Advanced Python Data Visualizations Strip plot, Swarmplot | Python Courses in Tamil | Skillfloor - video Dailymotion

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00:00Hello everyone, in the video we are going to talk about advanced Python data visualization.

00:07So we are going to talk about stripplot and swarmplot.

00:13So first we are going to talk about stripplot.

00:17So we are going to create a scatterplot in different categories.

00:22So we are going to create sns.stripplot.

00:26So direct away the method.

00:28So we are going to provide a species to the access.

00:31So we have setosa and versicolor.

00:33So we are going to talk about petal width and show the plot.

00:40So then setosa and petal width variations.

00:44Then versicolor.

00:46That is specific range.

00:49And then we are going to analyze.

00:51So we can compare the data to setosa and petal width.

00:54So we are going to compare the data to the other.

00:57So if we are going to compare the data to the other.

00:59So it will be a species called setosa and 0.1.

01:03So we can compare that to the other.

01:05And we will compare the data to the other.

01:06So we will look at the setosa and versicolor.

01:07So, this is the vertical and virginity calculator.

01:10So, if we look at the set of vertical,

01:13we have a scatterness.

01:15This is the company.

01:17This is the scatterness.

01:19If we look at the vertical,

01:21we have the highest value.

01:23Okay?

01:24So, if we look at this,

01:26we have the highest value, 2.5.

01:28So, compared with all three class,

01:30we have the highest value for virginity.

01:33So, this is the length,

01:35the length, the length, the length, the length.

01:37In this case,

01:38we will analyze the scatter plot.

01:41So, here is the categorical data

01:43and

01:45one of the numerical data.

01:47We will analyze the scatter plot.

01:49So, if we look at the scatter plot,

01:51if we look at the scatter plot,

01:53we can see an advanced version of scatter plot.

01:55We can see that as well.

01:57Next, we can see the same plot.

02:00But, in this advanced version,

02:02we can see the swamp plot.

02:04So, in the swamp plot,

02:06we can see the swamp shapes.

02:08Okay?

02:09So, in the swamp light,

02:10we can see the base,

02:11we can see the inference.

02:12So, now, we use the SNS towards swamp plot.

02:15So, here is the data equal to df.

02:18Then, x-axis,

02:19we provide the species.

02:21Then, we provide the three different species,

02:23y equal to separate.

02:24If we provide the hue equal to species,

02:26we provide each and every species,

02:28we provide the scatter plot.

02:32Same as that of strip plot.

02:34Okay?

02:35So, in the swamp plot,

02:36we have advanced versions.

02:38So, that we try to analyze it.

02:40By the way,

02:41we select set those in a place.

02:43Basically,

02:44we select a simple step.

02:46Okay?

02:47So, we select the data,

02:48we find a cluster between...

02:49...

02:50What's up with each and every time.

02:51The cluster is going to be...

02:52...like...

02:53like 4.3 then with 5.6.

02:59So, this is basically clustered around 5 cm.

03:04Then, the versicle is clustered around 6 cm.

03:11Then, if we compare the sepal lengths, it is clustered around 6 and 7 cm.

03:19So, if we compare the data, we have outliers because it is in normal distribution.

03:24So, maybe we have outliers.

03:27Then, if we compare the scateness, we have to compare the scateness.

03:32So, the data is closely related.

03:36Then, if we compare the scateness, it is versicle and virginical.

03:40It is a scateness.

03:44So, here is the highest scateness.

03:46So, the first scateness is the highest scateness.

03:51So, the first scateness is the highest scateness.

03:56Then, the range of a particular flower based on a particular numeric database.

04:00Then, we analyze it.

04:02So, the strip and swan plot is the advanced version of scatterplot.

04:06With all theseaghcal哪ver, we should bekids are included.

04:13This is the advanced Python data visualization,

04:16and we also measure when swan plotcolo and general dinner.

04:19So, in the next video, we will publish it.

04:21Then, if we refresh the screen for the webinar.

04:24You

Advanced Python Data Visualizations Strip plot, Swarmplot | Python Courses in Tamil | Skillfloor

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