https://github.com/mastermindromii/email-thread-summary-analysis

Welcome to Day 15 of our data exploration journey! In this session, we focused on Exploratory Data Analysis (EDA) of the "Email Thread Summary" dataset, aiming to gain valuable insights and uncover trends.
https://github.com/mastermindromii/email-thread-summary-analysis

Last synced: 9 days ago
JSON representation

Welcome to Day 15 of our data exploration journey! In this session, we focused on Exploratory Data Analysis (EDA) of the "Email Thread Summary" dataset, aiming to gain valuable insights and uncover trends.

• Host: GitHub
• URL: https://github.com/mastermindromii/email-thread-summary-analysis
• Owner: MasterMindRomii
• Created: 2023-10-30T17:06:41.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2023-10-30T17:19:44.000Z (about 1 year ago)
• Last Synced: 2023-10-30T18:25:29.366Z (about 1 year ago)
• Language: Jupyter Notebook
• Size: 23.2 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Day 15 - Exploratory Data Analysis (EDA) of Email Thread Summary Dataset

Welcome to Day 15 of our data exploration journey! In this session, we focused on Exploratory Data Analysis (EDA) of the "Email Thread Summary" dataset, aiming to gain valuable insights and uncover trends.

## Project Overview

- Today's exploration centers around the "Email Thread Summary" dataset, where we aim to understand the contents of email threads through data analysis.

- The dataset offers a rich source of information about email conversations, their summaries, and patterns.

- Our primary objective is to perform EDA, visualize key aspects of the data, and extract meaningful insights.

## Key Takeaways

- We loaded the "Email Thread Summary" dataset and extracted the column names to understand its structure.

- Through data visualization, we uncovered patterns related to email thread summaries, such as common themes and topics.

- EDA provided an initial understanding of the data, which will be instrumental in further analysis.

## What's Next?

Our data exploration journey is far from over! In the days ahead, we will continue to explore diverse datasets, apply advanced analytical techniques, and unravel exciting insights from various data sources.

Stay tuned for more data discoveries and enriching visualizations in the upcoming sessions!

📈📊📧🖥️