anekar / Job_Skills

Project Information

In order to analyze what it takes to take a job at Google,
what skills to acquire, what programming languages to learn
the answers to all these questions will be included in this project.

Project source

Data have been collected from Kaggle platform

• Details about the project such as variables, formats, outliers, NA values and more can be found here Google Job skills

Language

• Ths project will be developed with R

Libraries

1. library(readexcel)
2. library(tidyverse)
3. library(xlsx)

Setup

1. Setting working directory with command setwd()
2. Importing the necessary libraries
3. Importing the dataframe
4. Start analyzing
5. Exploring insights

Data Collecting process

The dataframe has been collected by Kaggle platform, in order to collect the data that will be analyzed

Data Cleaning process

In this phase of the project specific duties must be done such as:

Changing formats of the dates

1.Detecing NA values and removing them
2.Deleting outliers
3.Changing formats
Deleting columns
4.Tidying data Making Visuals

Exploratory Data Analysis

In this phase of the project the goal is to explore the dataframe in order to discover insights and decision making results. To discover these insights boxplots, histograms and barplots will be used. etc.

Data Visualizations

In this phase of the project we need to visualize our data

Tools

In order to create visualizations i will use

• Tableau public
• Microsoft Excel