1. Step 0: Learn
   1. Mito
      1. docs
   2. https://towardsdatascience.com/how-to-make-basic-visualizations-in-python-without-coding-f1da689d838e
2. Step 1: Install Mito and Launch JupyterLab
   1. terminal
      1. python -m pip install mitoinstaller python -m mitoinstaller install
      2. python -m jupyter lab
3. Step 2: Create a Dataframe
   1. in Jupyter notebook: write and run
      1. import mitosheet mitosheet.sheet()
   2. import a dataset
      1. click on the “Import” Mito button and select the file
4. Step 3: Learn more about features and Transform data
   1. click on the column
      1. you can use
         1. Filter/Sort
         2. Values
         3. Stats
   2. edit data as Google Sheets
5. Step 4: Create visualizations
   1. click on the “Graph” Mito button and then select Chart type and add columns for X or Y axis.
      1. bar
      2. box
         1. for number columns
      3. histogram
         1. for number columns
      4. scatter
6. you need Python 3.6 or above and also JupyterLab
7. we will create a mitosheet
8. generate Python code automatically