Team Members Group 12: Fabrizio Borrelli 789121, Daniele De Robertis 787291, Davide Paquette 789331, Raffaele Torelli 775831
This project leverages extensive datasets to track the growth and trends in the Unicorns ecosystem. Our analysis provides insights into the factors contributing to the success of these billion-dollar start-ups, starting with an overview of the Unicorns' geographic-level expansion, and then focusing on industry-specific developments.
These are the 4 Dataset which we utilized for our project:
- Unicorns collection of data: https://dealroom.co/our-data
- Investors collection of data: https://dealroom.co/our-data
- Capitals' names and others location informations: https://dealroom.co/our-data
- Startups' data for each country: https://dealroom.co/our-data
Firstly, make sure to download all the files that are in the GitHub Repository.
Refer to the following link: https://realpython.com/lessons/using-requirement-files/ in order to ensure correct installment of the requirements.txt.
Ensure that all file libraries are installed.
Afterwards, make sure to edit the required paths in the file called app.py, on the rows: 10, 11, 12, 13, 14, 15, 16 ,17, 2412, 2420, 2427, 2434.
Run the follwing code: streamlit run app.py to generate the website (make sure to include the path of the python file).
Before running the code, install these libraries:
STREAMLIT: this library enables to run correctly our code on the webpage.PANDAS: this library enables data manipulation and analysis.NUMPY: this library enables mathematical and scientific operations on multidimensional arrays.PLOTLY.EXPRESS: this library enables the creation interactive data visualizations.PLOTLY.GRAPH_OBJECTS: this library enables the creation customized and highly customizable data visualizations
For more information, please visit our Github: https://github.com/daniddr22/Data-Visualization-Project.