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DATA VISUALIZATION WEB RESOURCES Sara McGuire & Stephanie FluegemanMESSAGECDC Health Communication Resources http://www.cdc.gov/healthcommunication/toolstemplates/ Free tools and templates for health
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How to fill out data vizualization

01
To fill out data visualization, follow these steps:
02
Collect and organize the data you want to visualize.
03
Determine the purpose and objective of your visualization.
04
Choose the appropriate type of visualization based on your data and goal.
05
Select the right tools or software for creating visualizations.
06
Design your visualization by selecting colors, fonts, and layout that effectively convey your message.
07
Use suitable charts, graphs, or maps to represent your data accurately.
08
Add labels, titles, and legends to provide context and explanation for your visualization.
09
Test and validate your visualization to ensure it accurately represents the data.
10
Share your data visualization with your intended audience through various mediums such as reports, presentations, or dashboards.
11
Continuously analyze and update your data visualization as new data becomes available or objectives change.

Who needs data vizualization?

01
Data visualization is beneficial for a wide range of individuals and industries including:
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- Business professionals who need to present complex data in a visually appealing and easy-to-understand manner.
03
- Data analysts and scientists who use visualizations to explore and uncover patterns, trends, and insights in data.
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- Researchers who want to communicate their findings effectively to a broader audience.
05
- Marketers who utilize data visualizations to track campaign performance, customer behavior, and market trends.
06
- Government agencies and policymakers who rely on visualizations to make data-driven decisions and communicate policies.
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- Educators who use visualizations to enhance learning and facilitate understanding of complex concepts.
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- Journalists who use data visualizations to support their stories and engage readers.
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- Anyone who wants to gain insights and make data-driven decisions based on information that is easily interpretable and digestible.
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Data visualization is the graphical representation of information and data. It uses visual elements like charts, graphs, and maps to help viewers understand trends, patterns, and correlations in the data.
Anyone who wants to present data in a visual format to effectively communicate information.
To fill out data visualization, one can use various tools and software like Microsoft Excel, Tableau, Power BI, etc. to create charts, graphs, and other visual elements.
The purpose of data visualization is to make complex data more understandable and to help viewers identify patterns and trends in the information more easily.
The information reported on data visualization depends on the data being analyzed, but typically includes data points, labels, and legends to help interpret the visual elements.
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