Jan 05

Fix the WordPress Issue: Could not reach wordpress.org Curl Error 7 

It may solve provided Selinux is denying the access
setsebool -P httpd_can_network_connect on

How to fix mail command does not work?

yum install mailx

or

apt get install mailx

Jan 03

MVC in Java

•To get some details on MVC pattern, you may want to check:

•https://www.javatpoint.com/mvc-architecture-in-java 

•https://www.geeksforgeeks.org/mvc-design-pattern/ 

•An MVC Web Application (approach, minimum what we want)

•https://www.baeldung.com/mvc-servlet-jsp

Java Spring MVC:

Learn to do it Step by Step in Eclipse

https://www.digitalocean.com/community/tutorials/spring-mvc-example

Ref: the link above

IntelliJ: Spring MVC

•https://medium.com/panchalprogrammingacademy/create-a-spring-mvc-project-with-maven-and-intellij-idea-community-edition-1d31b3efe078

Java Spring MVC in Eclipse

•https://www.digitalocean.com/community/tutorials/spring-mvc-example

Jan 02

Adapter Pattern

Ref: Google Images

If you have Access to Linkedin Courses: You can read from: It explains the diagram below i.e. how the adapter pattern works:

Explained the Diagram : https://www.linkedin.com/learning/programming-foundations-design-patterns-2/the-adapter-pattern-defined?autoSkip=true&resume=false&u=2199673

Check the code from here:

https://www.tutorialspoint.com/design_pattern/adapter_pattern.htm

A video example: The above will be easy to understand

https://www.linkedin.com/learning/programming-foundations-design-patterns-2/using-the-adapter-pattern?autoSkip=true&resume=false&u=2199673

Using MediaAdapter, AudioPlayer is accessing the methods of AdvancedMediaPlayer

Ref: https://www.tutorialspoint.com/design_pattern/adapter_pattern.htm

Jan 02

Proxy Design Pattern

Ref: Google

Proxy Pattern from Wikipedia

Class Diagram from Wikipedia

If you have access to Linkedin Courses, then the following Videos will be useful

https://www.linkedin.com/learning/c-sharp-design-patterns-part-3-2017/proxy-pattern-explained?u=2199673

https://www.linkedin.com/learning/c-sharp-design-patterns-part-3-2017/walk-through-proxy-pattern?autoSkip=true&resume=false&u=2199673

Jan 01

Interesting Data Visualizations:

Interesting Data Visualizations:

https://towardsdatascience.com/the-art-of-effective-visualization-of-multi-dimensional-data-6c7202990c57

Building Interactive Dashboards with Jupyter

https://blog.dominodatalab.com/interactive-dashboards-in-jupyter

Visualization: Mapping Global Earthquake Activity

http://introtopython.org/visualization_earthquakes.html

Mapping Data in Python with Pandas and Vincent

http://wrobstory.github.io/2013/10/mapping-data-python.html

Maps in R: Plotting data points on a map

http://www.milanor.net/blog/maps-in-r-plotting-data-points-on-a-map/

Installing basemap on Mac / Python

https://stackoverflow.com/questions/42299352/installing-basemap-on-mac-python

https://stackoverflow.com/questions/21956683/enable-access-control-on-simple-http-server

Vincent Repo:

https://github.com/wrobstory/vincent_map_data

Jan 01

Advanced Data Visualization Resources (in Python)

Advanced Data Visualization

Advanced Data Visualization

Data Visualization Misc

  • Data Visualization Overview:
  • Data Visualization: About Data Visualization
  • http://guides.library.duke.edu/c.php?g=289678&p=1930713
  • I Can See Clearly Now: A Survey of Data Visualization Techniques & Practice
  • https://www.slideshare.net/myles_harrison/i-can-see-clearly-now-a-survey-of-data-visualization-techniques-practice-31179055
  • Visualization in Data Science: What is it for?
  • http://guides.library.duke.edu/c.php?g=289678&p=1930713
  • Anscombe’s quartet
  • https://en.wikipedia.org/wiki/Anscombe’s_quartet
  • Storytelling and data visualization… So what?
  • https://www.dapresy.com/storytelling-and-data-visualization/
  • Visualization Types
  • https://guides.library.duke.edu/datavis/vis_types
  • Junk Chart
  • https://junkcharts.typepad.com/junk_charts/2012/10/expanding-circles-of-error.htm
  • Visualization Analysis & Desig
  • https://www.cs.ubc.ca/~tmm/talks/minicourse14/vad16nasa.pdf



Data Visualization Misc



  • Python Treemaps with Squarify & Matplotlib
  • Treemaps With Squarify
  • https://fcpython.com/visualisation/python-treemaps-squarify-matplotlib
  • 200 Basic Treemap with python
  • HIERARCHICAL CLUSTERING IN R: THE ESSENTIALS
  • Geographic Data with Basemap
  • Plotting data on a map (Example Gallery)
  • https://matplotlib.org/basemap/users/examples.html
  • https://gist.github.com/blaylockbk/79658bdde8c1334ab88d3a67c6e57477
  • Introduction to Interactive Time Series Visualizations with Plotly in Python
  • Time Series Data Visualization with Python
  • Introduction to Data Visualization in Python
  • https://towardsdatascience.com/introduction-to-data-visualization-in-python-89a54c97fbed
  • https://guides.library.duke.edu/c.php?g=289678&p=1930713
  • http://cds.nyu.edu/wpcontent/uploads/2014/04/bertini_datascience_showcase_May12_2014.pdf
  • https://en.wikipedia.org/wiki/Anscombe’s_quartet
  • DATA VISUALIZATION VS. INFOGRAPHICS
  • https://visage.co/throwdown-data-visualization-vs-infographics/

Data Visualization Misc

  • https://galaxydatatech.com/2018/03/20/treemaps-with-squarify/
  • https://python-graph-gallery.com/200-basic-treemap-with-python/
  • Dendrograms in Python
  • https://plot.ly/python/dendrogram/
  • https://python-graph-gallery.com/dendrogram/
  • https://www.datanovia.com/en/lessons/examples-of-dendrograms-visualization/
  • https://jakevdp.github.io/PythonDataScienceHandbook/04.13-geographic-data-with-basemap.html
  • A quick demonstration of creating a basemap and plotting or drawing objects
  • https://towardsdatascience.com/introduction-to-interactive-time-series-visualizations-with-plotly-in-python-d3219eb7a7af
  • https://machinelearningmastery.com/time-series-data-visualization-with-python/

Repeat of previous topic: see title

  • Python Treemaps with Squarify & Matplotlib
  • https://fcpython.com/visualisation/python-treemaps-squarify-matplotlib
  • Treemaps With Squarify
  • https://galaxydatatech.com/2018/03/20/treemaps-with-squarify/
  • 200 Basic Treemap with python
  • https://python-graph-gallery.com/200-basic-treemap-with-python/
  • Dendrograms in Python
  • https://plot.ly/python/dendrogram/
  • https://python-graph-gallery.com/dendrogram/
  • HIERARCHICAL CLUSTERING IN R: THE ESSENTIALS
  • https://www.datanovia.com/en/lessons/examples-of-dendrograms-visualization/
  • Geographic Data with Basemap
  • https://jakevdp.github.io/PythonDataScienceHandbook/04.13-geographic-data-with-basemap.html
  • Plotting data on a map (Example Gallery)¶
  • https://matplotlib.org/basemap/users/examples.html
  • A quick demonstration of creating a basemap and plotting or drawing objects
  • https://gist.github.com/blaylockbk/79658bdde8c1334ab88d3a67c6e57477
  • Introduction to Interactive Time Series Visualizations with Plotly in Python
  • https://towardsdatascience.com/introduction-to-interactive-time-series-visualizations-with-plotly-in-python-d3219eb7a7af
  • Time Series Data Visualization with Python
  • https://machinelearningmastery.com/time-series-data-visualization-with-python/
  • Introduction to Data Visualization in Python
  • https://towardsdatascience.com/introduction-to-data-visualization-in-pyhon-89a54c97fbed

Basic Charts Resources

  • BASIC CHARTS
  • Types: Datasets and Data
  • http://www.cs.ubc.ca/~tmm/talks/minicourse14/vad16nasa.pdf
  • Common Charts
  • Histogram:
  • https://en.wikipedia.org/wiki/Histogram
  • Histogram Examples:
  • https://statistics.laerd.com/statisticalguides/understanding-histograms.php
  • The problem with Sturges’ rule for constructing histograms
  • https://robjhyndman.com/papers/sturges.pdf
  • Bad examples for Histogram:
  • https://www2.southeastern.edu/Academics/Faculty/dgurney/Math241/StatTopics/HistGen.htm

Basic Charts Resources

  • Histogram (Non-Uniform Widths)
  • https://www.onlinemathlearning.com/histogram-width.html
  • What Is a Frequency Polygon Used For?
  • https://www.reference.com/math/frequency-polygon-used-54f72d4d24e0666c
  • Histograms and histographs
  • https://www150.statcan.gc.ca/n1/edu/power-pouvoir/ch9/histo/5214822-eng.htm

Basic Charts Resources

  • Frequency Polygon
  • http://www.matematikaria.com/kamus/frequency-polygon.html

Basic Charts Resources

  • Bar Chart
  • Chart
  • https://en.wikipedia.org/wiki/Chart#/media/File:F%C3%B6rs%C3%A4ljningsstatisti%20k_f%C3%B6r_blanddrycker.png
  • https://en.wikipedia.org/wiki/Chart
  • Bar Chart: Construction
  • https://www.slideshare.net/infinityrulz/stats-16
  • Survey:
  • https://www.slideshare.net/myles_harrison/i-can-see-clearly-now-a-survey-of-data-visualization-techniques-practice-31179055
  • https://www.slideshare.net/infinityrulz/stats-16





Basic Charts Resources

  • Piechart
  • https://en.wikipedia.org/wiki/File:ActionnariatLibe2007-fr.svg
  • http://fluidsurveys.com/university/use-different-chart-types/
  • Construction of Pie Charts
  • https://www.math-only-math.com/construction-of-pie-chart.html
  • Serviceability Reports Archive
  • https://www.cisco.com/en/US/docs/voice_ip_comm/cucm/service/4_0_1/ccmsrvs/sssrvrep.html
  • Understanding Pie Charts: Good and bad Examples
  • https://eagereyes.org/techniques/pie-charts

Basic Charts Resources

  • Box Plot
  • https://en.wikipedia.org/wiki/Box_plot
  • How to Read and Use a Box-and-Whisker Plot
  • https://flowingdata.com/2008/02/15/how-to-read-and-use-a-box-and-whisker-plot/
  • Boxplot
  • http://shiny.chemgrid.org/boxplotr/
  • How to Think Outside the Boxplot
  • https://blog.minitab.com/blog/statistics-and-quality-data-analysis/how-to-think-outside-the-boxplot

Network Visualizations

  • NETWORK VISUALIZATION
  • Example:
  • http://graphs.grevian.org/resources/static/images/example1.png
  • Graph
  • http://mathworld.wolfram.com/Graph.html
  • DIRECTED, UNDIRECTED, WEIGHTED, UNWEIGHTED GRAPH REPRESENTATION IN ADJACENCY LIST, MATRIX REFERENCE SHEET
  • https://quickgrid.wordpress.com/2015/05/29/directed-undirected-weighted-unweighted-graph-representation-in-adjacency-list-matrix-reference-sheet/
  • Graphs in Computer Science
  • http://web.cecs.pdx.edu/~sheard/course/Cs163/Doc/Graphs.html
  • Types of Graphs
  • https://www.javatpoint.com/types-of-graphs
  • Finite State Machines
  • https://brilliant.org/wiki/finite-state-machines/
  • A D3 Network Graph
  • http://bl.ocks.org/jose187/4733747

Network Visualizations

  • Fisheye Distortion
  • https://bost.ocks.org/mike/fisheye/
  • http://www.michelecoscia.com/wp-content/uploads/2012/08/demon2.png
  • Arc Layout
  • http://bl.ocks.org/sjengle/5431779
  • Gridlayout
  • http://opentutorials.cgl.ucsf.edu/images/b/bc/GridLayout.png
  • Circular Layout
  • https://66.media.tumblr.com/8162e2b68064b3aff0fcc5f9be90c016/tumblr_inline_mtcb19aG1n1qzro4y.png
  • An A to Z of extra features for the D3 force layout
  • http://www.coppelia.io/2014/07/an-a-to-z-of-extra-features-for-the-d3-force-layout/

Network Visualizations

  • Force Layout
  • https://medium.com/@sxywu/understanding-the-force-ef1237017d5#.fo45j7vnp
  • Understanding D3.js Force Layout – 3: Seeing a Layout in Action
  • http://jsdatav.is/visuals.html?id=26648f33f3bc9725604a
  • Force-Directed Graph
  • https://observablehq.com/@d3/force-directed-graph
  • Hive Plot (Links)
  • https://bl.ocks.org/mbostock/2066415
  • Hive Plots
  • https://bost.ocks.org/mike/hive/
  • Exploratory Data Analysis of Network Traffic in Industrial Control Systems
  • http://docplayer.net/13892735-Exploratory-data-analysis-of-network-traffic-in-industrial-control-systems.html

Network Visualizations

  • Graph Theory – Isomorphism
  • https://www.tutorialspoint.com/graph_theory/graph_theory_isomorphism.htm
  • Planar graph
  • https://en.wikipedia.org/wiki/Planar_graph
  • Chord Dependency Diagram
  • https://observablehq.com/@d3/chord-dependency-diagram
  • Hierarchical Edge Bundling
  • https://observablehq.com/@d3/hierarchical-edge-bundling
  • Hierarchical Edge Bundles:Visualization of Adjacency Relations in Hierarchical Data
  • https://aviz.fr/wiki/uploads/Teaching2014/bundles_infovis.pdf

GEO VISUALIZATION

  • GEO VISUALIZATION
  • spatial data
  • https://searchsqlserver.techtarget.com/definition/spatial-data
  • File:Latitude and Longitude of the Earth.svg
  • https://en.wikipedia.org/wiki/File:Latitude_and_Longitude_of_the_Earth.svg
  • Geographic coordinate system
  • https://en.wikipedia.org/wiki/GWhy are all world maps wrong?eographic_coordinate_system
  • How To Read GPS Coordinates
  • https://www.ubergizmo.com/how-to/read-gps-coordinates/
  • Geographic coordinate conversion
  • https://en.wikipedia.org/wiki/Geographic_coordinate_conversion
  • GPS coordinates converter
  • https://www.gps-coordinates.net/gps-coordinates-converter
  • GPS coordinates converter
  • https://www.gps-coordinates.net/gps-coordinates-converter
  • Map Projection
  • https://en.wikipedia.org/wiki/Map_projection

GEO VISUALIZATION

  • Why are all world maps wrong?
  • https://www.quora.com/Why-are-all-world-maps-wrong
  • Map Projections – types and distortion patterns
  • http://geokov.com/education/map-projection.aspx
  • Map Projection
  • https://en.wikipedia.org/wiki/Map_projection
  • Map projections and distortion
  • http://www.geography.hunter.cuny.edu/~jochen/GTECH361/lectures/lecture04/concepts/Map%20coordinate%20systems/Map%20projections%20and%20distortion.ht
  • Mercator’s Projection
  • http://www.math.ubc.ca/~israel/m103/mercator/mercator.html?utm_source=weibolife
  • https://en.wikipedia.org/wiki/Mercator_projection
  • https://www.britannica.com/science/Mercator-projection
  • MAPS, CHARTS, AND PROJECTIONS
  • http://www.tpub.com/timeconversion/15.htm
  • Understanding Map Projections
  • https://pdfs.semanticscholar.org/e844/813f5ec9665a9bce66eedd074430ee570471.pdf
  • Why Are Rhumb Lines (Loxodromes) a Constant Track Direction? (and not the Shortest Path)
  • https://gisgeography.com/rhumb-lines-loxodromes/
  • Kartography
  • http://cxhernandez.com/static/files/kartography/images/svg.png

GEO VISUALIZATION

  • ShapeFile and Data File
  • https://en.wikipedia.org/wiki/Shapefile
  • Geojson
  • http://geojson.io/#map=2/20.0/0.0
  • https://en.wikipedia.org/wiki/GeoJSON
  • Latlong-converter
  • https://www.directionsmag.com/site/latlong-converter/
  • Get Latitude and Longitude
  • https://www.latlong.net/

Visualization of Multivariate Charts

  • Dataset Types
  • Tables, Networks, Spatial
  • https://www.cs.ubc.ca/~tmm/talks/minicourse14/vad16nasa.pdf
  • Attribute Types
  • Categorical, Ordered, Quantitative
  • Multivariate Charts
  • Scatter Plot, Heat Map, Bubble Chart, Parallel Coordinates, Radar Plot
  • Scatter Plot
  • https://en.wikipedia.org/wiki/Scatter_plot
  • Scatter Plot : Details: Patterns
  • https://mste.illinois.edu/courses/ci330ms/youtsey/scatterinfo.html
  • Scatter Plot and Trend Line
  • https://www.mathsisfun.com/data/scatter-xy-plots.html
  • Scatterplot Details
  • https://www150.statcan.gc.ca/n1/edu/power-pouvoir/ch9/scatter-nuages/5214827-eng.htm

Visualization of Multivariate Charts

  • GRAPHICS: COMBINING TWOWAY SCATTERPLOTS | STATA LEARNING MODULES
  • https://stats.idre.ucla.edu/stata/modules/graph8/twoway-scatter-combine/
  • Multiple overlaid scatterplots
  • https://www.stata.com/support/faqs/graphics/gph/graphdocs/multiple-overlaid-scatterplots/index.html
  • Visualization in Data Science: What is it for?
  • https://cds.nyu.edu/wp-content/uploads/2014/04/bertini_datascience_showcase_May12_2014.pdf
  • Scatterplots and Outliers. Scatterplot Bad Examples
  • http://faculty.virginia.edu/ASTR3130/lablinks/GuidePlots.html
  • Heatmap
  • https://www.highcharts.com/demo/heatmap
  • SPSS: Heatmap
  • https://www.ibm.com/support/knowledgecenter/en/SS3RA7_15.0.0/com.ibm.spss.modeler.help/graphboard_creating_examples_heatmap.htm

Visualization of Multivariate Charts

  • Heat Map Color Gradients
  • https://docs.microsoft.com/en-us/bingmaps/v8-web-control/map-control-concepts/heat-map-module-examples/heat-map-color-gradients?redirectedfrom=MSDN
  • Heatmap and Correlation Map
  • https://blogs.sas.com/content/sasdummy/2013/06/12/correlations-matrix-heatmap-with-sas/
  • Heatmap: Biclusters
  • https://www.researchgate.net/figure/Heatmap-visualization-of-biclusters-a-Typical-heatmap-with-bright-colors-representing_fig1_5344500
  • A visual analytics approach for understanding biclustering results from microarray data
  • https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-9-247
  • Bubble Chart:
  • https://www.fusioncharts.com/resources/chart-primers/bubble-chart
  • HOW TO DESIGN BUBBLE CHARTS: i.e Kind of Scatterplot
  • https://visage.co/data-visualization-101-bubble-charts
  • Ted Talk: A Famous Bubble Chart
  • https://www.ted.com/talks/hans_rosling_reveals_new_insights_on_poverty?language=en
  • Junk Charts
  • https://junkcharts.typepad.com/junk_charts/2013/03/blowing-the-whistle-at-bubble-charts.htm
  • Parallel Coordinates
  • https://en.wikipedia.org/wiki/Parallel_coordinates

Visualization of Multivariate Charts

  • Polygonal chain
  • https://en.wikipedia.org/wiki/Polygonal_chain
  • Patterns: Parallel Coordinates
  • https://eagereyes.org/techniques/parallel-coordinates
  • More on Parallel Coordinates: Includes bad examples of Parallel Coordinates
  • https://ldld.samizdat.cc/2016/parallel/
  • Radar Plots
  • https://www.fusioncharts.com/resources/chart-primers/radar-chart
  • Radar Plots. Also, what does the area mean?
  • https://ncva.itn.liu.se/education-geovisual-analytics/parallel-coordinates-and-radar-chart?l=en
  • 3 Things to Think About – A Warning Label for Radar Charts
  • http://www.verghisgroup.com/wp-content/uploads/2012/04/3-Things-to-Think-About-A-Warning-Label-for-Radar-Charts.pdf

PERCEPTION and Data Visualization: Concepts, Examples, Code, Projects

  • PERCEPTION and Data Visualization: Concepts, Examples, Code, Projects
  • PERCEPTION
  • Data Visualization for Human Perception
  • “Data visualization is the graphical display of abstract information for two purposes: sense-making (also called data analysis) and communication. … In other words, to visualize data effectively, we must follow design principles that are derived from an understanding of human perception.”
  • https://www.interaction-design.org/literature/book/the-encyclopedia-of-human-computer-interaction-2nd-ed/data-visualization-for-human-perception
  • The Role of Visual Perception in Data Visualization
  • https://www.sciencedirect.com/science/article/pii/S1045926X02902351
  • Pre-attentive Processing
  • https://www.alleydog.com/glossary/definition.php?term=Preattentive%2520Processing
  • 3 Expert Data Visualization Tips for Grabbing Readers’ Attention
  • Read more at https://visme.co/blog/data-visualization-tips/#lxVeLRMe1wybkjdE.99
  • https://visme.co/blog/data-visualization-tips/
  • Attention and Visual Memory in Visualization and Computer Graphics
  • https://www.csc2.ncsu.edu/faculty/healey/download/tvcg.11.pdf

PERCEPTION and Data Visualization: Concepts, Examples, Code, Projects

  • Preattentive Visual Properties and How to Use Them in Information Visualization
  • https://www.interaction-design.org/literature/article/preattentive-visual-properties-and-how-to-use-them-in-information-visualizatio
  • Choosing Colors for Data Visualization
  • http://www.b-eye-network.com/newsletters/ben/223
  • Exploring Preattentive Attributes (Beta)
  • https://learnforeverlearn.com/preattentive/
  • Perception
  • http://www.ifs.tuwien.ac.at/~silvia/wien/vu-infovis/articles/03_Perception.pdf
  • Color value refers to the lightness or darkness of the hue. … Adding black to a hue produces a low-value color, often called a shade. Intensity. Intensity, also called chroma or saturation, refers to the brightness of a color.
  • Elements of Design: Value & Color
  • https://etad.usask.ca/skaalid/theory/cgdt/color.htm
  • Color in Visualization
  • https://www.ics.uci.edu/~majumder/vispercep/colviz.pdf
  • Colors as Hue, Saturation and Brightness
  • http://www.georeference.org/doc/colors_as_hue_saturation_and_brightness.htm

PERCEPTION and Data Visualization: Concepts, Examples, Code, Projects

  • Choosing colors for your data visualization
  • https://cambridge-intelligence.com/choosing-colors-for-your-data-visualization/
  • Perception in Visualization
  • https://www.csc2.ncsu.edu/faculty/healey/PP/index.html
  • Target detection in scientific visualization
  • https://psycnet.apa.org/record/2001-00202-002
  • Check here as well: https://www.csc2.ncsu.edu/faculty/healey/PP/index.html
  • Object detection via color-based image segmentation using python
  • https://towardsdatascience.com/object-detection-via-color-based-image-segmentation-using-python-e9b7c72f0e11
  • Check here as well:
  • https://www.csc2.ncsu.edu/faculty/healey/PP/index.html
  • A systematic comparison between visual cues for boundary detection
  • https://www.sciencedirect.com/science/article/pii/S0042698915003685
  • Check here as well:
  • https://www.csc2.ncsu.edu/faculty/healey/PP/index.html
  • Perception and Boundary Detection
  • https://cslu.ohsu.edu/~bedricks/courses/conj_610/pdf/lec_2_part_2.pdf
  • Why rainbow colors aren’t the best option for data visualizations
  • https://www.poynter.org/archive/2013/why-rainbow-colors-arent-always-the-best-options-for-data-visualizations/
  • Color and Counting
  • Find on: http://www.ifs.tuwien.ac.at/~silvia/wien/vu-infovis/articles/03_Perception.pdf

PERCEPTION and Data Visualization: Concepts, Examples, Code, Projects

  • Color and Perception
  • https://makingmaps.net/2007/08/28/perceptual-scaling-of-map-symbols/
  • Color Blindness by Inheritance
  • https://www.colour-blindness.com/general/prevalence/
  • Form and Color. Form and Boundary Detections
  • Find on: https://cslu.ohsu.edu/~bedricks/courses/conj_610/pdf/lec_2_part_2.pdf
  • Find on: http://www.ifs.tuwien.ac.at/~silvia/wien/vu-infovis/articles/03_Perception.pdf
  • Perceptual Scaling
  • Perceptual Scaling of Map Symbols
  • https://makingmaps.net/2007/08/28/perceptual-scaling-of-map-symbols/
  • MAJOR CITIES OF INDIA: PERCEPTUAL VS. ABSOLUTE SCALING
  • https://blogs.ubc.ca/katerynabaranovasgis/tag/perceptual-scaling/
  • Ebbinghaus illusion
  • https://en.wikipedia.org/wiki/Ebbinghaus_illusion
  • https://en.wikipedia.org/wiki/Ebbinghaus_illusion#/media/File:Mond-vergleich.svg

PERCEPTION and Data Visualization: Concepts, Examples, Code, Projects

  • Flicker, Motion for Preattentive
  • https://www.csc2.ncsu.edu/faculty/healey/PP/
  • https://learnforeverlearn.com/preattentive
  • Principles of Data Visualization
  • http://saravanan-thirumuruganathan.github.io/cse5334Spring2015/slides/03_PrinciplesOfViz/03_PrinciplesOfViz_final.pdf
  • Humans Detect Patterns
  • http://www.mrc-cbu.cam.ac.uk/people/matt-davis/cmabridge/
  • Gestalt Principles
  • https://www.interaction-design.org/literature/topics/gestalt-principle
  • Principles of grouping. Similarity, Closure
  • https://en.wikipedia.org/wiki/Principles_of_grouping
  • Symmetry:Gestalt Principles:Simplicity, symmetry and more: Gestalt theory and the design principles it gave birth to
  • https://www.canva.com/learn/gestalt-theory/
  • Continuity:
  • find on:
  • https://cslu.ohsu.edu/~bedricks/courses/conj_610/pdf/lec_2_part_2.pdf
  • https://www.freepik.com/free-icon/olympic-games-logo_733186.htm
  • Misc
  • https://d3ui957tjb5bqd.cloudfront.net/uploads/2016/03/Gestalt-Psychology-.jpg
  • Projects
  • Will be added later in this article or in separate posts

Text Visualization: Concepts, Examples, Code (Python, R, Matlab), Example Projects

  • Text Visualization
  • Data Visualization Of President Obama’s Inauguration Speech
  • https://blog.capitalogix.com/public/2009/01/data-visualization-of-president-obamas-inauguration-speech.html
  • Text Visualization Course at Washington University
  • https://courses.cs.washington.edu/courses/cse512/16sp/lectures/CSE512-Text.pdf
  • Why Visualize Text?
  • https://www.teachervision.com/reading-comprehension/visualizing
  • You can visualize text to find key concepts in a speech.
  • Obama’s Speech:
  • https://www.nytimes.com/2009/09/10/us/politics/10obama.text.html
  • Example: Speech/Article Visualizations
  • https://economix.blogs.nytimes.com/2009/09/09/obama-in-09-vs-clinton-in-93/?mtrref=undefined&gwh=EA5A091DC9E658A2DCC9513805FEAC3F&gwt=pay&assetType=REGIWALL

Text Visualization

  • 1993 Speech: Bill Clinton
  • https://economix.blogs.nytimes.com/2009/09/09/bill-clinton-on-health-care-1993/
  • 1993 vs 2009.
  • https://economix.blogs.nytimes.com/2009/09/09/obama-in-09-vs-clinton-in-93/
  • Wordtree
  • https://www.jasondavies.com/wordtree/?source=8bd3e76f64f2d614410435434e2fb1fd&prefix
  • Text Visualization Overview
  • https://courses.cs.washington.edu/courses/cse512/16sp/lectures/CSE512-Text.pdf
  • Introduction to Text Analysis: Cleaning/Parsing
  • http://guides.library.duke.edu/c.php?g=289707&p=193085
  • Tokenization
  • https://graphics.cs.wisc.edu/WP/vep/tokenization/
  • Wordcount
  • http://www.wordcount.org/main.php

Text Visualization

  • Wordcloud
  • https://www.jasondavies.com/wordcloud/
  • See through your text
  • https://voyant-tools.org/
  • Bubble Cloud
  • http://vallandingham.me/bubble_cloud/?sherlock
  • Comparison Cloud: Comparative Word Cloud
  • https://sites.google.com/site/miningtwitter/questions/talking-about/wordclouds/comparison-cloud
  • N-Grams
  • http://text-analytics101.rxnlp.com/2014/11/what-are-n-grams.html
  • Wordtree
  • https://developers.google.com/chart/interactive/docs/gallery/wordtree
  • Pattern Searching using Suffix Tree
  • https://www.geeksforgeeks.org/pattern-searching-using-suffix-tree/

Text Visualization

  • Wordtree
  • https://www.jasondavies.com/wordtree/
  • Clustered Word Cloud
  • http://neoformix.com/2011/WordClusterDiagram.html
  • Document Contrast Diagrams
  • http://neoformix.com/2008/DocumentContrastDiagrams.html
  • Phrase Net
  • https://www.betterevaluation.org/en/evaluation-options/phrase_net
  • Analyze Obama’s Speech from 2004: Code Example
  • https://hackernoon.com/analysing-obama-speeches-since-2004-7f08797f7078
  • A Complete Exploratory Data Analysis and Visualization for Text Data
  • https://towardsdatascience.com/a-complete-exploratory-data-analysis-and-visualization-for-text-data-29fb1b96fb6a
  • Basics of Text Analysis & Visualization
  • https://itnext.io/basics-of-text-analysis-visualization-1978de48af47

Text Visualization

  • The Data Visualization Design Process: A Step-by-Step Guide for Beginners
  • https://depictdatastudio.com/data-visualization-design-process-step-by-step-guide-for-beginners/
  • Wordnet Visualization
  • http://vialab.science.uoit.ca/portfolio/wordnet-visualization
  • Visual Wordnet with D3JS
  • https://www.visual-thesaurus.com/wordnet.php
  • Visualizing Word Vectors with t-SNE
  • https://www.kaggle.com/jeffd23/visualizing-word-vectors-with-t-sne
  • Embedding Projector
  • https://projector.tensorflow.org/
  • Visualizing Tweets with Word2Vec and t-SNE, in Python
  • https://leightley.com/visualizing-tweets-with-word2vec-and-t-sne-in-python/
  • Text Analysis for Visualizations
  • http://vallandingham.me/textvis-talk/#1

Text Visualization

  • visualization-and-sentiment-analysis
  • https://www.kaggle.com/shaliniyaramada/visualization-and-sentiment-analysis
  • Word Cloud. Bag of Words
  • https://www.mathworks.com/help/textanalytics/ref/ldamodel.wordcloud.html

Time Series: Concepts, Visualizations, Example Code, Example Projects

  • Time Series: Concepts, Visualizations, Example Code, Example Projects
  • What is Time Series
  • https://en.wikipedia.org/wiki/Time_series
  • A comprehensive beginner’s guide to create a Time Series Forecast (with Codes in Python and R)
  • https://www.analyticsvidhya.com/blog/2016/02/time-series-forecasting-codes-python/
  • A Complete Tutorial on Time Series Modeling in R
  • https://www.analyticsvidhya.com/blog/2015/12/complete-tutorial-time-series-modeling/
  • Creating Time Series Forecast using Python
  • https://courses.analyticsvidhya.com/courses/creating-time-series-forecast-using-python?utm_source=blog&utm_medium=TimeSeriesForecastComprehensivearticle
  • 6.4.1. Definitions, Applications and Techniques
  • https://www.itl.nist.gov/div898/handbook/pmc/section4/pmc41.htm
  • Forecast and Trend
  • https://www.excel-easy.com/examples/forecast-trend.html

Time Series: Concepts, Visualizations, Example Code, Example Projects

  • Time Series Analysis: Seasonality
  • http://slideplayer.com/slide/1507153/
  • Cyclic and seasonal time series
  • https://robjhyndman.com/hyndsight/cyclicts/
  • Time Series and Forecasting
  • https://www.slideshare.net/bmcfad01/chapter-16-2700149
  • Stationary and non-stationary Time Series
  • https://www.analyticsvidhya.com/blog/2015/12/complete-tutorial-time-series-modeling/
  • Metric graphs 101: Timeseries graphs: Representing Time Series
  • Line Graph, Bar Graph, Heatmap, Area Graph, Stacked Area Graphs
  • https://www.datadoghq.com/blog/timeseries-metric-graphs-101/
  • Stock Market Graphs
  • https://ca.finance.yahoo.com/quote/%5EGSPTSE?p=%5EGSPTSE&guccounter=1

Time Series: Concepts, Visualizations, Example Code, Example Projects

  • Half Life
  • https://en.wikipedia.org/wiki/Exponential_decay#Half-life
  • Decomposing Time Series
  • https://otexts.com/fpp2/classical-decomposition.html
  • Decomposition of time series
  • https://en.wikipedia.org/wiki/Decomposition_of_time_series
  • Area Chart
  • https://en.wikipedia.org/wiki/Area_chart
  • Area Graph
  • https://datavizcatalogue.com/methods/area_graph.html
  • Represent Time Series with Heatmap
  • https://datavizcatalogue.com/methods/heatmap.html
  • Time Series Visualizations – An overview
  • http://complexdatavisualized.com/time-series-visualizations-an-overview/
  • Visualization: The Ebb and Flow of Movies: Box Office Receipts 1986 — 2008
  • http://archive.nytimes.com/www.nytimes.com/interactive/2008/02/23/movies/20080223_REVENUE_GRAPHIC.html

Time Series: Concepts, Visualizations, Example Code, Example Projects

  • Why we need frequency domain?
  • https://math.stackexchange.com/questions/55310/why-we-need-frequency-domain
  • Time–frequency analysis for music signals
  • https://en.wikipedia.org/wiki/Time%E2%80%93frequency_analysis_for_music_signals
  • What is the difference between Time domain and frequency domain
  • https://www.researchgate.net/post/What_is_the_difference_between_Time_domain_and_frequency_domain10
  • Frequency Domain and Fourier Transforms
  • http://www.princeton.edu/~cuff/ele201/kulkarni_text/frequency.pdf
  • Moving Average (MA)
  • https://www.investopedia.com/terms/m/movingaverage.asp
  • Calculation of Trend by Moving Average Method
  • https://www.toppr.com/guides/business-mathematics-and-statistics/time-series-analysis/moving-average-method/
  • Basic Feature Engineering With Time Series Data in Python
  • https://machinelearningmastery.com/basic-feature-engineering-time-series-data-python/
  • Time Series Feature Extraction for industrial big data (IIoT) applications
  • https://towardsdatascience.com/time-series-feature-extraction-for-industrial-big-data-iiot-applications-5243c84aaf0e
  • Taxonomy of Time Series Forecasting Problems
  • https://machinelearningmastery.com/taxonomy-of-time-series-forecasting-problems
  • How To Identify Patterns in Time Series Data: Time Series Analysis
  • http://www.statsoft.com/textbook/time-series-analysis
  • An Introduction to Stationary and Non-Stationary Processes
  • https://www.investopedia.com/articles/trading/07/stationary.asp
  • A Gentle Introduction to Handling a Non-Stationary Time Series in Python
  • https://www.analyticsvidhya.com/blog/2018/09/non-stationary-time-series-python/

Hierarchical Visualization: Examples, Implementations, Theory, and Projects

  • Hierarchical Visualization: Examples, Implementations, Theory, and Projects
  • Hierarchical Visualization in R
  • http://www.r-chart.com/2010/07/hierarchical-visualizations-in-r-and.html
  • Hierarchical cluster analysis on famous data sets – enhanced with the dendextend package
  • https://cran.r-project.org/web/packages/dendextend/vignettes/Cluster_Analysis.html
  • Tree Plots
  • https://plot.ly/python/tree-plots/
  • A Python framework for the analysis and visualization of trees.
  • http://etetoolkit.org/
  • Hierarchy
  • https://en.wikipedia.org/wiki/Hierarchy
  • Organizational Chart
  • https://upload.wikimedia.org/wikipedia/commons/8/86/Departments_in_advertising_agencies.jpg
  • Brackets
  • https://en.wikipedia.org/wiki/Bracket_(tournament)#/media/File:SixteenPlayerSingle



Hierarchical Visualization: Examples, Implementations, Theory, and Projects

  • Introduction to Graphs
  • http://btechsmartclass.com/data_structures/introduction-to-graphs.html
  • https://www.csee.umbc.edu/courses/undergraduate/341/fall98/frey/ClassNotes/Class14/RootedTree.jpg
  • Tree Data Structure
  • https://en.wikipedia.org/wiki/Tree_(data_structure)
  • Unrooted Tree
  • https://image.slidesharecdn.com/phylogeneticanalysis-111117220939-phpapp01/95/phylogenetic-analysis-16-728.jpg?cb=1321568578
  • cyclicVSacyclic
  • http://www2.imm.dtu.dk/projects/graph/images/fig_graph_structures/cyclicVSacyclic.png
  • Querying Social Media with NodeXL
  • http://scalar.usc.edu/works/querying-social-media-with-nodexl/what-is-a-network-graph-what-is-a-node-link-diagram
  • Evaluation of Traditional, Orthogonal, and Radial Tree Diagrams by an Eye Tracking Study
  • http://www.joules.de/files/burch_evaluation_2011.pdf
  • Exponential SVG
  • https://upload.wikimedia.org/wikipedia/commons/thumb/6/64/Exponential.svg/718px-Exponential.svg.png
  • revisioning-trees
  • https://shapeofthought.typepad.com/shape_of_thought/revisioning-trees/

Hierarchical Visualization: Examples, Implementations, Theory, and Projects

  • File System as Cone Trees
  • https://infovis-wiki.net/wiki/Cone_Trees
  • orthogonal_layouter
  • http://docs.yworks.com/yfiles/doc/developers-guide/orthogonal_layouter.html
  • Indented Tree or Graph
  • http://chisel.cs.uvic.ca/pubs/fu-ISWC2013.pdf
  • http://mbostock.github.io/protovis/ex/indent.html
  • Collapsible Indented Tree
  • https://bl.ocks.org/mbostock/1093025
  • Dendogram
  • https://en.wikipedia.org/wiki/Dendrogram
  • Visualizing Dendrograms in R
  • https://rpubs.com/gaston/dendrograms
  • Dendrograms in Python
  • https://plot.ly/python/dendrogram/
  • Hierarchical Clustering / Dendrograms
  • https://ncss-wpengine.netdna-ssl.com/wp-content/themes/ncss/pdf/Procedures/NCSS/Hierarchical_Clustering-Dendrograms.pdf
  • icicle
  • https://homes.cs.washington.edu/~jheer/files/zoo/ex/hierarchies/icicle.png
  • icicle in d3js
  • https://bl.ocks.org/mbostock/4347473

Hierarchical Visualization: Examples, Implementations, Theory, and Projects

  • Radial Layout
  • https://yed.yworks.com/support/manual/layout/layout_radial.html
  • Thread Arcs
  • http://visualoop.com/media/2015/01/image_72.png
  • Trees and Graphs
  • https://courses.cs.washington.edu/courses/cse512/14wi/lectures/Trees&Graphs.pdf
  • Treemap Template
  • http://bl.ocks.org/ganeshv/6a8e9ada3ab7f2d88022
  • Nested Treemap
  • https://observablehq.com/@d3/nested-treemap
  • Ordered and Unordered Treemap Algorithms and Their Applications on Handheld Devices
  • https://www.nada.kth.se/utbildning/grukth/exjobb/rapportlistor/2005/rapporter05/engdahl_bjorn_05033.pdf
  • Circular Treemap
  • https://www.treemap.com/documentation/treemapping/circular-profit-sales.pn
  • Voronoi treemaps
  • https://en.wikipedia.org/wiki/Voronoi_diagram
  • https://www.jasondavies.com/voronoi-treemap/
  • Visualizations
  • http://www.shengdongzhao.com/wp-content/uploads/2012/06/EH_InfoVis_Final1.ppt
  • Hyperbolic Trees
  • https://philogb.github.io/jit/static/v20/Jit/Examples/Hypertree/example1.html
  • Hyperbolic Space
  • http://karynvogel.blogspot.com/2012/01/hyperbolic-space.html
  • https://bakingandmath.com/2014/10/02/what-is-hyperbolic-space/
  • Hyperbolic Tree
  • https://en.wikipedia.org/wiki/Hyperbolic_tree

Python Treemaps with Squarify & Matplotlib

  • Python Treemaps with Squarify & Matplotlib
  • https://fcpython.com/visualisation/python-treemaps-squarify-matplotlib
  • Treemaps with Squarify
  • https://galaxydatatech.com/2018/03/20/treemaps-with-squarify/
  • 200 Basic Treemap with Python
  • https://python-graph-gallery.com/200-basic-treemap-with-python/
  • Dendrograms in Python
  • https://plot.ly/python/dendrogram/
  • https://python-graph-gallery.com/dendrogram/
  • Hierarchical Clustering in R: The Essentials
  • https://www.datanovia.com/en/lessons/examples-of-dendrograms-visualization/
  • Geographic Data with Basemap
  • https://jakevdp.github.io/PythonDataScienceHandbook/04.13-geographic-data-with-basemap.html
  • Plotting data on a map (Example Gallery)
  • https://matplotlib.org/basemap/users/examples.html

Python Treemaps with Squarify & Matplotlib

  • Data Visualization Misc: Concepts
  • http://bangla.salearningschool.com/recent-posts/data-visualization-misc/
  • Data Visualization: BASIC CHARTS : Resources:
  • http://bangla.salearningschool.com/recent-posts/data-visualization-basic-charts-resources/
  • Visualization of Multivariate Charts
  • http://bangla.salearningschool.com/recent-posts/visualization-of-multivariate-charts/
  • GEO VISUALIZATION: Data Visualization
  • http://bangla.salearningschool.com/recent-posts/geo-visualization-data-visualization/
  • NETWORK VISUALIZATION : Data Visualization
  • http://bangla.salearningschool.com/recent-posts/network-visualization-data-visualization/
  • Hierarchical Visualization: Examples, Implementations, Theory, and Projects
  • http://bangla.salearningschool.com/recent-posts/hierarchical-visualization-examples-implementations-theory-and-projects/
  • Time Series: Concepts, Visualizations, Example Code, Example Projects
  • http://bangla.salearningschool.com/recent-posts/time-series-concepts-visualizations-example-code-example-projects/
  • PERCEPTION and Data Visualization: Concepts, Examples, Code, Projects
  • http://bangla.salearningschool.com/recent-posts/perception-and-data-visualization-concepts-examples-code-projects/
  • Text Visualization: Concepts, Examples, Code (Python, R, Matlab), Example Projects
  • http://bangla.salearningschool.com/recent-posts/text-visualization-concepts-examples-code-python-r-matlab-example-projects/
  • Data Visualization in Python (R)
  • http://bangla.salearningschool.com/recent-posts/data-visualization-in-python-r/

Dec 29

Idea, Applications, and Research: Multi Armed Bandit in Reinforcement Learning

Ref and Read: https://medium.com/@gridflowai/multi-armed-bandits-an-overview-on-classical-rl-algorithms-9a1e047cd98e

https://www.kdnuggets.com/2023/01/introduction-multiarmed-bandit-problems.html

Epsilon Greedy:

https://medium.com/opex-analytics/multi-armed-bandits-101-6f4ac62b6bd6

https://cxl.com/blog/bandit-tests

https://www.geeksforgeeks.org/epsilon-greedy-algorithm-in-reinforcement-learning

https://sagemaker-examples.readthedocs.io/en/latest/reinforcement_learning/bandits_statlog_vw_customEnv/bandits_statlog_vw_customEnv.html

Dec 28

Design and Engineering Considerations for API

From the Internet

Dec 27

Reinforcement Learning Problem

Ref: https://www.cs.toronto.edu/~jlucas/teaching/csc411/lectures/lec21_22_handout.pdf

Formulate:

Read more from: https://www.cs.toronto.edu/~jlucas/teaching/csc411/lectures/lec21_22_handout.pdf

What is a Policy (Deterministic Policy, Stochastic Policy)

What is a Value Function

What is a Model? What is Model Free. Markov Property for Model

MDP Problems

Exploration and Exploitation

Bellman Equations

Q-Learning

Function Approximation for Large State Spaces

Dec 27

Topics: Reinforcement Learning (Interactive Learning in Decision Processes):

What is: Reinforcement Learning (Interactive Learning in Decision Processes)?

— Is there a way to learn by interacting

— i.e. interact have experience and use the experience to learn (predict the future)

— Interact to explore and utilize what makes learning (goal/outcome) enhanced

— The computation approach of this method is Reinforcement Learning (Interactive Learning in Decision Processes)?

— it is a goal oriented learning from interactions

— it has it’s root in Markov decision process (MDP)

— Markov decision process (MDP) is a model for sequential decision making when outcomes are uncertain.[1] [Wikipedia]

Reinforcement Learning (Interactive Learning in Decision Processes) Involves:

Markov decision processes
Dynamic Programming
Monte Carlo methods
Temporal-difference learning
Function approximation methods

Monte Carlo methods

Solves problems with repeated random sampling.

Temporal-difference learning: combination of the Monte Carlo (MC) method and the Dynamic Programming (DP) method.

Function approximation methods