Posted: August 24th, 2022

Econ 143 Midterm Undertaking

Overview
On this venture, we’re going to use the vitality dataset from Our World in Information and replicate the info visualization course of. Moreover, we’re going to use knowledge from the world financial institution and replicate the graph of emission tendencies. Final however not least, we’re going to clarify the underlying mechanism behind the info.

Information Supply:
Our World in Information Vitality dataset is up to date repeatedly and contains knowledge on vitality consumption (main vitality, per capita, and progress charges), vitality combine, electrical energy combine and different related metrics.
Weblink: https://github.com/owid/energy-data
Earlier than you begin the work, you need to be taught the info construction and associated data by trying by means of the codebook (owid-energy-codebook.csv).

Software program:
Software program resembling Stata, R, python or MATLAB are welcome.

Undertaking Instruction:
Basic rule:
To duplicate a determine, you don’t want to incorporate each element however have to incorporate legend, axis labels and titles.
I present with you a template.do, which is a few hints for questions.

Question Assignment 1:
Among the many key charts on the subject of Vitality (https://ourworldindata.org/energy-key-charts, contributed by Hannah Ritchie), please discover the graph Major vitality consumption by supply, World, hooked up beneath.

a) Please describe what data you are taking from this graph, in 2 to three sentences (1 level).
b) Please obtain the vitality knowledge from https://github.com/owid/energy-data and import the owid-energy-data.csv into the atmosphere (reminiscence) (1 level).
c) Please replicate this graph by Stata (or different programming software program) (2 factors).
d) Please replicate the graphs (tendencies of vitality consumption by supply) for United States, Europe, India and China (2 factors).
e) By trying on the tendencies of coal, what’s the consumption sample for US and Europe, and what’s the consumption sample for India and China?
And what’s the potential contributing elements to those two completely different patterns (2 to three sentences)? (2 factors)

Question Assignment 2 :
a) Please clarify what stagflation (2 to three sentences) is (1 level).
(hyperlink possibly useful: https://www.investopedia.com/articles/economics/08/1970-stagflation.asp)
b) Graph the tendencies of main vitality consumption by supply for United States and slender the remark window between 1965 to 1985 (1 level).
c) From this graph, what occurred to the oil consumption in 1978? What’s the potential clarification? And what’s the financial consequence? (three to four sentences) (2 factors)

Question Assignment three:
Please discover the bar chart main vitality consumption by supply,2021(graph hooked up beneath)

a) through the use of variables (share of consumption) from the dataset, replicate this bar graph. (2 factors)
b) please generate the variables of share by your self and replicate this bar graph. (2 factors)

Question Assignment four
Please go to the world financial institution web site and obtain the dataset of particulate emission injury. (https://knowledge.worldbank.org/indicator/NY.ADJ.DPEM.CD?finish=2017&places=US&begin=1990&view=chart)
a) please import the csv file into atmosphere (reminiscence) and run the template code I give to you. Please describe what’s the objective of code on this half (1 level).
b) please replicate this graph beneath (2 factors).
c) combining with the graphs partly d) of Q1, what’s the potential clarification for the phenomenon proven within the graph? (1 level)

Undertaking Submission:

The submitted venture ought to embody:
A pdf/phrase file along with your title and solutions (figures and quick Assessment)
A file of your codes (dofile for Stata) to generate the figures. Please be certain that your program may run with out bugs. (You will need to use programming software program for this venture)

Information Credit score:
Information on Vitality by Our World in Information https://github.com/owid/energy-data
particulate emission injury (present US$) – United States, China, India https://knowledge.worldbank.org/indicator/NY.ADJ.DPEM.CD?finish=2017&places=US-CN-IN&begin=1990&view=chart

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