Excel Analysis Toolpak

Running Statistical Data Analysis (EDA) using Excel Functions and Formulas.

Back in August Microsoft made a momentous announcement of good ole’ Excel now supporting Python scripts (at least for those Office 365 subscribers who are part of the Beta Insider channel.) While this functionality brings an array of virtually unlimited possibilities to an already powerful tool, many analysts recognize that support for various statistical analysis techniques is one of the most promising areas to capitalize here. Having said that, some users do not realize that they don’t need to leverage sophisticated Python functions to conduct exploratory data analysis of their datasets – they can instead install Excel add-in called “Analysis Toolpak” to get them started on their statistical learning journey. In this post we will use this tool to analyze weight distribution of players appearing on the 2023/24 Chicago Bears Roster. These summary statistics will help us get a quick overview of this dataset, and in turn, make it easier for us to spot patterns and outliers. We will then recreate these capabilities via Excel functions and formulas.

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US COVID-19 Cases

During these uncertain times, how can you make sense of the data tsunami being presented on the state of pandemic in US? For the last couple of months, many Americans found themselves checking the spread of COVID-19 cases on a daily basis. As most of US states went into shelter-in-place mode, resources like Johns Hopkins and 91-DIVOC became a daily refuge for those seeking to stay informed. In today’s post, we will work on creating our own version of a web-based, interactive and visually appealing COVID-19 dashboard using Google DataStudio. Doing so we will gain a better understanding of the data used, decide on the type of data we deem most relevant, and maintain control over the best ways to visualize such data to help our audience make most sense of it. In the process of building this data viz, we will utilize various objects and features of the mighty GDS application: Google Sheets connector, Calculated fields, Scorecard, Table, Geo Map, Line and Combo charts, Date range, Filter controls and recently released optional metrics – are some but not all features we will cover.

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How to pass an analytics job test – Part II – MS Excel.


How to pass an analytics job test - Part II - Microsoft Excel

          Even with the rise of use of R, Python, SAS and other more scientific analytical tools, Microsoft Excel remains the most popular data analysis tool. While we have gone over a solution for an analytics job test in SQL last month , you are much more likely to encounter a job test in Microsoft Excel for your next analytics opportunity. While I would personally argue that this particular test is actually better solved with SQL, the employer believes that the applicants instead need to apply their Excel skills to demonstrate their proficiency and acumen. As before, we should start by asking questions about the problem at hand and trying to get as much clarification as needed or state our assumptions. However, since spreadsheets are less forgiving from the presentation point of view than the databases, I would strongly recommend that we would also take a few minutes to format any workbooks provided by the prospective employer. Chances are they would recognize your level of professionalism by looking at clean and presentable file. Your stylistic preferences might be different, but as a minimum I would remove gridlines, add filters/format as tables larger datasets, freeze panes, and add at least one to two colors to the otherwise monochrome layout.

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Microsoft Excel personal macro workbook.


Personal Macro Excel Workbook

          We have already explored different Excel VBA macros here, here, and here, . While the power of Excel VBA is limited only by our creative imagination, the real limitation of a typical VBA code comes from the fact that it resides in the workbook where it was saved, and as such, can only be revoked while this file is open. This is where the personal macro workbook comes into play: if we save our code in this centralized place, we could use it in any Excel workbook on our local drive. This productivity hack would help us perform repetitive tasks (formatting and data presentation pet peeves, anyone) by automating them. The easiest way to save your code into PERSONAL.XLSB workbook is through recording a macro.

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