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If you want to know the distribution of customer ratings, you can use a histogram for that. Before analyzing always check that only valid values are in cells, there are no missing or null values and data is in the proper format.

This data set is already clean and validated so we don’t have to perform any data cleaning and validation steps on it. We can also check the Attribute information of this sheet on the Kaggle site. Open supermarket_sales – Sheet1 file in MS Excel. We are going to analyze this dataset with Microsoft Excel. The given dataset shows the historical sales of a Supermarket Company which has recorded data for 3 months in 3 different branches of the Supermarket. The growth of supermarkets is increasing and market competition is also high. Ctrl + Shift + ) or Alt + O + C + U : To Unhide columnsĭownload Supermarket sales data set from Kaggle using the below link: Ctrl + Shift + Down/Right : Select till the last non-empty cell in column/rowĨ. Ctrl + Pg Up/Pg Dn : Shift between sheetsĤ. Alt + A + T or Alt + D+ F +F : To add or remove FiltersĢ. Essential keyboard Shortcuts for Excel Data Analysisġ. It can be analyzed with the relevant Excel commands, statistical functions, and tools – Sort, Filter, Ranges, Tables, Conditional Formatting, Date functions, Time functions, Subtotals, Quick Analysis, What-if Analysis, Solvers, Pivot Tables, Charts, and Analysis ToolPak, etc. Then that data can be converted and formatted in several ways according to user need. The data can be collected from various sources. Microsoft Excel provides powerful features and ways to interpret and analyze data. There are many other techniques available like Statistical analysis, Text analysis, Diagnostic analysis, Predictive analysis, Prescriptive Analysis, etc. There are two main methods of Data Analysis: qualitative analysis and quantitative analysis. it is mandatory to clean data before uses for analysis), Data Analysis (In this step we uses data analysis software’s and other tools to interpret the data and get insights on data), Data Interpretation (We need to interpret them and give the best findings from that) and data visualization (Display your data using graph and charts so that people can read and understand it easily).

Tables, What-If Analysis and Quick Analysisĭata analysis is the process of Data Requirement Gathering (What type of data do you want to use and how do you plan to analyze it), Data Collection (Collect the data from available sources), Data Cleaning (The data we collected are not always in ideal form so we have to remove white spaces, duplicate records, null values, and basic errors.

Sort, Filter, Conditional, Formatting, and Charts.

Essential keyboard Shortcuts for Excel Data Analysis.

Data analysis is the process of collecting, modeling, and analyzing, and exploring data to find a pattern in it.

Introductionĭata analysis has emerged as an important field because it provides the ability to analyze data which helps people in making better decisions. This comprehensive guide will introduce you to the concepts of data analysis and present practical examples using Microsoft Excel. Microsoft Excel is a simple, powerful, and one of the top tools for data analysis.

This article was published as a part of the Data Science Blogathon Overviewĭata analysis provides insights from raw data which is used to support decision-making.