dis-code-or-no-code

Dataset: Taxi trip data NYC

• 20 mins intro
• 30 mins no code practical
• 30 mins code practical
• 10 mins wrap

20 mins intro talk

With both examples we will carry out like for like tasks in Excel and with python.

• Filling in missing values

• Removing incorrect values

• Formatting dates

• Filtering data

• Producing summary statistics

• Transformation of data

• (Resampling etc monthly totals)

• Introduction to tabular data

• No code tools for handling data

  • Excel/Google Sheets
  • PowerBi

• Code options for handling tabular data

  • Python
  • R
  • Other

Session 1 Files link https://tinyurl.com/to-code-one https://1drv.ms/f/s!Aih6bFtYB2QLaxYmXdOemKXsUHk?e=BfctY6

Session 2 Files Link https://tinyurl.com/to-code-two https://1drv.ms/f/s!Aih6bFtYB2QLbNB697KGg68HkFA?e=X9C87V

Tasks

• Create spreadsheets containing initial data
• Littlest jupyter hub setup - 1 VM
  • Set default markdown viewer to preview
  • Setting New Default JupyterLab Settings
• Things to do if people complete the main task