In several of my earlier blogs, I demonstrated working with raw data from multiple sources to generate visual and statistical analysis. You can find them in the following posts: Let’s Play With All The Presidents (Excel)-Part1 Let’s Play With All The Presidents (Excel)-Part2 Getting To Know Our Presidents In this blog, I share the combined […]
Month: October 2020
When you’re going “blank”! (Excel, Python)
You have data (of course, you do) and you have data that have something missing (of course, you do). The question is multi-fold around that…do we ignore the data, do we remove them from your analysis, or do we interpolate to fill in the missing data? And if so, what type of interpolation is best? […]
Word Cloud III – Python & Excel together
In two my earlier blogs, I shared two methods & codes in Excel and Python on how to create Word Clouds from any text or document. You can find them here: How To Find The Most Occurring Words In A Document? (python) and Creating Word Cloud Accurately And Easily In Excel (Excel) Now, I’ll turn […]
Be the right kind of ‘Mean’
No, I’m not talking about stingy, spiteful kind…rather mathematical mean: arithmetic and statistical means to be exact. In fact, a handful of mean functions and applications. In most common situations, when we say ‘Mean’ even the statisticians mean the Average…or the arithmetic mean we all know since early childhood. We continue use it because while […]
Understanding Step Charts (and creating them in Excel)
This is an example of a Step chart: And this is a line chart of exactly the same dataset. The dataset is of daily sales amounts in a fictitious salon. Which are shown below: Which chart makes more sense intuitively? The Step chart shows exact ups and downs and exactly when they occur clearly. It […]