Data Visual and Data Cleaning

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1

Hi All

I started with streamlit a couple of weeks ago and built my first app and hosted it on heroku.
The current project does following:

  1. Takes csv data as input
  2. Provides insights to your data (like columns, head, summary, etc)
  3. Performs basic data cleaning
  4. Gives visuals to your data
  5. Download option to download the cleansed data

I am a beginner and this is basic according to me but I am super excited to take it to next level with your feedback and suggestions.

I have hosted it on heroku and the link is below:

Data Uber

image
image2560Ă—1199 209 KB

PS: Couldn’t think of a more creative name. Any suggestions are welcomed.

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Hi @rajat4493, welcome to the Streamlit community!

Don’t sell yourself short! Sharing is one of the hardest things to do in an open-source community, which is why so few people do it. So you’re already ahead of so many others :+1:

Are you going to share the code for this as well, or just the app?

I don’t have a whole lot to recommend right now, as I haven’t had time to play with it yet, but I did notice:

  • “outliners” can be replaced with “outliers”
  • “Affects on the original dataset - Irreversible” can probably be written “Modifies original dataset - Irreversible”

Best,
Randy

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Wow no this does NOT look basic at all :star_struck: I can see there’s a lot of little Streamlit tips sprinkled in this app :slight_smile: is the code accessible if we want to peek into this ?

I like the fact you chose to use a button to generate the chart on demand rather than rerendering it everytime you apply some cleaning. Though then I just generated a plot without having selected any column so I’d remove that button until a column is selected…

I was not sure whether the rendered graph took the cleaning step into consideration. I was expecting to see data disappear or colored removed by cleaning in red for example to show the change, or maybe some description of where exactly the cleaning occurs.

Great work @rajat4493 !

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This is a fantastic app. My only suggestion add more visualization option. It will make the app even better.
Also Is the code available for public view?

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Very good app. I also have a demo using i think the same code base as the original poster( code was gotten from a blog: https://blog.jcharistech.com/). The owner of the blog has very good streamlit apps with their code.

My demo is: pymard.herokuapp.com

It’s an app to predict loan applications status and it’s also a data visualisation app.

code can be found at https://github.com/uwa234/Data-Science-Projects/blob/master/ML%20and%20Data%20visualisation%20script

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Thank you all for the encouragement and appreciation. I am working on fine-tuning the code and adding few more features. Will make it public after it’s done

@Naseb-HR - Thanks for that, even I was thinking the same. Will certainly look into it
@fibo12 - Yes this is an amazing channel for reference, it did help me to start up.

Regards
Rajat Pandey

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Hey @rajat4493

Please share the code once done i am very excited to see the behind code to understand this better.

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Hi @Archit_Sharma

My apologies for being late in responding sooner.

I have enclosed the Github link for the code, feel free to pull, start and branch as per your need.

DataExplorer

I haven’t done much from last year in streamlit and I am sure, I need to catch-up plethora of updates that have come.

Regards
Rajat

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where is the code