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In this repository, I use the Automotive dataset. Here I apply a data cleaning method to clean null and outlier data in a dataset.

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Automotive-PYTHON-DataCleaning-PracticeCase4-

Cleaning data is a challenge for a data scientist. In the avocado dataset, several columns have missing data. In filling in the missing data several methods can be used:

  1. Using the mean in the column.
  2. Using the mode in the column.
  3. Using the median in the column.
  4. Drop column.

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In this repository, I use the Automotive dataset. Here I apply a data cleaning method to clean null and outlier data in a dataset.

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