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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
Reset Index
Unpivot (Melt) a Dataframe
Formatting
Exporting Data
Using the Generated Code
Changing Imported Data
Code Snippets
View in Mito Button
Telemetry
Mito's Security Model
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
Rerun analysis on new data
Misc
Videos
Release Notes
FAQ
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Delete Columns with Missing Values

How to scan through your dataframe for columns with missing values, and delete them.
Open the column control panel:
Switch to the Summary Stats tab:
Scroll down to check if the column contains NaN values
Click the Delete Column button to delete the column if it contains NaN values
The next column will be selected, and the summary stats will be open. Just scroll down and repeat this process to keep checking column headers for NaN values.
How To - Previous
Create a line chart of time series data
Next - How To
Exploratory Data Analysis
Last modified 8mo ago
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