Generally, you can impute missing values by column average, median, most frequent value, and k-nearest neighbourhood (k-NN). Missing values could have a significant effect on your outputs, it typically occurs when a cell doesn't have a value (when it is required) or the value is represented by NA, NaN, Null etc. It is common that you might have more than one spreadsheet in an Excel file, therefore, by ordering spreadsheets in a way that matches the order in your process could help you locate information more easily and will also be beneficial to your collarators. Having a suitable data type for each column help to maintain the consistence of column values and help you to avoid unsuitable graphs. There are over ten different data types available (Microsoft are expanding this to more than 100!) and Excel will interpret each type differently. No matter what kind of tools you want to use, there are some questions you need to ask yourself before creating visualisations. What steps could we take to make better data visualisations with excel? Note: All graphs/charts below are created using Excel 2016. So that you can create some visualisations in minutes, providing you have the right data structure for chosen charts. Additionly, Excel has substantial number of graphs and charts under the hood Makes calculations straight-forward and simple. Graphics interface and useful documentations/hints, and the graphical representation of data and built-in mathematical formulas That automates repeated tasks, this script often called a macro - a series of instructions. Microsoft built Visual Basic forĪpplication (also known as VBA, derived from the programming language Visual Basic) into Excel that allows you to write scripts Excel has been the industry standards for spreadsheet since 1993 and commonly used forĬalculations, creating graphs and charts, and pivoting tables. Microsoft Excel is a well-known spreadsheet developed by Microsoft for platforms like Windows, macOS, and
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