In this data set we have perform classification or clustering and predict the intention of the Online Customers Purchasing Intention. The data set was formed so that each session would belong to a different user in a 1-year period to avoid any tendency to a specific campaign, special day, user profile, or period.

🐹 Categorizing pokémon by its inspiration origin

This is a Data Visualization App that allows the user to upload their dataset in clean format and then perform various Data Visualization like - Line Plots, Scatter Plots, Bar Plots, Box Plots, Violin Plots, Histogram Plots

NumPy and Pandas

line plot bar plot and box plot

Data analysis and plotting using R to determine which MLB team’s players are underpaid and overpaid for a given year.

This code explains how to create and customize bar charts using matplotlib library.

create barplot and heatmap

Example of visualizing a *Grouped Bars Chart* with a logarithmic Y Axis.

This respository apply a Python Matplotlib to visualize real-world pharmaceutical data. The data is sourced from Pymaceuticals Inc., a burgeoning pharmaceutical company based out of San Diego.

Ranking and Views analysis on Star Wars Episodes by Star Wars fans

Graph Plotting Implementation using Python

Exploratory analysis on the reduction in tumor volume for mice based on the experimentation with treatment of various drug regiments. Results have been explored and charted using Matplotlib

Exploring the implementation of plots in matplotlib

A demo application showcasing LightningChart JS Grouped Bar Chart

This code explains how to create and customize bar charts using matplotlib library.

Reading RDS files, processing and presentation in bar plots

House Rent Analysis ,A Real time Data analysis project

This Case Assignment is done by applying Python-Pandas & Matplotlib to visualize real-world pharmaceutical data. The data is sourced from Pymaceuticals Inc., a burgeoning pharmaceutical company based out of San Diego

A project focused on data visualization to explore various aspects of a car dataset. The visualizations provide insights into car performance, efficiency, and characteristics based on different manufacturers and features.