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https://github.com/germandcont/data_analysis_project
Marketing Campeign Performance Analysis
https://github.com/germandcont/data_analysis_project
Last synced: about 1 month ago
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Marketing Campeign Performance Analysis
- Host: GitHub
- URL: https://github.com/germandcont/data_analysis_project
- Owner: Germandcont
- Created: 2024-10-24T18:54:14.000Z (2 months ago)
- Default Branch: main
- Last Pushed: 2024-11-13T16:48:38.000Z (about 1 month ago)
- Last Synced: 2024-11-13T17:39:41.146Z (about 1 month ago)
- Language: Jupyter Notebook
- Size: 12 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
## Marketing Campeign Performance Analysis
In this project, my goal will be to analyze the performance of various marketing campaigns carried out by a company in Malaysia, applying data cleaning and preprocessing techniques, exploratory analysis, and visualization to extract valuable insights that could improve these strategies.
Steps to follow:
- Understand and preprocess the dataset: Identify and handle missing values, inconsistencies, and outliers.
- Perform exploratory data analysis (EDA): Discover patterns and meaningful relationships between variables.
- Visualize data: Create informative visualizations using Matplotlib, Seaborn, and Plotly.
- Draw conclusions: Interpret the results and provide recommendations based on the analysis.