Published inPlotly·Sep 3, 2021Building a Big Data Geographical Dashboard with Open-Source ToolsMapping the U.S. power grid with Dash, Dask, and Datashader — 📌 Watch our previous webinar on the power grid. Author: JP Hwang Source code: https://github.com/databyjp/datashader_powergrid App: https://dash.gallery/datashader-powergrid/ Introduction Investing in infrastructure is critical for societies. Given our ever-growing need for power and more ambitious emissions reduction goals, it’s no surprise that there is significant…Data Science16 min readData Science16 min read
Published inTowards Data Science·Feb 16, 2021Member-onlyThe right data visualisation tool for the jobThoughts on a few leading data visualisation tools for all skill levels — Between visualisations, lines of code, or pieces of writing, almost everything that I create professionally is intangible. That wasn’t always the case though. I used to be a mechanical engineer back in the day, having worked on things like bridges, tall buildings and even (briefly) race cars. While I’m now…Data Science5 min readData Science5 min read
Published inTowards Data Science·Nov 18, 2020Member-onlyColourscales are everything in data visualisation – are you using them effectively?How choosing the right colour and scales can make or break your message (with examples & Python code) — You might have seen this COVID map — first reported by andishenouraee on Twitter, and then covered by the media at large. Even if you have, take another look. If you haven’t, these are choropleth maps showing Covid-19 cases per county (from July 2020) in the state of Georgia. …Programming8 min readProgramming8 min read
Published inTowards Data Science·Nov 18, 2020Member-onlyVisualising evolution of the NBA offence through dataSee the dramatic changes to the NBA offences over the last 15 years to understand its history and imagine the future. — The NBA in its early days was defined by those who could dominate near the basket. It’s no mistake that the league’s early stars were Wilt and Russell who possessed not only a bruising interior game but also tall, imposing specimen. …Sports7 min readSports7 min read
Published inTowards Data Science·Nov 2, 2020Member-onlyMad Maps – visualizing geographical data for maximum impactHow to effectively communicate data on maps for clear, insightful insights with Python (code and data included) — The U.S. presidential election is upon us again. You have no doubt had maps flood your Twitter timeline and news feeds already, and the next few weeks after Nov. 3rd will see an escalation of that. We take maps for granted these days, and it’s not difficulty to see why…Data Science10 min readData Science10 min read
Published inTowards Data Science·Oct 29, 2020Member-onlyWhat does data tell us about aging in the modern NBA?A data-driven look at how ageing affects the modern NBA. How old are the league’s best players? Are modern players getting younger? Who’s getting playing time? — As many top-level sports grew and matured from their early days of bus rides and humble paychecks into big, multi-billion dollar business over the last few decades, so has sports science. …Data Science7 min readData Science7 min read
Published inTowards Data Science·Oct 27, 2020Member-onlyThe nocode revolution is coming — are you ready for it?Predicting a paradigm shift in the (programming) world, and how to not to get left behind in its wake. — Are you a Lego fan? Lego was my first true obsession. Although I’m a recovering legoholic these days, I once had quite the collection that filled a gargantuan sack from which I could make anything. …Programming7 min readProgramming7 min read
Published inTowards Data Science·Oct 21, 2020Member-onlyBuild an awesome data science (or any) portfolio in no time with these toolsSave time & build a great looking online presence. What use do most data scientists have for raw HTML & CSS anyway? — The internet was supposed to be a democratising force. In many ways it has been. …Data Science11 min readData Science11 min read
Published inTowards Data Science·Sep 18, 2020Member-onlyLearn linear regression using scikit-learn and NBA data: Data science with sportsPractical linear regression with real-life data of NBA players with Python, visualise the outcomes & learnings (including data & code) — Data science enables many pretty amazing tasks for its practitioners, and changed our lives in many ways from small to big. …Data Science10 min readData Science10 min read
Published inTowards Data Science·Sep 6, 2020Member-onlyExplore any data with a custom, interactive web app: Data science with sportsLearn how to build an interactive, reusable web app for exploratory data analysis with leading data visualisation tools Plotly and Streamlit (data and code included) — Most good data projects start with the analyst doing something to get a feel for the data that they are dealing with. They might hack together a Jupyter notebook to look at data summaries, first few rows of data and matplotlib charts. Some might look through the data as an…Data Science10 min readData Science10 min read
