VISUAL ANALYTICS ASSIGNMENT Case Solution And Analysis, HBR Case Study Solution & Analysis of Harvard Case Studies

VISUAL ANALYTICS ASSIGNMENT Case Solution

Introduction

This assignment is based on Visual Analytics, and a range of different visualizations and visual narrative has been formed based on two different data sets. The data sets, which have been used for this project,are based on the Air Quality Data from two Metro Stations in Paris. The first metro station is the Franklin Roosevelt and the second metro station is Chatelet. The data for the air quality is shown in the excel spreadsheets. Each spreadsheet shows data about five key variables which measure the air quality.

There are different climatic parameters such as humidity and temperature, the air change in terms of carbon dioxide and the air quality in terms of particulates and nitrogen oxides. The hourly averages are shown for each of these variables which measure the relative air quality. The data sets have been extracted from the RATP – Development Department, Innovation & Territories. The following two tasks have been performed based on the given requirements of this re-sit project.

Task A

In this task, adequate visual plots have been used on both the data sets separately to generate some useful plots in order to identify the variations between the specific variables of air quality. There are six key visual plots which have been generated for each of the data set to analyze the variations among the variables of air quality. For the air change in terms of carbon dioxide, the bar charts have been generated for CO2 per heure. All the charts could be seen in the appendix, which is attached as a pdf of this project. If we compare the bar charts for data set 1 and data set 2, then we can see that the air change pattern is almost similar for both the metro stations however, there are slightly more changes in the air at the Franklin Roosevelt station.

The distribution plot has been used to look at the relative humidity at both the stations. When we compare the distribution of humidity at both the stations, then we can see that humidity is widely distributed at Franklin Roosevelt station as compared to the Chatelet station. Moreover, the humidity levels are also lower at Chatelet station. Furthermore, we have generated a waterfall chart to compare the nitrogen oxides per hour which measure the air quality. When we compare both the waterfall charts, we can see that there are high levels of nitrogen oxide per hour at the Chatelet station as compared to the Franklin Roosevelt stations although the pattern seems similar. Next, a line plot has been created for the particulates at each heure. Between 6am to 9am, the particulates per heure are high for Frankling Roosevelt station however, with time, the whole situation is reversed.

This suggests a higher air quality at the Chatelet airport. A line plot has been created for temperature at each month of the three years which are 2013, 2014 and 2015. The temperature at Chatelet station has always been lower in 2013 and 2014 but in 2015 it had increased significantly as compared to Franklin Roosevelt station’s temperature level. Lastly, a combination chart has been also created for the temperature. This chart shows that the temperature has always been higher at Chatelet station.................

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