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Data table for Figure 28. Prescription drug use in the past 30 days among adults aged 5564, by number of drugs and selected drug class: United States, 19992002 and 20092012 Excel and PowerPoint: http://www.cdc.gov/nchs/hus/contents2014.htm#fig28 19992002 Characteristic20092012PercentSEPercentSE26.9 55.4 17.71.5 1.8 1.724.2 55.6 20.31.4 1.4 1.3. .41.3 20.62.0 1.745.0 31.82.2 1.7. .9.0 16.81.6 1.416.0 15.01.2 1.7. .10.3 10.01.2 1.114
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How to Fill Out a Data Table for Figure:

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Begin by determining the important variables or parameters that you want to include in the data table for the figure. These variables should be relevant to the figure you are creating and will help in presenting and analyzing the data effectively.
02
Create column headers in the data table to clearly label each variable. These headers should be descriptive and provide a clear understanding of what each column represents. For example, if you are analyzing the growth of different plant species over time, the column headers could include variables such as "Plant Species," "Time Period," and "Growth Rate."
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Populate the data table by filling in the corresponding values under each column header. Make sure to enter accurate and reliable data to ensure the integrity and validity of the information presented in the figure. Depending on the complexity of your study or experiment, you may need to collect data from multiple sources or experiments and consolidate it into a single data table.
04
Consider organizing the data table in a logical and intuitive manner. For instance, if you are studying the effect of different variables on plant growth, you could group the data according to each plant species and arrange the time periods chronologically.
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You may also include additional columns in the data table to provide further information or context related to the figure. This can include columns for standard deviations, error bars, statistical significance, or any specific calculations that are necessary for your analysis.
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Double-check your data table for any errors or inconsistencies. It is crucial to review the data entries and ensure their accuracy before proceeding to create the figure.

Who Needs a Data Table for Figure:

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Scientists and Researchers: Data tables for figures are essential for scientists and researchers conducting experiments or studies. These tables allow for the systematic organization and presentation of data, facilitating data analysis and interpretation.
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In summary, filling out a data table for a figure involves determining the variables, creating column headers, populating the table with accurate data, organizing it logically, and reviewing for errors. Data tables are essential for scientists, students, educators, decision-makers, and analysts to analyze and interpret data effectively.
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Data table for figure is a structured format used to present numerical data in a visual and organized manner.
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