Update and add index

terminal/dataviz

@@ -1,10 +1,9 @@
-                                                                                        Awesome Dataviz
+                                                                                                              Awesome Dataviz
 !Awesome (https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg) (https://github.com/sindresorhus/awesome) !Test 
 (https://github.com/javierluraschi/awesome-dataviz/actions/workflows/main.yaml/badge.svg)
 
 
-A curated list of awesome open-source data visualizations frameworks, libraries and software. Inspired by awesome-python (https://github.com/vinta/awesome-python) and originally created by 
-fasouto (https://github.com/fasouto).
+A curated list of awesome open-source data visualizations frameworks, libraries and software. Inspired by awesome-python (https://github.com/vinta/awesome-python) and originally created by fasouto (https://github.com/fasouto).
 
 
 Contents
@@ -93,8 +92,7 @@
 - F2 (https://github.com/antvis/F2) - An elegant, interactive and flexible charting library for mobile, maintained by Alibaba
 
 Misc
-- Graphology (https://github.com/graphology/graphology) - A robust & multipurpose Graph object for javascript & TypeScript; Serves as a base library to power other graph visualization 
-libraries.
+- Graphology (https://github.com/graphology/graphology) - A robust & multipurpose Graph object for javascript & TypeScript; Serves as a base library to power other graph visualization libraries.
 - Piecon (https://github.com/lipka/piecon) - Pie charts in your favicon.
 - Textures.js (https://riccardoscalco.github.io/textures/) - A library to create SVG patterns.
 - Timeline.js (https://timeline.knightlab.com/) -  Create interactive timelines.
@@ -137,8 +135,7 @@
 - ipychart (https://github.com/nicohlr/ipychart) - The power of Chart.js in Jupyter Notebook.
 - mayai (https://docs.enthought.com/mayavi/mayavi/) - interactive scientific data visualization and 3D plotting in Python.
 - matplotlib (https://matplotlib.org/) - 2D plotting library.
-- missingno (https://github.com/ResidentMario/missingno) - provides flexible toolset of data-visualization utilities that allows quick visual summary of the completeness of your dataset, 
-based on matplotlib.
+- missingno (https://github.com/ResidentMario/missingno) - provides flexible toolset of data-visualization utilities that allows quick visual summary of the completeness of your dataset, based on matplotlib.
 - plotly (https://plot.ly/python/) - Interactive web based visualization built on top of plotly.js (https://github.com/plotly/plotly.js)
 - pptk (https://github.com/heremaps/pptk) - Visualize and work with 2D/3D pointclouds
 - PyQtGraph (https://www.pyqtgraph.org/) - Interactive and realtime 2D/3D/Image plotting and science/engineering widgets.
@@ -176,13 +173,12 @@
 - Kepler.gl (https://kepler.gl/) - Geospatial analysis tool for large-scale data sets.
 - Mermaid (https://github.com/knsv/mermaid) - A tool used to generate diagrams and flowcharts from text in a similar manner as markdown.
 - RAW (https://rawgraphs.io) - Create web visualizations from CSV or Excel files.
-- Spark (https://github.com/holman/spark) - Sparklines for the shell. It have several implementations in different languages 
-(https://github.com/holman/spark/wiki/Alternative-Implementations).
+- Spark (https://github.com/holman/spark) - Sparklines for the shell. It have several implementations in different languages (https://github.com/holman/spark/wiki/Alternative-Implementations).
 - Visual-Insights (https://github.com/ObservedObserver/visual-insights) - Automatic insights extraction and visualization specification in data analysis.
 - X6 (https://x6.antv.vision/en) - diagram creation library for rapid construction of DAG diagrams, ER diagrams, flowcharts and other applications, maintained by Alibaba
 - Graphviz (https://graphviz.org/) - Open source graph visualization command line tool and library. From input text to SVG,PDF,interactive web graph browser. 
 
-                                                                                           Resources
+                                                                                                                 Resources
 
 Books
 - Design for Information (https://www.amazon.com/Design-Information-Introduction-Histories-Visualizations/dp/1592538061) by Isabel Meirelles.
@@ -229,8 +225,7 @@
 Websites
 - Data For Visualization (https://dataforvisualization.com/) blog - Storytelling with data from the software developer's eye
 - Ann K. Emery (https://annkemery.com/)'s blog
-- Data Visualization Society (https://www.datavisualizationsociety.com/) - The Data Visualization Society is an organization dedicated to fostering community for data visualization 
-professionals.
+- Data Visualization Society (https://www.datavisualizationsociety.com/) - The Data Visualization Society is an organization dedicated to fostering community for data visualization professionals.
 - eagereyes (https://eagereyes.org/)
 - EvergreenData (https://stephanieevergreen.com/)
 - FlowingData (https://flowingdata.com/)
@@ -245,7 +240,7 @@
 - vis4.net (https://www.vis4.net/blog/) - Random thoughts on visualization and data journalism by Gregor Aisch
 
 
-                                                                                         Contributing
+                                                                                                                Contributing
 
 - Please check for duplicates first.
 - Keep descriptions short, simple and unbiased.
@@ -255,7 +250,7 @@
 Thanks for your suggestions!
 
 
-                                                                                         Contributors
+                                                                                                                Contributors
 
 - Fabio Souto originally createad this repo, connect with Fabio at fabiosouto.me (https://fabiosouto.me/).
 - Javier Luraschi (https://github.com/javierluraschi) is the current maintainer, he builds predictive visualizations at Hal9 (https://hal9.com).
@@ -263,5 +258,4 @@
 
 - - -
 
-If you have any question about this opinionated list, do not hesitate to contact me @javierluraschi (https://twitter.com/javierluraschi) on Twitter or open a GitHub issue 
-(https://github.com/javierluraschi/awesome-dataviz/issues/new).
+If you have any question about this opinionated list, do not hesitate to contact me @javierluraschi (https://twitter.com/javierluraschi) on Twitter or open a GitHub issue (https://github.com/javierluraschi/awesome-dataviz/issues/new).