Inspiration 💡

We want to make a project which can help students in visualizing the large dataset from various online platform which provide big public dataset like kaggle, data.gov etc. We want people to understand data with ease, So we made Plo-ViDa.

What it does ❓

Plo-ViDa is a website where people can understand the data better with various graphs and charts. As we know, data is precious, so you should understand it clearly. We provide 5 types of charts and graphs so that the user can understand the data. The user can also understand the data by manipulating it in our website, User can also search any specific data. Another great feature is that the user can print the plotted graph/chart and share it with others.

How we built it 🔧🔨

For the frontend part we have used HTML, CSS, JavaScript and bootstrap framework to design our website. Then we have used CanvasJs to analyze the data and plot the graphs and charts. We have use public dataset from kaggle which are ::

  1. World Happiness report :: https://www.kaggle.com/unsdsn/world-happiness

  2. Credit Card Fraud :: https://www.kaggle.com/mlg-ulb/creditcardfraud

  3. UFO Sighting :: https://www.kaggle.com/camnugent/ufo-sightings-around-the-world

  4. Famous Drinks :: https://www.kaggle.com/ai-first/cocktail-ingredients

Challenges we ran into 🏃‍♂️

The biggest challenge was how to manage the large dataset from kaggle and how to use it properly to plot graphs and charts. Another challenge was how to efficiently use CanvasJs to plot graph. We also face difficulty while deploying our website on vercel which was tough plus using DNS was another mess, but we were able to overcome these outcomes.

Accomplishments that we're proud of 🏆

We are proud of ourselves that we are able to complete this project within the time limit. As we have leaned and use CanvasJs which is great for our knowledge, And we are happy with our results.

What we learned 🧠

We learn how to analyze big dataset and plot them in graphs and chart. We also learn how to use CanvasJs to visualize data and represent in charts and graphs. Likewise, we also learn how to handle large dataset and work with it. Furthermore, we learned how to deploy our website on the internet and then how to use DNS to connect it to our website.

What's next for Plo-ViDa (Plot and Visualize Data) ⏭

In the future we want to add a feature where the user can just put the dataset from any platform(like kaggle) and our project will analyze the data and plot various graphs and charts.

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