| Project | |||
| Plotting Basics | |||
| Author | Expertise | Tool | Industry |
| Darryl Buswell | Exploratory Analysis | Python | Environment |
| Description | |||
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Use of the Matplotlib module to plot charts in Python of forest fire data from Montesinho National Park. |
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| Dataset | |||
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Meteorological and forest burning data for the northeast region of Portugal, including temperature, humidity, wind speed and area of forest burned. [link] |
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| Project | |||
| Data Visualization and Exploration | |||
| Author | Expertise | Tool | Industry |
| Darryl Buswell | Exploratory Analysis | Python | Education |
| Description | |||
|
Application of Python, Pandas and Matplotlib to effectively utilize visualization to explore employment data from the American Community Survey for 2010 to 2012. |
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| Dataset | |||
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American Community Survey (ACS) results for 2010 to 2012 from a survey on job outcomes for recent college graduates based on the major they studied in college. [link] |
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| Project | |||
| Creating Compelling Visualizations | |||
| Author | Expertise | Tool | Industry |
| Darryl Buswell | Exploratory Analysis | Python | Health Care |
| Description | |||
|
Prodution of a visually appealing histogram plot in Python using Seaborn and data from the National Survey of Family Growth, 2002 to 2003. |
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| Dataset | |||
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Survey data from the National Survey of Family Growth from January 2002 to March 2003 which contains data on mothers age, pregnancy duration, and birth weight. [link] |
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| Project | |||
| Introduction to Matplotlibs Internals | |||
| Author | Expertise | Tool | Industry |
| Darryl Buswell | Exploratory Analysis | Python | |
| Description | |||
|
Use of different components of the Matplotlib module to create customizable data visualizations in Python. |
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| Dataset | |||