import pandas as pd
import seaborn as sns
from matplotlib import pyplot as plt

df = pd.read_csv("AB_NYC_2019.csv")

df.head(2)

	id	name	host_id	host_name	neighbourhood_group	neighbourhood	latitude	longitude	room_type	price	minimum_nights	number_of_reviews	last_review	reviews_per_month	calculated_host_listings_count	availability_365
0	2539	Clean & quiet apt home by the park	2787	John	Brooklyn	Kensington	40.64749	-73.97237	Private room	149	1	9	19-10-2018	0.21	6	365
1	2595	Skylit Midtown Castle	2845	Jennifer	Manhattan	Midtown	40.75362	-73.98377	Entire home/apt	225	1	45	21-05-2019	0.38	2	355

Histogram

sns.histplot(df["neighbourhood"].head(100))

<Axes: xlabel='neighbourhood', ylabel='Count'>

sns.histplot(df[df["price"]<1000] , x= "price")

<Axes: xlabel='price', ylabel='Count'>

sns.histplot(df[df["number_of_reviews"]<100] ,x = "number_of_reviews")

<Axes: xlabel='number_of_reviews', ylabel='Count'>

Distplot

sns.distplot(df["availability_365"])

C:\Users\Satyam\AppData\Local\Temp\ipykernel_23924\1603039620.py:1: UserWarning: 

`distplot` is a deprecated function and will be removed in seaborn v0.14.0.

Please adapt your code to use either `displot` (a figure-level function with
similar flexibility) or `histplot` (an axes-level function for histograms).

For a guide to updating your code to use the new functions, please see
https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751

  sns.distplot(df["availability_365"])

<Axes: xlabel='availability_365', ylabel='Density'>

df["price"].value_counts(bins = 20)

(-10.001, 500.0]     47862
(500.0, 1000.0]        805
(1000.0, 1500.0]       100
(1500.0, 2000.0]        53
(2500.0, 3000.0]        21
(2000.0, 2500.0]        20
(3500.0, 4000.0]        11
(4500.0, 5000.0]         6
(9500.0, 10000.0]        6
(4000.0, 4500.0]         6
(6000.0, 6500.0]         4
(3000.0, 3500.0]         2
(5500.0, 6000.0]         2
(7000.0, 7500.0]         2
(7500.0, 8000.0]         2
(5000.0, 5500.0]         2
(6500.0, 7000.0]         1
(8000.0, 8500.0]         1
(8500.0, 9000.0]         0
(9000.0, 9500.0]         0
Name: count, dtype: int64

# sns.boxplot(df[df["price"]<500]["price"])
sns.boxplot(df[df["price"]<500]["price"])

<Axes: ylabel='price'>

sns.boxplot(df[df["reviews_per_month"]<10], y="reviews_per_month")

<Axes: ylabel='reviews_per_month'>

df2 = sns.load_dataset("titanic")

sns.histplot(data=df2 , x="age")

<Axes: xlabel='age', ylabel='Count'>

df2[df2["fare"]==0]

	survived	pclass	sex	age	sibsp	parch	fare	embarked	class	who	adult_male	deck	embark_town	alive	alone
179	0	3	male	36.0	0	0	0.0	S	Third	man	True	NaN	Southampton	no	True
263	0	1	male	40.0	0	0	0.0	S	First	man	True	B	Southampton	no	True
271	1	3	male	25.0	0	0	0.0	S	Third	man	True	NaN	Southampton	yes	True
277	0	2	male	NaN	0	0	0.0	S	Second	man	True	NaN	Southampton	no	True
302	0	3	male	19.0	0	0	0.0	S	Third	man	True	NaN	Southampton	no	True
413	0	2	male	NaN	0	0	0.0	S	Second	man	True	NaN	Southampton	no	True
466	0	2	male	NaN	0	0	0.0	S	Second	man	True	NaN	Southampton	no	True
481	0	2	male	NaN	0	0	0.0	S	Second	man	True	NaN	Southampton	no	True
597	0	3	male	49.0	0	0	0.0	S	Third	man	True	NaN	Southampton	no	True
633	0	1	male	NaN	0	0	0.0	S	First	man	True	NaN	Southampton	no	True
674	0	2	male	NaN	0	0	0.0	S	Second	man	True	NaN	Southampton	no	True
732	0	2	male	NaN	0	0	0.0	S	Second	man	True	NaN	Southampton	no	True
806	0	1	male	39.0	0	0	0.0	S	First	man	True	A	Southampton	no	True
815	0	1	male	NaN	0	0	0.0	S	First	man	True	B	Southampton	no	True
822	0	1	male	38.0	0	0	0.0	S	First	man	True	NaN	Southampton	no	True

sns.distplot(df2["age"])

C:\Users\Satyam\AppData\Local\Temp\ipykernel_23924\49255041.py:1: UserWarning: 

`distplot` is a deprecated function and will be removed in seaborn v0.14.0.

Please adapt your code to use either `displot` (a figure-level function with
similar flexibility) or `histplot` (an axes-level function for histograms).

For a guide to updating your code to use the new functions, please see
https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751

  sns.distplot(df2["age"])

<Axes: xlabel='age', ylabel='Density'>

sns.distplot(df2["fare"])

C:\Users\Satyam\AppData\Local\Temp\ipykernel_28088\3524834500.py:1: UserWarning: 

`distplot` is a deprecated function and will be removed in seaborn v0.14.0.

Please adapt your code to use either `displot` (a figure-level function with
similar flexibility) or `histplot` (an axes-level function for histograms).

For a guide to updating your code to use the new functions, please see
https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751

  sns.distplot(df2["fare"])

<Axes: xlabel='fare', ylabel='Density'>

sns.boxplot(df2["age"])

<Axes: ylabel='age'>

sns.violinplot(df2["sex"])

<Axes: ylabel='sex'>

df2

	survived	pclass	sex	age	sibsp	parch	fare	embarked	class	who	adult_male	deck	embark_town	alive	alone
0	0	3	male	22.0	1	0	7.2500	S	Third	man	True	NaN	Southampton	no	False
1	1	1	female	38.0	1	0	71.2833	C	First	woman	False	C	Cherbourg	yes	False
2	1	3	female	26.0	0	0	7.9250	S	Third	woman	False	NaN	Southampton	yes	True
3	1	1	female	35.0	1	0	53.1000	S	First	woman	False	C	Southampton	yes	False
4	0	3	male	35.0	0	0	8.0500	S	Third	man	True	NaN	Southampton	no	True
...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...
886	0	2	male	27.0	0	0	13.0000	S	Second	man	True	NaN	Southampton	no	True
887	1	1	female	19.0	0	0	30.0000	S	First	woman	False	B	Southampton	yes	True
888	0	3	female	NaN	1	2	23.4500	S	Third	woman	False	NaN	Southampton	no	False
889	1	1	male	26.0	0	0	30.0000	C	First	man	True	C	Cherbourg	yes	True
890	0	3	male	32.0	0	0	7.7500	Q	Third	man	True	NaN	Queenstown	no	True

891 rows × 15 columns