Category: Data Analytics
How to Write Null and Alternative Hypotheses
How to Write Null and Alternative Hypotheses
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When to Use t-test versus Correlation in Data Analysis
Since both correlation and t-test are about relationships between X and Y, what is the difference between them and when do you use t-test (or correlation)? This tutorial aims to answer these two questions. The following figure presents the difference...
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Difference between Scatter Plots and Line Charts in Python
This tutorial explains the difference between scatter plots and line charts in data visualization. I will use actual data and Python code to illustrate the nuanced difference between them. Data is pulled from Github. It includes keywords of Peloton and...
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Data Analytics: A Beginner’s Guide
The current article focuses on the connections and differences between data analysis, data analytics, and data science. It covers the differences in the requirement of programming language, level of statistical knowledge, and involvement in computer science.
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Use t-test to Analyze Financial Well-being Data
Introduction Since we have covered the theoretical basics of t-test (see the tutorial here), it would be interesting to showcase how we can use t-test for a real-world application. In particular, we are going to use Financial well-being survey data to show...
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Use sklearn for Logistic Regression In Python
This tutorial shows how to use sklearn for logistic regression in Python. Logistic regression is a model testing the relationship between Y (which is as a binary variable) and X (X can be more than one). logistic regression is also called logit regression....
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