Watch The Demonstration Video On How To Work With External D

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1. Watch the demonstration video on how to work with external data .(9:49) 2. Go to the Center for Disease Control WONDER site for online databases: wonder.cdc.gov/ 3. Experiment with the data sets that are available. Run a query on a set of your choosing. 4. Export the data. It will be exported as a TXT file. 5. Import the TXT file to an Excel file.

Paper For Above instruction

Working with external data is a crucial skill in data analysis, enabling researchers and analysts to leverage diverse datasets for comprehensive insights. The demonstration video provides a step-by-step guide on how to efficiently access, manipulate, and utilize external data sources. This paper elaborates on the process of working with external data, specifically focusing on data extraction from the CDC WONDER database, exporting the data, and importing it into Excel for further analysis.

The first step involves familiarizing oneself with the online database platform, in this case, CDC WONDER (wonder.cdc.gov). This portal offers a wide array of health-related datasets, such as disease prevalence, mortality rates, and other health indicators across different regions and demographics. The demonstration video guides users through navigating the interface, selecting relevant datasets, and constructing queries tailored to specific research questions.

To experiment with the datasets, users should explore the available filters and options to craft precise queries. For example, a user interested in tracking the incidence of a particular disease in a specific age group and geographic location can select those parameters and run the query. This process involves choosing the appropriate data categories, time frames, and demographic filters. The video emphasizes the importance of understanding dataset structures to obtain meaningful results.

Once the query produces the desired results, the next step is exporting the data. The CDC WONDER platform allows exporting the dataset in various formats, with the default being a TXT (tab-delimited text) file. Exporting data in this format ensures compatibility with multiple data analysis tools, including Excel. This format preserves data integrity and structure, making subsequent analysis smoother.

Importing the TXT file into Excel is a straightforward process. Users can open Excel and use the "Import" feature, choosing the Text/CSV option. The import wizard guides users through specifying the delimiter type—commonly tabs in TXT files—and previews the data structure. Properly importing the data ensures that each variable is correctly placed into its respective column, facilitating effective analysis.

This process—querying a dataset, exporting a TXT file, and importing it into Excel—demonstrates a practical approach to handling external data. Such skills are invaluable in many fields, including public health, epidemiology, and social sciences, as they allow analysts to efficiently incorporate external datasets into their workflows. Mastery of these steps enhances the ability to perform more complex analyses, such as trend analysis, visualization, and statistical testing.

Overall, working with external data involves understanding the source platform, selecting and customizing datasets according to research needs, exporting data in compatible formats, and importing it into analysis tools. The demonstration video provides an essential overview of these steps, empowering users to utilize external data sources effectively for informed decision-making and research.

References

  • Centers for Disease Control and Prevention (CDC). (2023). CDC WONDER Online Database. https://wonder.cdc.gov/
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  • Evernote, J. (2020). Data Import Procedures in Excel. Microsoft Support. https://support.microsoft.com
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