Tutorial 9- Seaborn Tutorial- Distplot, Joinplot, Pairplot Part 1

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4 жыл бұрын

Hello All,
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Пікірлер: 125

@hanman5195 4 жыл бұрын

there are many institutions including online courses charging anything more than 1 lack but not able explain concisely and clearly the you way you do it. I like your explanation very much.

@poojabhakuni464 4 жыл бұрын

Negative correlation implies that if one is increasing other is decreasing (in reference to 11:01 )

@mellowftw 2 жыл бұрын

Yes you're right it got me confused as well he should address it for future viewers

@sumaiyamohiyuddin8173 4 жыл бұрын

Crystal clear explanation .I bet no online courses explain it so well. Thanks a lot

@gaganhsjois5626 3 жыл бұрын

This Guy is Amazing. He can teach you Data science in a very simple way. Cheers!!!!!

@rk1501 3 жыл бұрын

This video is amazing!! I was having some issues with graphs , you just cleared every problem of mine in a single video. Thank You So much!!

@ZorroOZ_music Жыл бұрын

Krish sir. You are an inspiration. I am a student of upgrad but I am learning through your video about Data Analytics. Thanks a lot sir.

@aishhu24 2 жыл бұрын

Like the way you explain things . So precise and clear. Kudos to you 👍👍

@MohamedAshraf-zs6nv 4 жыл бұрын

Correction: correlation is (+) means they are directly proportional correlation is (-) means they are inversely proportional

@luckymoon2488 2 жыл бұрын

kdkk bhaii thankss

@anantv10 3 жыл бұрын

Bro... u r the best educator.

@rachitgoyal9117 Жыл бұрын

[On lighter note] Apart from your wonderful way to describe the complex concept to simple manner, One thing I noticed and important to note: "This is pretty much simple" :D

@VinayKumar-fp2fc 4 жыл бұрын

you really nailed..i was struggling to plot seaborn graphs..

@vasisthdave6926 3 жыл бұрын

Inreference to 11:01 Negative correlation means those features are inversely proportional.It clearly means one increases will result into another one decreasing.

@KetakiVaidya 4 жыл бұрын

Thanks for this video,Krish. Very well elucidated. Request you to kindly correct your notebook and change "JoinPlot" to "JointPlot"

@shwetaredkar734 4 жыл бұрын

Thank you for all these efforts and helping people out. I am in love with you. :)

@AmitYadav-ig8yt 4 жыл бұрын

Please dont scare him with #Metoo sentiment .. :))

@gournilsawant7659 4 жыл бұрын

Can't wait for EDA

@touhidislamTOUHID498 3 жыл бұрын

Thank you for clear explanantion

@AbhishekRana-ye9uw 3 жыл бұрын

very helpful sir thank you

@shivamchauhan7827 4 жыл бұрын

Carry on sir please next video

@tejareddy1692 Жыл бұрын

Thank you for the sharing👍

@KetakiVaidya 4 жыл бұрын

Hi Krish. One small suggestion. You can use import warnings warnings.filterwarnings("ignore") to ignore the warnings that you are otherwise getting when plotting the distplot.

@harshittrivedi8766 4 жыл бұрын

File ko kaise read kare restaurant wale data ko python me

@indirajithkv7793 2 жыл бұрын

Krish it's too interesting...❤💫

@luckymoon2488 2 жыл бұрын

when i done practical in clg i just get output as some fig. and i was happy with that like i'm getting ourtput. But here i undersand the meaning behind that fig. like regression lines, heatmap and all also i understand waht really problems are and what innsigts fig are providing

@louerleseigneur4532 3 жыл бұрын

Thanks Krish

@vinodkinoni4863 4 жыл бұрын

Nice sir

@sumitverma1402 4 жыл бұрын

Keep it up

@DataInsights2001 3 жыл бұрын

It would be nice to add service quality feature like (low,medium, good, very good) to predict tip......

@anugantisuresh5935 4 жыл бұрын

Nice video. Have one question, when to use dist plots? joinplot & pairplot explained when to use.

@gudejyothi6228 3 жыл бұрын

how can we know what is independent variable and which is dependent feature.i mean every time in the question we may not get the details of this thing? can you please explain for this

@_Queeny_ 4 жыл бұрын

Sir why did I get an error in this statement.. df=sns.load_dataset("tips")

@mausamrajbanshi3192 3 жыл бұрын

@11:00 negative correlation mens as one feature value increase next feature value decreases as of i knew. Correct me sir if m wrong.

@aswathisoman8183 3 жыл бұрын

ya its that way.

@jeevanthikaratan5181 2 жыл бұрын

Around 11:15, you said if total bill is decreasing then tip also decreases which is negatively correlated however they should actually head in opposite directions if the total bill increases, then the tip should be decreasing, correct?

@hometvfirestick 2 жыл бұрын

thanks

@almostworthy2973 3 жыл бұрын

Note: distpot() has been depricated use displot() instead. :)

@zulfi1 3 жыл бұрын

i am bit confused for the x and y labels in the command " sns.jointplot(x='tip', y ='total_bill', data=df, kind='hex') " which starts some where at 13:00. the confusion is, x label should be 'total_bill' and y should be 'tip' because tip is dependent on the bill and there are many chances when there is no tip at all, customer just pay the bill it means tip is dependent not the bill. will you please clarify this doubt?

@AnkitKumar-ss7sx 3 жыл бұрын

How do you analyse this graph 11:54 by looking at it?

@rohitprakashmathur 3 жыл бұрын

Hey for drawing the diagrams how do you do?

@sagarchandradas6326 4 жыл бұрын

which correlation is good? positive or negative?

@mahery_ranaivoson 4 жыл бұрын

So what type of technique we could use to find out the relationship between categorical features and the dependent variable?

@gournilsawant7659 4 жыл бұрын

Great question.

@sashpatra88 4 жыл бұрын

We can use bar plot to show this relationship. sns.barplot(x='sex',y='tip',data=df)

@prudhvikumar6293 4 жыл бұрын

seaborn.pydata.org/tutorial/categorical.html take a look at this, this covers most of the techniques!

@sashaankadibhatla2261 3 жыл бұрын

you can use Predictive Power Score but with higher dimensionality, the computational power of PPS is high Can refer this : towardsdatascience.com/rip-correlation-introducing-the-predictive-power-score-3d90808b9598

@nagabharathi1912 3 жыл бұрын

@@sashpatra88 helpfull

@shahnawazkhan1636 3 жыл бұрын

How to understand dependent and independent variable,bacause you told in this video "tips" is dependent variable,please answer the question.

@Roam_with_RC 4 жыл бұрын

Sir I am getting confused where I have to use brackets and square brackets, While typing code and retrieving data. where exactly we use bracket and square bracket ?

@farazahmed1668 3 жыл бұрын

we use square brackets when we wokring with pandas data frame and selecting the column like df.["ttips"] and otherwise we use round brackets.

@kumarponnoju6688 3 жыл бұрын

did u complete this playlist ?

@deshdeepakverma3170 Жыл бұрын

For practice

@prabhats011 4 жыл бұрын

Krish my question is in join plot when you have taken two features and calling it both. bivariate and univariate. so clr that one. what we have to consider and why?

@prabhats011 4 жыл бұрын

ohk i got the answer...

@aenugulasheikdadapeer5336 Жыл бұрын

Sir i am getting while loading dataset, URLError:

@lthirumaal 3 жыл бұрын

Hi Krish.. I see in Tab that u were seeing singam song .. Kadhal vandale kaal rendum song.. While recording this video

@helalali6555 4 жыл бұрын

In loading this dataset it is showing error

@nirmalparmar2162 Жыл бұрын

The 'tips' file...where it is came from.. please anyone can explain to em who can understand??

@aayushijain2160 4 жыл бұрын

I have a question, can you tell me how to identify the dependent or independent feature.

@abhijithanumale9845 3 жыл бұрын

Price is depend upon area so price become dependent variable and area become independent same like this

@rakeshmeena5707 2 жыл бұрын

Where and how tips dataset

@mohammedkhalidahmed651 Жыл бұрын

Sir how to see parameters of a function in colab shift+tab is not working

@JayasuryanChandrasekharCMF 2 жыл бұрын

AttributeError: module 'seaborn' has no attribute 'replot' . Can someone confirm what was done to fix this error?

@gyaneshyadav994 Ай бұрын

df.corr() showing error It shows: could not convert string to float for the data frame in starting of video @ 10.01

@PyGeniusStudios-official Ай бұрын

Correct is df. Corr(numeric_only=True)

@omkarkharkar5998 4 жыл бұрын

Hello sir while practicing sea born I'm getting this error(RuntimeError: In FT2Font: Can not load face.) please tell me to solve this error

@rajadas-ij2vi 3 жыл бұрын

I am also getting the same error

@meetanshul.1691 4 жыл бұрын

Sir will you please make a video on Hypothesis testing.

@mahery_ranaivoson 4 жыл бұрын

@swapnagadimuthaka1711 3 жыл бұрын

sir..what is kaggle ?

@naveentripathi6828 4 ай бұрын

Jointplot

@helalali6555 4 жыл бұрын

Sir i cant run this code

@sharanmagesh4167 4 ай бұрын

I'm getting value error when i'm trying to convert the dataset into correaltion matrix

@bichdiepvi1136 3 ай бұрын

u can try this code: df.corr(numeric_only = True)

@Kitchen24000 Жыл бұрын

Can we publish this reports Anyone can answer

@deshdeepakverma3170 Жыл бұрын

Dear sir please give the link of iris data set link

@aradhanasingh836 4 жыл бұрын

from where to get tips data set

@amalsunil4722 4 жыл бұрын

it's already inbuilt within the seaborn module

@vikramshanmugam1323 3 жыл бұрын

You can get the same table. Write the correct code !

@rajadas-ij2vi 3 жыл бұрын

@NITESH KUMAR did you get the solution...I am also facing same problem

@triptitiwari7533 Жыл бұрын

what is KDE??

@fysalsyed3104 3 жыл бұрын

Sir, In kaggle which dataset are you import ? please give the URL of that dataset called tips

@ismailabdulaziz1994 3 жыл бұрын

tips is there an in built data set of seaborn library. the data set is available in the library itself you have to read the file. hope this helps.

@satyazigyansu6873 11 ай бұрын

df.corr() is not working it shows could not convert string to float: 'no

@prathamchauhan5140 6 ай бұрын

@prathamchauhan5140 1 second ago for this error: could not convert string to float instead of writing dfcorr() write this--> df.corr(numeric_only=True)

@abhishekdagar3949 Жыл бұрын

@KrishNaik sir Can Any body tell me please I am getting this error ValueError: could not convert string to float: 'No' when I run cell with df.corr() what should I Do my code:- import seaborn as sns df = sns.load_dataset("tips") df.corr()

@og6265 Жыл бұрын

df_numeric = df.select_dtypes(include=['float64', 'int64']) use this above df.corr()

@km02editz69 6 ай бұрын

@@og6265 again iam getting same error as valueError : couldn't convert string to float

@prathamchauhan5140 6 ай бұрын

@@km02editz69 i am also getting same error

@prathamchauhan5140 6 ай бұрын

for this error: could not convert string to float instead of writing dfcorr() write this--> df.corr(numeric_only=True)

@km02editz69 6 ай бұрын

@@prathamchauhan5140 Thank you so much great help

@kunalkumaraiml2365 6 ай бұрын

Can anyone resolve it, Why df.corr() is showing error of 'string can't be converted into int'

@sainikhil6890 5 ай бұрын

you can drop the columns that are having categorical values from dataset using df.drop(['smoker','sex','day','time'],axis=1,inplace=True) and try

@kunalkumaraiml2365 5 ай бұрын

@@sainikhil6890 Thanks

@vineetkrpandey7641 2 ай бұрын

tut9 done 14/04/2024

@BharathPARUL 2 ай бұрын

df =sns.load_dataset("tips") df.head() df.corr() it gives an error: could not convert string to float what we have to do? sir..

@ncerttamil7129 2 ай бұрын

im also facing the same error how to overcome this

@ncerttamil7129 2 ай бұрын

bro did you got any idea

@BharathPARUL 2 ай бұрын

@@ncerttamil7129 df_encoded = pd.get_dummies(df) correlation_matrix = df_encoded.corr() df_encoded.head() Firstly import pandas as pd

@BharathPARUL 2 ай бұрын

@@ncerttamil7129 df_encoded = pd.get_dummies(df) # here we change strings values into int values then only we can correlate correlation_matrix = df_encoded.corr() correlation_matrix.head()

@BharathPARUL 2 ай бұрын

df_encoded = pd.get_dummies(df) # here we change strings values into int values then only we can correlate correlation_matrix = df_encoded.corr() correlation_matrix.head() Then sns.heatmap(correlation_matrix)

@harshittrivedi8766 4 жыл бұрын

Sir ye file restaurant wali kaise read kare python me

@DeepakKumar-uq9js 11 ай бұрын

correlation find kaise hoga? df.corr() not working...its not creating matrix and hence fails to work plz reply

@nakulmehta8372 10 ай бұрын

same

@MrSaibi10 10 ай бұрын

@@nakulmehta8372 For the newer pandas version you need to specify: df.corr (numeric_only=True). Should work then

@prathamchauhan5140 6 ай бұрын

@prathamchauhan5140 1 second ago for this error: could not convert string to float instead of writing dfcorr() write this--> df.corr(numeric_only=True)

@prathamchauhan5140 6 ай бұрын

@@nakulmehta8372 @prathamchauhan5140 1 second ago for this error: could not convert string to float instead of writing dfcorr() write this--> df.corr(numeric_only=True)

@rajivnair2717 5 ай бұрын

getting valueerror when running df.corr().can anyone help

@sohamjha7578 4 ай бұрын

same isuue

@km02editz69 6 ай бұрын

Getting valueError: couldn't convert string to float When iam trying to execute df.corr()

@prathamchauhan5140 6 ай бұрын

@prathamchauhan5140 1 second ago for this error: could not convert string to float instead of writing dfcorr() write this--> df.corr(numeric_only=True)

@debjyotiroy842 3 жыл бұрын

The explanation of correlation was incorrect...if the correlation coefficient is negative then it means if total bill increases then tip decreases

@Pranav-ie1ik Ай бұрын

if anyone cares to explain df.corr() is giving error ValueError: could not convert string to float: 'No'

@prabhudas6607 Ай бұрын

df.corr(numeric_only=True)

@sickyoo 3 жыл бұрын

Hi Krish Dada I am following your videos of python and machine learning Till now I am into seaborn tutorial I am from database background Will need your help to understand once I have hands on in the topics of Machine learning, how can I prepare for interviews and can jump to this new domain Though its very early to ask as I have just started but your response will be highly appreciated Thanks Dada