Some tools that make my job as an analyst a little easier.

Tool guides
Excel shortcuts
Big list of useful shortcuts for Excel
Data gathering
Websites to get data from:
- https://www.gov.uk/government/statistical-data-sets
- https://www.data.gov.uk/
- https://data.gov.scot/
- https://www.ons.gov.uk/
- https://yougov.com/
- https://www.pewresearch.org/
- https://www.kaggle.com/
- https://www.geopostcodes.com/
Data cleaning
NimbleText
Quick in-browser text manipulation: add line numbers, remove empty lines, add prefixes, remove smart quotes, etc. The paid, downloadable version is well worth it too.
Data visualisation
Datawrapper
Make charts in the browser. Also has an API/python library for making charts
Choosing colours
datawrapper blogs: color in data vis
A group of blog posts about data vis colours, well worth checking out before planning a colour scheme.
Coolers
A website for generating colour schemes that work
Colorbrewer
Colour pallets for maps
Color-blindness simulator
Upload an image to check how legible it will be for users with colour blindness
color oracle
Program that applies a full screen filter to simulate colour blindness
Data visuals in action
Datawrapper: weekly charts
Datawrapper make a new chart every week and tell us about the information
Datawrapper: vis dispatch
Datawrapper also share the new charts they find in the wild that impress them
Books and learning
Hands on data viz
Book by Jack Dougherty & Ilya Ilyankou, can be read online
Fundamentals of Data Visualization
Book by Claus O. Wilke, can be read online
Statistics by Jim
Blog and books by Jim Frost - good posts about data types and statistics
Teaching statistics resources
A wonderful compilation of learning resources sourced by Nicola Rennie
Calculator soup
A range of calculators for many uses, with their algorithms explained with examples
Maths symbols list
A table of mathematical symbols and their meanings
Maths is fun : maths tools
A list of useful maths tools with a Data section for stddev and correlation measurements
The data fundamentals
NEVER:
- Jump to conclusions
- Fall in love with your first hypothesis
- Ignore data that doesn’t fit
- Avoid ever saying ‘I don’t know’
- Forget the human element in data
