#streamgraphics

[avaartist]

Make your stream stand out with overlays!

[kp777]

Visualized: Global CO2 Emissions Through Time (1950–2022)

[alfieshaw]

Data Visualisation

 https://www.tableau.com/en-gb/learn/articles/data-visualization

‘’Data visualisation is the graphical representation of information and data. By using visual elements like charts, graphs and maps, data visualisation tools provide an accessible way to see and understand trends, outliers and patterns in data.’’

Our eyes are drawn to colours and patterns. We can quickly identify red from blue, square from circle. 

Data visualisation is another form of visual art that grabs our interest and keeps our eyes on the message. When we see a chart, we quickly see trends. If we can see something, we internalise it quickly.

Common general types of data visualisation:

Charts

Tables

Graphs

Maps

Infographics

Dashboards

Area chart

Bar chart

Box-and-whisker plots

Bubble cloud

Bullet graph

Cartogram

Circle view

Dot distribution map

Gantt chart

Heat map

Highlight table

Histogram

Matrix

Network

Polar area

Radial tree

Scatter plot (2D or 3D)

Streamgraph

Text tables

Timeline

Treemap

Wedge stack graph

Word cloud

It seems that it is important to have strong contrasts in the presentation of data so it is easy for a viewer to decode information and differentiate between the keys.

[danamucci]

Screen Commission for https://www.twitch.tv/jellydoughnut__ !

[twitchoverlays]

🌌 Nebula 🌌 ⭐ Twitch animated overlay package. ⭐ Contains animated alerts, screens, stinger transition, webcam overlays, panels and more! ⭐ Take your streaming channel to the next level with this galaxy themed overlay pack. ⭐ Available at my gumroad shop for streamers.

[laavka]

Selling a snowstorm sivir pack! :) individual prices can be found on my website. Let me know if you’re interested! Reblogs appreciated ♥

——————————————————————–

COMMISSIONS OPEN! Message me for info :)

Feel free to follow me elsewhere ♥♥

Facebook // Deviantart // Twitter // Website

[make86]

Some of my Overlay’s, If you have and idea for your own Stream overlay, be sure to tell me and we can make you  one for free. 

[uncoatedletters]

[jugal1987]

https://www.eduforbetterment.com/stream-graph-in-angular-using-highchart/ Learn how to draw the stream graph in Angular #angular #angular10 #highchart #streamgraph

[geosophy]

The staple @FT #StreamGraph morphs from #DeathFunnel to wineglass, but… do we really believe this is its shape yet? It has a nose of Anglo American sample bias and finishes lean for lack of #ExcessDeath. @sdbernard 4/28/20

[datarep]

Streamgraph showing distribution of global Covid-19 deaths as total surpasses 1 million

[richmondflyingsquirrels]

made an interactive streamgraph for my datavis project...feelin proud tbh

[goodgodfather]

#Justfinished #myfirstblenderanimation @blender.official #blenderrender #menorah #tabernacle #tabernacleofglory #tabernacleofdavid #tabernacleofpraise #goldenaltar #arkofthecovenant #scroll #scrollofisaiah #isaiahscroll #blenderanimation #cyclesrender #rendercycles #diyartist #diyartistofinstagram #diyartistsofinstagram #artistsofinstagram #blenderartist #blenderdesign #project314 #andrewhoy #streamelements #twitchstreamelements #streamgraphics #streamelementdesign #blenderstreamgraphics https://www.instagram.com/goodgodfather/p/CXYNwGOLOrV/?utm_medium=tumblr

[courtneyrobinson97]

Week Six - IXD104

Approaches to Data Visualisation

To communicate information clearly and efficiently, data visualisation uses statistical graphics, plots, information graphics and other tools. Numerical data may be encoded using dots, lines, or bars, to visually communicate a quantitative message.

Effective visualisation helps users analyse and reason about data and evidence. It makes complex data more accessible, understandable and usable. Users may have particular analytical tasks, such as making comparisons or understanding causality, and the design principle of the graphic (i.e., showing comparisons or showing causality) follows the task. 

Tables are generally used where users will look up a specific measurement, while charts of various types are used to show patterns or relationships in the data for one or more variables.

Data visualisation is both an art and a science.

According to Friedman (2008) the "main goal of data visualisation is to communicate information clearly and effectively through graphical means. It doesn't mean that data visualisation needs to look boring to be functional or extremely sophisticated to look beautiful. To convey ideas effectively, both aesthetic form and functionality need to go hand in hand, providing insights into a rather sparse and complex data set by communicating its key-aspects in a more intuitive way. Yet designers often fail to achieve a balance between form and function, creating gorgeous data visualisations which fail to serve their main purpose — to communicate information".

Data visualisation is closely related to information graphics, information visualisation, scientific visualisation, exploratory data analysis and statistical graphics. In the new millennium, data visualisation has become an active area of research, teaching and development.

https://graphics.straitstimes.com/STI/STIMEDIA/Interactives/2018/04/marvel-cinematic-universe-whos-who-interactive/index.html

Data visualisation is the graphical representation of information and data. By using visual elements like charts, graphs, and maps, data visualisation tools provide an accessible way to see and understand trends, outliers, and patterns in data.

In the world of Big Data, data visualisation tools and technologies are essential to analyse massive amounts of information and make data-driven decisions.

As the “age of Big Data” kicks into high-gear, visualisation is an increasingly key tool to make sense of the trillions of rows of data generated every day. Data visualisation helps to tell stories by curating data into a form easier to understand, highlighting the trends and outliers. A good visualisation tells a story, removing the noise from data and highlighting the useful information.However, it’s not simply as easy as just dressing up a graph to make it look better or slapping on the “info” part of an infographic. Effective data visualisation is a delicate balancing act between form and function. The plainest graph could be too boring to catch any notice or it make tell a powerful point; the most stunning visualisation could utterly fail at conveying the right message or it could speak volumes. The data and the visuals need to work together, and there’s an art to combining great analysis with great storytelling.

The concept of the citizen data scientist is on the rise. Skill sets are changing to accommodate a data-driven world. It is increasingly valuable for professionals to be able to use data to make decisions and use visuals to tell stories of when data informs the who, what, when, where, and how. While traditional education typically draws a distinct line between creative storytelling and technical analysis, the modern professional world also values those who can cross between the two: data visualisation sits right in the middle of analysis and visual storytelling.

The different types of visualisations

Common general types of data visualization:

Charts

Tables

Graphs

Maps

Infographics

Dashboards

More specific examples of methods to visualize data:

Area Chart

Bar Chart

Box-and-whisker Plots

Bubble Cloud

Bullet Graph

Cartogram

Circle View

Dot Distribution Map

Gantt Chart

Heat Map

Highlight Table

Histogram

Matrix

Network

Polar Area

Radial Tree

Scatter Plot (2D or 3D)

Streamgraph

Text Tables

Timeline

Treemap

Wedge Stack Graph

Word Cloud

Sources:

https://visme.co/blog/best-data-visualizations/

https://en.wikipedia.org/wiki/Data_visualization

https://www.tableau.com/learn/articles/data-visualization

[visualizationpatterns]

Top 50 Baby Names - 1930-2014, by bigpixel.net

Done in R based on tutorial from Flowing Data: http://flowingdata.com/2013/10/22/working-with-text-in-r/

Data from https://www.kaggle.com/kaggle/us-baby-names

[qwerty-47-blog]

Module 10 - Analysis

For this module it was instructed to create a pictograph to show what we learned from said article. In my case, it was regarding the oil industry.

Original article:

https://www.kaushik.net/avinash/data-visualization-inspiration-analysis-insights-action-faster/#streamgraph

This was the pictograph I made.