Readme file

README: Social Media Behavior Analysis Project

Dataset: social_media_behavior_dataset(1).xlsx
Team: [Your Name], [Partner Name]
Date: [Submission Date]

1. Dataset Overview

  • Source: [Original dataset link if applicable, or note "Provided for assignment"]

  • Contents: 600+ social media posts (Twitter, Instagram, Reddit) with tech-related hashtags (#AI, #Python, etc.).

  • Columns:
    Date, Platform, Hashtag, Post Content, Sentiment, Likes, Shares.

2. Dataset Changes & Cleaning

Modifications Made:

  1. Removed Duplicates:

    • Deleted 7 duplicate posts with identical timestamps and content.

    • Tool: Excel’s "Remove Duplicates" function.

  2. Standardized Sentiment Labels:

    • Consolidated variations (e.g., "Pos" → "Positive"; "Neut" → "Neutral").

    • Method: Excel FIND/REPLACE and manual review.

  3. Handled Missing Values:

    • Replaced blank "Likes"/"Shares" with 0 (12 posts affected).

    • Formula: =IF(ISBLANK(B2), 0, B2).

  4. Normalized Dates:

    • Formatted all dates as YYYY-MM-DD for consistency.

Files:

  • Original Dataset: social_media_behavior_dataset(1).xlsx (unchanged).

  • Cleaned Dataset: cleaned_social_media_data.xlsx (attached).

3. File Structure

plaintext

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[YourName]_[PartnerName]_DatasetTitle/
├── Original_Data/  
│   └── social_media_behavior_dataset(1).xlsx  
├── Cleaned_Data/  
│   └── cleaned_social_media_data.xlsx  
├── Analysis/  
│   ├── Master_Document.docx  
│   └── Social_Media_Posts.pptx  
├── Visualizations/  
│   └── Platform_Comparison_Chart.jpg  
└── README.txt

4. Column Headers & Definitions

Column

Description

Format/Example

Date

Post publication date

YYYY-MM-DD (2024-02-12)

Platform

Social media platform

Twitter, Instagram, Reddit

Hashtag

Primary hashtag used

#AI, #Python, etc.

Post Content

Text content of the post

[String]

Sentiment

Post sentiment classification

Positive/Negative/Neutral

Likes

Number of likes received

Integer (e.g., 245)

Shares

Number of shares/retweets

Integer (e.g., 102)

5. Versioning & Changelog

  • v1.0 (Initial Clean):

    • Removed duplicates, standardized sentiment labels.

  • v1.1 (Final):

    • Added normalized dates, filled missing values.

6. Usage Notes

  • For Journalists:

    • Use cleaned_social_media_data.xlsx for analysis. Key columns: Sentiment, Likes, Shares.

    • Filter by platform/hashtag in Excel (Data → Filter).

  • For Developers:

    • Data is structured for pivot tables. Example: Compare avg. likes by platform.

7. Contact

File Format: Save as README.txt in your submission folder.

This README documents your workflow, ensures reproducibility, and aligns with the assignment’s data management requirements. Let me know if you'd like to add specifics!

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