檳榔嶼

Why visualize data?
  - what type of answer do I want to find with my data? 

What kind of visualization should you make?
  - A good visualization concludes clearly and concisely
  - Always doubt data and questions

Visualize comparisons in data
  - bar chart : data across a dimension
  - line chart : data across time
  - highlight table : use color

  - heat table : similar to highlight table, use color to group data, no need to look data in detail, only trends



Bar charts across categories : great choice across categories, simple and easy to understand


Line charts over time : 
Spark Lines for important events : high-level, low-detail line chart
  - Ignore noise, highlight peak


Gantt charts and time difference


Tree maps for long-tail data : dense data



Highlight tables and heat maps : hightlight top 5 or 10 amont plenty of data, no need to show detail


Slope charts for change between dates : concentrate on trends

Optimize dashboard layout with small multiples : easy to understand


Visualize relationships in data
  - size per point to show the quantity of each sale
  - different colors for different region
  - different shapes for different sections


Compare multiple variables within scatter plots