Dataset Overview

Size of Dataset: Total entries and variables.

Features: Description of dataset columns.

Missing Values: Count and percentage of null values across different columns.

etc.

Data Processing

Cleaning Steps: Procedures for removing duplicates and handling missing values.

Feature Selection: Criteria for choosing relevant features for analysis.

Feature Engineering: Any new metrics or features developed from existing data.

etc.

Analytical Methodology

Analysis Tools: Specify whether you are using Alteryx or another analytics tool.

Model Selection: Discussion on the choice of linear regression or other statistical models to evaluate the data.

Visualizations: Include screenshots of the data processing stages and preliminary findings.

etc.

Analysis Report

Key Insights: Identification of post types, topics, or content that tend to receive higher interaction rates.

Recommendations: Strategic advice for the marketing team based on analysis results.