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Aastha Arora's Projects

analyze-ab-test-results icon analyze-ab-test-results

Analyze results of an A/B Test run an e-commerce company. Statistical Analysis using Logistic Regression

citi-bike-trip-tableau icon citi-bike-trip-tableau

Analyze CitiBike trip data and design Tableau Dashboards and Story to investigate peak hours and bike ridership

climate-analysis-sqlalchemy icon climate-analysis-sqlalchemy

Climate analysis using a SQLite database, SQLAlchemy ORM queries, Pandas, Matplotlib. Results served via Flask API.

d3-challenge icon d3-challenge

Interactive chart using JavaScript, D3.js to visualize health risks facing particular demographics.

great-barrier-reef icon great-barrier-reef

Analyzed the effect of sea surface temperature on frequency and intensity of coral bleaching.

matplotlib-challenge icon matplotlib-challenge

Compare the performance of different pharmaceutical drugs using Python pandas library and draw plots using Matplotlib.

mission-mars-web-scraping icon mission-mars-web-scraping

Web scraping using BeautifulSoup, Pandas, and Requests/Splinter. MongoDB with Flask templating to create a new HTML page that displays the extracted information.

movies-etl icon movies-etl

Relational movie database in PostgreSQL. Data extraction using web scraping and API calls. Data transformation using pandas.

olympics-visualization-flask icon olympics-visualization-flask

Designed a Python Flask-powered RESTful API to support an interactive web visualization application. A PostgreSQL database was used to store the Olympics dataset and was queried using SQLAlchemy. Visualizations were created with D3.js, Leaflet.js, Plotly.js, and Chart.js

olympics-visualization-js icon olympics-visualization-js

Used Linear Regression, ARIMA, and Logistic Regression to display the next Tokyo Olympics predictions in medal count and in the type of Olympic medallist in each sport

pandas-challenge icon pandas-challenge

Data Wrangling using pandas library (Python) to analyze a given dataset.

prosper-loan-analysis icon prosper-loan-analysis

Exploratory Data Analysis using Python visualization libraries to systematically explore a Loan dataset, starting from plots of single variables and building up to plots of multiple variables

python-challenge icon python-challenge

Python scripts to analyze the financial records of a company; and to calculate the number of votes in an election.

sql-employee-database icon sql-employee-database

Data Modeling, Data Engineering and Data Analysis using SQL queries on an employee database.

weather-pattern-python-api icon weather-pattern-python-api

Explore the weather in 500+ cities using Python requests, APIs, and JSON traversals. Scatter plots were drawn to visualize the trend in temperature, humidity, cloudiness and wind speed.

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