Visualizations/Fundamentals of DV by Claus O. Wilke3 Color Scales (source from <Fundamentals of DV by Claus O.Wilke>) ☆ THREE fundamental use cases for color in data visualizations ☆ 1. as a tool to DISTINGUISH 👐 → 'distinguishing discrete items or groups that do not have an intrinsic order, such as different countries on a map or different manufacturers of a certain product' 👉 data를 서로 구분하는 용도로 색을 쓸 때는 data 간에 내재된 순서가 없을 경우이다. 순서가 존재한다면 순서가 가까운 data 간에 좀 더 유사한 색을 부여해야 하므로 data간에 서로 영향이 없을 경우 색을 고를 때 한정한다! 👉 이럴.. Visualizations/Fundamentals of DV by Claus O. Wilke 2022. 4. 18. Coordinate Systems & Axes (source from <Fundamentals of DV by Claus O.Wilke>) *Intro "To make any sort of data visualization, we need to define position scales, which determine where in a graphic different data values are located. We cannot visualize data without placing different data points at different locations, even if we just arrange them next to each other along a line. For regular 2d visualizations, two numbers are required to uniquely specify a point, and therefo.. Visualizations/Fundamentals of DV by Claus O. Wilke 2022. 4. 9. Intro + Aesthetics, Data Type & Scales (source from <Fundamentals of DV by Claus O.Wilke>) * Intro "Data visualization is part art and part science. The challenge is to get the art right without getting the science wrong and vice versa. A data visualization first and foremost has to accurately convey the data. It must not mislead or distort. If one number is twice as large as another, but in the visualization they look to be about the same, then the visualization is wrong. At the same.. Visualizations/Fundamentals of DV by Claus O. Wilke 2022. 3. 30. 이전 1 다음
