01#DataViz

Andre Vianna
My Data Science Journey
6 min readNov 24, 2021

Data Visualization Inspiration

Introduction

Data visualization (often abbreviated data viz) is an interdisciplinary field that deals with the graphic representation of data. It is a particularly efficient way of communicating when the data is numerous as for example a time series.

From an academic point of view, this representation can be considered as a mapping between the original data (usually numerical) and graphic elements (for example, lines or points in a chart). The mapping determines how the attributes of these elements vary according to the data. In this light, a bar chart is a mapping of the length of a bar to a magnitude of a variable. Since the graphic design of the mapping can adversely affect the readability of a chart, mapping is a core competency of Data visualization.

Data visualization has its roots in the field of Statistics and is therefore generally considered a branch of Descriptive Statistics. However, because both design skills and statistical and computing skills are required to visualize effectively, it is argued by some authors that it is both an Art and a Science.

Research into how people read and misread various types of visualizations is helping to determine what types and features of visualizations are most understandable and effective in conveying information.

Space Junk

Leaps in Space

If On a Winter’s Night a Traveler

LGBT: Unprotected by Law

The Globe of Economic Complexity

Provided by the Center for International Development at Harvard University

The Globe of Economic Complexity dynamically maps all countries’ traded commodities, their volumes and export destinations, and allows users to navigate export networks and intricate connections between products. The tool utilizes novel web technologies (WebGL) and design to visualize trade flows as 3-d “confetti,” with the ability to morph into bar charts, compounded country textures, and node-link diagrams.

http://globe.cid.harvard.edu/

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Andre Vianna
My Data Science Journey

Software Engineer & Data Scientist #ESG #Vision2030 #Blockchain #DataScience #iot #bigdata #analytics #machinelearning #deeplearning #dataviz