INC 5000 Companies 2019
Beyond the Rankings: A Comprehensive Look at the INC 5000 Companies of 2019
The INC 5000 Companies 2019 dataset is a comprehensive collection of information about each company listed on the 2019 edition of the prestigious INC 5000 list. The INC 5000 list is an annual ranking of the fastest-growing private companies in the United States, and the 2019 edition includes companies from a wide range of industries, including technology, healthcare, manufacturing, and retail.
The dataset consist of 5013 rows and 11 columns which includes several key fields of information for each company, including the company name, industry, founding year, website, and location. In addition, the dataset provides valuable insights into the financial performance and growth of each company, with fields for 2019 revenue, % growth, number of workers (year-over-year), and the number of years on the list.
The dataset provides many possible areas of analysis that includes relationship between revenue growth and staffing changes, identification of trends and patterns in the growth and performance of private companies in the United States and to distinguish the companies that are outperforming their peers and gaining a competitive advantage in their markets.
RECOMMENDED ANALYSIS :
What's the average revenue among companies on the list? Broken down by industry?
Which industries are most and least represented in the list?
Do you notice any interesting geographic trends?
Which industries saw the largest average growth rate?
Which companies had the largest increase in staff/new hires?
Did any companies increase revenue while reducing staff?
Which is the most frequent state appearing in Top 1000 values of companies?
CONCLUSION :
Through analyzing this dataset, we can explore various insights and trends related to company growth, staff discrepancy, and revenue increase. Using Excel, we can conduct analyses on companies and industries based on their name, revenue, % growth, workers, and location. The specific findings and conclusions will depend on the recommended analysis questions and goals of the analysis.
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