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Aug 6th, 2022
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How to Clean contents in raw

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welcome to unit 2 cleaning up raw data in this unit we will look at the raw data again and do some basic formatting and formula exercises to clean up the data so its ready for us to analyze now were going to be using some of the Excel skills you learn in class one in terms of formulas and functions to clean up a raw data set that isnt exactly perfect yet for analyzing a lot of times youll get data from a database or from someone else in your company and it still has like extra characters or is not you know filtered correctly and you just have to kind of quickly massage the data a little bit to make sure its ready for you to analyze because if youre trying to analyze data thats not correctly formatted or contains incorrect values then thats not going to be useful at all right so were going to do some quick um its kind of tidying up with the data before we actually analyze it and this is a very common practice because sometimes when you get data from like a database that comes

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Begin by selecting all of the cells in your worksheet. Then, go to the Home tab on the ribbon and click on the Format button. From here, you can select from a variety of options to format your cells. For example, you can change the font size or color, add borders or shading, or even apply conditional formatting rules.
Select the tabular data as shown below. Select the home option and go to the editing group in the ribbon. The clear option is available in the group, as shown below. Select the clear option and click on the clear formats option.
Using the SHIFT key, select B1 to B1000. In the example, hold Shift and click cell B1000 to select cells B1 through B1000. Now, type =CLEAN(A1) (excluding the quotes) and then press Ctrl-Enter to apply the CLEAN function to the entire selection and clean every data point on our list.
Data cleaning is the process of removing incorrect, duplicate, or otherwise erroneous data from a dataset. These errors can include incorrectly formatted data, redundant entries, mislabeled data, and other issues; they often arise when two or more datasets are combined together.
The basics of cleaning your data Insert a new column (B) next to the original column (A) that needs cleaning. Add a formula that will transform the data at the top of the new column (B). Fill down the formula in the new column (B). Select the new column (B), copy it, and then paste as values into the new column (B).
How to clean data Step 1: Remove duplicate or irrelevant observations. Remove unwanted observations from your dataset, including duplicate observations or irrelevant observations. Step 2: Fix structural errors. Step 3: Filter unwanted outliers. Step 4: Handle missing data. Step 5: Validate and QA.
How to clean data Step 1: Remove duplicate or irrelevant observations. Remove unwanted observations from your dataset, including duplicate observations or irrelevant observations. Step 2: Fix structural errors. Step 3: Filter unwanted outliers. Step 4: Handle missing data. Step 5: Validate and QA.
Delete All Formatting Another good way of cleaning data in excel is to ensure even formatting or, in some cases, even removing the formatting. The formatting can be as simple as coloring your cells and aligning the text in the cells.

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