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Mito
Mito Docs
Getting Started
Installing Mito
Core Concepts
Feature Reference
Creating a Mitosheet
Importing Data
Graphing
Pivoting/Group By
Filter out Rows
Summary Statistics
Type Changes
Spreadsheet Formulas
Editing Individual Cells
Combining Dataframes
Sort Data
Split Text to Columns
Deleting Columns
Deleting Rows
Column Headers
Deduplicate
Fill NaN Values
Transpose
Unpivot (Melt) a Dataframe
Formatting
Exporting Data
Using the Generated Code
View in Mito Button
Telemetry
Upgrading Mito
How To
Pass a dataframe into Mito
Create a line chart of time series data
Delete Columns with Missing Values
Exploratory Data Analysis
Create a Bar Chart
Split a column on delimiter
Misc
Videos
Release Notes
FAQ
Terms of Service
Privacy Policy
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Mito Docs
Mito: the fastest way to do Python data analytics, simply by editing a spreadsheet.

How these docs are organized

  1. 1.
    ​Getting Started will provide you with basic info on installing Mito, and understanding Mito's high-level concepts.
  2. 2.
    ​Feature References will help you use a specific feature Mito offers, from importing to exporting.
  3. 3.
    ​How Tos help you accomplish specific, common tasks that Mito users are looking to get done.
  4. 4.
    ​Misc contains our release notes, terms of service, and more.

Where to start

Just getting started with Mito? Cool. Here's what we'd reccomend.
  1. 1.
    Follow the instructions for installing Mito.​
  2. 2.
    Understand the concepts that drive the mitosheet.​
  3. 3.
    Start your work by importing data into Mito.
Next - Getting Started
Installing Mito
Last modified 2mo ago
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