Mc presentation (1)

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MC Presentation ANALYSIS 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

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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

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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

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Analysis of yearly Data on Carbon dioxide

emissions based on the number of vehicles

purchased in India.

Problem

Description

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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

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MC Concepts Used

Pie-chart and Scatter Plot (Trend-line)

Conditional Formatting

Descriptive Statistics

Pivot Table

Correlation

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Graphical Representation of Data

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Scatter Plot

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Pie-Chart

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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

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Conditional Formatting…

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Descriptive Statistics

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Pivot Table

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Correlation Analysis

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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

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