From the course: Delivering and Analyzing a Software Pilot: GitHub Copilot
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Visualizing data and results - Github Copilot Tutorial
From the course: Delivering and Analyzing a Software Pilot: GitHub Copilot
Visualizing data and results
- [Narrator] In this video, we have reached the moment of this course where everything starts coming together that we've gathered so far. It is time to transform our data into visualizations that help us understand the trends and patterns within it, whether it's qualitative data like sentiment analysis or quantitative metrics gathered through the GitHub Copilot API. Turning this raw data into graphs will be key to drawing insights and presenting a compelling business case for this pilot project. Let's begin with the sentiment analysis where we've taken user feedback and applied sentiment scores to each review in the previous videos. Each piece of feedback has been categorized into three possible sentiment types. Positive, negative, or neutral. These qualitative data points help us understand how users felt about the software during the pilot, whether they loved it, found it okay, or had some frustrations. This can be useful to find common areas or routinely mentioned areas of the…
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