1. Data source, authenticity.
Is important as non-authentic data sources can introduce bias into data which leads into the next q:
2. Bias of data
Relevance - data must be processed while current, must be relevant
Accuracy - Must be accurate, wrong keys being pressed could ruin data
Freedom from Bias:
Vested Interest - Asking someone who has an interest in the topic
Timing - Data provided from an airport during holiday season for example would not be accurately timed.
Sample Size - Not enough data - doesn't represent general population
Sorting - eg. Searching for an electrician, page 2 + 3 results are less likely to be chosen.
Graphical Representations - Scales must be appropriate to show distribution between data
Reliability - Data must be from reliable sources
3. Design Tools
Layout Diagram - Usually hand drawn, shows how the final solution will appear.
Storyboard - Appearance design tool, used to plan how the data-visualisation may appear/work.
IPO Chart - Input, Process, Output chart.
Flowchart - diagram in which visually presents how a program will work.
Data Dictionary - A table which shows how the fields will be configured to suit the database, or used to declare variables when coding.