US_Census_Visualizer

Authors:

• Rebecca Weiss
• Jacob Dengler
• Matthew Quaglia
• Ruben Lema
• Sanjay Kanakaraj

Purpose

The purpose of US_Census_Analyzer is to statistically analyze and visually present data based on the US census.

Data can be found at https://www.census.gov/data/datasets/time-series/demo/popest/2020s-national-total.html

Organization

README.md
__init__.py
census_bargraphs_piecharts.py
combined_statisticsV2.py
data
   |-- CO-EST2021-ALLDATA.pdf
   |-- NST-EST2021-ALLDATA.pdf
   |-- NST-EST2021-POPCHG2020-2021.pdf
   |-- NST-EST2021-alldata.csv
   |-- NST-EST2021-popchg2020_2021.csv
   |-- co-est2021-alldata.csv
main.py
mapviz.py
output
   |-- 2021population_map.png
requirements.txt
round_slicingV2.py
sum_statisticV2.py

The package is divided into four classes as well as additional functions.

The class round_slicing is used to round numerical data, slice the data frame into various categories, and return data on specific regions, states, and cities.

The class sum_statistics is used to find various statistical values of the entire data frame, inlcuding national mean, median, standard devation, etc.

The class combination_statistics has many similar function. However, this function takes in lists of specified combinations of state names and will output the statistical values for these unique combinations.

The class census_bargraphs_piecharts allows users to insert specific column names to view the locational data in either bar graphs or pie charts, also incorporating a comparison bar graph for more than one variable of interest

Additional functions include mapviz and map_usa_heat, both offer a users view US census data directly on a model map of the US. The function map_usa will makes a map color-coded to values of interest. On the other hand, map_usa_heat shows a color scale for open-ended values. Both functions help the user visualize the variable of their choice for a clear view of how it looks mapped onto a model.

Overall, the various functions and class are available to visually display the data in the form of maps and charts.

Examples of Use

1. Finding the average estimated population of the United States of America for 2020.
2. Showing a HeatMap of the birthrate of the United States of America in 2020.
3. Comparing the average Birthrate between the North and South both numerically and through a comparison bargraph

To install dependencies:

pip install -r requirements.txt