dynamic visual storytelling about redistricting topics
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Updated
Jun 8, 2021 - Jupyter Notebook
dynamic visual storytelling about redistricting topics
**Projeto em andamento**Projeto de análise de ativos financeiros por meio de séries temporais e previsão de preços de ativos
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.
Exploratory and statistical data analysis project on global video game sales from 1980-2016.
Interactive Data Visualization Dashboard using Streamlit, Plotly Express and Python
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.
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…
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…
real estate analysis
Created interactive plots using `plotly.py`
Plotly Data Visualization
Interesting visualisations of Covid-19 related data produced with the "Plotly Express" library for Python.
NTRS APAC summer internship hackathon
The "Waiter Tips Prediction Model" is a machine learning tool that forecasts waiter tips based on factors like the total bill, customer demographics, and dining specifics. It assists waitstaff and restaurants in understanding and estimating tipping patterns
Machine Learning Project to create an AI capable of predicting property's rental prices.
The purpose of this project is to perform a thorough data analysis in order to derive significant insights and answer important queries concerning rice export transactions.
Google DA capstone project
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