Dynamic data visualization tool developed with Dash. Features include interactive maps, statistical analysis, and tabular data presentation, enabling users to explore gas station insights effortlessly (hosted on Heroku).
The project delves into the feasibility of establishing a new player in the rocket industry, SpaceY, to rival SpaceX, the brainchild of billionaire industrialist Elon Musk.The methodology used implied: Data collection with Webscraping and SpaceX Rest API; Data wrangling; Exploratory data analysis (EDA) with visualization and SQL; Interactive visual analytics with Folium and Plotly Dash; Predictive analysis using classification models like Decision trees, Logistic Regression, SVM and KNN.
The objective of this project was to analyze car price data to identify key variables influencing car prices.Questions addressed included examining the relationship between drive systems and vehicle prices, and whether engine size could predict car prices.Descriptive statistics, scatter plots, heatmaps, and correlation analyses were employed.
The project focuses on detecting fraudulent activities and identifying suspicious stock behavior within stock data for a hedge fund. Data extraction was conducted utilizing the yfinance library, resulting in a pandas dataframe. Historical stock prices were obtained using the history() method, with the period parameter determining the data timeframe. Additionally, dividends were analyzed to assess profit distribution to shareholders.
The primary objective of this project was to investigate differences in blood pressure and educational attainment based on age, aiming to determine if aging directly influences blood pressure.Various analytical techniques, including frequency tables, numerical summaries, individual summary statistics, and graphical summaries, were employed.
The project aims to provide insights into the dynamics of the housing market and rental sector, particularly focusing on market values of housing units and Fair Market Rents over the period from 2005 to 2013.