Daily Video #1

• Source
• tools to analyze data
• How much data can you get from it
• Might need multiple processors

Potential bias

• Could be intentional bias
• Is there a Agenda?
• How was the data collected

Data Cleaning

• Modify or replace dirty data
• Identify data and know the context
• Bias can accidently creep in from cleaning

Daily Video #2

Meta Data

• Data about data
  • Author
  • location
  • Size
  • etc.
• Can be used to organize inventory or suggest things that are related

Finding patterns

• Can be mislead by trends or patterns