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How to Choose the Right Visualization for your Excel Data

Introduction Excel is the staple spreadsheet program of the business world for data recording, manipulation, and analysis. And it is also one of the best tools to generate graphs and charts for reporting. But the plethora of chart options available might be daunting for the first-time viewer: from pies and waterfalls to histograms and scatterplots, which graph should you choose and for what use cases? In this article, I will explain the four most commonly encountered datasets and

45 Analytic Techniques Used by Data Scientists

These techniques cover most of what data scientists and related practitioners are using in their daily activities, whether they use solutions offered by a vendor, or whether they design proprietary tools The 45 data science techniques   Linear Regression  Logistic Regression  Jackknife Regression * Density Estimation  Confidence Interval  Test of Hypotheses  Pattern Recognition  Clustering - (aka Unsupervised Learning)

Saurabh Jain

Saurabh Jain

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