Clear up code in csv

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Aug 6th, 2022
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How to clear up code in csv

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thank you hello and welcome to another video in this video weamp;#39;re looking at the dark living using python so um what is data of learning data cleaning is the process of fixing for removing incorrect corrupted correctly formatted ticket or incomplete data within a data set now um sometimes in the process of collect and collecting data those data can be wrongly formatted and so because of that they are not correct so in this video I shall be claiming a data set on Diabetes results of patients so I will just go right away and click on my Jupiter notebook Frontier thank you foreign navigate to the folder having the diabetes better okay so this will be foreign what I want to do is Iamp;#39;ll open a new python 35. so here we are um before we get started I want us to take a look at the data set itself letamp;#39;s look at the unclean data sets it is in CSV format so Iamp;#39;ll simply click here and then you can see they are quite a w

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1 Check for errors. The first step to clean CSV data is to check for any errors or anomalies that could impede reading or processing the data correctly. 2 Handle missing values. 3 Standardize values. 4 Normalize data. 5 Detect outliers. 6 Validate data. 7 Heres what else to consider.
Example 1: Delete Last Row from the Csv File Heres an example, where we deleted the last row using drop method. First, we read the CSV file as a Data Frame using readcsv(), then used the drop() method to delete the row at index -1. We then specified the index to drop using the index parameter.
How To Remove Extra Space in a CSV File - Rons Data Edit Step 1: Open your file with a dedicated CSV Editor - Rons Data Edit. Step 2: Open the Toolbox and go to the Remove Space Tool. Step 3: Set the appropriate Remove Space options. Step 4: Apply the changes. Step 5: Save the File.
To Remove Extra Space in a CSV File Step 1: Open your file with a dedicated CSV Editor - Rons Data Edit. Step 2: Open the Toolbox and go to the Remove Space Tool. Step 3: Set the appropriate Remove Space options. Step 4: Apply the changes. Step 5: Save the File. A Faster Way to Remove Spaces.
Click the Data tab, and select From Text. Find your CSV file stored on your computer, and click Open. In the Text Import Wizard window, be sure Delimited is selected as your file type. In the File origin drop down, select 65001 : Unicode (UTF-8) Check the My Data has headers box. Click the Next button.
In the Header size error policy, select Trim record to fit header. This will ignore any extra columns in the input data. Hope this helps!
Import Pandas. Read CSV File. Use drop() function for removing or deleting rows or columns from the CSV files. Print Data.

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