D-Tale The Best Library To Perform Exploratory Data Analysis Using Single Line Of Code🔥🔥🔥🔥

[@usharaniboppana882]

Amazing 👍👍👍👍👍👍 krish you to amazing for sharing this info 🙏🙏🙏🙏🙏🙏

[@bodohbengap2592]

will definitely save a lot of time on EDA. Whoever create this library, I can't thank enough for your contribution on Ds field. For Krish, thanks for introducing to us and let us all experience this beautiful library.

[@pratikjadhav5244]

This is amazing EDA has just become so damn easier now. thank you sir

[@nothing8919]

finally finished the complete Machine learning playlist , I learned alot of different algorithms with application, still some things related to deployment that I didn't understand but all in all Learning Machine Learning will never end and there is no limit . NOW I'm ready to go to the NLP playlist . THANK YOU Krish Naik you are the best teacher.

[@tykemonster6416]

Holy EDA!!. 😳😳. This is so helpful. It ll really save some time..

[@nibinjoseph2136]

Great! The work is getting easy, burden of coding is also getting reduced. What if someone brings automated ML algorithms??? ufffff

[@anandteerthrparvatikar5359]

Wow, Krish Many Thanks, saved my rinsing future time :)

[@sagnikbanerjee4862]

Amazing library.. Data Analysis can be done with just a single line of code 😮..

[@shoaibalauddin8087]

Superb amazing, perfect for experienced data scientists. ✌

[@GAUTAMKUMAR-wc4ht]

Brother you give hopes🙏 doing an amazing work.

[@theoutlet9300]

this is so amazing. its easy to use like power bi/tableau with the flexibility of python. awesome. definitely will have to spend a lot of time with this awesome library

[@monilshah04]

this is amazing. Thank you for showing it.

[@sachinmandhotra2741]

Yeah...this one is quite cool... I'm also working on it🔥🔥🔥

[@kpratik5551000]

Fantastic. In future, all EDA processes will be done like this kind of API. Only thing left for human is to choose algorithm for ML.

[@Holasticlogger]

And whole idea of Data Scientist Jobs would be taken off with help of data scientist themselves !! :-P

[@shalinianunay2713]

@@Holasticlogger Very true...

[@kpratik5551000]

@@Holasticlogger LOL. It would.

[@Me_anmolkohli27]

Paji, u run the best Data science youtube channel. I apply your tricks, tips and what not on my job 😇😍

[@AbhishekSingh-og7kf]

What an amazing library , Thank you Sir!

[@natarajanlalgudi]

Good one. Thanks for sharing Krish.

[@natarajanlalgudi]

Just used it on colab. Did the following to make it work: import dtale import dtale.app as dtale_app dtale_app.USE_COLAB = True

[@abhijitsingh9987]

Pandas profiling is also great but nothing compared to d-tale

[@j.rajesh487]

Hiii Krish, Thank you once again for a wonderful video. I really liked all your videos on EDA. I came across other EDA package called "Autoviz". I request you to explore Autoviz and come back with wonderful video again. Thank you :)

[@krishnamore7997]

God bless him who made this

[@keerthivasini]

This is awesome, Thank you sir

[@piyushsingla7429]

Thanks for considering my comment.. Lots of Love to you bro.. I want you to showcase my GitHub Repository for ML and I am currently developing for DL.. Right Now it is Hidden. Once you want to cover it I will unhide it.

[@ameermohamedr4982]

You did a great job man @piyush singala. Thanks for mentioning this

[@piyushsingla7429]

You are welcome brother. It feels good to share things.

[@piyushsingla7429]

@Krish: Pinged you on Telegram

[@dr.strangegaming4714]

thanks for sharing , Dtale is amazing

[@jimharrington5678]

Guruji next level

[@saurabhdeswal3292]

Omg... This is amazing 🔥🔥

[@sameerpanda8529]

Excellent.

[@sandipansarkar9211]

Great explanation. Need to get my hands dirty with Jupiter notebook.Thanks

[@somnathbanerjee2057]

Just awesome....

[@nikhilm422]

What an amazing library!

[@wassoftasanka8519]

amazing thanks for sharing

[@digipak07]

Greetings from Pakistan. Great tutorial

[@_curiosity...8731]

Kindly make a video on "Model Calibration in Machine learning"

[@santhanalakshmism22]

Yeah !! For model calibration we need the model to run for some period of time right and then we can explain what's happening

[@somnathbanerjee2057]

You can use pycaret.

[@supervickeyy1521]

This is amazing !

[@rookiedrummer6838]

Wow this is awsome

[@punitkhandelwal6726]

This is amazing

[@nik7867]

How energetic and happy Krish is perfectly reflecting in his tone😂😂😂

[@A-Frame_music]

Amazing!

[@ArvindKumar-ml6rb]

Really helpful for my work

[@raneshmitra8156]

This is best...

[@vigneshnagaraj7137]

Wow

[@mounicak5923]

Helpful

[@lokeshjoshi9734]

Awesome..

[@yashsolanki069]

Sir what's you view on the book "machine learning for humans" by vishal maini ?

[@adhishv4537]

while i run dtale.show() its showing nothing.just a white bg only.what to do?

[@ASNPersonal]

Ca you look into libraries AutoViz / LUX / DataPrep?

[@ahnaftahmidarnab6754]

Wow. Thanks man.

[@attilajuhasz8]

omg this is something!!!

[@vikasdudhe9546]

I am not able to use dtale when installed it takes time and then says laptopname is taking too long time to connect

[@angelashang9778]

Hi Krish, that's amazing library. However when I run the script: dtale.show(df), it always gave me error message like:　0.0.7.224:40000/dtale//3 is unreachable? May I know how to proceed next? Thanks.

[@andrewschonfeld2236]

If you’re running it as a script please use dtale.show(df, subprocess=False) this will make it a long running process. Otherwise it will end right after it starts since its a script and not being spawned from a long-running process like a jupyter notebook.

[@rajendradaslyf]

Spoiled with choices now but this library should be used as a quick EDA snap only and not as the replacement of our regular EDA process.

[@aathkm5932]

missing values also fill in this library? or not? krish

[@ponrajs5396]

Hi sir I have one doubt, is there any ways that could I update trained models with new dataset For example I've trained the model for 2 image classification could I update model with one new classification like 3 images classification without training with old 2 image dataset

[@reshmasingh1099]

Hi Krish I want to know about the entire process of data Analysis. After getting raw data(contains both continuous and categorical data), what would be the series of steps to get clean data?

[@akshatdubey9413]

Check out the machine learning playlist by Krish. The videos are available there.

[@saeedkhan246]

If someone knows more libraries like this one, please comment

[@chiazamochiegbu848]

Autoplotter, sweetviz, vaex etc

[@jaydeshmukh2954]

I can't seem to use dtale with Spyder. Any suggestions on how can I make it work? Thanks!

[@madhumithan6653]

Hi sir,thanks for the video, ,i m trying to use dtale,but after it is imported successfully,when i type dtale.show(df),a link is coming in output,which is not opening.Plz someone help

[@Hurairahgiri]

Thank you for sharing. One suggestion, kindly spend at least more than a day with a library before making a video on it. I appreciate you sharing this with us, but all viewers could benefit more if you researched more before creating a video on Dtale. Cheers!

[@TheSizenandosales]

Thank you!!!!

[@ADITYASINGHthesoftwareengineer]

Hi Krish, if my feature is right skewed, shoul i log transform and use it as feature or I can do scaling?

[@SabujGhosh]

Mass has NaN values

[@sonubhati3088]

Hlo Krish sir , can you please make the video on complete roadmap for a non technical guy like B.com??. I think you are person who should guide aspiring data scientist .

[@datalover120]

Wil it work in vs code?

[@saurabhhase6871]

Hey krish, i am unable to use dtale on google colab, I run the code it executed properly but the public server link is not opening as it is asking permission NGROK. I have created account and all but still not opening. can you please help me with that?

[@aditya9873027697]

Simple..

[@deewanapankaj]

Sir,How can we plot a large dataset with 2 million columns and 1 million rows.. ??

[@rohittiwari2394]

sir, Can we use this library at industry level data ?

[@sandipansarkar9211]

downloaded and worked in colab

[@kuldipjoshi1406]

mass has nans ..thats why giving error

[@ammar46]

I cannot install this LIbrary

[@manchalaanudeep7812]

are we allowed to use this library inreal-time

[@gamegod627]

I copied the code of the chart but when I paste it, I’m not getting the chart

[@andrewschonfeld2236]

This hs since been fixed, please upgrade “pip install -U dtale” sorry for the inconvenience

[@anishnehete]

@@andrewschonfeld2236 thanks bro

[@parneetkaur4444]

I tried it in colab. It gave a link after the show code and that link didn't work. tried in jupyter and is working. Plz tell why is it not working in colab

[@andrewschonfeld2236]

Did you set USE_COLAB to True? Here’s an example github.com/man-group/dtale#google-colab

[@nssbhaskar]

Will these things work with real world huge data?

[@vedanthbaliga7686]

I doubt it

[@andrewschonfeld2236]

@@vedanthbaliga7686 there is the ability to switch the mechanism which holds the data you load (currently it is just stored in memory). Here’s how: github.com/man-group/dtale/blob/master/docs/GLOBAL_STATE.md

[@Ligress]

great veido

[@Techog4Sale]

i'm thinking to do such a thing some1 steal the idea from my mind

[@sistematurma1964]

lol!!! what a fucking library!!!

[@r21061991]

These automatic libraries will destroy ML and Data scientists very soon

[@madhulikasuman2803]

Hi , i just want to add that , the code this lib generates for graphs and other stuff, are not correct. like i want counts based on language. the below code has been generated and its not correct, as its give syntax error. there are few erros which is staright way wrong like column name as in colons etc # DISCLAIMER: 'df' refers to the data you passed in when calling 'dtale.show' import pandas as pd df = df.groupby(['w','e','b','s','i','t','e','_','l','a','n','g','u','a','g','e']).aggregate({ 'distance': [''count''] }) df.columns = [' '.join([str(c) for c in col]).strip() for col in df.columns.values] if isinstance(df, (pd.DatetimeIndex, pd.MultiIndex)): df = df.to_frame(index=False) # remove any pre-existing indices for ease of use in the D-Tale code, but this is not required df = df.reset_index().drop('index', axis=1, errors='ignore') df.columns = [str(c) for c in df.columns] # update columns to strings in case they are numbers df = df.sort_values(['distance count'], ascending=[False])

[@SmitNReyansh]

Amazing!