Clean up date in csv smoothly

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Aug 6th, 2022
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How to Clean up date in csv

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hello everyone so in this video i will be showing how to clean some of the aspects of a messy data set using some functions in excel so this particular data set was obtained from kaggle.com i will put a link to that data set in the description as a form of acknowledgement but as you can see from the data set its uh got some issues a couple of issues that stand out immediately are the dates so you can see that it doesnt have a date only it also have the timestamp in it so you got the hour and then plus zero zero im guessing thats the millisecond or something like that so we need to convert this into a proper date format the other issue that you can see in this data set is that its got a product category three so its got the category here clothing furniture and so forth and then its got the subcategories subcategory and then ultimately its got um the product name now this product name is essentially the same as these products here most of them uh the brand names in this day part

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Open the . RIGHT-CLICK the tile above the Start Date column header. ( Select Format Cells from the shortcut menu. If necessary, select the Number tab (it should appear by default). Select Custom from the number Category list. In the Type field, replace the text that appears with yyyy-mm-dd. Click OK.
In an Excel sheet, select the cells you want to format. Press Ctrl+1 to open the Format Cells dialog. On the Number tab, select Custom from the Category list and type the date format you want in the Type box. Click OK to save the changes.
This problem is caused by the dates and times being stored as text values. The solution is to use Text to Columns to convert the dates and times to numeric values. You will then be able to apply date and time formats in the normal way. 30+ hrs - includes certification.
Avoiding formatting change on CSV on Microsoft 365 or Excel 2019 is fairly easy. Activate the Insert tab in the Ribbon. Click From Text/CSV in the Get Transform Data section. Select your file. You will see the preview of your data. Either click Load to import the data.
Well cover the following: Dropping unnecessary columns in a DataFrame. Changing the index of a DataFrame. Using . str() methods to clean columns. Using the DataFrame. applymap() function to clean the entire dataset, element-wise. Renaming columns to a more recognizable set of labels. Skipping unnecessary rows in a CSV file.
Resolution steps Open your file in Microsoft Excel. Follow the instructions from this Microsofts article to change the date format. Ensure the Locale (location) is United Kingdom (English) . Select formatting that shows the date in the dd/mm/yyyy format.
If you only have a few numbers to enter, you can stop Excel from changing them into dates by entering: A space before you enter a number. An apostrophe () before you enter a number, such as 11-53 or 1/47.

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