Companies in the Construction & Engineering industry

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This dataset is about companies and is filtered where the industry is Construction & Engineering. It has 23 columns such as company, website, domain, city, and country. The data is ordered by revenues.

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This dataset has 87,303 rows

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Legend

There are 23 fields used in this dataset (including filters):
  • Company: Name of company.
  • Website: Company website.
  • Domain: Unique name that identifies a website and is used to access it from a browser.
  • City: Headquarters of the company.
  • Country: Country in which the company is located.
  • Employees: Number of employees under contract. This field is expressed in people.
  • Employee Type: Indicates whether the number of employees is an exact figure or an estimate.
  • Revenues: Total income from operations over a set period of time, before subtracting expenses. This field is expressed in $.
  • Revenue Type: Indicates whether the revenue value is an exact figure or an estimate.
  • Sector: Sector refers to a part of the economy and is a broader category that encompasses multiple industries.
  • Foundation Year: The year the company was established. This field is expressed in year.
  • Industry: Industry refers to a group of companies that operate in a similar business sphere.
  • Linkedin Link: LinkedIn page.
  • Linkedin Followers: Number of followers on LinkedIn. This field is expressed in followers.
  • Twitter Link: Twitter account.
  • Twitter Username: Twitter username
  • Twitter Followers: Number of followers on Twitter. This field is expressed in followers.
  • Tweets: Number of tweets from company twitter account.
  • Facebook Link: Facebook page.
  • Instagram Link: Instagram account.
  • Talking Points: Concatenation in English of different descriptions of the companies, coming from different sources such as the website or social media.
  • Stack: The set of technologies, tools, and frameworks used to develop a software or application.
  • Ceo Approval: The percentage of employees who approve their CEO.

Details

This dataset is based on data from: YAHOO-FIN, YFINANCE, Twitter

This dataset can be used under the CC BY-NC 4.0 license

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