Mito Tutorial Ep. 10 - Type Changes

In this video, we have Jake (co-founder of Mito) to show us how to change the data type of data and formula columns using Mito's type casting features. Mito's point and click type changes make it easy to identify the data type of each column in your dataframe, and cast those columns to a different type.
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⭕ Step-by-step instructions
1. Identifying Data Types
For each column in your dataframe, the datatype is displayed in the column header. The icon will help you distinguish between int/floats, strings, booleans, and dates/time deltas.
2. Changing Data Types
There are two ways to change the data type of columns inside Mito.
Firstly, for data columns (any column that was not created by a Mito spreadsheet formula), you can use the column dtype select dropdown in the column control panel. Just select the dtype that you want to cast the column series to.
For formula columns, you can use the typecasting spreadsheet formulas. To do so, add the VALUE, TEXT BOOL, or DATEVALUE function to your formula to convert your column to a number, string, boolean, or datetime respectively.
Source: docs.trymito.i...
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[@DrMoeVEVO]

Hello data professor, thank you for your awesome tutorials🙏❤ be safe

[@CodingProfessor]

Thank you, You too!

[@CodingProfessor]

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[@abetianbechristopher9588]

Good day, your videos have been a great help with my data analytic journey. Please does mito run on google colab? how do you install it?

[@CodingProfessor]

Mito does not work in Google Cola, it does work in Jupyter Labs