| Description |
Introduction
============
`EEA Daviz`_ is a web tool developed by the European Environment Agency which
helps creating interactive data visualizations easily through the web
browser, no extra tools are necessary. It is free and open source.
You can generate attractive and interactive charts and combine them in a
dashboard with facets/filters which updates the charts simultaneously.
Data can be uploaded as CSV/TSV or you can specify SPARQL to query
online Linked open data servers (aka sparql endpoints).
Daviz is the first Semantic web data visualisation tool for Plone CMS,
entirely web-based!
At the moment `Simile Exhibit` and `Google Charts` visualizations are
supported. The architecture allows to extend Daviz with more
visualisation libraries (visualisations plugins).
.. contents::
Main features
=============
|Daviz features diagram|
- No desktop tools needed to make visualizations. all web based.
2. Data input: easy copy and paste of data table from any webpage or
excel sheet
3. Data input: drag-and-drop your data from CSV/TSV files, and we do the rest
4. Data input advanced: retrieve data from any SPARQL endpoint on the fly
5. Intuitive visualization editor to create interactive charts.
6. Large amount of visualizations available: Area, Bar,
Bubble, Candlestick, Column, Combo Chart, Gauge, Geo Intensity Maps,
Line, Pie, Radar, Scatter, Stepped Area, Table, Tree Map, Motion Charts,
Faceted search table, Faceted tiles, Faceted timeline,
Faceted map and more...
7. Dashboard. Group charts into one dashboard.
8. Share any chart. Embeddable visualization in any webpage.
9. Customizable chart options and colors
10. Data table manipulation via drag and drop, preparing table for chart
11. Pivot table (Transpose), transform row values into columns
12. Modular framework for extending it with more visualizations
13. And much more...
It is simple to use, needs no desktop application, everything is done
through the web by uploading an "excel file", CSV, TSV. You can also query
the "web of data" via public available sparql endpoints.
You can easily make visualizations like:
- `Simile Exhibit `_
2. `Google Charts `_
See also initial project `wiki page `_
for the reasoning behind this project.
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