Data visualization-tools
Download as PPTX, PDF3 likes3,320 views
The document discusses data visualization tools. It begins with an overview of data visualization, describing how visualizing data can help identify patterns and trends. It then discusses advantages like aiding quick understanding. Five types of data visualization are mentioned but not described. The document primarily focuses on reviewing popular data visualization tools like Tableau, FusionCharts, Datawrapper, Highcharts, Excel, Sisense, Plotly, and others. It provides brief descriptions of each tool's features and capabilities. In closing, it references additional resources on the topic.
Data visualization-tools
- 1. DATA VISUALIZATION AND TOOLSPresented by: Roland R. Fajardo MAN, MIM
- 2. TOPICS Overview of Data Visualization Advantages of Data Visualization 5 Types of Data Visualization Data Visualization Tools
- 3. OVERVIEW OF DATA VISUALIZATION Decades of research studies in psychology and other fields show that the human mind can process visual images such as charts much faster than it can interpret rows and numbers. Every bit of data carries a story with it. Visualizing data brings them to life Data visualization refers to the presentation of data in a graphical format. It is a technology that lets corporate executives and other end users see data, to better understand information in context. David McCandless “Visualizing information can give us a very quick solution to problems. We can get clarity or the answer
- 4. OVERVIEW OF DATA VISUALIZATION It assists people in understanding the significance of data by projecting it in a visual context. Trends, patterns and correlations that might go unnoticed in a usual text-based data presentation can be identified and located easily with data visualization software.
- 5. ADVANTAGES OF DATA VISUALIZATION Data visualization provides with a quick, clear understanding of information. Help decision makers to identify emerging trends and act quickly based on what they see. The infographics and data allows the reader to identify relationship and patterns within digital assets Visualizing data provides reader with analysis at various level of detail.
- 6. 5 TYPES OF BIG DATA VISUALIZATION CATEGORIES
- 7. 5 TYPES OF BIG DATA VISUALIZATION CATEGORIES
- 8. 5 TYPES OF BIG DATA VISUALIZATION CATEGORIES
- 9. 5 TYPES OF BIG DATA VISUALIZATION CATEGORIES
- 10. 5 TYPES OF BIG DATA VISUALIZATION CATEGORIES
- 11. THE TOP 7 DATA VISUALIZATION TOOLS FOR 2018 BY JAMES WARNER , LAST MODIFIED DEC 01, 2017 • Tableau incorporates an array of advanced database solutions like Amazon AWS, SAP, Teradata, etc. • Compatible with artificial intelligence and machine-learning applications. • Dashboard can be produced and shared with partners without the need for programming skills. • Tableau Desktop is a self-service analytics solution that allows you to look at data and answer questions rapidly. • Tableau Server enables you to publish dashboards from your Tableau Desktop on any web browser or mobile-based device. • Tableau is proven to very effective in producing visuals and graphics that make data easily
- 12. THE TOP 7 DATA VISUALIZATION TOOLS FOR 2018 BY JAMES WARNER , LAST MODIFIED DEC 01, 2017• FusionCharts is a JavaScript-based visualization tool capable of creating over 90 different types of charts. • It incorporates numerous platforms and frameworks, offering much required flexibility. • One of its most unique features is the live example templates. • Users do not need to build their visualization from scratch; rather, they choose their preferred
- 13. THE TOP 7 DATA VISUALIZATION TOOLS FOR 2018 BY JAMES WARNER , LAST MODIFIED DEC 01, 2017• With clean, minimal interface, very user friendly because no code needed. • Copy & Paste the data, Visualize, Publish • Simply upload CSV data and produce plain charts and maps, which are can be easily integrated into reports. • This tool has been gaining popularity especially in media organizations that employ it to
- 14. THE TOP 7 DATA VISUALIZATION TOOLS FOR 2018 BY JAMES WARNER , LAST MODIFIED DEC 01, 2017• Highcharts is the go-to when quick and flexible solutions are needed at hand. • It requires a minimal amount of specialist data visualization training for the user to access it. • The feature that sets it apart from its competitors is its cross-browser support, which means anyone is able to access and run the visualizations, which is unusual for visualization tools.
- 15. THE TOP 7 DATA VISUALIZATION TOOLS FOR 2018 BY JAMES WARNER , LAST MODIFIED DEC 01, 2017 • Incorporates over 150 audit tools. • It runs on top of Excel, which allows users to easily analyze data and produce significant visualization without requiring much specialization training. • It offers a free trial, and its data visualization features include analytics, filtered views, relational display and simulation models.
- 16. THE TOP 7 DATA VISUALIZATION TOOLS FOR 2018 BY JAMES WARNER , LAST MODIFIED DEC 01, 2017•Has a simple, friendly drag-and-drop interface, which is able to create more complex and layered charts and graphics, along with interactive visuals, without requiring much effort. •It incorporates a full stack analytics platform. •With Sisense, it is possible to gather numerous data sources into one single, easily accessible repository, where it can be reviewed instantly through dashboards, regardless of whether it is a big data-sized set. •These dashboards can then be sent across different organizations enabling employees, even the ones who are nontechnical-based,
- 17. THE TOP 7 DATA VISUALIZATION TOOLS FOR 2018 BY JAMES WARNER , LAST MODIFIED DEC 01, 2017• Plotly is built on the base of the open source D3.js visualization libraries. • It can produce more polished and complicated visualizations as it integrates Python, R, Matlab and other similar analytics- related programming languages. • The software is loaded with a user-friendly support
- 18. 9 BEST FREE DATA VISUALIZATION TOOLS BY CRISTOPHER MARTIN • This free tool allows you to create a huge variety of interactive charts that allow stakeholders to dive into the data themselves. • Good for large dataset
- 19. 9 BEST FREE DATA VISUALIZATION TOOLS BY CRISTOPHER MARTIN • Chart can be embedded into your website simply by copying the relevant HTML & JavaScript. • This means that stakeholders can access the data from wherever they are in the world.
- 20. 9 BEST FREE DATA VISUALIZATION TOOLS BY CRISTOPHER MARTIN • It is a JavaScript library that manipulates datasets based on your conditions, and predefined templates. • The library is vast and ranges from simple projects such as box plots to more complex applications such as interactive cross filters and Sankey diagrams.
- 21. 9 BEST FREE DATA VISUALIZATION TOOLS BY CRISTOPHER MARTIN •RAW is a free application that makes it easy to use the D3 JavaScript library. •Simply copy your data into the online editor, choose a chart type and map your axis. •The tool comes with a range of customization options that allow you to style each of your creations. •Allows to use the embed code to add the graph to your website and show off your research results. •The only downside to RAW is the limited graph library. •There are currently 16 options to choose from. However, if you are confident with JavaScript, you can add your own and still make use of the WYSIWIG builder to
- 22. 9 BEST FREE DATA VISUALIZATION TOOLS BY CRISTOPHER MARTIN • Fusion Tables are an experimental app from Google. • What makes Fusion Tables unique is the ability to integrate your data with thousands of publicly available data sets already hosted on the Fusion Tables website. • This collaborative nature allows you to build stunning visualizations, whilst adding even more insight to your research by accessing new data. • Fusion Tables are hosted on your Google Docs account, meaning you can access them anywhere, share them with stakeholders and even make them public for others to build on and use in their own research projects.
- 23. 9 BEST FREE DATA VISUALIZATION TOOLS BY CRISTOPHER MARTIN • Visualization Free - Online platform that displays your data in an advanced visualization supported by Flash & HTML5. • It has high degree of customization, you’ll also benefit from highly interactive creations that give viewers the opportunity to edit the data sets themselves.
- 24. 9 BEST FREE DATA VISUALIZATION TOOLS BY CRISTOPHER MARTIN • Infogram is the first hybrid data visualization tool. • Use it to create both infographics and standalone charts that have visual impact and drive stakeholder engagement. • A free account limits you to 10 creations, and 10 custom image uploads (as well as restrictions on how your graphs can be viewed). • But, you’ll still get access to 30 templates and a range of graphs, each of which are simple to build – saving you precious time.
- 25. 9 BEST FREE DATA VISUALIZATION TOOLS BY CRISTOPHER MARTIN • Templates are split into 4 categories: infographics, reports, posters and presentations. • A free account grants you access to the full editor functionality, as well as unlimited creations and downloads.
- 26. 9 BEST FREE DATA VISUALIZATION TOOLS BY CRISTOPHER MARTIN • It has a eccentric library of features, fonts and icons – it’s easy to present your research findings in an engaging format.
Editor's Notes
- #6: we can visualize large volumes of data in an understandable and coherent way, which in turn helps us comprehend the information and draw conclusions and insights. This helps us save time and lets us solve problems more efficiently. These trends make more sense when they are graphically represented; that is, visuals and diagrams make it easier for us to detect highly correlated parameters. Some relationships are obvious, but others must be identified and highlighted to help our customers focus on a specific data point, which may influence the decisions they make. since discerning trends in the data gives us a competitive advantage when it comes to factors that may be affecting product quality, or that may help us solve larger problems. People want evidence of underlying analysis; even if they don’t understand the breakdown of the analytics, they want evidence that there is data behind it, because these stories are more convincing than a mere personal