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### Data-Driven Thinking for Everyday Life

Gary Wolf talks about what The Quantified Self is, why self-tracking projects can be life-changing, how to get started with self-tracking, and how to connect with others.

### Reshaping Data with pandas in Python

Pandas DataFrames are commonly used in Python for data analysis, with observations containing values or variables related to a single object and variables representing attributes across all observations.

### Reshaping Data with tidyr in R

In this cheat sheet, you will learn how to reshape data with tidyr. From separating and combining columns, to dealing with missing data, you'll get the download on how to manipulate data in R.

### Data Quality Dimensions Cheat Sheet

In this cheat sheet, you'll learn about data quality dimensions, allowing you to ensure that your data is fit for purpose.

Joe Franklin

3 min

### Top Techniques to Handle Missing Values Every Data Scientist Should Know

Explore various techniques to efficiently handle missing values and their implementations in Python.

### T-tests in R Tutorial: Learn How to Conduct T-Tests

Determine if there is a significant difference between the means of the two groups using t.test() in R.