https://github.com/akash1070/data-science-virtual-internship-by-accenture

data merging and data cleaning in python as well as data visulaisation with dashboard in Tableau.
https://github.com/akash1070/data-science-virtual-internship-by-accenture

data-analysis data-cleaning data-science python3 tableau visualization

Last synced: 3 months ago
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data merging and data cleaning in python as well as data visulaisation with dashboard in Tableau.

• Host: GitHub
• URL: https://github.com/akash1070/data-science-virtual-internship-by-accenture
• Owner: Akash1070
• Created: 2022-09-25T14:14:39.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2022-09-25T17:06:19.000Z (almost 4 years ago)
• Last Synced: 2025-08-04T01:53:59.640Z (12 months ago)
• Topics: data-analysis, data-cleaning, data-science, python3, tableau, visualization
• Language: Jupyter Notebook
• Homepage:
• Size: 6.18 MB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# **Data Science Virtual Internship By Accenture**

## Background

Social Buzz is a media company who want:

* Merging of sample data set tables

* An analysis of their content categories that highlights the top 5 categories with the largest aggregate popularity

## Task

In this project, I have done data merging and data cleaning in python as well as data visulaisation with dashboard in Tableau.

## Dashboard

[Interactive Version](https://public.tableau.com/app/profile/akash.kumar6413/viz/DataVisualizationOfStoryBuzz/Dashboard1#1)

## Data Source: 

https://www.theforage.com/modules/hzmoNKtzvAzXsEqx8/zjxeuu5mYzBuZw3fe?ref=D9gg2ESnLeyxJNQgv

## Authors

- [@Akash Kumar Jha](https://github.com/Akash1070)

## Deployment

  1. Importing Necessary Libraries

  2. Load All Datasets

  3. Data Cleaning

  4. Data Analysis

  5. Data Visualization using Tableau

  6. Presentation

  

## Installation

To install the libraries used in this project. Follow the 

below steps:

```bash

import pandas as pd

import numpy as np

import matplotlib.pyplot as plt

%matplotlib inline

import seaborn as sns

```

    

## Running Flask Api

To run tests, run the following command

```bash

  python app.py

```

## 🚀 About Me

Data Scientist Enthusiast | Petroleum Engineer Graduate | Solving Problems Using Data 

# Hi, I'm Akash! 👋

## 🔗 Links

[![github](https://img.shields.io/badge/github-000?style=for-the-badge&logo=ko-fi&logoColor=white)](https://github.com/Akash1070)

[![linkedin](https://img.shields.io/badge/linkedin-0A66C2?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/akashkumar107/)

## Tech Stack

![Logo](https://businesstoys.in/assets/programs/full-stack-data-science-professional-program/tools.png)

## Other Me

👩‍💻 I’m interested in Petroleum Engineering

🧠 I’m currently learning Data Scientist | Data Analytics | Business Analytics

👯‍♀️ I’m looking to collaborate on Ideas & Data

## 🛠 Skills

1. Data Scientist

2. Data Analyst

3. Business Analyst

4. Machine Learning 

## Future Plans 

⚡️ Looking forward to help drive innovations into your company as a Data Scientist

⚡️ Looking forward to offer more than I take and leave the place better than i found