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1. Sectors_Performance Sectors_Performance Public

   An analysis used Matplotlib and Yahoo API to visualise the performance of the economic concept and get insight or predict into each S&P sector's performance during crashes.

   Jupyter Notebook 1

2. Climate_Analysis_APP Climate_Analysis_APP Public

   An analysis used SQLAlchemy matplotlib to analyse and visualize the precipitation and temperature change from a sqlite database. A web application to demonise the results.

   Jupyter Notebook

3. Employee_Salary_SQL Employee_Salary_SQL Public

   An analysis used SQL to perform, model and engineer the data from CSV files to the SQL database and created SQL Queries to extract the stored data.

   Jupyter Notebook

4. Investment_Poll_Python Investment_Poll_Python Public

   An analysis used Python to evaluate the investment daily return and poll results by extracting and transforming data from CSV files.

   Python

5. Sectors_Return_WebDesign Sectors_Return_WebDesign Public

   A web design used jupyter notebook and HTML contain the heat map plot for the daily return of S&P 500 sectors during crashes, from the previous project, and the analysis on the plot.

   HTML

6. World_Weather_API World_Weather_API Public

   An analysis used Jupyter-notebook, API(Yahoo & OpenWeatherMap) and Gmaps to visualise weather data across the earth, creating a heatmap that weights humidity and marks on certain locations.

   Jupyter Notebook