Visualization of information and statistics
It just so happened that from time to time I have to work with statistics, and therefore wonder “In what form is it better to introduce it to other people?” Therefore, today I will tell you about some very original ways of visualizing various kinds of statistics.
To begin with, I’ll give an example of one visualization made using Processing .
It is based on annual statistics of people and organizations most covered by the New York Times, and the links between them are shown by lines.
According to the link you can see the visualization for each year since 1984.
The second way is perhaps the most unoriginal, however, he also deserves attention. For example, take the Lovely Charts service., which, like its competitors, allows you to build schemes, sitemaps and diagrams online. There are an infinite number of similar services, but I settled on this because I recently put mention of it on one resource , and I liked it. The construction of schemes is not particularly difficult, as you can see for yourself by registering on the site. Here is an example of what I got in a couple of minutes: UUrold
programvisualizes statistics and links it to various political units. This is realized through the "superstructure" of a three-dimensional diagram above the political map of the world. A special player is built into the program, and if, say, statistics were collected several years in a row, by changing the height of the chart, you can observe in real time how it varied from year to year. It’s difficult to describe in words, so I post the author’s video.
The non-commercial delivery of the program includes a huge statistical base (over 10,000) from various fields, from medicine to economics. Of course there is the possibility of adding your own.
Trimming. Trimming appeared in the early 90s, but has not received wide distribution in our days. Initially, trimming was used to visualize data on disk space, but later for other purposes. The essence of this visualization method is to present a hierarchical (woody) system in the form of rectangle nests. Each rectangle, with such a visualization, has an area proportional to the statistics. Often this helps to take a fresh look at the data structure. The most famous tool for making trims is Treemap 4.0 of the same name .
Here's an example of a successful trimming based on Google News:
An interactive option here .
That's probably all. If the article will be interesting to readers and they will have some questions on the creation of such visualizations, this may become the topic for the next article. Thank you, waiting for your comments.
To begin with, I’ll give an example of one visualization made using Processing .
It is based on annual statistics of people and organizations most covered by the New York Times, and the links between them are shown by lines.
According to the link you can see the visualization for each year since 1984.
The second way is perhaps the most unoriginal, however, he also deserves attention. For example, take the Lovely Charts service., which, like its competitors, allows you to build schemes, sitemaps and diagrams online. There are an infinite number of similar services, but I settled on this because I recently put mention of it on one resource , and I liked it. The construction of schemes is not particularly difficult, as you can see for yourself by registering on the site. Here is an example of what I got in a couple of minutes: UUrold
programvisualizes statistics and links it to various political units. This is realized through the "superstructure" of a three-dimensional diagram above the political map of the world. A special player is built into the program, and if, say, statistics were collected several years in a row, by changing the height of the chart, you can observe in real time how it varied from year to year. It’s difficult to describe in words, so I post the author’s video.
The non-commercial delivery of the program includes a huge statistical base (over 10,000) from various fields, from medicine to economics. Of course there is the possibility of adding your own.
Trimming. Trimming appeared in the early 90s, but has not received wide distribution in our days. Initially, trimming was used to visualize data on disk space, but later for other purposes. The essence of this visualization method is to present a hierarchical (woody) system in the form of rectangle nests. Each rectangle, with such a visualization, has an area proportional to the statistics. Often this helps to take a fresh look at the data structure. The most famous tool for making trims is Treemap 4.0 of the same name .
Here's an example of a successful trimming based on Google News:
An interactive option here .
That's probably all. If the article will be interesting to readers and they will have some questions on the creation of such visualizations, this may become the topic for the next article. Thank you, waiting for your comments.