Regress.me

Regress.me is an easy to use data/model visualization tool powered by Python (Dash/Plotly). Simply upload a .csv file to get started.

If you want to run the app locally run

  python client_app.py

Visualizations

There are 15 graphs available inlcuding

• Correlation matrix
• Scatter chart
• Bar chart
• Distribution chart
• Line chart
• Pie chart
• Scatter matrix
• Box plot
• Histogram
• 2D Contour
• 2D Histogram
• 3D Scatter chart
• 3D Line chart
• Surface plot
• Mesh grid

OLS

To run an OLS model, just select a non binary quanitative variable as the dependent variable.

Logistic Regression

To run a logistic model, select a binary quanitative variable as the dependent variable.

Errors

Common Errors:

• Not uploading a dataset than can be read into a Pandas dataframe
  • if your data is not uploading then please try with a simple dataset like Iris to make sure the site works. If the problem still persists then make a post on discussions
• Selecting dependent variable as independent variable
• perfect collinearity for OLS
• perfect seperation for logit