Data Study on China's Natural Gas

Posted on Nov 7, 2016
The skills the author demoed here can be learned through taking Data Science with Machine Learning bootcamp with NYC Data Science Academy.


With the everyday data reports of the current and looming world problems due to climate change, a look at the world energy consumption has shed some light on what may be the most imminent steps that can be taken to possibly slow global warming. What may come as no surprise to many, China is key.

A shiny app is built that helps look at the world population by country along with the top forms of energy consumption in 2009 and makes some comparisons to 1994 (three years after the fall of the Soviet Union). Some of what the app reveals is highlighted here, but the app can be used by anyone to look at an area of the world that interests them and find compelling trends to further research. Below is a snapshot of the app, which features three interactive maps.

Data Study on China's Natural Gas

Coal and Oil Consumptions

There are a few interesting trends that the app revealed in the world population from 1994 to 2009. Particularly, while the populations of most of the major countries increased between the 15 year period, the population of Russia decreased from 148.442 to 140.041 million. This massive decline in population can be attributed to a combination of low birth rates, a sharp increase in mortality and mass immigration that all followed the collapse of the Soviet Union.

Meanwhile, the population of China increased from 1,203.802 to 1,323.592 million, almost a 10 percent growth. However, this was a lower rate of population growth than what the United States experienced during this time, growing from 263.126 to 307.007 million, which is a 16.7 percent gain. The biggest change in population happened in India as its population grew from 903.579 to 1,156.898 million, approximately a 28 percent growth.

Even with Indiaโ€™s large population growth, China still remained the most populous country, and in 2009 it had the second largest economy in the world in GDP. Given these population trends, it is important to see what the energy consumption patterns for these countries were.

Natural Gas

Natural gas is the cleanest fossil fuel, meaning it releases the least amount of CO2 and other harmful byproducts when it is burned. The app shows that both in 1994 and in 2009 the United States was largest consumer of natural gas followed by Russia.

However, it also shows that China is a relatively small consumer of this relatively clean fossil fuel. While its consumption increased from 0.656 to 3.266 quadrillion Btu between the two years, its consumption in 2009 was still comparable to that of the country of Great Britain, which consumed 3.336 quadrillion Btu in 2009. Considering that Chinaโ€™s population in 2009 was 21.26 times that of Great Britain, it is obvious that its use of natural gas is greatly under utilized.

Data Study on China's Natural Gas

Figure 2

Instead, China was the largest consumer of coal in the world both in 1994 and in 2009, with coal being the dirtiest fossil fuel to burn (Figure 1). However, in 2009 it was the largest consumer of coal in the world by a much larger extent.

To underline the significance of this, the app shows that the United States, which was the second largest coal consumer in the world both years, kept its consumption virtually the same (19.968 and 19.668 quadrillion Btu in the two years respectively). In the meantime, Chinaโ€™s coal consumption grew from 25.02 to 63.279 quadrillion Btu, a 2.5 times increase! Not surprisingly, the app reveals that in 2009, China was the greatest producer of CO2 in the world, by far.


Given these findings, it is hard to see how the world will combat its CO2 emission in the near future without addressing Chinaโ€™s dependence on coal. And no one is perhaps more concerned about this than China itself. There is hope on the horizon. In 2014, China and Russia signed a 30 year $400 billion natural gas deal. In this deal Russia would provide China with natural gas from its pipelines to Chinaโ€™s pipelines in the North. Since the original signing there have been additions to the deal. China will also be importing more natural gas from other countries (Australia, US), but Russia looks poised to be its biggest single provider of natural gas in the near future.

About Author

Leave a Comment

No comments found.

View Posts by Categories

Our Recent Popular Posts

View Posts by Tags

#python #trainwithnycdsa 2019 2020 Revenue 3-points agriculture air quality airbnb airline alcohol Alex Baransky algorithm alumni Alumni Interview Alumni Reviews Alumni Spotlight alumni story Alumnus ames dataset ames housing dataset apartment rent API Application artist aws bank loans beautiful soup Best Bootcamp Best Data Science 2019 Best Data Science Bootcamp Best Data Science Bootcamp 2020 Best Ranked Big Data Book Launch Book-Signing bootcamp Bootcamp Alumni Bootcamp Prep boston safety Bundles cake recipe California Cancer Research capstone car price Career Career Day citibike classic cars classpass clustering Coding Course Demo Course Report covid 19 credit credit card crime frequency crops D3.js data data analysis Data Analyst data analytics data for tripadvisor reviews data science Data Science Academy Data Science Bootcamp Data science jobs Data Science Reviews Data Scientist Data Scientist Jobs data visualization database Deep Learning Demo Day Discount disney dplyr drug data e-commerce economy employee employee burnout employer networking environment feature engineering Finance Financial Data Science fitness studio Flask flight delay gbm Get Hired ggplot2 googleVis H20 Hadoop hallmark holiday movie happiness healthcare frauds higgs boson Hiring hiring partner events Hiring Partners hotels housing housing data housing predictions housing price hy-vee Income Industry Experts Injuries Instructor Blog Instructor Interview insurance italki Job Job Placement Jobs Jon Krohn JP Morgan Chase Kaggle Kickstarter las vegas airport lasso regression Lead Data Scienctist Lead Data Scientist leaflet league linear regression Logistic Regression machine learning Maps market matplotlib Medical Research Meet the team meetup methal health miami beach movie music Napoli NBA netflix Networking neural network Neural networks New Courses NHL nlp NYC NYC Data Science nyc data science academy NYC Open Data nyc property NYCDSA NYCDSA Alumni Online Online Bootcamp Online Training Open Data painter pandas Part-time performance phoenix pollutants Portfolio Development precision measurement prediction Prework Programming public safety PwC python Python Data Analysis python machine learning python scrapy python web scraping python webscraping Python Workshop R R Data Analysis R language R Programming R Shiny r studio R Visualization R Workshop R-bloggers random forest Ranking recommendation recommendation system regression Remote remote data science bootcamp Scrapy scrapy visualization seaborn seafood type Selenium sentiment analysis sentiment classification Shiny Shiny Dashboard Spark Special Special Summer Sports statistics streaming Student Interview Student Showcase SVM Switchup Tableau teachers team team performance TensorFlow Testimonial tf-idf Top Data Science Bootcamp Top manufacturing companies Transfers tweets twitter videos visualization wallstreet wallstreetbets web scraping Weekend Course What to expect whiskey whiskeyadvocate wildfire word cloud word2vec XGBoost yelp youtube trending ZORI