is the presentation of data sets through the use of tables graphs or charts.
Data visualization
It aims to show how data is part of a whole.
- Pie or Donut Chart
- Stacked Column Chart at 100%
- Stacked area chart at 100%
- Waterfall chart
Composition
To show the dependence between two or more data sets.
* Line Chart
* Column Chart
* Bar Chart
* Two-Axis Chart
Comparison
To show common items subdivided across several categories or features.
* Line Chart
* Column Chart
* Scatter Plot
* Two-Axis Chart
Distribution
To show implicit relationship between data or variables.
* Scatter Plot
* Bubble Chart
* Two-Axis Chart
Relationship
Four main members of your audience
Doers
Suppliers
Influencers
Innovators
Be Concise
- Declutter your charts
- Simplicity is a key
- Maximize chart titles
Prepare the Content
- Format numbers
- Data tables
- Sort data
Establish Context
- Use the proper type of chart
- Use a reasonable aspect ratio
- You can use more than one chart
Who you are in the presentation?
○ The credible and trustworthy source of information
Who they are?
Who they are:
○ The suppliers, doers, innovators, and influencers
is what you do to understand the data and figure out what might be noteworthy or interesting to highlight
to others.
Exploratory analysis
When we’re at the point of communicating our analysis to our
audience,
- meaning you have a specific thing you want to explain, a specific story you want to tell.
Explanatory Analysis
○ refers to the proportional relationship between the width and height of a
visualization.
★ Aspect Ratio
○ Ethical data visualization ensures that the visual elements do not exaggerate or downplay the data’s significance.
★ To inform, not mislead
○ Data visualizations can imply trends or relationships that may not exist if not
presented carefully.
★ Trends and Assumptions
○ It acknowledges that data might not tell the whole story and encourages the
audience to seek the broader context when making conclusions.
★ Context and the bigger picture
- Audience should learn something from you
- Provide the information to make that decision
Urge Them to Decide
