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Assignment 3

 

Assignment no:3 Remove duplicate data

January 31, 2025

 Removing duplicate data is an essential step in data cleaning and preprocessing. Here are some methods to remove duplicate data:


# Using Excel

1. *Select the data range*: Choose the cells that contain the data you want to remove duplicates from.

2. *Go to the "Data" tab*: Click on the "Data" tab in the ribbon.

3. *Click on "Remove Duplicates"*: Click on the "Remove Duplicates" button in the "Data Tools" group.

4. *Select the columns to check for duplicates*: Choose the columns you want to check for duplicates.

5. *Click "OK"*: Click "OK" to remove the duplicates.


# Using Google Sheets


2. *Go to the "Data" menu*: Click on the "Data" menu.

3. *Select "Remove duplicates"*: Choose "Remove duplicates" from the drop-down menu.

4. *Select the columns to check for duplicates*: Choose the columns you want to check for duplicates.

5. *Click "Remove duplicates"*: Click "Remove duplicates" to remove the duplicates.


# Using SQL

1. *Use the DISTINCT keyword*: Use the DISTINCT keyword to select unique rows.

Example: `SELECT DISTINCT * FROM table_name;`

2. *Use the GROUP BY clause*: Use the GROUP BY clause to group rows by one or more columns.

Example: `SELECT column1, column2 FROM table_name GROUP BY column1, column2;`


# Using Python

1. *Use the Pandas library*: Use the Pandas library to remove duplicates from a DataFrame.

Example: `df.drop_duplicates(inplace=True)`

2. *Use the NumPy library*: Use the NumPy library to remove duplicates from an array.

Example: `np.unique(array)`


# Tips and Variations

- *Remove duplicates based on multiple columns*: Use the "Remove Duplicates" feature in Excel or Google Sheets to remove duplicates based on multiple columns.

- *Remove duplicates and keep the original order*: Use the "Remove Duplicates" feature in Excel or Google Sheets to remove duplicates and keep the original order.

- *Remove duplicates and keep the most recent entry*: Use the "Remove Duplicates" feature in Excel or Google Sheets to remove duplicates and keep the most recent entry.



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