Spreadsheets are commonly used to inspect the results and check the correctness of the information. This heavily increases the chances of making mistakes having a negative impact on the quality of the analysis. While this is a good thing, this can also be a disadvantage because people skip taking proper training and start using it right away. With a friendly GUI and a minimal learning curve, it quickly became the most popular analysis software in the world. With functions like VLOOKUP, XLOOKUP, PIVOT TABLES, Index Match, and Analysis ToolPak, Excel allows you to clean, explore and visualize data. Now it comes with modern BI features that now allow you to go beyond basics and execute complex statistical analysis, formulas, power queries, and even create data visualizations. While Microsoft Excel has been around for more than 30 years (released in 1985), it has been continuously improved. The Good Access to advanced analysis features For large datasets, in order to avoid data quality issues in reporting, you should do your analysis in Python, SQL, or another appropriate language. Although Excel is a powerful tool for data analysis, it is recommended to use Excel only when working with small datasets.
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