Startup_Analysis

A tool to analyze charateristics of startups across United States. Analyze various factors including:

• Location, plays an important role in funding and growth.
• Founding date, depicts the strategies, technology advancements, etc.
• Stauts, analyze based on its status - Operating, Closed, Acquired, Not operating.
• Category, business category the startup operates in plays a huge role with the competetors in consideration.
• Funding amount, classify companies based on the funding received by setting a threshold amount.

DataSet

The data set for this analysis has been generated from various sources like Curnchbase and web scraping.

Demo

Shows startup over the last 20 years and effect of

1. Its location
2. Founding date.
3. Operational categeory and number of opponents.
4. Funding rounds.

• Blue dots represent compnies with funding above threshold.
• Ash color dots represent companies with funding below threshold.

• Overview of the bay area

• Inspecting Los Angeles from 2005 to 2015

• Browsing varoius categories and companies

• Exploring closed and acquired companies.

Instructions for setup

• Clone this repo.

Setup Mongo

• Install and setup Mongo. Refer for specific instructions.
• Import the final_data1.csv into a collection with name ‘companies’.
• Import statesnums.csv into ‘statenums’ collection.
• Import uscounty1.json into ‘uscounty’ collection.

Running the app

• Install flask with pip install flask

• Run the Startup_Analysis.py to launch the app. python Startup_Analysis.py

Built With:

• Python Flask
• MongoDB
• D3.js