RISE Amsterdam challenge

DATA CHALLENGE : We worked on Amsterdam RISE Challenge to find the Women participation in Startup and technology .We have used CRISP – DM –approach to solve our

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Inspiration

We took up this challenge to show the Women participation in tech and startups and to build the interactive Dashboard for RISE Amsterdam

What it does

It has interactive dashboard where you can select the parameters and it generates the required chart

How we built it

We first did the Data preparation and clean up by using Python pandas and numpy library . We then aggregrated the data in one Data frame as data were in different format . We then build the graphs using matplot and Seaborne library . Finally we built the dashboard using Streamlit

Challenges we ran into

Data availablity was the biggest challenge . We referred different websites i.e Techleap , crunch base , Eurostat ,KvK etc . We were able to get very less amount of data . We tried to use Web scrapping using Beautiful soup but could not fetct the data more than 27 rows

Accomplishments that we're proud of : We were able to build interactive dashboard which can generate the chart based on parameters selected and We did the word cloud on investors that shows the what are the top investors who supports female funded Startups

What we learned : We learned how to approach the data challenge using CRISP DM framework , team co-ordination , coding with the help of Python and use of different libraries , NLP to generate the word cloud and Streamlit to generate the final dashboard

What's next for RISE Amsterdam challenge : Make the raw data available so the proper analysis can be done . Also build the models to predict which startups can be more successful , analysis on industries wise start up etc .

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