How I Approach New Datasets (5 THINGS TO LOOK OUT FOR)
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https://mochen.info
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Hi, I'm Mo! I'm a Data & Analytics Manager. I'm all about turning complex, big data into insights and actions. I am not interested in building yet another dashboard that nobody looks at - I'm interested in solving the most challenging business problems using data.
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VIDEO SUMMARY
I’ll walk you through the 5 areas that you should definitely consider when you’re faced with a new dataset. These 5 areas include Content & Relevance (e.g., Where's the data coming from, Any potential data biases?), Data Quality (e.g., missing values, duplicates), Data Structure & Types, Outliers (e.g., minimum, maximum), Data Distribution and Summary Statistics (e.g., mean, median, mode, histogram). I’ll give you practical examples using a Google Play Store dataset.
TIMESTAMPS
00:00 Overview: Tooling (Excel, Python), Dataset
01:20 Check 1
01:53 Check 2 (with Practical Example)
05:34 Check 3 (with Practical Example)
09:39 Check 4 (with Practical Example)
12:05 Check 5 (with Practical Example)
PROJECT FILES
Kaggle dataset link ➡ https://www.kaggle.com/datasets/lava1...
GitHub repo ➡ https://github.com/mochen862/new-data...