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Visualization of Data and Analytics

The visualization of data and analytics leads to business growth and transformation. An effective data visualization helps in proper decision making and analyses its best of the inputs.

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Visualization of Data and Analytics

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  1. Everything You Need To Know about Data Visualisation

  2. Data Visualisation Data visualizationis gaining popularity with each passing year. This art and science of presenting complex information and data in a graphical or visual format, is helping businesses share data-driven insights for a visually appealing experience.

  3. Brief History ofData Visualization Data visualization has a long and rich history dating back to ancient times. One of the earliest data visualization dashboard examples is the use of pictographs, which were used by ancientcivilizations such as the Egyptians, Babylonians, and Incas to record data on everything from food supplies to astronomicalevents.

  4. What Data Visualization & Analytics Mean forBusinesses? Data visualization andAnalytics are two closely related concepts that are often used together to gain insights fromdata. It refers to the process of creating visual representations of data to help peoplebetter understand and interpret the informationpresented.

  5. Types of Data Visualization? Bar Charts Line Charts Pie Charts ScatterPlots HeatMaps TreeMaps Network Graphs GeographicMaps

  6. Is Data Visualization a Wise Investment in the Future of BigData? Yes, it is a wise investment in the future of big data. How? Let’s find out. With the increasing amount of data being generated every day, it is becomingmoreandmorechallengingtomakesenseofthisdataand gain actionableinsights.

  7. Significance of Data Visualization? Helps in understanding complexdata Increases efficiency Promotes innovation Facilitatesdecision making Enhances communication

  8. Data visualization and BigData Data visualization is a powerful tool for working with Big Data. As the name suggests, Big Data refers to datasetsthat are so large and complex that they cannot be easily processed using traditional data processingmethods.

  9. WrappingUp So far, data visualization is a powerful tool used in collaboration with Big Data, which refers to datasets that are large and complex. It allows users to explore large datasets and identify patterns and trends that may not be immediately apparent from the raw data. Thus, it simplifies the data and makes it highly accessible, allowing users to quickly identify insights, and make informeddecisions.

  10. ThankYou

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