Creating a Survey App on Streamlit Utilizing Collected Data
In the world of winter sports, understanding the preferences and habits of skiers is crucial for brands and organisations. Lukas Bös, a data enthusiast, has developed an innovative solution to this challenge - a Streamlit-based application for analysing ski surveys.
The project, available on GitHub, was built with a clear goal in mind: to display the brands the audience had bought into based on the number of times they ski a year and their preferred style of skiing. To achieve this, Bös used Pandas in a Jupyter Notebook to clean and format the survey data.
The application was designed to be interactive and user-friendly. Streamlit's selectbox was utilised to allow users to select input data, making the analysis process simple and intuitive. The selected data fed into the core function of the script, producing a barplot that visualises the results.
Bös ensured that the application was mobile-first, ensuring cross-device compatibility. The column names in the dataframe were formatted for ease of use, with shortened, lowercase, and no spaces for clear understanding.
One of the key features of the application is its interactivity. Users can select their own input data, making the tool accessible to individuals with zero analytics skills. This interactivity also makes the application ideal for brand partners and colleagues to engage with the data.
The creation of this application marked a significant step in turning pedestrian survey data into a valuable tool. By making complex data analysis accessible and interactive, Bös has made it easier for everyone to gain insights from ski surveys.
The Streamlit-based application for analysing ski surveys is a testament to the power of data and technology in the sports industry. Bös invites connections on LinkedIn to discuss the project further, and the source code for the application can be found on his GitHub page. The application is also easy to get into production on the Streamlit cloud, making it accessible to a wide audience.
