP03)'.

Jan 10, 2016 · Data from the Census Bureau has been used for harm, 13 and current ACS terminology asks respondents to identify by terms such as "race". 14 For this project, I take data from the Census Bureau at face value, and I infer from it at face value. It's important to respect that these aren't simply data points; these are people.

Most of the stuff I've found involves series and tuples. I'm fairly new to pandas (and programming) and this is my first attempt at using/creating multi-indexes. After downloading census data as csv and creating dataframe with pertinent fields I have: And I …