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# Cookbook

Welcome to the agate cookbook, a source of how-to’s and use cases.

## Basics

- Creating tables from various data types

- Saving data to various data types

- Removing columns from a table

- Filtering rows of data

- Sorting rows of data

- Searching through a table

- Standardize names and values

- Calculating statistics

- Computing new columns

- Handling dates and times

## Coming from other tools

- SQL

- Excel

- R

- Underscore.js

- Pandas (coming soon!)

## Advanced techniques

- Filling missing rows in a dataset

- Renaming and reordering columns

- Transforming data (pivot/normalize/denormalize)

- Setting your locale and working with foreign data

- Ranking a sequence of data

- Creating simple charts

- Mapping columns to common lookup tables

Have a common use case that isn’t covered? Please submit an issue on the GitHub repository.