# Difference: PlottingGroupLab (7 vs. 8)

#### Revision 82019-04-23 - JimSkon

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 META TOPICPARENT name="IntroToCSF2018"

# Plotting Group Lab

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Moodle (Each student must turn in the groups work.)

# Goal

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To give practice in creating useful graphs from data. Your goal is to make a useful graph for several data files. You will be using Anaconda. You can use the lab systems, or install is using these instructions: Anaconda and Spyder
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To give practice in creating useful graphs from data. Your goal is to make a useful graph for several data files. You will be using Anaconda. You can use the lab systems, or install it using these instructions: Anaconda and Spyder

### Resources

CollegeInSight - a source of data about colleges and universities

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Open Anaconda, and create a new program. You should create a Python folder in your network drive, and save the new program to there, and name it FinancialAid.csv. You can download the file "FinancialAid.csv" by clicking on the link above, and then saving it to a folder. Use the csv reader learned earlier ( CVS Read) to bring the data into your program.
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Discuss the meaning of the data. Look at the plot examples in matplotlib and discuss possible ways to display this data that effectively communicates somehting interesting about the dat. Your group should consider several options, and decide (and record) what your goal is for this this chart, and pick that chart. Then implement your design, including correct scaling, data labels, and axis labels.
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Discuss the meaning of the data. Look at the plot examples in matplotlib and discuss possible ways to display this data that effectively communicates some aspect of this data. Your group should consider several options, and decide (and record) what your goal is for this this chart, and pick that chart. Then implement your design, including correct scaling, data labels, and axis labels.
You will demonstrate your solution in class, and turn in code on moodle (each student).
###### Step 2
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 Ohio Wesleyan University 2012-13 39150 364 537
CostAndCompletionRate.csv
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Here the data is a bit more complicated. Consider a simple graph that you can make a point with for this data. Preprocess the data into a simplified form (programmatically, not by hand). Your goal is to distill the data down to a simple graph to justify the approach. Then make a grph that makes an impact.
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Here the data is a bit more complicated. Consider a simple graph that you can make a point with for this data. Preprocess the data into a simplified form (programmatically, not by hand). Your goal is to distill the data down to a simple graph that meets the goal for your graph. Then make a graph that makes an impact, that get the viewer thinking about some relationship in the graph.

For example you could try to show the how the different schools rate of graduation differs, and perhaps coorelate that with cost.

###### Step 4

Go to CollegeInSight. Select the "Explore all data" option. Then explore the options. You can pick one or more schools, one or more data variables. You should find some interesting data selctions, and produce two more (based on different data) graphs. For each have a goal in mind, which you should state in the write up.

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