d3-challenge

Using D3.js, animated scatter plots analyze relationships between health risks and different demographics in the US.

etl-project

This group project looks at the ETL framework of the top selling Steam games and its ratings.

finalproject

This group project aims to predict the fatality of an accident given a certain input (time/weather condition/etc.) using machine learning models and Flask.

javascript-challenge

This project involves writing code using JavaScript, HTML, and CSS, and D3.js that will create a table dynamically based upon a dataset provided. Users are also allowed to filter the table data for specific values.

leaflet-challenge

A visualization of a USGS earthquake dataset using Leaflet, Mapbox and D3

leaflet-choropleth

Choropleth plugin for Leaflet (color scale based on value)

machine-learning-challenge

This project creates machine learning models capable of classifying candidate exoplanets from the raw dataset from NASA Kepler Space Telescope

matplotlib-challenge

The purpose of this project was to compare the performance of Pymaceuticals' drug of interest, Capomulin, versus the other treatment regimens. Tables and figures were generated for the technical report of the study and a top-level summary of the study results was also created.

neha-nayeem

neha-nayeem.github.io

pandas-challenge

This project analyzes the district-wide standardized test results at PyCitySchools by aggregating data to showcase obvious trends in school performance.

plotly-challenge

This project builds an interactive dashboard to explore the Belly Button Biodiversity dataset, which catalogs the microbes that colonize human navels.

portfolio

project-01

This group project aims to analyze and visualize crime cases in Toronto from 2014-2019. Correlations between crime and various metrics like time and seasons, premises and locations, and economy were looked at using open datasets from Toronto Police.

project-2

An interactive dashboard visualizing Toronto crime and neighbourhood profiles using Flask, Mongo, Python, and viz tools such as Plotly, Leaflet, D3.js.

python-api-challenge

This project is in two parts. The first part (WeatherPy) visualizes the weather of 500+ cities across the world of varying distance from the equator, using Python script, CityPy and OpenWeatherMap APIs. The second part (VacationPy) uses jupyter-gmaps and the Google Places API to create a heatmap of these cities, filter down to the cities with an ideal weather condition and find the nearest hotel.

python-challenge

This project consists of two challenges: PyBank and PyPoll. In both challenges, Python script was written for analyzing the financial records of a company (PyBank) and modernize a small-town vote counting process by analyzing votes .

sql-challenge

This project involved Data Engineering and Data Analysis where I designed the tables to hold data from 6 CSV files, imported the CSVs into a SQL database using PostgreSQL and wrote SQL queries to answer the given questions. A bonus analysis included creating some charts to analyze employee salary data.

sqlalchemy-challenge

This project uses Python and SQLAlchemy to do basic climate analysis and data exploration of a climate database. Using this analysis, a Flask API was also created.

tableau-challenge

vba-challenge

This project uses VBA scripting to analyze real stock market data

viz-wiz

A short fun data viz project about the world's forests!

web-design-challenge

Using city weather data from a previous project, this project focuses on implementing HTML and CSS to create a weather dashboard displaying all the visualizations.

web-scraping-challenge

This project builds a web application that scrapes various websites for data related to the Mission to Mars and displays the information in a HTML page.