Data visualization is the graphic representation of data. It involves producing images that
communicate relationships among the represented data to viewers of the images.
This communication is achieved through the use of a systematic mapping between
graphic marks and data values in the creation of the visualization. This
mapping establishes how data values will be represented visually, determining
how and to what extent a property of a graphic mark, such as size or color,
will change to reflect changes in the value of a datum.
Graphical displays should:
·
show the data
·
induce the viewer to think about the
substance rather than about methodology, graphic design, the technology of
graphic production or something else
·
avoid distorting what the data has to
say
·
present many numbers in a small space
·
make large data sets coherent
·
encourage the eye to compare
different pieces of data
·
reveal the data at several levels of
detail, from a broad overview to the fine structure
·
serve a reasonably clear purpose:
description, exploration, tabulation or decoration
·
be closely integrated with the
statistical and verbal descriptions of a data set.
1.
Chart studio :
Make charts, presentations and
dashboards with this adaptable software. You can play out your analysis
utilizing JavaScript, Python, R, Matlab, Jupyter, or Excel, and there are a few
alternatives for bringing in the information. The perception library and online
diagram creation tool permit you to make incredible looking illustrations.
2.
DataHero
DataHero enables you to pull together
data from cloud services and create charts and dashboards. No technical
abilities are required, so this is a great tool for your whole team to
use.
3.
Chart.js
Chart.js is the perfect data
visualization tool for hobbies and small projects. Using HTML 5 canvas elements
to render charts, Chart.js creates responsive, flat designs, and is quickly
becoming one of the most popular open-source charting libraries.
4.
Tableau (and Tableau Public)
Tableau has a variety of options available, including a desktop
app, server and hosted online versions and a free public option. There are
hundreds of data import options available, from CSV files to Google Ads and
Analytics data to Salesforce data.
Output
options include multiple chart formats as well as mapping capability. That
means designers can create color-coded maps that showcase geographically
important data in a format that’s much easier to digest than a table or chart
could ever be.
5.
RAWGraphs
Open, customizable, and free to download
and modify, RAWGraphs lets users create vector-based data visualizations. Data
can be safely uploaded from apps to computers, plus it can be exported as an
SVG or PNG and embedded in your webpage.
6.
Infogram
Infogram is a fully-featured drag-and-drop visualization tool that allows even non-designers to create
effective visualizations of data for marketing reports, infographics, social
media posts, maps, dashboards, and more.
Finished
visualizations can be exported into a number of formats: .PNG, .JPG, .GIF,
.PDF, and .HTML. Interactive visualizations are also possible, perfect for
embedding into websites or apps. Infogram also offers a WordPress plugin that
makes embedding visualizations even easier for WordPress users.
7.
ChartBlocks
ChartBlocks claims that data can be imported from “anywhere” using
their API, including from live feeds. While they say that importing data from
any source can be done in “just a few clicks,” it’s bound to be more complex
then other apps that have automated modules or extensions for specific data
sources.
The app
allows for extensive customization of the final visualization created, and the
chart building wizard helps users pick exactly the right data for their charts
before importing the data.
8.
ZingChart
ZingChart is a JavaScript charting
library and feature-rich API set that lets you build interactive Flash or HTML5
charts. It offers over 100 chart types to fit your data.
9.
FusionCharts
FusionCharts is
another JavaScript-based option for creating web and mobile dashboards. It
includes over 150 chart types and 1,000 map types. It can integrate with
popular JS frameworks (including React, jQuery, React, Ember, and Angular) as
well as with server-side programming languages (including PHP, Java, Django,
and Ruby on Rails).
FusionCharts
gives ready-to-use code for all of the chart and map variations, making it
easier to embed in websites even for those designers with limited programming
knowledge. Because FusionCharts is aimed at creating dashboards rather than
just straightforward data visualizations it’s one of the most expensive options
included in this article. But it’s also one of the most powerful.
10.
Polymaps
Polymaps is a
dedicated JavaScript library for mapping. The outputs are dynamic, responsive
maps in a variety of styles, from image overlays to symbol maps to density
maps. It uses SVG to create the images, so designers can use CSS to customize
the visuals of their maps.