1. Data
1.1. Types
1.1.1. Numeric
1.1.1.1. Real
1.1.1.2. Integer
1.1.2. Categorical
1.1.2.1. dichotomous
1.1.2.2. polytomous
1.1.2.2.1. nominal
1.1.2.2.2. ordinal
1.1.3. Logical
1.1.4. String
1.1.5. Date
1.2. Structures
1.2.1. Table
1.2.1.1. the DataFrame
1.2.1.1.1. Raw data
1.2.1.1.2. Frequency Tables
1.2.1.1.3. Contingency Tables
1.2.1.2. Insight from
1.2.1.2.1. Univariate Behavior
1.2.1.2.2. Association
1.2.1.2.3. Complex Association
1.2.2. Map
1.2.2.1. spatial layers
1.2.2.2. Insight from
1.2.2.2.1. Distance
1.2.2.2.2. Location
1.2.2.2.3. neighborhood
1.2.3. Graph
1.2.3.1. networks
1.2.3.2. Insight from
1.2.3.2.1. Position of influence
1.2.3.2.2. Communities
1.2.4. Text
1.2.4.1. Text Analytics
1.2.4.2. Insight from
1.2.4.2.1. Similarity
1.2.4.2.2. Salience
1.2.4.2.3. Meaning
2. Objects / Marks / Geometries
2.1. **DOTS**
2.2. LINES
2.3. POLYGONS / CIRCLES
3. Plot Components
3.1. Title
3.1.1. Main: "The title is the answer"
3.1.2. Sub: Just for the specifics (place, time, etc)
3.2. Axes
3.2.1. Includes Zero?
3.2.1.1. Always in bars
3.2.1.2. May be optional in lines
3.2.2. Units of measurement
3.2.3. annotations might make them irrelevant
3.2.3.1. benefit data-to-ink ratio
3.3. Caption
3.3.1. Source: cite!
3.3.2. Some technical notes
3.3.2.1. for example:
3.4. Annotations
3.4.1. not for all values
3.4.2. a tool for focus
3.4.3. can be
3.4.3.1. text
3.4.3.2. line
3.4.3.3. rectangle
3.4.3.4. picture
3.5. Background
3.5.1. Grid
3.5.1.1. complexity
3.5.2. Margins
3.5.2.1. flexibility
3.6. Legend
3.6.1. helps
3.6.2. not much help