Exploring Data Visually
Build a solid foundation in data analysis with visualizations and data transformations.
Reading Bar Charts
Analyzing Bar Charts
Pie Charts
Histograms
Percentiles
Boxplots
Comparing Boxplots
Seasonal Variation
Line Graphs
Trends
Comparing Trends
Observing Relationships
Reading Scatter Plots
Log Scales
Comparing on Log Scales
Data Tables
Filtering with Logic
Filters with Inequalities
Grouping Data
Grouping and Filtering
Drawing Conclusions
Transforming Data
Counting Cafes
Best Property Type
Rental Rate Recommendation
Best Neighborhood
Peak Seasons
Ratings
Guest Reviews
Up next
Probability in Data
Build a foundation in probability to better understand the likelihood of events.
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.