Session 25 - Plotting using Seaborn | DSMP 2022-23

preview_player
Показать описание
Session 25 - Plotting using Seaborn | DSMP 2022-23 | Data Science Mentorship Program (DSMP) 2022-23

-------------------------------------------------------------------------------------------------------------------------------------------------------
Notebook Links
--------------------------
-------------------------------------------------------------------------------------------------------------------------------------------------------
-----------------------
| Time stamp |
-----------------------
0:00 Start
2:50 Session Start
6:09 Why #seaborn ?
8:43 Seaborn Roadmap
9:07 Types of Functions -- Figure Level and Axis Level

13:11 Main Classification Plotting
13:34 Relational Plot - #scatterplot, #lineplot
14:19 Distribution Plot - #histogram, #kedplot, ruggplot
15:13 Categorical Plot - #barchart, #violinplot
16:19 Regression Plot
15:51 Matrix Plot -#heatmap , #Clusterplot
17:32 Multiplots - #joinplot

19:54 Doubts
23:24 Importing libraries and data loading

1. Relational Plots
25:04 scatterplot - axis level
27:15 scatter plot using relplot - figure level
28:38 Which one to use scatterplot or relplot?
30:15 Using different parameters in seaborn - hue, size, style

34:24 #lineplot
38:37 Lineplot using relplot
46:14 Facet plot
51:58 col wrap

54:43 Doubt

57:08 2. Distribution Plots
59:51 histplot
1:02:32 Ploting univariate histogram
1:03:31 histogram using Distplot - figure level function
1:04:11 Using different parameter - bins
1:05:13 Plotting histogram on categorical column
1:06:43 hue and element parameter
1:10:52 facet plot with distplot

1:11:51 #kdeplot - Kernal Density Plot
1:10:48 Rugplot
1:20:16 Bi-Variate histogram
1:22:50 Bi-Variate kdeplot

1:24:30 Doubts

3. Matrix Plot
1:26:13 Heatmap
1:31:52 Customization with heatmap - annotation, line width, colour map
1:35:10 Clustermap

1:39:52 Doubts
1:43:33 How to change size in figure level plot

#ploting #seaborn #visualization
Рекомендации по теме
Комментарии
Автор

The bi-variate kdeplots looks like the contour lines, that we had studied in school-level Geography classes. So, I guess, if I'm not wrong, these kind of plots could be used to estimate the heights of plateaues, hill and mountains!!

shashi_kamal_chakraborty
Автор

very nice session sir, taught in sufficient depth. Thanks for detailed explanation.

srishtibijwe
Автор

Sir really a great explanation by you.Thank you for your sessions

Sreelalitha
Автор

plz try to provide free course with actual benefitted knowledge.This kind of a act
is also count as a socialwork.😊😊😊😊😊😊

sanskarmishra
Автор

As seaborn have some more chart than plotly but the comment chart line scatter and line are more beautiful and interactive in ploty then why should we use seaborn?

tanmayshinde
Автор

Do we have pandas series as well? if yes please share the link. your way of teaching is outstanding. Thank you

izharhassan
Автор

hi, latest distplot doesn't have kind parameter as of now at ts 1:04:06

simranagichani
Автор

While plotting heatmap I am getting this error

TypeError: 'DataFrame' object is not callable

Anybody knows how to solve this?

aayushrimall
Автор

plotly graph objects ka notebook link nhi hai ?please give link to notebook

DivyaChandrika-xb
Автор

sir what is difference between free and paid batch

unity-tghe
Автор

sir aapko brave browser use krna chahiye usme captcha nhi aata h

Harsh
Автор

Sir tips is not defined while we executing in python

ishwarsalunke
Автор

Sir,
Is it Possible to plot Scatter Plot + Histogram + Correlation Values in a single plot (in python)?

oezqhij
Автор

Select * from movie where ( gross - budget ) = ( select MAX( gross - budget ) from movies .


When i run this query ....
I am facing this error -- tha data types varchar (max) and varchar (max) are incomplete in the subtract operator ...


Please tell me sir how to resolve this problem ....

cricketprediction