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WeRateDog---分析推特数据

發布時間：2023/12/3 综合教程 28 生活家

生活随笔收集整理的這篇文章主要介紹了 WeRateDog---分析推特数据小編覺得挺不錯的,現在分享給大家,幫大家做個參考.

數據收集

導入需要的庫

In?[60]:

import pandas as pd

import numpy as np

import matplotlib.pyplot as plt

import requests

import json

import os

打開并評估twitter-archive-enhanced

In?[61]:twitter_archive_enhanced = pd.read_csv('twitter-archive-enhanced.csv')

In?[62]:twitter_archive_enhanced.info()

<class 'pandas.core.frame.DataFrame'>
RangeIndex: 2356 entries, 0 to 2355
Data columns (total 17 columns):#   Column                      Non-Null Count  Dtype  
---  ------                      --------------  -----  0   tweet_id                    2356 non-null   int64  1   in_reply_to_status_id       78 non-null     float642   in_reply_to_user_id         78 non-null     float643   timestamp                   2356 non-null   object 4   source                      2356 non-null   object 5   text                        2356 non-null   object 6   retweeted_status_id         181 non-null    float647   retweeted_status_user_id    181 non-null    float648   retweeted_status_timestamp  181 non-null    object 9   expanded_urls               2297 non-null   object 10  rating_numerator            2356 non-null   int64  11  rating_denominator          2356 non-null   int64  12  name                        2356 non-null   object 13  doggo                       2356 non-null   object 14  floofer                     2356 non-null   object 15  pupper                      2356 non-null   object 16  puppo                       2356 non-null   object 
dtypes: float64(4), int64(3), object(10)
memory usage: 313.0+ KB

通過上面的info，可以看出tweet_id, timestamp 類型錯誤，in_reply_to_status_id，in_reply_to_user_id 僅有78列，expanded_urls 含有空值，是沒有照片的數據，根據項目要求，這些數據后面需要刪除

In?[63]:twitter_archive_enhanced.retweeted_status_id.notnull().value_counts()

Out[63]:

False    2175
True      181
Name: retweeted_status_id, dtype: int64

retweeted_status_id 不為nan的為轉發數據,181條轉發數據，根據項目要求，這些數據后面需要刪除

In?[64]:twitter_archive_enhanced.name.value_counts()

Out[64]:

None        745
a            55
Charlie      12
Oliver       11
Lucy         11... 
Karll         1
Tiger         1
old           1
Meatball      1
Stormy        1
Name: name, Length: 957, dtype: int64

In?[65]:twitter_archive_enhanced.text[twitter_archive_enhanced.name=='a'].iloc[1]

Out[65]:

'Here is a perfect example of someone who has their priorities in order. 13/10 for both owner and Forrest https://t.co/LRyMrU7Wfq'

*55個名字為a的狗狗，調用一個名字為a的看了下，顯然a不是狗狗的名字，是為質量問題
*text里面含有鏈接

In?[66]:twitter_archive_enhanced.rating_denominator.value_counts()

Out[66]:

10     2333
11        3
50        3
80        2
20        2
2         1
16        1
40        1
70        1
15        1
90        1
110       1
120       1
130       1
150       1
170       1
7         1
0         1
Name: rating_denominator, dtype: int64

可見，rating_denominator不全為10

In?[67]:twitter_archive_enhanced.source.iloc[0]

Out[67]:

'<a href="http://twitter.com/download/iphone" rel="nofollow">Twitter for iPhone</a>'

source中含有html文本

另外，這個數據集還有個整潔度問題，狗狗地位是一個變量，doggo,floofer, pupper, puppo應為一列

收集并評估image-predictions

In?[68]:folder_name ='pred-image'

if not os.path.exists(folder_name):
os.makedirs(folder_name) url='https://raw.githubusercontent.com/udacity/new-dand-advanced-china/master/%E6%95%B0%E6%8D%AE%E6%B8%85%E6%B4%97/WeRateDogs%E9%A1%B9%E7%9B%AE/image-predictions.tsv'

response = requests.get(url)

response

Out[68]:

<Response [200]>

In?[69]:

with open(os.path.join(folder_name, url.split('/')[-1]), mode='wb') as file:

file.write(response.content)

In?[70]:os.listdir(folder_name)

Out[70]:

['image-predictions.tsv']

In?[71]:image_predictions = pd.read_csv('image-predictions.tsv',sep='\t')

In?[72]:image_predictions.head()

Out[72]:

?	tweet_id	jpg_url	img_num	p1	p1_conf	p1_dog	p2	p2_conf	p2_dog	p3	p3_conf	p3_dog
0	666020888022790149	https://pbs.twimg.com/media/CT4udn0WwAA0aMy.jpg	1	Welsh_springer_spaniel	0.465074	True	collie	0.156665	True	Shetland_sheepdog	0.061428	True
1	666029285002620928	https://pbs.twimg.com/media/CT42GRgUYAA5iDo.jpg	1	redbone	0.506826	True	miniature_pinscher	0.074192	True	Rhodesian_ridgeback	0.072010	True
2	666033412701032449	https://pbs.twimg.com/media/CT4521TWwAEvMyu.jpg	1	German_shepherd	0.596461	True	malinois	0.138584	True	bloodhound	0.116197	True
3	666044226329800704	https://pbs.twimg.com/media/CT5Dr8HUEAA-lEu.jpg	1	Rhodesian_ridgeback	0.408143	True	redbone	0.360687	True	miniature_pinscher	0.222752	True
4	666049248165822465	https://pbs.twimg.com/media/CT5IQmsXIAAKY4A.jpg	1	miniature_pinscher	0.560311	True	Rottweiler	0.243682	True	Doberman	0.154629	True

In?[73]:image_predictions.jpg_url.duplicated().value_counts()

Out[73]:

False    2009
True       66
Name: jpg_url, dtype: int64

有66條重復的圖片鏈接

tweet_id類型錯誤

打開并評估tweet_json

In?[74]:tweet_json = pd.DataFrame()

In?[75]:

file = open('tweet_json.txt','r')

for line in file.readlines():

dic = json.loads(line)

tweet_id = dic['id']

retweet_count = dic['retweet_count']

favorite_count = dic['favorite_count']

tem_df = pd.DataFrame({'tweet_id':tweet_id,

'retweet_count':retweet_count,

'favorite_count':favorite_count},index=[0])

tweet_json = pd.concat([tweet_json,tem_df])

In?[76]:

tweet_json

Out[76]:

?	tweet_id	retweet_count	favorite_count
0	892420643555336193	8842	39492
0	892177421306343426	6480	33786
0	891815181378084864	4301	25445
0	891689557279858688	8925	42863
0	891327558926688256	9721	41016
...	...	...	...
0	666049248165822465	41	111
0	666044226329800704	147	309
0	666033412701032449	47	128
0	666029285002620928	48	132
0	666020888022790149	530	2528

2352 rows × 3 columns

tweet_id 類型錯誤

綜上，

#*數據集里的質量問題：

tweet_id,timestamp類型錯誤
jpg_url有66條重復的鏈接
source中含有html文本
rating_denominator不全為10，還有分母為0的情況出現
55個名字為a的狗狗，調用一個名字為a的看了下，顯然a不是狗狗的名字，是為質量問題
text里面含有鏈接
retweeted_status_id 不為nan的為轉發數據,181條轉發數據，根據項目要求，這些數據后面需要刪除
in_reply_to_status_id，in_reply_to_user_id 僅有78列
沒有照片的數據，根據項目要求，這些數據后面需要刪除

#*整潔度問題：

狗狗地位是一個變量，doggo,floofer, pupper, puppo應為一列
三個數據集有一個觀察對象tweet_id，可以合為一個數據集

數據清洗

In?[77]:

twitter_archive_enhanced_clean = twitter_archive_enhanced.copy()

image_predictions_clean = image_predictions.copy()

tweet_json_clean = tweet_json.copy()

issue:?tweet_id類型錯誤

define:?修改tweet_id為str

code：

In?[78]:twitter_archive_enhanced_clean['tweet_id'] = twitter_archive_enhanced_clean['tweet_id'].astype('str')

In?[79]:image_predictions_clean['tweet_id'] = image_predictions_clean['tweet_id'].astype('str')

In?[80]:tweet_json_clean['tweet_id'] = tweet_json_clean['tweet_id'].astype('str')

Test

In?[81]:twitter_archive_enhanced_clean['tweet_id']

Out[81]:

0       892420643555336193
1       892177421306343426
2       891815181378084864
3       891689557279858688
4       891327558926688256...        
2351    666049248165822465
2352    666044226329800704
2353    666033412701032449
2354    666029285002620928
2355    666020888022790149
Name: tweet_id, Length: 2356, dtype: object

In?[82]:image_predictions_clean['tweet_id']

Out[82]:

0       666020888022790149
1       666029285002620928
2       666033412701032449
3       666044226329800704
4       666049248165822465...        
2070    891327558926688256
2071    891689557279858688
2072    891815181378084864
2073    892177421306343426
2074    892420643555336193
Name: tweet_id, Length: 2075, dtype: object

In?[83]:tweet_json_clean['tweet_id']

Out[83]:

0    892420643555336193
0    892177421306343426
0    891815181378084864
0    891689557279858688
0    891327558926688256...        
0    666049248165822465
0    666044226329800704
0    666033412701032449
0    666029285002620928
0    666020888022790149
Name: tweet_id, Length: 2352, dtype: object

issue:?timestamp類型錯誤

define:?修改為datetime

code:

In?[84]:twitter_archive_enhanced_clean['timestamp'] = pd.to_datetime(twitter_archive_enhanced_clean['timestamp'])

Test

In?[85]:twitter_archive_enhanced_clean['timestamp']

Out[85]:

0      2017-08-01 16:23:56+00:00
1      2017-08-01 00:17:27+00:00
2      2017-07-31 00:18:03+00:00
3      2017-07-30 15:58:51+00:00
4      2017-07-29 16:00:24+00:00...           
2351   2015-11-16 00:24:50+00:00
2352   2015-11-16 00:04:52+00:00
2353   2015-11-15 23:21:54+00:00
2354   2015-11-15 23:05:30+00:00
2355   2015-11-15 22:32:08+00:00
Name: timestamp, Length: 2356, dtype: datetime64[ns, UTC]

issue:?55個名字為a的狗狗，調用一個名字為a的看了下，顯然a不是狗狗的名字

define:?將a用None代替

code:

In?[86]:twitter_archive_enhanced_clean['name']= twitter_archive_enhanced_clean['name'].replace('a',np.nan)

Test

In?[88]:twitter_archive_enhanced_clean['name'].value_counts()

Out[88]:

None        745
Charlie      12
Lucy         11
Oliver       11
Cooper       11... 
Karll         1
Tiger         1
old           1
Meatball      1
Stormy        1
Name: name, Length: 956, dtype: int64

Issue:

分母不全為10

define:?Create new column rating=rating_numerator/rating_denominator. Drop rating_numerator and rating_denominator.

Code:

In?[90]:twitter_archive_enhanced_clean=twitter_archive_enhanced_clean[twitter_archive_enhanced_clean.rating_denominator!= 0]

In?[91]:twitter_archive_enhanced_clean['rating']=twitter_archive_enhanced_clean.rating_numerator/twitter_archive_enhanced_clean.rating_denominator

In?[92]:twitter_archive_enhanced_clean=twitter_archive_enhanced_clean.drop(['rating_numerator','rating_denominator'],axis=1)

Test:

In?[93]:twitter_archive_enhanced_clean

Out[93]:

?	tweet_id	in_reply_to_status_id	in_reply_to_user_id	timestamp	source	text	retweeted_status_id	retweeted_status_user_id	retweeted_status_timestamp	expanded_urls	name	doggo	floofer	pupper	puppo	rating
0	892420643555336193	NaN	NaN	2017-08-01 16:23:56+00:00	<a href="http://twitter.com/download/iphone" r...	This is Phineas. He's a mystical boy. Only eve...	NaN	NaN	NaN	https://twitter.com/dog_rates/status/892420643...	Phineas	None	None	None	None	1.3
1	892177421306343426	NaN	NaN	2017-08-01 00:17:27+00:00	<a href="http://twitter.com/download/iphone" r...	This is Tilly. She's just checking pup on you....	NaN	NaN	NaN	https://twitter.com/dog_rates/status/892177421...	Tilly	None	None	None	None	1.3
2	891815181378084864	NaN	NaN	2017-07-31 00:18:03+00:00	<a href="http://twitter.com/download/iphone" r...	This is Archie. He is a rare Norwegian Pouncin...	NaN	NaN	NaN	https://twitter.com/dog_rates/status/891815181...	Archie	None	None	None	None	1.2
3	891689557279858688	NaN	NaN	2017-07-30 15:58:51+00:00	<a href="http://twitter.com/download/iphone" r...	This is Darla. She commenced a snooze mid meal...	NaN	NaN	NaN	https://twitter.com/dog_rates/status/891689557...	Darla	None	None	None	None	1.3
4	891327558926688256	NaN	NaN	2017-07-29 16:00:24+00:00	<a href="http://twitter.com/download/iphone" r...	This is Franklin. He would like you to stop ca...	NaN	NaN	NaN	https://twitter.com/dog_rates/status/891327558...	Franklin	None	None	None	None	1.2
...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...
2351	666049248165822465	NaN	NaN	2015-11-16 00:24:50+00:00	<a href="http://twitter.com/download/iphone" r...	Here we have a 1949 1st generation vulpix. Enj...	NaN	NaN	NaN	https://twitter.com/dog_rates/status/666049248...	None	None	None	None	None	0.5
2352	666044226329800704	NaN	NaN	2015-11-16 00:04:52+00:00	<a href="http://twitter.com/download/iphone" r...	This is a purebred Piers Morgan. Loves to Netf...	NaN	NaN	NaN	https://twitter.com/dog_rates/status/666044226...	NaN	None	None	None	None	0.6
2353	666033412701032449	NaN	NaN	2015-11-15 23:21:54+00:00	<a href="http://twitter.com/download/iphone" r...	Here is a very happy pup. Big fan of well-main...	NaN	NaN	NaN	https://twitter.com/dog_rates/status/666033412...	NaN	None	None	None	None	0.9
2354	666029285002620928	NaN	NaN	2015-11-15 23:05:30+00:00	<a href="http://twitter.com/download/iphone" r...	This is a western brown Mitsubishi terrier. Up...	NaN	NaN	NaN	https://twitter.com/dog_rates/status/666029285...	NaN	None	None	None	None	0.7
2355	666020888022790149	NaN	NaN	2015-11-15 22:32:08+00:00	<a href="http://twitter.com/download/iphone" r...	Here we have a Japanese Irish Setter. Lost eye...	NaN	NaN	NaN	https://twitter.com/dog_rates/status/666020888...	None	None	None	None	None	0.8

2355 rows × 16 columns

Issue:?duplicated of jpg_url

define:?delete the duplicated

code:

In?[94]:image_predictions_clean=image_predictions_clean[~image_predictions_clean.jpg_url.duplicated()]

Test:

In?[95]:sum(image_predictions_clean.jpg_url.duplicated())

Out[95]:

Issue:?in_reply_to_status_id in_reply_to_user_id only 23

Define:?drop them directly

Code:

In?[96]:twitter_archive_enhanced_clean.drop(twitter_archive_enhanced_clean[['in_reply_to_status_id','in_reply_to_user_id']],axis=1,inplace=True)

Test:

In?[97]:twitter_archive_enhanced_clean.info()

<class 'pandas.core.frame.DataFrame'>
Int64Index: 2355 entries, 0 to 2355
Data columns (total 14 columns):#   Column                      Non-Null Count  Dtype              
---  ------                      --------------  -----              0   tweet_id                    2355 non-null   object             1   timestamp                   2355 non-null   datetime64[ns, UTC]2   source                      2355 non-null   object             3   text                        2355 non-null   object             4   retweeted_status_id         181 non-null    float64            5   retweeted_status_user_id    181 non-null    float64            6   retweeted_status_timestamp  181 non-null    object             7   expanded_urls               2297 non-null   object             8   name                        2300 non-null   object             9   doggo                       2355 non-null   object             10  floofer                     2355 non-null   object             11  pupper                      2355 non-null   object             12  puppo                       2355 non-null   object             13  rating                      2355 non-null   float64            
dtypes: datetime64[ns, UTC](1), float64(3), object(10)
memory usage: 276.0+ KB

Issue:?html content in source

define:?delete html

Code:

In?[98]:twitter_archive_enhanced_clean.source= twitter_archive_enhanced_clean.source.str.extract('>(.+)<',expand = True)

Test

In?[99]:twitter_archive_enhanced_clean['source'].value_counts()

Out[99]:

Twitter for iPhone     2220
Vine - Make a Scene      91
Twitter Web Client       33
TweetDeck                11
Name: source, dtype: int64

Issue:?text column contain url

define:?delete url

code:

In?[100]:twitter_archive_enhanced_clean.text.replace(r'https.*','',regex=True, inplace=True)

test

In?[101]:twitter_archive_enhanced_clean.text

Out[101]:

0       This is Phineas. He's a mystical boy. Only eve...
1       This is Tilly. She's just checking pup on you....
2       This is Archie. He is a rare Norwegian Pouncin...
3       This is Darla. She commenced a snooze mid meal...
4       This is Franklin. He would like you to stop ca......                        
2351    Here we have a 1949 1st generation vulpix. Enj...
2352    This is a purebred Piers Morgan. Loves to Netf...
2353    Here is a very happy pup. Big fan of well-main...
2354    This is a western brown Mitsubishi terrier. Up...
2355    Here we have a Japanese Irish Setter. Lost eye...
Name: text, Length: 2355, dtype: object

issue:?含有轉發數據

define：?刪除轉發數據

code:

In?[102]:twitter_archive_enhanced_clean=twitter_archive_enhanced_clean[twitter_archive_enhanced_clean.retweeted_status_id.isnull()]

twitter_archive_enhanced_clean=twitter_archive_enhanced_clean.drop(['retweeted_status_id'],axis=1)

Test

In?[103]:twitter_archive_enhanced_clean.info()

<class 'pandas.core.frame.DataFrame'>
Int64Index: 2174 entries, 0 to 2355
Data columns (total 13 columns):#   Column                      Non-Null Count  Dtype              
---  ------                      --------------  -----              0   tweet_id                    2174 non-null   object             1   timestamp                   2174 non-null   datetime64[ns, UTC]2   source                      2174 non-null   object             3   text                        2174 non-null   object             4   retweeted_status_user_id    0 non-null      float64            5   retweeted_status_timestamp  0 non-null      object             6   expanded_urls               2117 non-null   object             7   name                        2119 non-null   object             8   doggo                       2174 non-null   object             9   floofer                     2174 non-null   object             10  pupper                      2174 non-null   object             11  puppo                       2174 non-null   object             12  rating                      2174 non-null   float64            
dtypes: datetime64[ns, UTC](1), float64(2), object(10)
memory usage: 237.8+ KB

issue:?狗狗地位是一個變量，應該為一列

define?將其放在一列

code

In?[104]:

twitter_archive_enhanced_clean['stage']= twitter_archive_enhanced_clean.text.str.findall('(doggo|pupper|puppo|floofer)')twitter_archive_enhanced_clean['stage'] = twitter_archive_enhanced_clean['stage'].apply(lambda x: ','.join(set(x)))

In?[105]:

twitter_archive_enhanced_clean['stage']=twitter_archive_enhanced_clean['stage'].replace('',np.nan)

In?[106]:

twitter_archive_enhanced_clean.drop(twitter_archive_enhanced_clean[['doggo','puppo','pupper','floofer']],axis=1,inplace=True)

Test

In?[107]:

twitter_archive_enhanced_clean.stage.value_counts()

Out[107]:

pupper          242
doggo            78
puppo            30
pupper,doggo      8
floofer           4
puppo,doggo       2
Name: stage, dtype: int64

ISSUE:?三個數據集共有一個觀察對象，可以合并為一個數據集. 無照片的數據也可以刪除。

define:?將3個數據集合并在一起，并且刪除無照片的數據

code

In?[108]:

df1_clean = twitter_archive_enhanced_clean.merge(image_predictions_clean,how='inner',on='tweet_id')

In?[109]:

df_clean = df1_clean.merge(tweet_json_clean,how='left',on='tweet_id')

test

In?[110]:

df_clean

Out[110]:

?	tweet_id	timestamp	source	text	retweeted_status_user_id	retweeted_status_timestamp	expanded_urls	name	rating	stage	...	p1_conf	p1_dog	p2	p2_conf	p2_dog	p3	p3_conf	p3_dog	retweet_count	favorite_count
0	892420643555336193	2017-08-01 16:23:56+00:00	Twitter for iPhone	This is Phineas. He's a mystical boy. Only eve...	NaN	NaN	https://twitter.com/dog_rates/status/892420643...	Phineas	1.3	NaN	...	0.097049	False	bagel	0.085851	False	banana	0.076110	False	8842	39492
1	892177421306343426	2017-08-01 00:17:27+00:00	Twitter for iPhone	This is Tilly. She's just checking pup on you....	NaN	NaN	https://twitter.com/dog_rates/status/892177421...	Tilly	1.3	NaN	...	0.323581	True	Pekinese	0.090647	True	papillon	0.068957	True	6480	33786
2	891815181378084864	2017-07-31 00:18:03+00:00	Twitter for iPhone	This is Archie. He is a rare Norwegian Pouncin...	NaN	NaN	https://twitter.com/dog_rates/status/891815181...	Archie	1.2	NaN	...	0.716012	True	malamute	0.078253	True	kelpie	0.031379	True	4301	25445
3	891689557279858688	2017-07-30 15:58:51+00:00	Twitter for iPhone	This is Darla. She commenced a snooze mid meal...	NaN	NaN	https://twitter.com/dog_rates/status/891689557...	Darla	1.3	NaN	...	0.170278	False	Labrador_retriever	0.168086	True	spatula	0.040836	False	8925	42863
4	891327558926688256	2017-07-29 16:00:24+00:00	Twitter for iPhone	This is Franklin. He would like you to stop ca...	NaN	NaN	https://twitter.com/dog_rates/status/891327558...	Franklin	1.2	NaN	...	0.555712	True	English_springer	0.225770	True	German_short-haired_pointer	0.175219	True	9721	41016
...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...
1989	666049248165822465	2015-11-16 00:24:50+00:00	Twitter for iPhone	Here we have a 1949 1st generation vulpix. Enj...	NaN	NaN	https://twitter.com/dog_rates/status/666049248...	None	0.5	NaN	...	0.560311	True	Rottweiler	0.243682	True	Doberman	0.154629	True	41	111
1990	666044226329800704	2015-11-16 00:04:52+00:00	Twitter for iPhone	This is a purebred Piers Morgan. Loves to Netf...	NaN	NaN	https://twitter.com/dog_rates/status/666044226...	NaN	0.6	NaN	...	0.408143	True	redbone	0.360687	True	miniature_pinscher	0.222752	True	147	309
1991	666033412701032449	2015-11-15 23:21:54+00:00	Twitter for iPhone	Here is a very happy pup. Big fan of well-main...	NaN	NaN	https://twitter.com/dog_rates/status/666033412...	NaN	0.9	NaN	...	0.596461	True	malinois	0.138584	True	bloodhound	0.116197	True	47	128
1992	666029285002620928	2015-11-15 23:05:30+00:00	Twitter for iPhone	This is a western brown Mitsubishi terrier. Up...	NaN	NaN	https://twitter.com/dog_rates/status/666029285...	NaN	0.7	NaN	...	0.506826	True	miniature_pinscher	0.074192	True	Rhodesian_ridgeback	0.072010	True	48	132
1993	666020888022790149	2015-11-15 22:32:08+00:00	Twitter for iPhone	Here we have a Japanese Irish Setter. Lost eye...	NaN	NaN	https://twitter.com/dog_rates/status/666020888...	None	0.8	NaN	...	0.465074	True	collie	0.156665	True	Shetland_sheepdog	0.061428	True	530	2528

1994 rows × 23 columns

保存數據集

In?[112]:

#save the file

save_file_name = 'twitter_archive_master.csv'

df_clean.to_csv(save_file_name, encoding='utf-8',index=False)

分析與可視化

In?[114]:

#data analysisdata = pd.read_csv('twitter_archive_master.csv', encoding='utf-8')

In?[115]:

data.head(10)

Out[115]:

?	tweet_id	timestamp	source	text	retweeted_status_user_id	retweeted_status_timestamp	expanded_urls	name	rating	stage	...	p1_conf	p1_dog	p2	p2_conf	p2_dog	p3	p3_conf	p3_dog	retweet_count	favorite_count
0	892420643555336193	2017-08-01 16:23:56+00:00	Twitter for iPhone	This is Phineas. He's a mystical boy. Only eve...	NaN	NaN	https://twitter.com/dog_rates/status/892420643...	Phineas	1.3	NaN	...	0.097049	False	bagel	0.085851	False	banana	0.076110	False	8842	39492
1	892177421306343426	2017-08-01 00:17:27+00:00	Twitter for iPhone	This is Tilly. She's just checking pup on you....	NaN	NaN	https://twitter.com/dog_rates/status/892177421...	Tilly	1.3	NaN	...	0.323581	True	Pekinese	0.090647	True	papillon	0.068957	True	6480	33786
2	891815181378084864	2017-07-31 00:18:03+00:00	Twitter for iPhone	This is Archie. He is a rare Norwegian Pouncin...	NaN	NaN	https://twitter.com/dog_rates/status/891815181...	Archie	1.2	NaN	...	0.716012	True	malamute	0.078253	True	kelpie	0.031379	True	4301	25445
3	891689557279858688	2017-07-30 15:58:51+00:00	Twitter for iPhone	This is Darla. She commenced a snooze mid meal...	NaN	NaN	https://twitter.com/dog_rates/status/891689557...	Darla	1.3	NaN	...	0.170278	False	Labrador_retriever	0.168086	True	spatula	0.040836	False	8925	42863
4	891327558926688256	2017-07-29 16:00:24+00:00	Twitter for iPhone	This is Franklin. He would like you to stop ca...	NaN	NaN	https://twitter.com/dog_rates/status/891327558...	Franklin	1.2	NaN	...	0.555712	True	English_springer	0.225770	True	German_short-haired_pointer	0.175219	True	9721	41016
5	891087950875897856	2017-07-29 00:08:17+00:00	Twitter for iPhone	Here we have a majestic great white breaching ...	NaN	NaN	https://twitter.com/dog_rates/status/891087950...	None	1.3	NaN	...	0.425595	True	Irish_terrier	0.116317	True	Indian_elephant	0.076902	False	3240	20548
6	890971913173991426	2017-07-28 16:27:12+00:00	Twitter for iPhone	Meet Jax. He enjoys ice cream so much he gets ...	NaN	NaN	https://gofundme.com/ydvmve-surgery-for-jax,ht...	Jax	1.3	NaN	...	0.341703	True	Border_collie	0.199287	True	ice_lolly	0.193548	False	2142	12053
7	890729181411237888	2017-07-28 00:22:40+00:00	Twitter for iPhone	When you watch your owner call another dog a g...	NaN	NaN	https://twitter.com/dog_rates/status/890729181...	None	1.3	NaN	...	0.566142	True	Eskimo_dog	0.178406	True	Pembroke	0.076507	True	19548	66596
8	890609185150312448	2017-07-27 16:25:51+00:00	Twitter for iPhone	This is Zoey. She doesn't want to be one of th...	NaN	NaN	https://twitter.com/dog_rates/status/890609185...	Zoey	1.3	NaN	...	0.487574	True	Irish_setter	0.193054	True	Chesapeake_Bay_retriever	0.118184	True	4403	28187
9	890240255349198849	2017-07-26 15:59:51+00:00	Twitter for iPhone	This is Cassie. She is a college pup. Studying...	NaN	NaN	https://twitter.com/dog_rates/status/890240255...	Cassie	1.4	doggo	...	0.511319	True	Cardigan	0.451038	True	Chihuahua	0.029248	True	7684	32467

10 rows × 23 columns

In?[116]:data.favorite_count.describe()

Out[116]:

count      1994.000000
mean       8923.133400
std       12400.238808
min          81.000000
25%        1972.250000
50%        4117.000000
75%       11275.500000
max      132318.000000
Name: favorite_count, dtype: float64

In?[117]:data.retweet_count.describe()

Out[117]:

count     1994.000000
mean      2770.021063
std       4715.961325
min         15.000000
25%        622.250000
50%       1348.500000
75%       3202.750000
max      79116.000000
Name: retweet_count, dtype: float64

In?[118]:

import matplotlib.pyplot as plt

%matplotlib inline

In?[119]:

plt.bar(x=['favorite_count','retweet_count'], height = [data.favorite_count.sum(),data.retweet_count.sum()])plt.title('Number of Favorite count VS Retweet Count')

Out[119]:

Text(0.5, 1.0, 'Number of Favorite count VS Retweet Count')

*?So the first conclusion is : favorate count more than retweet count

In?[120]:data[data.p1_conf > 0.5].p1.value_counts()

Out[120]:

golden_retriever       116
Pembroke                70
Labrador_retriever      65
Chihuahua               47
pug                     43... 
scorpion                 1
Appenzeller              1
flamingo                 1
axolotl                  1
Irish_water_spaniel      1
Name: p1, Length: 245, dtype: int64

the second conclusion: the most dog: golden_retriever

In?[121]:data['rating'].value_counts()

Out[121]:

1.200000      454
1.000000      421
1.100000      402
1.300000      261
0.900000      151
0.800000       95
0.700000       51
1.400000       35
0.500000       34
0.600000       32
0.300000       19
0.400000       15
0.200000       10
0.100000        4
0.000000        2
177.600000      1
2.600000        1
3.428571        1
0.636364        1
0.818182        1
42.000000       1
7.500000        1
2.700000        1
Name: rating, dtype: int64

#the third conclusion: most numerator are more than 10

總結

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