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Explored Exploratory Data Analysis and Ollama using the The Sims 4 DLC and Expansion Pack dataset

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charulagnihotri/Sims-4-DLC-Analysis-with-ChatBot

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This project uses the Streamlit framework to explore and visualize data related to The Sims 4 Downloadable Content (DLC) and Expansion Packs along with a chatbot.

  1. Project Structure: Here’s how the files and folders are organized: project-folder/ │ ├── app.py └── Pages/ ├── home.py ├── release_timeline.py ├── pricing_analysis.py ├── rating_visualization.py ├── chatbot.py └── best_value.py

  2. Pages Overview:

    1. home.py: The homepage with a basic introduction.
    2. release_timeline.py: Shows a Gantt chart for DLC releases and a bar chart for the number of releases per year.
    3. pricing_analysis.py: Displays a line chart for price trends over time and a bar chart for the most and least expensive DLCs.
    4. rating_visualization.py: Includes a bar chart for average user ratings and a heatmap for rating comparisons.
    5. best_value.py: Features a bar chart for top-rated DLCs and a bubble chart for the best value packs. 6. chatbot.py: Features llama3 based chatbot configured to talk about the Sims 4

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Explored Exploratory Data Analysis and Ollama using the The Sims 4 DLC and Expansion Pack dataset

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