Compile and present the data that will inform your project. Examples: pie charts, bar charts, line charts, column charts, poll results, survey results, trend graphs, timelines, raw data table, summary table, narrative summary table, etc. Briefly introduce your data, present your data, then write a 200-word explanation of the data type and why this type of data is beneficial for your project. Example data types: primary, secondary, qualitative, quantitative, categorical, mixed, cross-sectional, longitudinal, etc. Incorporate concepts and key terms from the course.
Examples:
· Compile various poll results into a bar graph.
· Compile multiple financial results to develop a trend graph.
· Annotate studies in a narrative summary table.
· Create a timeline graph of historical events.
· Develop a bar graph of demographics.
· Compile raw data into a table.
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Compile and present the data that will inform your project. Examples.docx
1. Compile and present the data that will inform your project.
Examples: pie charts, bar charts, line charts, column charts, poll
results, survey results, trend graphs, timelines, raw data table,
summary table, narrative summary table, etc. Briefly introduce
your data, present your data, then write a 200-word explanation
of the data type and why this type of data is beneficial for your
project. Example data types: primary, secondary, qualitative,
quantitative, categorical, mixed, cross-sectional, longitudinal,
etc. Incorporate concepts and key terms from the course.
Examples:
· Compile various poll results into a bar graph.
· Compile multiple financial results to develop a trend graph.
· Annotate studies in a narrative summary table.
· Create a timeline graph of historical events.
· Develop a bar graph of demographics.
· Compile raw data into a table.
