Exploring Data Visually

Build a solid foundation in data analysis with visualizations and data transformations.

29 Lessons32 Practice

Level

1

Reading Bar Charts

Practice Reading Bar Charts

Analyzing Bar Charts

Practice Analyzing Bar Charts

Pie Charts

Practice Pie Charts

Histograms

Practice Histograms

Percentiles

Practice Percentiles

Level

2

Boxplots

Practice Boxplots

Comparing Boxplots

Practice Comparing Boxplots

Seasonal Variation

Practice Seasonal Variation

Level

3

Line Graphs

Practice Line Graphs

Trends

Practice Trends

Comparing Trends

Practice Comparing Trends

Level

4

Observing Relationships

Practice Observing Relationships

Reading Scatter Plots

Practice Reading Scatter Plots

Log Scales

Practice Log Scales

Comparing on Log Scales

Practice Comparing on Log Scales

Level

5

Data Tables

Practice Data Tables

Filtering with Logic

Practice Filtering with Logic

Filters with Inequalities

Practice Filters with Inequalities

Grouping Data

Practice Grouping Data

Grouping and Filtering

Practice Grouping and Filtering

Drawing Conclusions

Practice Drawing Conclusions

Transforming Data

Practice Transforming Data

Counting Cafes

Practice Counting Cafes

Level

6

Best Property Type

Rental Rate Recommendation

Best Neighborhood

Level

7

Peak Seasons

Ratings

Guest Reviews

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.

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