1.1 Exploring Data Visually
Build a solid foundation in data analysis with visualizations and data transformations.
Visualizing Data
Practice Visualizing Data
Observing Relationships
Practice Observing Relationships
Analyzing Continuous Variables
Practice Analyzing Continuous Variables
Using Percentiles
Practice Using Percentiles
Making Comparisons
Practice Making Comparisons
Filter Data
Practice Filter Data
Group and Aggregate Data
Practice Group and Aggregate Data
Transform Data
Practice Transform Data
Explore Relationships
Practice Explore Relationships
Compare Distributions
Practice Compare Distributions
Analyze Time Series
Practice Analyze Time Series
Course description
Answer data analysis questions with summary statistics from visualizations such as box and whisker plots, line graphs, scatterplots, bar charts, and histograms. Apply data transformations such as filter and groupby to analyze data. Use visualizations to represent and communicate about data effectively. Decide which plot type to use based on the data type that you have. Learn when and how to implement logarithmic scales (as opposed to linear ones) to best represent the story your data tells.
Topics covered
- Bar charts
- Pie charts
- Line graphs
- Scatterplots
- Histograms
- Box and whisker plots
- Linear and Logarithmic scales
- Summary statistics
- Distributions
- Filter
- Groupby
- Aggregate
Prerequisites and next steps
You should be comfortable with calculating percentages. Knowledge of how to calculate the mean, median, and mode is beneficial though it is covered briefly in the course.
Up next
1.2 Case Study: Unlocking Rental Value on Airbnb
In this case study for Exploring Data Visually, you’ll use visualizations to analyze Airbnb data and find the best neighborhoods to buy a rental property.
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