Clean up questionaire in excel

Aug 6th, 2022
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How to clean up questionaire in excel

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in this video youamp;#39;re going to learn all the fundamentals of data analysis and weamp;#39;ll break this down into four main areas first weamp;#39;re going to be looking at transforming the data so cleaning it up secondly weamp;#39;re going to be looking at creating descriptive statistics to understanding better third weamp;#39;re going to be looking at data analysis and finally weamp;#39;ll get into creating a report to visualize our findings so letamp;#39;s get into it and thank you to Coursera for sponsoring this video more on them later the first step here is to transform the data and for this hereamp;#39;s the Excel file that weamp;#39;ll be working with which you can download for free in the video description so as you can see this is going to be for a fast food chain you can see the types of products here and the first step is simply to clean this up but for that weamp;#39;re going to go to control T So to change this into a table so cha

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Filter a range of data Select any cell within the range. Select Data Filter. Select the column header arrow . Select Text Filters or Number Filters, and then select a comparison, like Between. Enter the filter criteria and select OK.
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.
Cleaning data means getting rid of any anomalous, incorrectly filled or otherwise odd results that could skew your analysis. Some examples include: Straight-lining, where the respondent has selected the first response to every question, regardless of the question.
Here are 8 effective data cleaning techniques: Remove duplicates. Remove irrelevant data. Standardize capitalization. Convert data type. Clear formatting. Fix errors. Language translation. Handle missing values.
Steps to Clean Data Remove Duplicate and Incomplete Cases: Remove Oversample: Ensure Answers are Formatted Correctly: Remove Nonsense Answers and Unreadable Data: Identify and Review Outliers: Code Open Ended Data. Check Data Consistency: Perform Final Quality Assurance Checks:
5 Ways to Display Your Survey Results Bar graphs are the most popular way to display results. Line graphs show how results change over time by tracking the ups and downs of the data. Pie charts show the breakup of a whole into sections. Venn diagrams show the interaction between respondents and their answers.
How to analyze survey data in Excel Tip #1: Create blank data rows with a filter. Tip #2: Count the number of blanks in a range with COUNTBLANK. Tip #3: Convert numbers to ranges with VLOOKUP. Tip #4: Convert binary answers to binary numbers. Tip #5: Calculate the correlation between survey results with CORREL.

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