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Data for a startup's failure was collected, cleaned and visualized with the goal to determine the underlying factors of why some companies fail while others succeed. It was found that 4 main factors are of importance: Funding, time, product and market.

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anose001/Why-do-startups-fail-An-exploratory-data-analysis

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This is the link to my published article:

The following provides a list in the format 'filename: content':

  • A_short_story_on_the_factors_why_companies_fail.ipynb: Contains the story and plotted graphs

  • Part_I_Webscrapping_wordcloud_wordcounts.ipynb: Contains procedures to webscrape, process and plot data

  • Part_II_Crunchbase_EDA.ipynb: Contains procedures process and plot data

  • Wordcloud_plot.ipynb: Plots wordcloud (seperate environment for wordcloud library required)

  • Compile_data_files.ipynb: Script which compiles crunchbase data into a single file 'Failed_StartUps_2000_2019.csv'

  • Failed_StartUps_2000_2019.csv: Contains CrunchBase data for companies that have failed (this data can and shall only be used for non commercial purposes)

  • Obituaries_of_failed_companies.csv: Obituaries from cbsinsights. Contains all 311 final statements after a company fails.

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Data for a startup's failure was collected, cleaned and visualized with the goal to determine the underlying factors of why some companies fail while others succeed. It was found that 4 main factors are of importance: Funding, time, product and market.

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