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dimasrepo/README.md

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Introduction

A variety of data science projects are available for exploration, demonstrating skills in data analysis and visualization to extract valuable insights and address real-world issues. Each project highlights a dedication to using data science techniques both effectively and creatively.

Languages and Tools 📖

Languages :

Python R SQL
Python R SQL

Tools :

Power BI Tableau Vscode RStudio Conda Jupyter Docker Apache Superset SQLite PostgreSQL Apache Airflow
Power BI Tableau Vscode RStudio Conda Jupyter Docker Apache Superset SQLite PostgreSQL Apache Airflow

Best libraries :

Python
NumPy Pandas Matplotlib Scikit-learn Keras Beautiful Soup Seaborn Requests TensorFlow
NumPy Pandas Matplotlib Scikit-learn Keras Beautiful Soup Seaborn Requests TensorFlow
R Language
ggplot2 Dplyr Tidyr Shiny Caret Data.table Lubridate
ggplot2 dplyr tidyr shiny caret data.table lubridate

Tools for Data Visualisation & Other 📉:

ggplot Plotly Matplotlib
ggplot plotly Matplotlib

OS:

Windows iOS
Windows iOS

Social media 🌐

Join me on Linkedin, where I share insights, experience, and profile.

Linkedin Badge

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  1. Energy-Analysis---Shinyapp Energy-Analysis---Shinyapp Public

    Access 2023 world energy, climate data and key decarbonisation indices: On production, consumption and trade of oil, gas, coal, power and renewables; On CO2 emissions from fuel combustion; Covering…

    R