Gain the skills to transform data into stories, using the DIKW pyramid and the Altair Python library.

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Tool Z Familiarity

Altair, a versatile Python library, empowers you to craft visually compelling and interactive data visualizations. Acquiring proficiency in Altair unlocks new avenues for effectively conveying insights and narratives through data.

The course begins by introducing the concept of data storytelling and the DIKW pyramid. Then, you’ll learn why Altair is a valuable tool for developers interested in data storytelling and how it can enhance their ability to effectively communicate complex ideas. Next, the course takes a sequential approach to cover the DIKW model for data storytelling, which provides a structured framework for organizing and presenting data narratives. Finally, you’ll implement two practical use cases.

After taking this course, you’ll have acquired the skills and knowledge to build compelling data stories that combine Altair and the DIKW pyramid. You will be able to create engaging and impactful visualizations that effectively convey insights and build narratives from data.

Using Python Altair for Data Storytelling

The code draws a line chart showing each continent's gold medals.

The code uses the `transform_aggregate()` method to count the gold medals by continent.

The variable `total_gold_medals` is available in the original dataset.

The code draws a bar chart showing each continent's total number of gold medals.

**(Select all that apply.)** Which statements are true about the following code snippet? 

`chart = alt.Chart(df).mark_bar().encode(
  y = alt.Y('Continent'),
  x = alt.X('total_gold_medals:Q'),
).transform_aggregate(
    total_gold_medals='sum(Gold Medals)',
    groupby=['Continent']
)`

(Select all that apply.) Which statements are true about the following code snippet?
<code>chart = alt.Chart(df).mark_bar().encode( y = alt.Y('Continent'), x = alt.X('total_gold_medals:Q'), ).transform_aggregate( total_gold_medals='sum(Gold Medals)', groupby=['Continent'] )</code>

It orders the column `Gold Medals` by decreasing values.

It orders the `Country` column by decreasing values of `Gold Medals`.

What does the following code snippet do?

`alt.Chart(df).mark_bar().encode(
    y = alt.Y('Country', sort='-x'),
    x = 'Gold Medals' 
)`

What does the following code snippet do?
<code>alt.Chart(df).mark_bar().encode( y = alt.Y('Country', sort='-x'), x = 'Gold Medals' )</code>

Summarizing data using specific calculations

What is binning in the context of data visualization?

What is binning in the context of data visualization?

`chart = alt.Chart(df).mark_bar().encode(
  x = alt.X('Country', axis=alt.Axis(grid=False)),
  y = alt.Y('Gold Medals', axis=alt.Axis(grid=False)),
)`

`chart = alt.Chart(df).mark_bar().encode(
  x = alt.X('Country'),
  y = alt.Y('Gold Medals'),
  grids = None
)`

`chart = alt.Chart(df).mark_bar(grids=None).encode(
  x = alt.X('Country'),
  y = alt.Y('Gold Medals')
)`

`chart = alt.Chart(df).mark_bar().encode(
  x = alt.X('Country', axis=alt.Axis(grid=None)),
  y = alt.Y('Gold Medals', axis=alt.Axis(grid=None)),
)`

Which option removes a grid from a chart?

Which option removes a grid from a chart?

Test yourself on the concepts introduced in this chapter. 

What is Data Storytelling?

Using Altair for Data Storytelling

The DIKW Pyramid

Introducing the Concept of Data

Getting Familiar with Unknown Data

Assessment 1

Introducing the Concept of Information

Data Modeling

Knowledge

Wisdom

Assessment 2

Case Studies

Wrap Up

Appendix

Quiz: Concept of Information