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MC PresentationANALYSIS OF CARBON DIOXIDE EMISSION IN RELATION TO VEHICLES SOLD
Abhijeet Dash-UM14001
Adyasha Dash-UM14007
Krishna Kumari Sahoo-UM14029
P Goutam Prasad Rao-uM14037
Partha Pritam Sahoo-UM14039
Pritam Ranjan Roul-UM14042
Satyajit Patnaik-UM14050
Sukanya Dash-UM14056
Introduction
Global warming endangers our health, jeopardizes our national security, and
threatens other basic human needs. Some impacts—such as record high
temperatures, rising seas, and severe flooding and droughts—are already
increasingly common.
Our cars and trucks are a major cause of global warming, emitting around 24 pounds
of carbon dioxide and other global-warming gases for every gallon of gas.
The transportation sector is the second largest source of anthropogenic carbon
dioxide emissions.
Transporting goods and people produces 22% of fossil fuel related carbon dioxide
emissions in India.
Road transport accounts for 72% of this sector's carbon dioxide emissions.
Automobiles, freight and light-duty trucks are the main sources of emissions for the
whole transport sector and emissions from these three have steadily grown
Analysis of yearly Data on Carbon dioxide
emissions based on the number of vehicles
purchased in India.
Problem
Description
Year -wise Purchase of vehicles.
Breakup of Vehicle Type purchased
CO2 emission from transport and as a percentage of
total fuel consumption.
Analysis of CO2 emission with respect to increase in
number of total vehicles on road.
Scope of
Analysis
MC Concepts Used
Pie-chart and Scatter Plot (Trend-line)
Conditional Formatting
Descriptive Statistics
Pivot Table
Correlation
Graphical Representation of Data
Scatter Plot
Pie-Chart
Conditional Formatting
Conditional Formatting has been used for to find out the following:
Top three types of vehicles sold in 2013
Highlighted in Red
Years in which the sale of new private cars were lower than the
previous year
Highlighted in Green
Colour Gradient Range of cells shows the intensity of CO2 emissions
over the years
Conditional Formatting…
Descriptive Statistics
Pivot Table
Correlation Analysis
Number of vehicles sold vs. CO2 emissions: An
Analysis
CO2 Emissions: Average Growth = 7.85%
Number of Vehicles sold: Average Growth = 6.59%
A scatter plot was made to capture the year on year sales of number of vehicles
and the year on year CO2 emissions.
Analysis
Correlation Analysis: 18% of change in Carbon dioxide emissions is explained by
number of vehicles sold.
Implication: The change in Carbon dioxide emissions cannot be explained by considering number of vehicles alone