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This document analyzes the relationship between carbon dioxide emissions and vehicles sold in India from 2003-2013. It finds that while CO2 emissions and vehicle sales both increased substantially over this period, the number of vehicles sold only explains 18% of the change in emissions. Other factors must also influence India's transportation CO2 output. Graphs, statistics, and a pivot table were used to explore trends in vehicle types purchased and emissions levels each year.
Mc presentation (1)
- 1. 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
- 2. 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
- 3. Analysis of yearly Data on Carbon dioxide emissions based on the number of vehicles purchased in India. Problem Description
- 4. 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
- 5. MC Concepts Used Pie-chart and Scatter Plot (Trend-line) Conditional Formatting Descriptive Statistics Pivot Table Correlation
- 6. Graphical Representation of Data
- 7. Scatter Plot
- 8. Pie-Chart
- 9. 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
- 12. Pivot Table
- 14. 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