Data-Analysis

Introduction

This repository will be used to analyse different datasets and to derive some insights and meaning.
As we know the data is very important and playing the crucial role in the growing industry such as google,microsoft,amazon etc. so,it is really important for how to understand the data.

project structure

1.Introduction.
2.Folder structure.
3.Analysis on.
4.Generated Insights and overview.

Big data

Big data is data sets that are so voluminous and complex that traditional data-processing application software are inadequate to deal with them.
To understand the real complex scenario it is important to understand the depth of the data and for that we use data analysis techniques.

Folder Structure

1.Data Analysis(Folder)
  
  --- folder of on which the analysis is being done.
  --- Analysis # where all the analysis chart will be stored.
  --- Code # which is used in the analysis.
  --- Dataset # folder that contains dataset.
  --- Spec # folder that contains the dependencies.

Analysis on

1.Match dataset :"https://github.com/vshantam/Data-Analysis/blob/master/Data%20Analysis/Match/Dataset/Match.csv" 2.Bitcoin dataset :"https://www.quandl.com/data/BITCOINWATCH-Bitcoin-Watch"

Insights generated and overview.

1.Match datset : Go to analysis file
2.Bitcoin dataset : Go to analysis file

Note:This project is still under development.Later i will be providing the link to the dataset.