Tutorial 23-Univariate, Bivariate and Multivariate Analysis- Part2 (EDA)-Data Science

[@himanshumangoli6708]

ur teaching skills are damn good man keep it up man lots of respect

[@sumantwankhede]

Just one tiny correction for Univariate x label should be Sepal Length ...all other good ..Thanks Krish

[@SwavimanKumar]

One small correction. That Hue is pronounced "Hiu" instead of "Hui". You are making absolutely great content. Love them all. Keep growing. (Y)

[@EcExplorer]

But I like how he pronounced 'HUII' :D

[@nagurramesh1685]

slave mindset ?

[@0Fallen0]

Another easy way to do the bivaruate plot at 11:20 is sns.scatterplot(df['sepal_length'],df['sepal_width'],hue=df['species'])

[@krishnasahoo4598]

thank you so much for this..I dont know why I was unable to understand this concept. Thanks for this

[@sengnawawnghkyeng9179]

The best explanation about these variates ...

[@pbanerjee4008]

Great job. Your sincerity shows. Wonderful effort.

[@wasimshaikh9147]

X lab should have been 'Sepal length' instead of 'Petal Length'

[@adis6867]

I came in comment box to check same

[@AadityaAgarwal-qo1km]

I love when krish calls Hue as Huiii

[@nabiltech1366]

So here are objective u can obtained by using this statistical method, 1)Which features have good impact for ur model 2)Which type of algorithms u should choos

[@piushsingh6066]

univariate, bivariate and multivariate analysis should be done before data prep-processing or after......Please Reply...

[@sindhuseelam2045]

after

[@sohamsarkar5255]

Isn't multivariant analysis a consolidated representation of bivariant analysis, where all possible combinations of bivariant analysis are represented together?

[@SaurabhSaurabh-uh6eq]

Wow what a nice explaination! 👌 👋

[@tanujsharma5492]

sir i think there is 'sepal length' instead of 'petal length' in xlabel. am i wrong or right??

[@d39-nischithhegde65]

can you also include link to dataset used

[@ratheesh_tabla]

May be I am wrong, should that be "sepal length" instead of "petal length" in xlabel? based on your plot variables or feature used for univariate analysis

[@pulkitarora6605]

ya its sepal length may be there is some mistake

[@sunitapatil381]

you are grate sir .i am really grateful to your vedios thank you thank you so much sir.

[@makanjudavid992]

Question: it is possible to use categorical features to make predictions for a numerical targer variable ??

[@birinaboro8391]

Hello Sir, could you please help me out with multivariate correlation through SPSS??

[@krishnakanthbandaru9308]

Hi I have a doubt these plots are ok for small datasets and interesting while learning but is these graphs helps when handling real time data or while working with real data science projects.

[@marioluoni3899]

In the uni-variate analysis, why do you put all data points on the same level? By putting them onto different levels, e.g. by setting np.zeros_like()+0, np.zeros_like()+1 and np.zeros_like()+2, it will be very clear that these 3 data sets overlap very heavily as opposed to what you say @9:00 (unless I have misunderstood what you said there). Otherwise great lectures, thanks a lot!

[@Moiz_tennis]

great suggestion!

[@rohithmn3378]

Thanks for the excellent tutorial..! But this works well for classification problems. How shall we perform the similar analysis for Regression problem..!?

[@adarshpatodi5300]

You need to have x label as sepal length in univariate analysis.

[@yugen3968]

Why not just plot histograms for every feature for univariate analyis?

[@pritamchowdhury3152]

sir can you provide some practice dataset

[@MageDigest]

so from multivariate if we some graphs with overlapping variables like sepal length and sepal width, we can ignore one of them while doing any further analysis ? Please help here

[@souravsaha7751]

sir a virginica or versicolor kaya ha

[@siddharthjain4361]

what if we have dimension in order of 100s...??

[@niraliborad7475]

After executing the same code for univariate analysis my output is not color distributed as shown in video. can anyone help

[@Pankaj.6658]

sir, what is web address you are using and is it free or paid please give some details about that also.

[@venkateshbb2926]

Thanks for tutorial.Please arrange tutorials in proper sequential of related tutorials.

[@alokranjanthakur5746]

Sir can you make. Video on EDA only using python. Means what are necessary steps in EDA

[@ashukol]

Line 17th code needs modification as follows: sns.FacetGrid(df,hue="species").map(plt.scatter,"petal_length","sepal_width").add_legend(); plt.show()

[@ramthiagu2330]

if we have more than 10 or 20 features, how can we do multivariate analysis. will it be visible clearly in pairplot

[@ashita1130]

Pretty badass :) Thanks!

[@gautamagarwal3394]

@Quincy Sebastian please provide me an account :/

[@erumalibhatti1218]

Hi krosh what will be the codes for R for same analysis??

[@mitrabhanuroutkali]

Use DataExplorer package in r

[@rahuldas6777]

why put semicolons after your lines of code?

[@hepengye4239]

Are those 4 plots along with the diagonal density plots?

[@nijalparmar5951]

Sir can u plz make one video with use of spss and univariate, bivariates and multivariate analysis

[@aination7302]

Just use the graph node and plot your histograms and scatter plots for all the variables you require.

[@toppoashish7]

How to do eda when we have many features, say 20+ and all are non correlated.

[@The_Hive_Mind8878]

Really helpful. Thanks

[@mlwithstats1703]

Sir how we can the data ???

[@kalyanipadaraju5715]

Thank you so much sir . Great explanation

[@simanchalpatnaik2566]

Hi Krish, Why you are keeping the Y-axis as 0. In the previous lecture also it's not explained. In graph you just kept it as 0. Please reply.

[@HimanshuYadav-re7cp]

hey , he's just trying to visualize the dependency of output feature on that particular feature i.e. "petal_width" .so there is no need for y axis if u want u can put x =0 , and plot it on y axis and we endup with a vertical stack :)

[@hyhyb]

How orange , green colours came into picture, coz we didn't mention any color parameters like palette, colour?

[@urvishmahajan]

Colors are automatically assigned if you don't mention them in the parameters

[@Uma7473]

Thank you

[@kamran_desu]

Interesting method to plot univariate, I generally create scatterplots to make similar deductions in terms of what kind of classifier will make sense. Here's some sample code: import matplotlib.pyplot as plt from sklearn import datasets iris = datasets.load_iris() X = iris.data y = iris.target F = iris.feature_names fig, ax = plt.subplots(1, len(F), figsize=(15,2)) for i,f in enumerate(F): ax[i].scatter(X[:,i],y, c=y) ax[i].set(xlabel=f) ax[i].get_yaxis().set_visible(False)

[@SATISHKUMAR-bj2kl]

sir evertime whenever i am running code then also error messege comes with "name df is not defined" can you please help me

[@Ajayraj-dx6fb]

try to load the data once again

[@ankita684]

Hi Krish...when I am executing this code 'plt.plot(df_setosa['Sepal.Length'],np.zeros(df_setosa['Sepal.Length']),'o') it is returning a value error that reads as 'sequence too large; cannot be greater than 32'. How did you execute without getting this error. How to resolve?

[@toyazpandey8669]

U haven't written like after np. Zeros_like

[@tejassutar4198]

Hello sir how to know categories of given data in python? For eg. Here We want to know species categories?

[@viveksingh881]

if u r talking about getting the unique values in species then following code will help:- for unique numbers of species - iris_data['Species'].nunique() for names of those unique species - iris_data['Species'].unique()

[@Gamer_hai_hum]

Hello sir huge fan following ur ML playlist and I'm getting error in stringIO sir I also saw youtube video but I'm not able to slove the error it say No module something can u please guide me I'm stuck in your 7th playlist pls let me know sir it will be helpful

[@zainabzafari2336]

Thank you very much for your great videos. However, this is the first video of your playlist that I could not understand. The dataset was not clear and you did not explained much.

[@manishshukla125]

Thanks Sir!

[@ashishkumarsingh2910]

how you are calling a url or internet file to read in pandas..... its like impossible for me to do... plztellme how?

[@adarshtiwari6742]

Switch on internet would make it work

[@gokulansundaraj8149]

Wow...

[@adarshtiwari6742]

Sir how much is necessary to know to get job in data science (is there any bounds)

[@ClickyKitsune]

My personal recommendation would be to start with python , basics of SQL and couple of ML algorithms i.e regression. It all comes to how many projects you have actually created..good luck 👍

[@anandacharya9919]

When I import iris in python , no commands is working I am getting error as "AttributeError: info" , and also "AttributeError: describe" , please solve this, why I am getting this error

[@dharmatejaadepu8597]

In univariate analysis, you have taken sepal length and labelled it as petal length , can you explain me about that.

[@vinodmorya5413]

its by mistake

[@vatsalshingala3225]

❤❤❤❤❤❤❤❤❤❤

[@vishalrai2859]

coaching institutes just looted me taught nothing like this

[@re-cordinglyf7176]

I can't believe you pronounced it as hueee....😂😂

[@shaminmohammed672]

Thank you