Season
Season 1 Episode
- Season 1 What Is Statistics
- Season 1 Mathematical Thinking
- Season 1 Mean, Median, and Mode: Measures of Central Tendency
- Season 1 Measures of Spread
- Season 1 Charts Are Like Pasta - Data Visualization Part 1
- Season 1 Plots, Outliers, and Justin Timberlake: Data Visualization Part 2
- Season 1 The Shape of Data: Distributions
- Season 1 Correlation Doesn’t Equal Causation
- Season 1 Controlled Experiments
- Season 1 Sampling Methods and Bias with Surveys
- Season 1 Science Journalism
- Season 1 Henrietta Lacks, the Tuskegee Experiment, and Ethical Data Collection
- Season 1 Probability Part 1: Rules and Patterns
- Season 1 Probability Part 2: Updating Your Beliefs with Bayes
- Season 1 The Binomial Distribution
- Season 1 Geometric Distributions and The Birthday Paradox
- Season 1 Randomness
- Season 1 Z-Scores and Percentiles
- Season 1 The Normal Distribution
- Season 1 Confidence Intervals
- Season 1 How P-Values Help Us Test Hypotheses
- Season 1 P-Value Problems
- Season 1 Playing with Power: P-Values Pt 3
- Season 1 You Know I’m All About that Bayes
- Season 1 Bayes in Science and Everyday Life
- Season 1 Test Statistics
- Season 1 T-Tests: A Matched Pair Made in Heaven
- Season 1 Degrees of Freedom and Effect Sizes
- Season 1 Chi-Square Tests
- Season 1 P-Hacking
- Season 1 The Replication Crisis
- Season 1 Regression
- Season 1 ANOVA
- Season 1 ANOVA Part 2: Dealing with Intersectional Groups
- Season 1 Fitting Models Is like Tetris
- Season 1 Supervised Machine Learning
- Season 1 Unsupervised Machine Learning
- Season 1 Intro to Big Data
- Season 1 Big Data Problems
- Season 1 Statistics in the Courts
- Season 1 Neural Networks
- Season 1 War
- Season 1 When Predictions Fail
- Season 1 When Predictions Succeed
Crash Course Statistics - Season 1 Episode 5 Charts Are Like Pasta - Data Visualization Part 1
2.00 13 minutes Today we're going to start our two-part unit on data visualization. Up to this point we've discussed raw data - which are just numbers - but usually it's much more useful to represent this information with charts and graphs. There are two types of data we encounter, categorical and quantitative data, and they likewise require different types of visualizations. Today we'll focus on bar charts, pie charts, pictographs, and histograms and show you what they can and cannot tell us about their underlying data as well as some of the ways they can be misused to misinform.
