Learn how to set standard chart graphics—legend, annotation, and labels.
- [Lecturer] Labels and annotation add a deeper layer…of context to a plot, enabling the plot…to convey extra meaning to its viewers.…In this section I'm going to show you…how to label plot features,…add a legend to your plot…and annotate features on your plot.…But before that, let me give you an example…where this comes in handy.…Data journalists often add a lot of context and annotation…to their data visualizations…in order to add and augment the story they're telling.…For example, imagine you're a data journalist…covering a story of tourism in Central Florida.…
You'd use a simple line chart to show…the number of travelers over time,…but if you're telling a story about the success…of a grand opening of a new theme park…you may want to add some text about how many visitors…came to the grand opening.…You then also may want to add a pointer…that ties that text into the date…of the park's grand opening.…There are two methods for labeling and annotating.…Again, the functional method…and the objected-oriented method.…
AuthorLillian Pierson, P.E.
- Getting started with Jupyter Notebooks
- Visualizing data: basic charts, time series, and statistical plots
- Preparing for analysis: treating missing values and data transformation
- Data analysis basics: arithmetic, summary statistics, and correlation analysis
- Outlier analysis: univariate, multivariate, and linear projection methods
- Introduction to machine learning
- Basic machine learning methods: linear and logistic regression, Naïve Bayes
- Reducing dataset dimensionality with PCA
- Clustering and classification: k-means, hierarchical, and k-NN
- Simulating a social network with NetworkX
- Creating Plot.ly charts
- Scraping the web with Beautiful Soup
Skill Level Beginner
1. Data Munging Basics
2. Data Visualization Basics
3. Basic Math and Statistics
4. Dimensionality Reduction
Explanatory factor analysis6m 39s
5. Outlier Analysis
6. Cluster Analysis
7. Network Analysis with NetworkX
8. Basic Algorithmic Learning
9. Web-based Data Visualizations with Plotly
10. Web Scraping with Beautiful Soup
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