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Exno:1

Data Cleaning Process

AIM

To read the given data and perform data cleaning and save the cleaned data to a file.

Explanation

Data cleaning is the process of preparing data for analysis by removing or modifying data that is incorrect ,incompleted , irrelevant , duplicated or improperly formatted. Data cleaning is not simply about erasing data ,but rather finding a way to maximize datasets accuracy without necessarily deleting the information.

Algorithm

STEP 1: Read the given Data

STEP 2: Get the information about the data

STEP 3: Remove the null values from the data

STEP 4: Save the Clean data to the file

STEP 5: Remove outliers using IQR

STEP 6: Use zscore of to remove outliers

Coding and Output

Screenshot 2024-10-08 104637 Screenshot 2024-10-08 110236 Screenshot 2024-10-08 110342 Screenshot 2024-10-08 110755 Screenshot 2024-10-08 110845 Screenshot 2024-10-08 111213 Screenshot 2024-10-08 111347 Screenshot 2024-10-08 111546 Screenshot 2024-10-08 111752 Screenshot 2024-10-08 113434 Screenshot 2024-10-08 113646 Screenshot 2024-10-08 113744 Screenshot 2024-10-08 113855 Screenshot 2024-10-08 114012 Screenshot 2024-10-08 210233 Screenshot 2024-10-08 210347 Screenshot 2024-10-18 141956 Screenshot 2024-10-18 142355 Screenshot 2024-10-18 142640 Screenshot 2024-10-18 143045 Screenshot 2024-10-18 143349 Screenshot 2024-10-18 144340 Screenshot 2024-10-20 141842 Screenshot 2024-10-20 142027 Screenshot 2024-10-20 143123 Screenshot 2024-10-20 160818 Screenshot 2024-10-20 163010 Screenshot 2024-10-20 163134 Screenshot 2024-10-20 163412 Screenshot 2024-10-20 163637 Screenshot 2024-10-20 163749 Screenshot 2024-10-20 164015

Result

Thus the above program has been executed successfully

About

data process

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  • Python 18.7%