Coursework for Data Visualization using Tableau (Coursera-Specialization)
Data Visualization is the use of visual representation to explore,make sense of and communicate data.
It is the term used to describe a set of tools and techniques(such as queries and reports) used to convert data from various databases into meaningful information.
- Tables:- Conveys lot of information
- Heat Map :- Uses color to visually emphasize
- Scatter plots :- Best for continuous variable
- Line Graphs :- Visualize data across time
- Bar Graphs :- Most Effective
- Waterfall :- Type of Bar Graph used to see answers quickly
- Maps :- Crucial for spatial analysis
- Pie Charts :- Has a bad reputation & useful in certain specific instances.
- Size
- Orientation
- Line Composition
- Intensity
- Color
- Shape
- Enclosure
- Position
Three componenets of a KPI are
- It must be crucial or key
- It must be measurable
- It must have some calculation
- Choose metrics focused on why they matter
- Keep it Visual
- Make it interactive
- Keep the data up to date
- Make it simple to access and use
- Avoid Mistakes.
- Trends
- Rank Ordering
- Comparisons
- Counterintuition
- Relationships
- Check your facts
- Focus on one key statistic to become focal point
- Convert data into visual form
- Present insights from the data
- Make facts relatable using a representative.