Skip to main content
grasp.study
About
Explore
Pricing
Log in
Try it for free
Back to course
👋
Welcome to a Grasp lesson
Create a free account
to keep studying and create your own study path.
Foundations of Statistics and Data
·
Module 4
Exploratory Data Analysis and Visualization
1
Frequency Distribution Tables
Construct and interpret frequency distribution tables from raw data.
2
Bar Charts & Histograms: Visualizing Data
Create and interpret bar charts for categorical data and histograms for quantitative data.
3
Boxplots: Visualizing the Five-Number Summary
Construct and interpret a boxplot using the five-number summary.
4
Outlier Detection with IQR and Boxplots
Use the IQR method with a boxplot to identify potential outliers in a dataset.
5
Kernel Density Estimation: A Smoothed Histogram
Explain the concept of kernel density estimation (KDE) as a smoothed alternative to histograms.
Visualizing Data Variables
For a given dataset, select and create appropriate visualizations for each variable.
Previous module
Descriptive Statistics: Position, Shape, and Outliers
Next module
Analyzing Relationships Between Variables