DATA $2$ Startup Dataset

A startup or start$-$up is a company or project begun by an entrepreneur to seek, develop, and validate a scalable economic model. While entrepreneurship refers to all new businesses, including self$-$employment and businesses that never intend to become registered, startups refer to new businesses that intend to grow large beyond the solo founder. Startups face high uncertainty and have high rates of failure, but a minority of them do go on to be successful and influential. Some startups become unicorns: privately held startup companies valued at over US$$1$ billion. $[$Source of information: Wikipedia$]$

Startups play a major role in economic growth. They bring new ideas, spur innovation, create employment thereby moving the economy. There has been an exponential growth in startups over the past few years. This dataset is to predict the success of a startup and help investors find companies that have the potential for rapid growth, thereby allowing them to be one step ahead of the competition.

Some analyses you should do $($as a sample$)$ are listed as follows. These are just sample analyses suggested. You should look at every variable individually and determine if they can provide insights, and incorporate pivot tables, charts, hypothesis testing, regressions, or cluster analysis etc, if applicable.

Which state has the highest percentage of startups?

What is the average age of startups in each state?

What category of company secures the most funding?

Are there any key variables that influence the amount of funding?