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aish-anand / Ozone14_to_17.csv
Created April 6, 2018 17:11
COMPSCI 590V - Homework 4
County Code County Ozone2014 Ozone2015 Ozone2016 Ozone2017
1003 Baldwin County, AL 0.07 0.063 0.062 0.064
1027 Clay County, AL 0 0 0 0
1033 Colbert County, AL 0.059 0.057 0.061 0.056
1049 DeKalb County, AL 0.062 0.065 0.064 0.058
1051 Elmore County, AL 0.06 0.061 0.064 0.055
1055 Etowah County, AL 0.059 0.06 0.059 0.061
1069 Houston County, AL 0.059 0.061 0.07 0.055
1073 Jefferson County, AL 0.065 0.073 0.066 0.064
1089 Madison County, AL 0.064 0.063 0.063 0.063
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aish-anand / README.md
Created March 18, 2018 16:25
COMPSCI 590V - Homework 3

Dataset

An air quality index (AQI) is a number used by government agencies to communicate to the public how polluted the air currently is or how polluted it is forecast to become. As the AQI increases, an increasingly large percentage of the population is likely to experience increasingly severe adverse health effects. The United States Environmental Protection Agency(EPA) has developed an Air Quality Index that is used to report air quality. The map shows the 50 metropolitan areas in the US with highest carbon monoxide levels. The drop down also allows the user to see other measures like AQI and max CO value in the year 2016. The original data has this CO measurement over the span of one year, with measurements taken each day. However for the purposes of the assignment this has been condensed to top 100 metros and average values are taken. The original dataset has also been attached below. Link to dataset : https://aqs.epa.gov/aqsweb/airdata/download_files.html

Projection

The Albers equal-area conic pr

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aish-anand / README.md
Last active February 19, 2018 01:10
COMPSCI 590V - Homework 2

Scatterplot

Q1. Scatter plots are also known as a Scatter Graphs, Point Graphs, X-Y Plots, Scatter Chart or Scattergrams. Scatterplots use a collection of points placed using Cartesian Coordinates to display values from two variables. By displaying a variable in each axis, you can detect if a relationship or correlation between the two variables exists. Various types of correlation can be interpreted through the patterns displayed on Scatterplots. These are: positive (values increase together), negative (one value decreases as the other increases), null (no correlation), linear, exponential and U-shaped. The strength of the correlation can be determined by how closely packed the points are to each other. Scatterplots can show you visually the strength of the relationship between the variables, the direction of the relationship between the variables, and whether outliers exist. Shows how data is dispersed and the relationship between the two variables. Lines or curves are fitted within the graph to aid in

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aish-anand / index.html
Last active February 5, 2018 01:40
COMPSCI 590V - Homework 1 - Simple D3 Visualization
<!DOCTYPE html>
<html>
<head>
<title>Air Quality Index</title>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width">
<link rel="stylesheet" href="https://fonts.googleapis.com/css?family=Merriweather" type="text/css">
<style type="text/css">
body {
margin: 0;