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Create a dashboard to visualize housing market in San Francisco neighborhoods. Parallel categories, coordinates and neighborhood maps are created on annual housing units, average gross rent and sales prices. Visuals in line and scaled bar charts are also created using Matplotlib and hvplot libraries.
A Comprehensive and Analytical User Interface Application developed using UI library named Dash in Python. It provides detailed insights on worldwide terrorist attacks from the year 1970 to 2018. The application is largely bifurcated into two sections (via tabs), the first section including dynamic map tool visualization and the second section i…
SQL/Python dashboard for detecting outliers in Pandas DataFrame & allowing user to graph/select/change values on DataFrame & download all items in multiple formats.
The data Martha will be working with is not ideal, so it will need to be processed to fit the machine learning models. Since there is no known output for what Martha is looking for, she has decided to use unsupervised learning. To group the cryptocurrencies, Martha decided on a clustering algorithm. She’ll use data visualizations to share her fi…
A flight fare prediction machine learning model is designed to predict the price of a flight ticket based on various factors such as the flight route, airline, date of booking, and other relevant features. This model can be used to help travelers plan and budget their trips more effectively by providing an accurate estimate of the cost of flights.
Limpieza, transformación y análisis exploratorio de un dataset con datos de airbnbn de Estocolmo. Utilice como regla general plotly-express para los gráficos.
The goal of the project is to understand Zuber Ride Share passenger preferences and the impact of external factors on rides. Working with the database, we will analyze data from competitors and test a hypothesis about the impact of weather on ride frequency.
Airbnb Data Analysis and Visualization project is a comprehensive data exploration and presentation effort. It involves data collection, preprocessing, ETL work, and the creation of an interactive Streamlit user interface. The project aims to provide insights and make Airbnb data more accessible and understandable.