Exploratory Data Analysis (EDA) is where the magic happens in any data science project. It’s all about diving into your data and discovering the hidden stories it holds. In this article, I’ll show you how to transform raw numbers into beautiful, insightful visuals. These graphs will help you see patterns, relationships, and anomalies in a whole new light, making data analysis not just insightful but also enjoyable. Get ready to see your data come to life!
FIRST CHART: Pie charts are criticized because we are not good at visualizing area differences, making them difficult to read. How about making it even harder by using nearly the same color for each part?
SECOND CHART: Two why axis, this is a classic! Didn’t get the interpretation you wanted? Just change the scale, and you can reach any conclusion!
THIRD CHART: It looks nice, but I doubt anyone can draw any conclusions just by glancing at it. But so what? It’s not like a chart is supposed to generate insights visually, right?
FOURTH CHART: If my brother told me that my 10-year-old nephew made this, I would believe it!
FIFTH CHART: The chart of that professional who bought the “become a data analyst in 90 days” course.
SIXTH CHART: Okay, what about the axes? And that’s just one of the problems…
SEVENTH CHART: Making 77% look like the double of 65%!
EIGHTH CHART:
Boss: Let’s try to be more creative in our presentations!
Data Analyst: I just had a great idea!
Hope you enjoyed this lesson!
