This program helps data analysts understand ONLY the quantitative data they have. Some specific things this program does:
- Get Numerical Summaries
- Obtain the 5 Number Summary with a Box Plot
- Determine the Shape and distribution of the data with Histogram & QQ Plot and helps the analyst make decisions to end up with a final conclusion of the descriptive statistics analysis.
- Creates a professional looking PDF report
To use this program, you need to:
- Add the csv file you want to analyze to the
datasets
folder - Run the
quantitative_descriptive_stats.py
program - Follow the instructions and answer the questions the program ask you
- Review the graphs as they appear to determine the proper conclusions
- Take a look at your report that is stored in the
reports
folder
- All images generated are stored in the
images
folder - All pdf reports are stored in the
reports
folder - Images and reports are stored with the name of the csv file and of the variable (column) analyzed
- The datasets in the
test_datasets
folder are there to test the program - You can test the program by running the
test_quantitative_descriptive_stats.py
(sometimes a test fails, but with one or two retries it should pass all tests).
You will need to install the following libraries:
- pandas
- matplotlib
- math
- scipy
- statsmodels
- fpdf
- webbrowser
Felipe Valencia Clavijo & Dataplicada © - [email protected]