Analytics / Visualisation

R

Visualisation

• Tables https://rfortherestofus.com/2019/11/how-to-make-beautiful-tables-in-r/
• Create corporate colour palette https://drsimonj.svbtle.com/creating-corporate-colour-palettes-for-ggplot2
• Paged Reports https://pagedreport.rfortherestofus.com/
• Scrollytelling https://www.connorrothschild.com/post/automation-scrollytell/
• Animated Visuals (ggautomate) https://www.connorrothschild.com/post/tidy-tuesday-powerlifting/
• Adding design guidelines to ggplot https://github.com/Greater-London-Authority/gglaplot
• GPT chatbot to create ggplot code https://github.com/isinaltinkaya/gptchatteR

RMarkdown Outputs

• Xaringan https://github.com/yihui/xaringan
• Renderthis https://github.com/jhelvy/renderthis

Exploratory Data Analysis

• summarytools https://github.com/dcomtois/summarytools
• explore https://github.com/rolkra/explore
• dataReporter https://github.com/ekstroem/dataReporter
• RWA https://github.com/martinctc/rwa

Packages

• Copy template files from a package to project https://usethis.r-lib.org/reference/use_template.html

Other

• Create an API https://www.rplumber.io/
• Docker R Images https://hub.docker.com/u/rocker/#!
• Polished (auth layer for outputs) https://github.com/Tychobra/polished
• Diskframe (on disk dataframes): https://diskframe.com/

Learn R

• ggplot flipbook https://evamaerey.github.io/ggplot_flipbook/ggplot_flipbook_xaringan.html
• R Without Stats https://book.rwithoutstatistics.com/introduction.html
• https://clauswilke.com/dataviz

Python

• Easy JSON reading https://github.com/jmespath/jmespath.py

Exploratory Data Analysis

• SweetVis https://github.com/fbdesignpro/sweetviz
• Lux https://lux-api.readthedocs.io/en/latest/index.html

Visualisation

• Altair https://altair-viz.github.io/
• Streamlit dashboards https://streamlit.io/
• Authenticated full stack streamlit https://github.com/sapped/Authenticated-Full-Stack-Streamlit
• Mercury (Share jupyter notebooks as web app) https://github.com/mljar/mercury
• Datapane https://datapane.com/
• StreamSync https://github.com/streamsync-cloud/streamsync

Other

• Tidypolars (tidyverse syntax in python + faster than pandas): https://github.com/markfairbanks/tidypolars
• Poetry (dependency management) https://python-poetry.org/
• Architecture Diagrams: https://diagrams.mingrammer.com/
• Code snippets: https://github.com/30-seconds/30-seconds-of-code
• Python / Jupyter pipelines https://github.com/ploomber/ploomber
• Vaex (on disk dataframes): https://github.com/vaexio/vaex
• Pynomaly: https://github.com/vc1492a/PyNomaly

Learn Python

• Free books https://github.com/pamoroso/free-python-books

SQL

• Learn Postgres https://bigmachine.io/products/a-curious-moon/

Power BI

• SVG in Power BI (infographic images etc) http://hatfullofdata.blog/svg-in-power-bi-part-1/
• Tips for Power BI (DiscoverEI) - www.discoverei.com/blog/top-5-power-bi-design-tips
• Can be used for Power BI - Microsoft research no code needed https://charticulator.com/

Other

• Rollstack (Slides from BI tool) https://www.rollstack.io/

JavaScript

• idyll (scrolling visualisation) https://idyll-lang.org
• Semiotic (Netflix) https://semiotic.nteract.io
• Visx (AirBnB) https://airbnb.io/visx
• Reactvis (Uber Eats) https://github.com/uber/react-vis
• learn d3 https://wattenberger.com/blog/d3
• ScrollyTeller https://github.com/ihmeuw/ScrollyTeller
• D3 react template https://github.com/adamjanes/create-d3-app/
• Vite (replace for create react app) https://vitejs.dev/guide/
• Nivo (react / D3) https://nivo.rocks/
• React Scrollama https://github.com/jsonkao/react-scrollama
• Code snippets: https://github.com/30-seconds/30-seconds-of-code
• Observable Plots: https://github.com/observablehq/plot

Visualisation Tools / Data Platforms

• Flourish https://flourish.studio/features/
• Exploratory (base uses R) https://exploratory.io/
• RAWGraphs https://rawgraphs.io/

Visualisation Guidelines

• Google https://material.io/design/communication/data-visualization.html#dashboards
• FT https://github.com/ft-interactive/chart-doctor/blob/master/visual-vocabulary/Visual-vocabulary.pdf
• London City Intelligence https://data.london.gov.uk/blog/city-intelligence-data-design-guidelines/
• Examples in linked spreadsheet https://medium.com/nightingale/style-guidelines-92ebe166addc

Colour Palettes

• Check colour palette https://projects.susielu.com/viz-palette
• Colour Blindness (diverging / sequential) https://gka.github.io/palettes

Visualisation Blogs

• DataSketch (Nadieh Bremer) https://www.datasketch.es/
• Engaging Data https://engaging-data.com/

Data

• Public APIs https://github.com/public-apis/public-apis

Data Engineering

Learning

• Data Engineering learning https://awesomedataengineering.com/

Machine Learning / Data Science

Time Series Forecasting

• Orbit by Uber https://eng.uber.com/orbit/
• Greykite by LinkedIn https://github.com/linkedin/greykite
• Sktime https://www.sktime.org/en/latest/
• Darts https://github.com/unit8co/darts

Auto ML

• mljar https://github.com/mljar/mljar-supervised
• lazypredict https://github.com/shankarpandala/lazypredict

Model Explanation

• Lime https://github.com/marcotcr/lime
• SHAP https://shap.readthedocs.io/en/latest/index.html

Learning

• https://github.com/therealsreehari/Learn-Datascience-For-Free