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MBF3C: Mathematics of Personal Finance Day 3: Display DataDISPLAY DATA CREATING GRAPHS BY HAND Once survey data is collected, it needs to be in a meaningful way so that it can be easily and. THE BAR
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To fill out display data and create graphs, follow these steps:
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Collect the data that you want to display. This can be done by gathering information from various sources or using data collection tools.
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Choose the appropriate graph type based on the nature of your data and the message you want to convey. Some common graph types include bar graphs, line graphs, pie charts, and scatter plots.
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Organize your data in a structured format, such as a spreadsheet or a database, with the necessary columns and rows.
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Use a graphing software or a programming language with graphing capabilities, such as Python with libraries like Matplotlib or R with ggplot2, to create the desired graphs.
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Select the appropriate settings and options for your graphs, such as labeling the axes, adding a title, adjusting the colors, and setting the scale.
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Input your data into the graphing software or programming language and generate the graphs.
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Review the graphs to ensure they accurately represent the data and effectively communicate the intended message.
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Export or save the graphs in a suitable format, such as image files (JPEG, PNG) or interactive formats (HTML, SVG), depending on your needs.

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- Individuals and hobbyists who are interested in visualizing personal data, such as fitness or finance tracking.
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Display data creating graphs is generated by analyzing and presenting numerical data through visual graphs such as line graphs, bar graphs, pie charts, etc.
Individuals, businesses, researchers, analysts, and anyone else who needs to present data in a visual format may be required to create display data using graphs.
Display data creating graphs can be filled out using software or tools specifically designed for creating graphs, such as Microsoft Excel, Google Sheets, Tableau, or other data visualization platforms.
The purpose of creating graphs is to visually represent data in a way that is easy to understand, analyze trends, compare data sets, and present findings to others.
The information reported on display data creating graphs may include numerical data, labels, titles, legends, data sources, and any relevant annotations or explanations.
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