Solve Real-World Data Science Tasks in Python | Data Analysis with Pandas & Plotly (Full Tutorial)

Amazing content and very helpful for me as dataScience big fan

Great Work ! i have a question though what did you install to enable folding e.g. collapseof the markdown and code ?

Perfect and quick

I have a frustrating problem here I would like to group by however it keeps on giving me KeyError I have no clue why please help me fix this problem
Thanks in advance

You have an extraordinary analytical skills

Thanks, you introduced me to profile report and autoviz which makes things so much easier.. this is appreciated

Thank you very much .
For the below code i am getting an error "All arguments should have the same length. The length of argument `y` is 2, whereas the length of previous arguments ['Order Date'] is 3312" . Can you please assist me on this.

# Create Chart
fig = px.line(df_sorted,
x='Order Date',
y=['cummulative_sales','cummulative_profit'],
template = template_style,
title= '<b>Sales/Profit Development</b>')

# Display Plot
fig.show()

THIS IS TRULY AWESOME! THANKS!!!

But how did you add those bullet navigation keys for ur notebook in markdown headers that u showed during introduction timestamp. please guide me

24mins of pure quality stuff . Thanks , Love from india

Great video man! just discovered your chanel and it's been amazing watching you explain, thanks a lot for the effort!

Thanks!

Great content and easy to follow. Thank you so much. Hope you will continue pulishing more videos about this topic in the future

How can I group all subcategory and see their avg discount?

I didn't got any error but AutoViz didnt show any visulizations just says AUTO VISUALIZATION Completed??

This is so amazing! This channel needs more recognition. Quality you have delivered is off the charts!

In love with your video

This video deserves 100k likes. I paid for a coursera data analysis with python course, nowhere near the usefulness of this video. Thank you Sven.

Thank you 💓

You're amazing dude, i really appreciated your work... very useful

Awesome video mate! I subscribed to your channel already :)

Great video(s). I love all your videos. I know you're a busy guy. I am having issues with rendering widgets report. It stops and points to the following # view in notebook with an error pointing to profile.to_widgets() would you know why I'm getting this error? Thanks

Couldn't I just do this in Excel too? this might be an ignorant question but why use python for this?

awesome video tnx Bro

I love your videos please create more real-life data science example

Real good. Thanks man

Nice video! Though I have a question, I want to start a project where I want to analyse historical value of stockmarket and crypto and I want to analyse for correlations and plot it and detect some patterns..but I want to start first with the dataset and analyzing and slicing for a meaningfull dataset , if you know what I mean and can I for example correlate that with certain alt coins..I want to do a full research on it, what would you suggest? I was thinking first in R then I thought of notebook Jupyter ..and or in python..

great explanantion! this would be the best tutorial I have ever learned

lol autoviz be like: You want to do data visualization? say no more..

Please do keep on making videos related to excel, it is very helpful for businesses and our works in the office.

Rich content, bro!

Wow !!! Thank you thank you Bro. In 20 minutes you explain all the work for datascience. Probably God send you here right now. Lol

Excellent tutorial! Thank you!

Great tutorial! Thank you for the content.

Great job this is going to be very useful! Thank you :D

Awesome video Sven, very well detailed and explained! Keep up the awesome work, can't wait to watch your next upload.

Awesome video! Very thorough and well-explained. Would appreciate more videos like this with data exploration analysis and problem solving on real data-sets, preferably on a bit more complex and messy data sets so that you also include cleaning of the data. Thanks!

👏 Echt gutes Video mit super Erklärungen. Danke dafür.

This is a perfect example how to handle data, instead of using Excel. Python is much more powerful than Excel can ever be!
I'm trying to introduce it into my company. Simple, effortless and super-fast!
Great job btw!!! ;-)

This is gonna help me in my daily work. Thank you

Really detailed and exhaustive! Very high quality content!