David Kativu, creative director at Hot Neon Learning, speaks to the crowd at YYC DataCon. – Photo by Paulina Ochoa, Digital Journal David Kativu, creative director at Hot Neon Learning, speaks to the ...
Have you ever stared at a bland spreadsheet, wondering how to make your data truly stand out? In a world where visuals speak louder than numbers, creating charts that are both informative and ...
Python is great for data exploration and data analysis and it’s all thanks to the support of amazing libraries like numpy, pandas, matplotlib, and many others. During our data exploration and data ...
Overview: Matplotlib mistakes often come from poor layout, unclear labels, and wrong scale choices, not from the data itself.Clear plotting improves when scatte ...
In my 20 years of experience, I've seen how data centralization and visualization can support strategic decision making by making complex data from multiple sources clear and easy to interpret. This ...
Today, companies track everything — sales figures, customer behavior, marketing performance — yet one of the most important factors in success often goes unmeasured: the decisions themselves. We ...
When “data scientist” was coined in the 1960s, the role focused on pattern recognition to extract insights from data. Today, the amount of data has grown so substantially that we developed more ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback