Pinned Repositories
2018-02-olympic-figure-skating-analysis
Data, code, and methodology supporting BuzzFeed News' analysis of figure skating scores at the 2018 Olympic Winter Games, published on February 23, 2018.
Advanced-Graphing-Seaborn-Kiva
Porject utilizing the seaborn python library to create descriptive graphs from a dataset sourced from Kaggle. The information covers loans awarded by a non-profit called Kiva. Using Seaborn I will explore the average loan amount by country using aggregated bar charts, and visualize the distribution of loan amount by project type and gender using boxplots abd violin plots.
AlphabetSoup
bikesharing
This project utilizes Tableau as well as various datasets provided by the federal government to analyze the relevance of citibike usage and its proximity to McDonalds in varying locations to determine possible business implications.
Biodiversity-in-National-Parks
For this project, you will interpret data from the National Parks Service about endangered species in different parks. You will perform some data analysis on the conservation statuses of these species and investigate if there are any patterns or themes to the types of species that become endangered. During this project, you will analyze, clean up, and plot data as well as pose questions and seek to answer them in a meaningful way. After you perform your analysis, you will share your findings about the National Park Service.
Colorado-Election-Analysis
The purpose of this project is to conduct an analysis of data provided by a local Colorado election to determine statistic output by county and a comprehensive summary of candidate results.
Google-Job-Analysis
This project focuses on analyzing data collected from Google's Job Board. It prioritizes the analysis of programming languages listed in their minimum qualifications, preferred qualifications, general job locations and job categories to create informative visualizations.
Mapping_Earthquakes
Illustrating the severity of earthquakes with relations to tectonic plates using JS and API calls.
Mecha-Car-Analysis
Utilizing R to analyze numerous car related datasets to identify variables of interest and conduct further study.
Predictive-Market-Analyzer
Utlizing the tools we have at our disposal to develop an algorithm which will be able to predict the trajectory of our market based on COVID 19 and trends from the past.
nnlambert's Repositories
nnlambert/2018-02-olympic-figure-skating-analysis
Data, code, and methodology supporting BuzzFeed News' analysis of figure skating scores at the 2018 Olympic Winter Games, published on February 23, 2018.
nnlambert/Advanced-Graphing-Seaborn-Kiva
Porject utilizing the seaborn python library to create descriptive graphs from a dataset sourced from Kaggle. The information covers loans awarded by a non-profit called Kiva. Using Seaborn I will explore the average loan amount by country using aggregated bar charts, and visualize the distribution of loan amount by project type and gender using boxplots abd violin plots.
nnlambert/AlphabetSoup
nnlambert/bikesharing
This project utilizes Tableau as well as various datasets provided by the federal government to analyze the relevance of citibike usage and its proximity to McDonalds in varying locations to determine possible business implications.
nnlambert/Biodiversity-in-National-Parks
For this project, you will interpret data from the National Parks Service about endangered species in different parks. You will perform some data analysis on the conservation statuses of these species and investigate if there are any patterns or themes to the types of species that become endangered. During this project, you will analyze, clean up, and plot data as well as pose questions and seek to answer them in a meaningful way. After you perform your analysis, you will share your findings about the National Park Service.
nnlambert/Colorado-Election-Analysis
The purpose of this project is to conduct an analysis of data provided by a local Colorado election to determine statistic output by county and a comprehensive summary of candidate results.
nnlambert/Google-Job-Analysis
This project focuses on analyzing data collected from Google's Job Board. It prioritizes the analysis of programming languages listed in their minimum qualifications, preferred qualifications, general job locations and job categories to create informative visualizations.
nnlambert/Mapping_Earthquakes
Illustrating the severity of earthquakes with relations to tectonic plates using JS and API calls.
nnlambert/Mecha-Car-Analysis
Utilizing R to analyze numerous car related datasets to identify variables of interest and conduct further study.
nnlambert/Cleaning-US-Census-Data
Cleaning a dataset and creating a visualization using a regex expressions, python and pandas
nnlambert/Code-History
A project creating a simple, fun and educating app designed as a quiz to coding history. This project will utilize swift in order to develop such an application.
nnlambert/Constellations-2D-and-3D-Visualizations
In this project I will be attempting to visualize constellation data using Matplotlib to programatically visualize both 2D and 3D charts, including a 3D scatterplot that maps the x, y, and z coordinates of the Orion constellation.
nnlambert/Diagnosing-Diabetes-Dataset-Project
Taking a look at data that looks at how certain diagnostic factors affect the diabetes outcome of women patients.
nnlambert/learn-swift
Follow my progress as I learn swift for application development
nnlambert/Life-Expectancy-and-GDP-
For this project, you will analyze data on GDP and life expectancy from the World Health Organization and the World Bank to try and identify the relationship between the GDP and life expectancy of six countries. During this project, you will analyze, prepare, and plot data in order to answer questions in a meaningful way. After you perform your analysis, you’ll be creating a blog post to share your findings on the World Health Organization website.
nnlambert/Netflix-Stocks-Capstone
In finance, a stock profile is a series of studies, visualizations, and analyses that dive into different aspects a publicly traded company’s data. During this project, you will analyze, prepare, and plot data. Your visualizations will help the financial analysts asses the risk of the Netflix stock. After you complete your visualizations, you’ll be creating a presentation to share the images with the rest of the Netflix Stock Profile team.
nnlambert/nnlambert
Config files for my GitHub profile.
nnlambert/STDs-In-America-Project
Taking a look at how we can dive into a dataset provided by kaggle to answer a few initial questions and maybe some more as we explore this dataset on STDs in America
nnlambert/Summarizing-Automobile-Evaluation-Data
Utilizing a UCI Machine Learning dataset to analyze and communicate a few summary statistics
nnlambert/WhatToLearn
Creating a place where someone can find what they need to learn to succeed in a particular role they would like to obtain
nnlambert/World_Weather_Analysis
Using API's to visualize weather data