Visual Explorer: Uncovering Insights from Data

Inspiration

We wanted to know which companies were laying off the most employees and which industry was the most affected by the recent layoffs. We knew that data visualization would be the key to uncover these insights from the raw data. We planned to use different types of visualizations like bar charts, line graphs, and maps to display the data in different ways and gain a deeper understanding of the situation. By visualizing the data in this way, we could quickly identify patterns and trends that would inform our understanding of the layoffs. We came across a network graph of different Twitch streamers and their connections to each other. The graph showed how streamers interacted with each other and how popular they were. We were fascinated by the insight it provided and wanted to see if we could replicate it with Hollywood actors. We wanted to know how actors were connected to each other and which ones were the most popular.

What it does

There are several python files that are there to compile the data through the use of pandas to contain all the data in a data frame. We use matplot to visualize the data and we saved the pictures. Once you run the React environment of the web page, you can locate the different pictures that were generated by the programs

How we built it

We built it through the use of python, pandas, matplot, react, and other industry-standard tools.

Challenges we ran into

We ran into many small issues when it came to plotting the data frame and trying to reduce the size of the data frame into something easier to understand, thus making a clearer visual once we plotted it with matplot

Accomplishments that we're proud of

We're proud of the Bubble Charts we were able to produce through the python program. There were many small issues and we spent a few hours debugging tiny mistakes here and there. As such once we had it working as expected, we were overjoyed by our accomplishment after hours of hard work.