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Epi Info™ Training Software for Public Health. Course Title: Using Epi Info™ 7 Using Classic Analysis (continuation) April 17 2012. Epidemiology and Analysis Program Office. Office of Surveillance, Epidemiology, and Laboratory Services. Module 6 – Part III Outline.
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Epi Info™ Training Software for Public Health Course Title: Using Epi Info™ 7 Using Classic Analysis (continuation) April 17 2012 Epidemiology and Analysis Program Office Office of Surveillance, Epidemiology, and Laboratory Services
Module 6 – Part III Outline • Generating Graphs PowerPoint Slide Presentation • Instructor demonstration of Graphs • Students practice
Classic Analysis: Creating Graphs • You will use the GRAPH command to create graphical representations of your data. • The GRAPH command offers many types of graphs for displaying the values of one or more fields in a data table.
GRAPH Dialog Box • From the Graph dialog box, you will select a Graph Type, an X-Axis variable, a Y-Axis variable, and a Series variable by using the corresponding drop-down boxes.
Types of Graphs • BAR • Bar Graphs are used to group data together according to categories and display a bar for each value in that category. • Bar lengths represent quantities in a set of data. • Bars are color-coded according to the series represented and displayed vertically.
Types of Graphs • EPI CURVE • Epi Curve use vertical bars to represent the count or weight for each value of the main variable. • Each series results in an additional vertical bar at each point. The main variable must be numeric. • This graph differs from the bar graph in that adjacent bars represent equal ranges of the main variable.
Types of Graphs • COLUMN • Columns are generated with horizontal bars representing the count or weight of each value of the main variable (s). • PIE • A pie graph is a circular graph used for proportional assessment by comparing data elements such as percentages or counts against other data elements and against the sum of the data
Types of Graphs • LINE • Line graphs are used to determine trends and cyclic variation based on interaction of data elements. • Data points are plotted on the graph and connected with lines. • Line graphs must have numeric variables for both X and Y-axes and the X variable values are treated as continuous. • AREA • Area graphs display data sets on X-Y with the area under the line filled.
Questions? The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention. Office of Surveillance, Epidemiology, and Laboratory Services Epidemiology and Analysis Program Office