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Data visualization.pptx

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Data visualization provides graphical representations of data to make trends, outliers, and patterns easier to see and understand. It allows large amounts of information to be analyzed and used to make data-driven decisions. The benefits of data visualization include making information easier to understand, remember, and discover unknown facts or relationships. Tools like Tableau allow data to be visualized and interacted with to ask better questions and make better business decisions.

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Data Visualization
• Graphical representation of information and data. • Provide an accessible way to see and understand trends, outliers, and patterns in data. • Visual elements like charts, graph and maps
• Analyze massive amounts of information and make data-driven decisions. • Convert large and small data sets into visuals, • Easy to understand and process
Advantages & benefits. • To make easier in understand and remember. • To discover unknown facts, outliers, and trends. • To visualize relationships and patterns quickly. • To ask a better question and make better decisions.
Data Visualization Tools • Tools which help you to visualize all your data in a few minutes. • Data visualization allows you to interact with data. • Google, Apple, Facebook, and Twitter all ask better a better question of their data and make a better business decision by using data visualization.
Data visualization tools : • Tableau • Infogram • Chartblocks • Datawrapper • Plotly • RAW • Visual.ly • D3.js • Ember Charts • NVD3
Types of data visualization • Charts • Tables • Graphs • Maps • Info graphics • Dashboards
Tableau • Business & Data Visualization Tool • Deploy in Quick • Easy to Learn • Fastest and Easiest way to share analytics in the cloud. • Explore & Analyze data with simple drag and drop Operation
• Create and distribute an interactive and shareable dashboard • Depict the trends, variations, and density of the data in the form of graphs and charts. • Connect to files, relational and Big Data sources to acquire and process data.
• Data blending and Real-time collaboration • Businesses, Academic researchers, and many Government organizations. for visual data analysis. • Leader Business Intelligence and Analytics Platform.
Feature • Speed of Analysis • Self-Reliant • Visual Discovery • Blend Diverse Data Sets • Architecture Agnostic • Real-Time Collaboration • Centralized Data
Design Flow • Connect Data Source • Get all data • Enhance • worksheet • Dashboard • Story
Data Type
Show Me
Data visualization.pptx
Data visualization.pptx

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Data visualization.pptx

  • 2. • Graphical representation of information and data. • Provide an accessible way to see and understand trends, outliers, and patterns in data. • Visual elements like charts, graph and maps
  • 3. • Analyze massive amounts of information and make data-driven decisions. • Convert large and small data sets into visuals, • Easy to understand and process
  • 4. Advantages & benefits. • To make easier in understand and remember. • To discover unknown facts, outliers, and trends. • To visualize relationships and patterns quickly. • To ask a better question and make better decisions.
  • 5. Data Visualization Tools • Tools which help you to visualize all your data in a few minutes. • Data visualization allows you to interact with data. • Google, Apple, Facebook, and Twitter all ask better a better question of their data and make a better business decision by using data visualization.
  • 6. Data visualization tools : • Tableau • Infogram • Chartblocks • Datawrapper • Plotly • RAW • Visual.ly • D3.js • Ember Charts • NVD3
  • 7. Types of data visualization • Charts • Tables • Graphs • Maps • Info graphics • Dashboards
  • 8. Tableau • Business & Data Visualization Tool • Deploy in Quick • Easy to Learn • Fastest and Easiest way to share analytics in the cloud. • Explore & Analyze data with simple drag and drop Operation
  • 9. • Create and distribute an interactive and shareable dashboard • Depict the trends, variations, and density of the data in the form of graphs and charts. • Connect to files, relational and Big Data sources to acquire and process data.
  • 10. • Data blending and Real-time collaboration • Businesses, Academic researchers, and many Government organizations. for visual data analysis. • Leader Business Intelligence and Analytics Platform.
  • 11. Feature • Speed of Analysis • Self-Reliant • Visual Discovery • Blend Diverse Data Sets • Architecture Agnostic • Real-Time Collaboration • Centralized Data
  • 12. Design Flow • Connect Data Source • Get all data • Enhance • worksheet • Dashboard • Story