Data Projects by Frederick Salazar

Welcome to the Data Projects repository. This repository contains a collection of data analysis projects developed in Jupyter Notebook, in which I apply data science techniques, statistical analysis, and data visualization to explore and understand various datasets.

Table of Contents

• Description
• Included Projects
• Technologies and Tools
• How to Run the Projects
• Contributions
• License
• Contact

Description

This repository brings together various data projects covering economic analysis, price prediction, demographic studies, and interactive visualizations. Each project has been developed using Jupyter Notebook, making it easy to replicate the analyses and learn data analytics and machine learning techniques.

The topics covered include:

• Analysis of car and house prices.
• Evaluation of economic and financial indicators in Colombia and globally.
• Prediction in the insurance sector and life expectancy analysis.
• Dynamic visualizations, such as bar chart races to illustrate the evolution of GDP per capita.
• Studies on elections and causes of death based on real data.

This repository is ideal for students, professionals, and enthusiasts who wish to deepen their understanding of data analysis projects and improve their data science skills.

Included Projects

• analisis_car_price: Exploration and modeling of car prices using statistical analysis and visualizations.
• analisis_causas_muerte: Detailed study of the main causes of death based on demographic data.
• analisis_economic_colombia: Analysis of economic indicators in Colombia, focusing on trends and projections.
• analisis_global_trust_rate: Evaluation of the global trust rate using data analysis techniques.
• analisis_house_prices: Investigation and visualization of trends in the real estate market.
• analisis_inflacion_tasas_interes_colombia: Analysis of inflation and interest rates in Colombia.
• analisis_insurance_predict: Predictive project to analyze and forecast trends in the insurance sector.
• analisis_life_expectancy: Study of life expectancy using global data and data analytics techniques.
• analisis_pib_per_capita: Evaluation of GDP per capita and its impact on the economy.
• analisis_world_inflation: Comparative analysis of inflation in different countries.
• analisis_world_population: Exploration and visualization of trends in the global population.
• anlaisis_ColombianElections: Analysis of electoral data in Colombia to identify patterns and trends.
• barchart_race_pib_per_capita: Dynamic visualization in the form of a bar chart race showing the evolution of GDP per capita.
• life_expectancy_dataset: Supplementary dataset for life expectancy studies.
• macro_economics_indicators: Collection and analysis of relevant macroeconomic indicators.

Technologies and Tools

This repository primarily uses:

• Jupyter Notebook for creating and executing interactive analyses.
• Python as the main programming language.
• Python libraries such as:
  • pandas for data manipulation and analysis.
  • matplotlib and seaborn for data visualization.
  • scikit-learn for predictive modeling and statistical analysis.

How to Run the Projects

1. Clone the Repository

   git clone https://github.com/fredericksalazar/data-projects.git