binder-profiling

Website implementation of Pandas Profiling to help you understand your data using MyBinder cloud services. Also available on Google Colab.

Requirements

numpy # tested on 1.19.2
pandas # tested on 1.1.2
pandas-profiling[notebook] #tested on 2.9.0
voila<=0.1.23 # tested on 0.1.23 (buggy)

Usage

jupyter on mybinder

1. Open jupyter on mybinder:

2. On navigation: Kernel -> Restart & Run All -> Restart and Run All Cells

3. Click on Upload below the display(wrapper) cell and upload your file

4. Click on show to show profiling result*

5. Click on .json or .html to export (generate link to new tab)

6. Repeat poin (3) to process new file

*it's more recommended to use the .html link (use export option), compared to show profiling result in notebook cell directly, especially for large file to avoid crashing.

jupyter on colab

1. Open jupyter on colab*:

2. shift + enter from first cell until display(wrapper) cell

3. Click on Upload below the display(wrapper) cell and upload your file

4. shift + enter all cell below the display(wrapper) cell

5. Repeat poin (3) and (4) to process new file

*no threading support, run each cell manually

Note

Only accept .csv format with , as delimiter and . as decimal separator. To make sure, open your .csv file in notepad. If your .csv file use ; as delimiter and , as decimal separator, you can use google spreadsheet to convert it or change your windows language settings.