AnimeCiencia is a personal data analysis and machine learning project that predicts outcomes and trends in the anime world. This project utilizes both Python(In jupyter Lab) and R (in Rstudio) to explore Various dataset related to anime, such as ratings, popularity, gener and user reviews to uncover insights.
Data Collection and Preprocessing: Gather and clean anime-related datasets from various sources.
Exploratory Data Analysis (EDA): Perform EDA to understand the data's structure and uncover patterns.
Visualization: Develop interactive visualizations to present the findings in an engaging manner.
This project is organized into the following main parts
Data : Contains anime data set which is downloaded from Kaggle.
Languages : python And R.
notebooks/python: jupyter notebook for data analysis.
Anime_data_analysis.ipynb: Exploratory Data Analysis in Python.
Languages : python And R.
notebooks/rstudio: R markdown file and R script for data analysis in R.
anime_data_analysis.R Exploratory Data Analysis in R.
I would like to thank the creators of the datasets and open-source community for their valuable tools and resources.
AnimeCiencia - Bringing data science and anime together for insightful predictions and analysis!
Correlation,matrix for numerical variables
Plot of Missing Data
Thank you for visiting my AnimeCincia repository! i appriciate your intrest in my project. I hope you find it well if you have any feedback,or suggestion feel free to contribute your thoughts.