4 datasets found
  1. w

    Global Data Visualization Library Software Market Research Report: By...

    • wiseguyreports.com
    Updated Sep 15, 2025
    + more versions
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    (2025). Global Data Visualization Library Software Market Research Report: By Application (Business Intelligence, Data Reporting, Data Analytics, Web Development), By Deployment Type (On-Premises, Cloud-Based, Hybrid), By End User (Small and Medium Enterprises, Large Enterprises, Government), By License Type (Commercial, Open Source, Freemium) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2035 [Dataset]. https://www.wiseguyreports.com/reports/data-visualization-library-software-market
    Explore at:
    Dataset updated
    Sep 15, 2025
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Time period covered
    Sep 25, 2025
    Area covered
    Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2023
    REGIONS COVEREDNorth America, Europe, APAC, South America, MEA
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 20244.96(USD Billion)
    MARKET SIZE 20255.49(USD Billion)
    MARKET SIZE 203515.0(USD Billion)
    SEGMENTS COVEREDApplication, Deployment Type, End User, License Type, Regional
    COUNTRIES COVEREDUS, Canada, Germany, UK, France, Russia, Italy, Spain, Rest of Europe, China, India, Japan, South Korea, Malaysia, Thailand, Indonesia, Rest of APAC, Brazil, Mexico, Argentina, Rest of South America, GCC, South Africa, Rest of MEA
    KEY MARKET DYNAMICSgrowing demand for real-time analytics, increasing adoption of cloud-based solutions, rise in data-driven decision making, emergence of AI and machine learning, focus on enhanced data storytelling
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDSisense, Matplotlib, IBM, Google Charts, MicroStrategy, Tableau, Plotly, Looker, Microsoft, Chart.js, Highcharts, Power BI, D3.js, TIBCO Software, Qlik
    MARKET FORECAST PERIOD2025 - 2035
    KEY MARKET OPPORTUNITIESGrowing demand for real-time analytics, Increasing adoption of cloud-based solutions, Rising need for data storytelling tools, Expanding use in AI and machine learning, Integration with big data technologies
    COMPOUND ANNUAL GROWTH RATE (CAGR) 10.6% (2025 - 2035)

  2. Data Visualization Cheat sheets and Resources

    • kaggle.com
    zip
    Updated May 31, 2022
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    Kash (2022). Data Visualization Cheat sheets and Resources [Dataset]. https://www.kaggle.com/kaushiksuresh147/data-visualization-cheat-cheats-and-resources
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    zip(133638507 bytes)Available download formats
    Dataset updated
    May 31, 2022
    Authors
    Kash
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    The Data Visualization Corpus

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F1430847%2F29f7950c3b7daf11175aab404725542c%2FGettyImages-1187621904-600x360.jpg?generation=1601115151722854&alt=media" alt="">

    Data Visualization

    Data visualization is the graphical representation of information and data. By using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data.

    In the world of Big Data, data visualization tools and technologies are essential to analyze massive amounts of information and make data-driven decisions

    The Data Visualizaion Copus

    The Data Visualization corpus consists:

    • 32 cheat sheets: This includes A-Z about the techniques and tricks that can be used for visualization, Python and R visualization cheat sheets, Types of charts, and their significance, Storytelling with data, etc..

    • 32 Charts: The corpus also consists of a significant amount of data visualization charts information along with their python code, d3.js codes, and presentations relation to the respective charts explaining in a clear manner!

    • Some recommended books for data visualization every data scientist's should read:

      1. Beautiful Visualization by Julie Steele and Noah Iliinsky
      2. Information Dashboard Design by Stephen Few
      3. Knowledge is beautiful by David McCandless (Short abstract)
      4. The Functional Art: An Introduction to Information Graphics and Visualization by Alberto Cairo
      5. The Visual Display of Quantitative Information by Edward R. Tufte
      6. storytelling with data: a data visualization guide for business professionals by cole Nussbaumer knaflic
      7. Research paper - Cheat Sheets for Data Visualization Techniques by Zezhong Wang, Lovisa Sundin, Dave Murray-Rust, Benjamin Bach

    Suggestions:

    In case, if you find any books, cheat sheets, or charts missing and if you would like to suggest some new documents please let me know in the discussion sections!

    Resources:

    Request to kaggle users:

    • A kind request to kaggle users to create notebooks on different visualization charts as per their interest by choosing a dataset of their own as many beginners and other experts could find it useful!

    • To create interactive EDA using animation with a combination of data visualization charts to give an idea about how to tackle data and extract the insights from the data

    Suggestion and queries:

    Feel free to use the discussion platform of this data set to ask questions or any queries related to the data visualization corpus and data visualization techniques

    Kindly upvote the dataset if you find it useful or if you wish to appreciate the effort taken to gather this corpus! Thank you and have a great day!

  3. l

    LFX Insights metrics for Plotly.js

    • insights.linuxfoundation.org
    Updated Jun 15, 2012
    + more versions
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    LFX Insights (2012). LFX Insights metrics for Plotly.js [Dataset]. https://insights.linuxfoundation.org/project/plotly-plotly-js
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    Dataset updated
    Jun 15, 2012
    Dataset authored and provided by
    LFX Insights
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    active_days, github_forks, github_stars, issues_closed, issues_opened, press_mentions, github_mentions, merge_lead_time, social_mentions, package_downloads, and 25 more
    Measurement technique
    Contributor activity over rolling windows, Repository event aggregation, Controls assessment based on documented standards, OpenSSF Criticality reference
    Description

    Comprehensive open source project metrics including contributor activity, popularity trends, development velocity, and security assessments for Plotly.js.

  4. Most used programming languages among developers worldwide 2025

    • statista.com
    + more versions
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    Statista, Most used programming languages among developers worldwide 2025 [Dataset]. https://www.statista.com/statistics/793628/worldwide-developer-survey-most-used-languages/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 29, 2025 - Jun 23, 2025
    Area covered
    Worldwide
    Description

    As of 2025, JavaScript and HTML/CSS are the most commonly used programming languages among software developers around the world, with more than 66 percent of respondents stating that they used JavaScript and just around 61.9 percent using HTML/CSS. Python, SQL, and Bash/Shell rounded out the top five most widely used programming languages around the world. Programming languages At a very basic level, programming languages serve as sets of instructions that direct computers on how to behave and carry out tasks. Thanks to the increased prevalence of, and reliance on, computers and electronic devices in today’s society, these languages play a crucial role in the everyday lives of people around the world. An increasing number of people are interested in furthering their understanding of these tools through courses and bootcamps, while current developers are constantly seeking new languages and resources to learn to add to their skills. Furthermore, programming knowledge is becoming an important skill to possess within various industries throughout the business world. Job seekers with skills in Python, R, and SQL will find their knowledge to be among the most highly desirable data science skills and likely assist in their search for employment.

  5. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
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Close
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(2025). Global Data Visualization Library Software Market Research Report: By Application (Business Intelligence, Data Reporting, Data Analytics, Web Development), By Deployment Type (On-Premises, Cloud-Based, Hybrid), By End User (Small and Medium Enterprises, Large Enterprises, Government), By License Type (Commercial, Open Source, Freemium) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2035 [Dataset]. https://www.wiseguyreports.com/reports/data-visualization-library-software-market

Global Data Visualization Library Software Market Research Report: By Application (Business Intelligence, Data Reporting, Data Analytics, Web Development), By Deployment Type (On-Premises, Cloud-Based, Hybrid), By End User (Small and Medium Enterprises, Large Enterprises, Government), By License Type (Commercial, Open Source, Freemium) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2035

Explore at:
Dataset updated
Sep 15, 2025
License

https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

Time period covered
Sep 25, 2025
Area covered
Global
Description
BASE YEAR2024
HISTORICAL DATA2019 - 2023
REGIONS COVEREDNorth America, Europe, APAC, South America, MEA
REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
MARKET SIZE 20244.96(USD Billion)
MARKET SIZE 20255.49(USD Billion)
MARKET SIZE 203515.0(USD Billion)
SEGMENTS COVEREDApplication, Deployment Type, End User, License Type, Regional
COUNTRIES COVEREDUS, Canada, Germany, UK, France, Russia, Italy, Spain, Rest of Europe, China, India, Japan, South Korea, Malaysia, Thailand, Indonesia, Rest of APAC, Brazil, Mexico, Argentina, Rest of South America, GCC, South Africa, Rest of MEA
KEY MARKET DYNAMICSgrowing demand for real-time analytics, increasing adoption of cloud-based solutions, rise in data-driven decision making, emergence of AI and machine learning, focus on enhanced data storytelling
MARKET FORECAST UNITSUSD Billion
KEY COMPANIES PROFILEDSisense, Matplotlib, IBM, Google Charts, MicroStrategy, Tableau, Plotly, Looker, Microsoft, Chart.js, Highcharts, Power BI, D3.js, TIBCO Software, Qlik
MARKET FORECAST PERIOD2025 - 2035
KEY MARKET OPPORTUNITIESGrowing demand for real-time analytics, Increasing adoption of cloud-based solutions, Rising need for data storytelling tools, Expanding use in AI and machine learning, Integration with big data technologies
COMPOUND ANNUAL GROWTH RATE (CAGR) 10.6% (2025 - 2035)
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