Exploratory analysis on Video Games Sales data

Name : ABUBAKKAR SIDDIQUE

Qualification : Bachelor of Engineering (BE)

Stream : Computer Science and Engineer (CSE)

University : Visvesvaraya Institute of Technology

Location : Bangalore, KA, INDIA

This Project is to perform the analysis on the Video Games Sales dataset.
Here we use various libraries of Python for visualization of Data.
The Dataset which is Used in Project is from Data World (👈 Click to Download)

The Libraries I used in Project are:

Matplotlib Explore here
Seaborn Explore here
Numpy Explore here
Pandas Explore here
Jovian Explore here

To install all required libraries, run the following Command:

pip install matplotlib seaborn numpy pandas plotly jovian --upgrade

Know About Data visualization:

The Data visualization is the graphic representation of data. It involves producing images that communicate relationships among the represented data to viewers. Visualizing data is an essential part of data analysis and machine learning. In this tutorial, we'll use Python libraries Matplotlib and Seaborn to learn and apply some popular data visualization techniques.

Their Following Tasks are Implemented in the Project:

Let's Get Dive into the Project !!

project_name = "analysis-on-videogames-sales-data"

!pip install jovian --upgrade -q

import jovian
import matplotlib.pyplot as plt
import seaborn as sns
import plotly.graph_objs as go
import numpy as np
from plotly.offline import init_notebook_mode,iplot
import pandas as pd
%matplotlib inline

Data Preparation and Cleaning

Here various modes of displaying dataset which is in CSV format.
First step is to load the data using pandas read_csv function. the data is stored in mutidimensional table called as dataframe.

Abubakkar Siddique3 years ago

Analysis On Videogames Sales Data Abubakkar

Exploratory analysis on Video Games Sales data

Let's Get Dive into the Project !!

Data Preparation and Cleaning