Social Media Engagement: ML

Photo by Adem AY on Unsplash

Social Media Engagement: ML

Challenge Title: Social Media Engagement Analysis


Conduct a data analysis to gain insights into social media engagement based on a provided dataset.


You can use a hypothetical dataset or provide a link to a real dataset related to social media engagement. The dataset should include variables such as post date, likes, comments, shares, and possibly user demographics.


1. Data Exploration:

- Load and explore the dataset. Check for missing values, duplicates, and outliers.

- Provide a brief summary of the dataset's structure and key variables.

2. Temporal Trends:

- Analyze how engagement metrics (likes, comments, shares) vary over time.

- Identify any patterns or trends in social media activity.

3. User Demographics:

- If demographic information is available, analyze how engagement differs across user groups (age, gender, location).

4. Popular Content:

- Identify the most engaging content types (e.g., photos, videos, text posts).

- Determine if certain types of content receive more engagement than others.

5. Correlation Analysis:

- Investigate correlations between different engagement metrics.

- Explore whether high likes correlate with high comments or shares.

6. Influencer Impact:

- If applicable, analyze the impact of influencers on engagement.

- Identify top influencers and assess their contribution to overall engagement.

7. Data Visualization:

- Create visualizations (e.g., line charts, bar graphs) to effectively communicate your findings.

- Provide insights through storytelling with the help of visualizations.

Submission Guidelines:

- Participants should submit their analysis along with visualizations and key insights.

- Encourage participants to share their code if they used tools like Python, R, or any other data analysis tool.

Prizes (if applicable):

Consider offering small prizes or shoutouts for the most insightful analysis, creative visualizations, or any other criteria you find relevant.

This challenge aims to improve participants' data analysis skills while providing valuable insights into social media engagement patterns. Feel free to adapt the challenge based on your audience's preferences and the data you have available.