Gradio for Data Science Feedback Form
🤗 Thank you for taking the time to fill out this survey! Your responses will help us make gradio a better library for data science 🤗
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What is your preferred programming language for doing data science?
Which are your preferred libraries for exploratory data analysis?
Which are your preferred libraries for building machine learning models on tabular data?
Which are your preferred libraries for creating plots and charts?
How would you summarize the data science work you do? 

For example, "Pull data from a postgres database to analyze changes in customer behavior", "Building fraud prediction models with sklearn". 
How do you share the results of your analyses or demo your machine learning models?
If you have created a web app to share an analysis or demo a machine learning model, which is your preferred library?
What are the things you like the most about your preferred library for creating data science web apps? Please specify which library you are talking about in your answer.
What are the things you like the least about your preferred library for creating data science web apps? Please specify which library you are talking about in your answer.
If you have used gradio in the past, please share anything you liked or disliked about using the gradio DataFrame component.
If you have used gradio in the past, please share anything you liked or disliked about using the gradio Plot component.
Do you have any other feedback?
Thank you!
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