{"id":16057,"date":"2019-09-05T19:45:29","date_gmt":"2019-09-05T23:45:29","guid":{"rendered":"http:\/\/bangla.salearningschool.com\/recent-posts\/data-visualization-basic-charts-resources\/"},"modified":"2025-06-25T02:24:50","modified_gmt":"2025-06-25T02:24:50","slug":"data-visualization-basic-charts-resources","status":"publish","type":"post","link":"http:\/\/bangla.sitestree.com\/?p=16057","title":{"rendered":"Data Visualization: BASIC CHARTS : Resources:"},"content":{"rendered":"

BASIC CHARTS<\/p>\n

Types: Datasets and Data
\nhttp:\/\/www.cs.ubc.ca\/~tmm\/talks\/minicourse14\/vad16nasa.pdf<\/a><\/p>\n

Common Charts
\nHistogram: https:\/\/en.wikipedia.org\/wiki\/Histogram<\/a>
\nHistogram Examples: https:\/\/statistics.laerd.com\/statisticalguides\/understanding-histograms.php<\/a><\/p>\n

The problem with Sturges\u2019 rule for constructing histograms
\nhttps:\/\/robjhyndman.com\/papers\/sturges.pdf<\/a><\/p>\n

Bad examples for Histogram: https:\/\/www2.southeastern.edu\/Academics\/Faculty\/dgurney\/Math241\/StatTopics\/HistGen.htm<\/a><\/p>\n

Histogram (Non-Uniform Widths)
\nhttps:\/\/www.onlinemathlearning.com\/histogram-width.html<\/a><\/p>\n

What Is a Frequency Polygon Used For?
\nhttps:\/\/www.reference.com\/math\/frequency-polygon-used-54f72d4d24e0666c<\/a><\/p>\n

Histograms and histographs
\nhttps:\/\/www150.statcan.gc.ca\/n1\/edu\/power-pouvoir\/ch9\/histo\/5214822-eng.htm<\/a><\/p>\n

Frequency Polygon
\nhttp:\/\/www.matematikaria.com\/kamus\/frequency-polygon.html<\/a><\/p>\n

—<\/p>\n

Bar Chart<\/p>\n

Chart
\nhttps:\/\/en.wikipedia.org\/wiki\/Chart#\/media\/File:F%C3%B6rs%C3%A4ljningsstatisti%20k_f%C3%B6r_blanddrycker.png<\/a><\/p>\n

https:\/\/en.wikipedia.org\/wiki\/Chart<\/a><\/p>\n

Bar Chart: Construction
\nhttps:\/\/www.slideshare.net\/infinityrulz\/stats-16<\/a><\/p>\n

Survey:
\nhttps:\/\/www.slideshare.net\/myles_harrison\/i-can-see-clearly-now-a-survey-of-data-visualization-techniques-practice-31179055<\/a>
\nhttps:\/\/www.slideshare.net\/infinityrulz\/stats-16<\/a><\/p>\n

Piechart
\nhttps:\/\/en.wikipedia.org\/wiki\/File:ActionnariatLibe2007-fr.svg<\/a><\/p>\n

http:\/\/fluidsurveys.com\/university\/use-different-chart-types\/<\/a><\/p>\n

Construction of Pie Charts
\nhttps:\/\/www.math-only-math.com\/construction-of-pie-chart.html<\/a><\/p>\n

Serviceability Reports Archive
\nhttps:\/\/www.cisco.com\/en\/US\/docs\/voice_ip_comm\/cucm\/service\/4_0_1\/ccmsrvs\/sssrvrep.html<\/a><\/p>\n

Understanding Pie Charts: Good and bad Examples
\nhttps:\/\/eagereyes.org\/techniques\/pie-charts<\/a><\/p>\n

Box Plot
\nhttps:\/\/en.wikipedia.org\/wiki\/Box_plot<\/a><\/p>\n

How to Read and Use a Box-and-Whisker Plot
\nhttps:\/\/flowingdata.com\/2008\/02\/15\/how-to-read-and-use-a-box-and-whisker-plot\/<\/a><\/p>\n

Boxplot
\nhttp:\/\/shiny.chemgrid.org\/boxplotr\/<\/a><\/p>\n

How to Think Outside the Boxplot
\nhttps:\/\/blog.minitab.com\/blog\/statistics-and-quality-data-analysis\/how-to-think-outside-the-boxplot<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

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\u2019 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 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 Frequency Polygon http:\/\/www.matematikaria.com\/kamus\/frequency-polygon.html — 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: … <\/p>\n

Continue reading<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1903,182],"tags":[],"class_list":["post-16057","post","type-post","status-publish","format-standard","hentry","category-data-visualization","category---blog","item-wrap"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":62734,"url":"http:\/\/bangla.sitestree.com\/?p=62734","url_meta":{"origin":16057,"position":0},"title":"Histogram: Part – 3: Quality Control #PMP – Project Management","author":"Author-Check- Article-or-Video","date":"May 20, 2021","format":false,"excerpt":"Histogram: Pareto chart: Histogram-shows defects ranked from greatest to least. Pareto law: 80% problems come from 20% problems. Pareto chart is used to find the root causes of the problems. Run Chart: Displays quality over time. Example: Time\/month on X axis, defects per thousand on y axis. Scatter Diagram: Plot\u2026","rel":"","context":"In "FromSitesTree.com"","block_context":{"text":"FromSitesTree.com","link":"http:\/\/bangla.sitestree.com\/?cat=1917"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":76547,"url":"http:\/\/bangla.sitestree.com\/?p=76547","url_meta":{"origin":16057,"position":1},"title":"Advanced Data Visualization Resources (in Python)","author":"Sayed","date":"January 1, 2025","format":false,"excerpt":"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\u2026 So what?\u2026","rel":"","context":"In "Data Visualization"","block_context":{"text":"Data Visualization","link":"http:\/\/bangla.sitestree.com\/?cat=1903"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":908,"url":"http:\/\/bangla.sitestree.com\/?p=908","url_meta":{"origin":16057,"position":2},"title":"Lecture – 05: Histogram (\u09b9\u09bf\u09b8\u09cd\u099f\u09cb\u0997\u09cd\u09b0\u09be\u09ae)","author":"Author-Check- Article-or-Video","date":"April 12, 2013","format":false,"excerpt":"","rel":"","context":"In "Complete Courses"","block_context":{"text":"Complete Courses","link":"http:\/\/bangla.sitestree.com\/?cat=29"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":16198,"url":"http:\/\/bangla.sitestree.com\/?p=16198","url_meta":{"origin":16057,"position":3},"title":"Best Practices in Data Preparation","author":"Sayed","date":"September 15, 2019","format":false,"excerpt":"Best Practices in Data Preparation 1. Check data formats (Image, CSV, PC, Mac, mainframe, text, structured, unstructured) 2. Verify data types (numbers, text, floats, currencies, nominal, ordinal, interval, range) 3. Graph your Data (Scatter, Histogram, bar, line) 4. Verify the data (data accuracy, data makes sense) 5. Identify outliers (\u2026","rel":"","context":"In "Statistics for Big Data"","block_context":{"text":"Statistics for Big Data","link":"http:\/\/bangla.sitestree.com\/?cat=1904"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":62539,"url":"http:\/\/bangla.sitestree.com\/?p=62539","url_meta":{"origin":16057,"position":4},"title":"Project Quality Management #PMP – Project Management","author":"Author-Check- Article-or-Video","date":"May 16, 2021","format":false,"excerpt":"Project Quality ManagementQuality management has three aspects: 1. Quality planning - plan 2. Quality Executing - quality assurance - execute 3. Quality controlling - monitor and controlQuality planning - planIdentify quality specifications and requirements for the project. Plan hos the quality specifications will be met.Output: Quality management plan Quality metrics\u2026","rel":"","context":"In "FromSitesTree.com"","block_context":{"text":"FromSitesTree.com","link":"http:\/\/bangla.sitestree.com\/?cat=1917"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":26201,"url":"http:\/\/bangla.sitestree.com\/?p=26201","url_meta":{"origin":16057,"position":5},"title":"Best Practices in Data Preparation #Root","author":"Author-Check- Article-or-Video","date":"April 19, 2021","format":false,"excerpt":"Best Practices in Data Preparation 1. Check data formats (Image, CSV, PC, Mac, mainframe, text, structured, unstructured) 2. Verify data types (numbers, text, floats, currencies, nominal, ordinal, interval, range) 3. Graph your Data (Scatter, Histogram, bar, line) 4. 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