INFORMATION

VIZUALISATION 18CSE301J

TABLEUA (IPL Analysis) IPL data analysis using Tableua

.

PYTHON (Motorcycle Sales Analysis) Motorcycle Sales data analysis using Python Liberaries

.

Data Visualization using Python Python has several powerful libraries for data visualization, including Matplotlib, Seaborn, Plotly, and Bokeh. These libraries provide a variety of charts, graphs, and other visualizations to help users interpret and analyze their data. Matplotlib is a widely used library for creating static visualizations, such as line charts, scatter plots, and bar charts. Seaborn provides a higher-level interface to Matplotlib, with built-in styles and color palettes for creating more attractive and informative visualizations.
~ import pandas as pd
~ import seaborn as sns
The two lines of code that import two Python libraries, pandas and seaborn. pandas is a popular open-source data analysis and manipulation library for Python.

This dataset contains information about used motorcycles This data can be used for a lot of purposes such as price prediction to exemplify the use of linear regression in Machine Learning. The columns in the given dataset are as follows:

• name
• selling price
• year
• seller type
• owner
• km driven
• ex showroom price

D3 (Laptop and Mobile Sales Analysis) Laptop and Mobile Sales data analysis using D3

.

D3 stands for Data-Driven Documents. It is an open-source JavaScript library developed by Mike Bostock to create custom interactive data visualizations in the web browser using SVG, HTML and CSS. With the massive amount of data being generated today, communicating this information is getting difficult.D3 (Data-Driven Documents) is a powerful JavaScript library used for creating interactive and dynamic data visualizations on the web. It provides a range of tools and functions for manipulating data and generating various types of charts, including bar charts, line charts, scatter plots, and geographic maps. D3 allows users to bind data to HTML, SVG, and CSS elements and apply data-driven transformations to those elements, creating dynamic visualizations that change based on the data being visualized. D3 is a popular choice for creating data visualizations because it is flexible, customizable, and can be integrated with other JavaScript libraries and frameworks for more complex web applications. By using a variety of visualizations, the D3 project was able to provide a comprehensive analysis of Netflix's performance, highlighting key insights and trends that helped the company make data-driven decisions about its business strategies

Gephi (Sport car price Analysis using Giphy) Sport car price Analysis using Giphy

.

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.