Data Study on Top Manufacturing Companies by Income in 2020

Posted on Oct 13, 2021

The skills I demoed here can be learned through taking Data Science with Machine Learning bootcamp with NYC Data Science Academy.

Scraped data and analysis of the World's top Manufacturing Companies by Revenue in 2020

Data Study on Top Manufacturing Companies by Income in 2020

Data Science Introduction

There is increasing competitiveness on trade and countries are now investing heavily on manufacturing based on it's contribution to the economy in terms of jobs creation, GDP and export increase that positively stimulates the economy  . I scraped data using Python on the World's top manufacturing companies in 2020 by revenue from the list of 500 fortune companies in Wikipedia. The data scraped is analyzed using visuals  in Python to find out the leading manufacturing countries, leading  industries  and leading companies revenue contribution.

Objectives

To get insights I visualized: The top 10 world's manufacturing  company, top 5 world's manufacturing countries with most companies in the list, percentage of manufacturing companies by country,  top leading manufacturing industry , revenue from manufacturing by country and top US manufacturing companies.

Data

The data was scraped from the list of top manufacturing companies by revenue from Wikipedia. It consists of 100 observations and five variables. Four of the variables are categorical and one numeric variable(Revenue in billion US dollar). I preprocessed, explored and visualized the data in python.

Data Analysis and visualization

The bar chart below shows the top 10 companies revenue contribution from manufacturing  in 2020.

Data Study on Top Manufacturing Companies by Income in 2020

From the chart, Volkswagen group  contributes the highest ($282.700 US), followed by Toyota group with contribution of $265.172(US). The least in the top 10 is General Motors with revenue contribution of 137.237 billion dollars (US).  The chart also shows, five of the companies are in the automotive industry, while Apple and Samsung belong to the electronics industry.

The below bar graph shows percentage of  the top 5 countries with the most world manufacturing companies.

Data Study on Top Manufacturing Companies by Income in 2020

As shown above, United States and China are even on the number of companies in the list;  24% each, followed by Japan with 13%, Germany 10% and South Korea 5% of total manufacturing companies in the list in 2020.

The bar chart illustrates the relative  percentage of the number of World's leading manufacturing  industries in 2020.

From above, 19% of all the World's manufacturing companies are in the automotive industry , followed by engineering.

Below bar chart shows the Revenue contribution from the manufacturing companies per country.

In terms of Revenue contribution from the manufacturing industry in 2020, United States has the highest of 1932.152 billion dollars, followed by China with contribution of 1685.99 billion dollars. The least is India with 37.242 billion dollars.

The bar chart below shows  top US manufacturing contribution in United States

The highest contribution by manufacturing companies in United States in 2020 is made by Apple in the electronics industry with a contribution of 260.174 billion( US dollars), followed by Ford in the automotive industry with a contribution of 155.900 billion(US dollars) and the least contribution of 71.965 billion dollars was made by Intel in the electronics industry.

Conclusion

As trade competition increases with global challenges of the Covid19 pandemic in 2020 which affected manufacturing sector of few countries; the above visualizations show the contribution of  the World's leading manufacturing countries, leading industries and companies by revenue in 2020. It also, show the leading manufacturing companies contribution in the United States.

The findings of United States and China having even percentage of companies in the list, United States with the highest revenue contribution from manufacturing, automotive industry the highest generated the highest revenue and apple in the United States contributed the highest gives a good insights to enable policy makers, manufacturing company executives and future research analyst to implement policies that will increase manufacturing productivity to gain competitive advantage in other to increase manufacturing contribution towards GDP, thereby stimulating the economy and creating more jobs.

Limitations

This analysis is limited to only revenue contribution ; an extensive research on total manufacturing contribution is required to get additional insights in the future.

About Author

Robert Willoughby

I live in Columbus, Ohio; working as a Data Analyst
View all posts by Robert Willoughby >

Related Articles

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