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HCI+d lab. Week 04Visualization Tools and Data Formats2015 Fall human computer interaction + design lab. Guinean Revisualization Tools’d lab. Visualization Toadstools, ExcelImprovise http://www.cs.ou.edu/weaver/improvise/Polaris
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Step 1: Choose the right visualization tool that suits your needs. There are various tools available such as Tableau, Power BI, and Google Data Studio.
02
Step 2: Gather your data that you want to visualize. Ensure that the data is accurate and relevant to the insights you are trying to derive.
03
Step 3: Import the data into your chosen visualization tool. Most tools allow you to connect directly to data sources like Excel spreadsheets or databases.
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Step 4: Clean and prepare the data for visualization. This may involve applying filters, removing any outliers, or transforming the data into a suitable format.
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Step 5: Select the type of visualization you want to create. This can range from simple bar charts and pie charts to more advanced scatter plots or heat maps.
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Step 6: Customize the visualization according to your preferences. This includes choosing the color scheme, adding labels or annotations, and adjusting axis scales.
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Step 7: Explore and analyze the visualization. Use the interactive features of the tool to drill down into specific data points or apply filters to gain deeper insights.
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Step 8: Share and present your visualizations. Most tools allow you to export or publish your visuals for others to view, either as static images or interactive dashboards.
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Step 9: Regularly update and maintain your visualizations as new data becomes available or insights change over time.
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Step 10: Continuously learn and improve your visualization skills. Stay up-to-date with the latest features and techniques offered by the visualization tools you use.
Who needs visualization tools and data?
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