INFORMATION VISUALIZATION(18CSE301J)
Akash PS

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Projects

The Website Contain the following Projects:

1) Overleaf Assignment : The aim of this assignment is to explore the issue of global poverty and its underlying causes, as well as to discuss potential solutions for reducing poverty around the world. To accomplish this goal, we will be using Overleaf software to create a well-organized and visually appealing document that presents our findings in a clear and concise manner.In this assignment, we will begin by defining what global poverty is and discussing its impact on individuals, communities, and the global economy. We will then delve into the root causes of poverty, including income inequality, lack of access to education and healthcare, and political instability.Next, we will explore various strategies for addressing global poverty, including foreign aid, microfinance, and community development programs. We will analyze the strengths and weaknesses of each approach, as well as their potential impact on poverty reduction.Finally, we will conclude by summarizing our findings and highlighting the most effective strategies for reducing global poverty. Throughout the assignment, we will use graphs, charts, and other visual aids to enhance our presentation and make our arguments more compelling. By the end of this assignment, we hope to have gained a deeper understanding of the complex issue of global poverty and the various approaches that can be taken to address it..

2) Tableau Dashboard : The dashboard showcases information on social media usage in India, revealing some interesting insights about the country's digital landscape. According to the data, Facebook is the most popular social media platform in India, with over 320 million active users. This is followed by WhatsApp, with 400 million users, and YouTube, with 448 million users.Interestingly, the data also shows that while Facebook is popular across all age groups, Instagram is more popular among younger users aged 18-24. This demographic also tends to spend the most time on social media platforms, with an average daily usage of 2.5 hours.The data also highlights regional differences in social media usage, with some states showing a preference for certain platforms over others. For example, while Facebook is the most popular platform overall, in the southern state of Tamil Nadu, the messaging app Telegram is more popular.In terms of gender, the data shows that social media usage is slightly higher among men than women. However, this gender gap is smaller in urban areas compared to rural areas.Overall, the dashboard provides valuable insights into social media usage in India, highlighting the popularity of certain platforms, regional and demographic differences, and the role of social media in shaping the country's digital landscape..

3) Python Dashboard : We have used Jupyter Notebook to visualize data using Python, which is a powerful tool for creating interactive and engaging data visualizations. Jupyter Notebook allows users to create and share interactive notebooks that combine live code, equations, visualizations, and narrative text.One of the most popular libraries used for data visualization in Python is Matplotlib, which provides a wide range of plots such as bar charts, scatter plots, line plots, histograms, and more. With Matplotlib, we can customize and annotate our plots to make them more informative and visually appealing.Another popular library for data visualization in Python is Seaborn, which builds on top of Matplotlib to provide more advanced visualizations such as heatmaps, pair plots, and violin plots. Seaborn also includes features for visualizing statistical relationships in data, making it a great choice for exploratory data analysis.Additionally, Plotly is a popular library for creating interactive visualizations in Python. It provides a wide range of chart types, such as scatter plots, line charts, bar charts, and more. Plotly also allows users to create interactive dashboards that enable users to explore data and gain insights.Overall, using Python and Jupyter Notebook for data visualization allows us to create highly customizable, interactive, and informative visualizations that enable us to better understand our data. These visualizations can help us gain insights into our data and communicate our findings to others..

4) Gephi Visualisation : Gephi is an open-source software for network visualization and analysis. It helps data analysts to intuitively reveal patterns and trends, highlight outliers and tells stories with their data. It uses a 3D render engine to display large graphs in real-time and to speed up the exploration.Gephi is a powerful software for visualizing and analyzing network data, and it can also be used to analyze social media usage in India. With Gephi, we can visualize the connections between different social media platforms, user demographics, and geographic locations.For instance, we can use Gephi to visualize the relationships between different social media platforms and the frequency of their usage by different demographic groups. We can also analyze the sentiment of social media posts and identify trending topics across different regions of India.Overall, using Gephi software for social media analysis can provide valuable insights into social media usage patterns in India, helping businesses and organizations better understand their target audience and develop effective marketing strategies.

5) D3 Visualisation : D3. js is a JavaScript library for creating visualizations like charts, maps, and more on the web. Unlike many other data visualization libraries that provide ready made charts, D3 gives you lots of creative freedom as you have total control over the visualizations you create.D3.js models can be used to create interactive visualizations that showcase the usage patterns of various social media platforms in India. These visualizations can help identify trends, such as the growing popularity of mobile-based platforms like WhatsApp and TikTok, and the regional differences in social media usage across India. Additionally, D3.js models can help businesses analyze their target audience and create targeted marketing strategies to reach potential customers on these platforms.

Overleaf Assignment

Tableau Visualisation

Python Visualisation

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Gephi Visualisation

D3 Visualisation