Data Visualization BATTLE! 

I really liked this. Making good graphs is hard work and this style of video shows a lot of tricks in a short amount of time. I learned at least 5 tricks from this video!

Please more Data visualization tutorials, also with only categorical variables. There is literally NOTHING on youtube and I love your format and your explanations. Keep up the great work you'll definitely hit 1M

This is just mindblowing. Please keep them coming. I suck at making plots. Specially with all the other things to handle in them. Looking at his video gives me confidence that it is not THAT hard but it can be done if you practice it daily. And after some point it becomes instinct.

Thank you so much! I’m new into data science and I’ve been looking for videos that show raw process of data science and failed. Your videos are so good in that they show how a data professional actually do to solve these problems!

We're enjoying it Csanád, you are the best

Thank you for the video and livestreams! The energy is absolutely amazing! In my opinion, you are literally doing some magic on air. While watching a livestream, I must set everything else aside, because it is difficult to get un-glued during the stream! I would like to ask you few questions, if I may. As someone, who contemplates a career change, I would like to understand what I need to study. 1) First and foremost, what libraries do you use the most (say, 80% of your time)? I would assume pandas, numpy, matplotlib, seaborn, sci-kit learn. What else have I missed? 2) Without going into specifics, on your daily job, what is the end-product of your data analysis? Is it an intelligence brief, a memo, a report? I come from a research background, so I my case an end product of all experiments is a paper in a peer-review journal. Let's say, I want to do a practice project for my portfolio and I want to make it look like a finished product, not just handful of charts. How would I do it? 3) Have you ever been on hiring committees? I am wondering, what you will be looking for in a candidate as the data analyst? In my case, I do not have a Computer Sci. degree or Data Sci. degree, how can I make myself competitive in this market? Many thanks for your answers!

thanks for the great video Rob! so helpful for our work.

Pretty cool. I liked that. I'm surely going to dive more into your videos

This battle is awesome

great video, keep it up. would like to hear more about your thought process and problem definitions

Good stuff, very realistic experience. It is clear that even for an expert as yourself data wrangling takes time and effort.

That's soo good!! Keep up!

Excellent vid plz make another one

Please do more of these videos!

Loved this video

Nice video. How did you run the cell with the cursor staying active on the same position? Seems very useful. Edit: (Found the right keyword for search. It's Ctrl+Alt+enter) Damn, I've been using it for 6 months and didn't know about it. Could have saved a lot of time. This just shows no matter little things could be, it will always help someone out there somehow. Subscribed!

This is a great format. I enjoyed the video. Where do the datasets come from? I deal with a lot of timeseries data (data acquisition systems gathering second by second data)...

Entertaining and informative

impressive knowledgeof the subject !

Wow this is going to be fun

Never used any of these for the final presentation in my 7 years of experience in data science. Power bi or Excel is the tool to go.

Thank's for the video :) But one question, why do you start your path string with '..'?

4:12 For some reason, with Pandas v1.5.3, "df_subset.columns = [c[1] for c in df_subset.columns]" doesn't split the multi-indexed columns like you show. I had to split the DataFrame by adding "['Count']" after the parenthesis when generating df_subset, otherwise you get "Id" values on the left and "Count" values on the right. Worse, the "Count" values are all colored zero.

I still wondering why do you use max - min for the first data set ?

You are doing a great 👍job.

Excellent.

Dfnitly wrong title, but an awesome vid on plotting!

What is your editor called?

You are hero!

I love the format, maybe use the same format for other things than visualization after it gets boring or repetitive

Can you do one with a bank's balance sheet

Where can I find this wheel?🤔

5 minutes for each and on live stream could be exciting 🧐

A little fast teaching methods, but let me subscribe

Typo on the title. It should be “Royale” but you have “Royal”

You’re clearly using pandas more than just importing the data.

How about you do this in 15 minutes or however many minutes you want (the time should be challenging enough) and the video has to be shot in 1 go. (no editing of video allowed during the coding time)