✳flâneur — a map of the web's best reading
Stop aggregating away the signal in your data - Stack Overflow Blog
stackoverflow.blog · 3,317 words · saved by 6 readers
By aggregating our data in an effort to simplify it, we lose the signal and the context we need to make sense of what we’re seeing.
For five years as a data analyst, I forecasted and analyzed Google’s revenue. For six years as a data visualization specialist, I’ve helped clients and colleagues discover new features of the data they know best. Time and time again, I’ve found that by being more specific about what’s important to us and embracing the complexity in our data, we can discover new features in that data. These features can lead us to ask better data-driven questions that change how we analyze our data, the parameters we choose for our models, our scientific processes, or our business strategies. My colleagues Ian
Explore this link on the map →saved by
related reading
- From data to Viz | Find the graphic you needdata-to-viz.com
- Data Humanism - giorgialupigiorgialupi.com
- The Limits of Dataissues.org
- Making Internet Things, part 3: Storytellingpudding.cool
- Not-ignoring daylight savings time for analysiscounting-stuff.com
- Time Series - From Analyzing the Past to Predicting the Future | Towards Data Sciencetowardsdatascience.com
- Time Series Clustering - Deriving Trends and Archetypes from Sequential Data | Towards Data Sciencetowardsdatascience.com
- Location + time: urban data visualization - MORPHOCODEmorphocode.com
- How I built Timeframe, our family e-paper dashboard - Joel Hawksleyhawksley.org
- Becoming Data Driven in Business: A Series - Commoncogcommoncog.com
- Death by 10000 dashboards - by Chandra Narayananopinionatedintelligence.substack.com
- Tableau and Power BI Shouldn’t Be Your Go-to Data Analysis Tool | by Brandon @ AnalyticsMentor.io | Mediummedium.com