Overview

Dataset statistics

Number of variables12
Number of observations1518
Missing cells1033
Missing cells (%)5.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory146.9 KiB
Average record size in memory99.1 B

Variable types

Numeric3
Text7
Categorical2

Dataset

Description업소아이디,업소명,분류코드,분류코드명,업소 주소,업소 전화번호,찾아오시는 길,업소정보,자랑거리,추천수,기준년월,업소 사진
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-1173/S/1/datasetView.do

Alerts

기준년월 has constant value ""Constant
업소아이디 is highly overall correlated with 추천수High correlation
분류코드 is highly overall correlated with 분류코드명High correlation
추천수 is highly overall correlated with 업소아이디High correlation
분류코드명 is highly overall correlated with 분류코드High correlation
업소 전화번호 has 71 (4.7%) missing valuesMissing
찾아오시는 길 has 522 (34.4%) missing valuesMissing
업소정보 has 58 (3.8%) missing valuesMissing
자랑거리 has 382 (25.2%) missing valuesMissing
업소아이디 has unique valuesUnique
추천수 has 981 (64.6%) zerosZeros

Reproduction

Analysis started2024-05-11 00:21:49.132941
Analysis finished2024-05-11 00:22:02.346302
Duration13.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소아이디
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1518
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8889.7378
Minimum263
Maximum10075
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-05-11T00:22:02.652354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum263
5-th percentile6644.6
Q18601.75
median9293.5
Q39678.75
95-th percentile9998.15
Maximum10075
Range9812
Interquartile range (IQR)1077

Descriptive statistics

Standard deviation1413.9064
Coefficient of variation (CV)0.15904928
Kurtosis12.74339
Mean8889.7378
Median Absolute Deviation (MAD)464
Skewness-3.2269158
Sum13494622
Variance1999131.4
MonotonicityNot monotonic
2024-05-11T00:22:03.234709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6017 1
 
0.1%
9033 1
 
0.1%
9445 1
 
0.1%
9396 1
 
0.1%
9114 1
 
0.1%
9374 1
 
0.1%
9037 1
 
0.1%
9169 1
 
0.1%
9182 1
 
0.1%
9358 1
 
0.1%
Other values (1508) 1508
99.3%
ValueCountFrequency (%)
263 1
0.1%
272 1
0.1%
443 1
0.1%
736 1
0.1%
784 1
0.1%
879 1
0.1%
1113 1
0.1%
1145 1
0.1%
1163 1
0.1%
1264 1
0.1%
ValueCountFrequency (%)
10075 1
0.1%
10074 1
0.1%
10073 1
0.1%
10072 1
0.1%
10071 1
0.1%
10070 1
0.1%
10069 1
0.1%
10068 1
0.1%
10067 1
0.1%
10066 1
0.1%

업소명
Text

Distinct1436
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
2024-05-11T00:22:03.811670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length5.2450593
Min length2

Characters and Unicode

Total characters7962
Distinct characters617
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1370 ?
Unique (%)90.3%

Sample

1st row아폴로헤어크리닉
2nd row상록수미용실
3rd row열린미용실
4th row미림17분칼라
5th row덕성이발관
ValueCountFrequency (%)
미용실 8
 
0.5%
왕비집 5
 
0.3%
이발소 5
 
0.3%
홍두깨손칼국수 5
 
0.3%
헤어아이디 4
 
0.2%
영미용실 4
 
0.2%
세탁소 4
 
0.2%
밥상 4
 
0.2%
남원추어탕 3
 
0.2%
김밥 3
 
0.2%
Other values (1545) 1651
97.3%
2024-05-11T00:22:04.851485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 193
 
2.4%
180
 
2.3%
미 173
 
2.2%
식 168
 
2.1%
어 149
 
1.9%
리 139
 
1.7%
용 131
 
1.6%
수 131
 
1.6%
국 130
 
1.6%
당 124
 
1.6%
Other values (607) 6444
80.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7617
95.7%
Space Separator 180
 
2.3%
Decimal Number 49
 
0.6%
Uppercase Letter 32
 
0.4%
Lowercase Letter 32
 
0.4%
Close Punctuation 17
 
0.2%
Open Punctuation 17
 
0.2%
Other Punctuation 16
 
0.2%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 193
 
2.5%
미 173
 
2.3%
식 168
 
2.2%
어 149
 
2.0%
리 139
 
1.8%
용 131
 
1.7%
수 131
 
1.7%
국 130
 
1.7%
당 124
 
1.6%
헤 120
 
1.6%
Other values (555) 6159
80.9%
Lowercase Letter
ValueCountFrequency (%)
o 5
15.6%
i 4
12.5%
t 3
9.4%
s 3
9.4%
l 2
 
6.2%
a 2
 
6.2%
v 2
 
6.2%
r 2
 
6.2%
p 1
 
3.1%
y 1
 
3.1%
Other values (7) 7
21.9%
Uppercase Letter
ValueCountFrequency (%)
S 7
21.9%
B 3
9.4%
G 3
9.4%
M 2
 
6.2%
T 2
 
6.2%
C 2
 
6.2%
E 2
 
6.2%
R 2
 
6.2%
O 2
 
6.2%
K 2
 
6.2%
Other values (4) 5
15.6%
Decimal Number
ValueCountFrequency (%)
1 11
22.4%
0 7
14.3%
2 7
14.3%
5 5
10.2%
9 4
 
8.2%
4 4
 
8.2%
6 3
 
6.1%
3 3
 
6.1%
7 3
 
6.1%
8 2
 
4.1%
Other Punctuation
ValueCountFrequency (%)
. 4
25.0%
& 4
25.0%
' 2
12.5%
! 2
12.5%
, 2
12.5%
: 1
 
6.2%
# 1
 
6.2%
Space Separator
ValueCountFrequency (%)
180
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7617
95.7%
Common 281
 
3.5%
Latin 64
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 193
 
2.5%
미 173
 
2.3%
식 168
 
2.2%
어 149
 
2.0%
리 139
 
1.8%
용 131
 
1.7%
수 131
 
1.7%
국 130
 
1.7%
당 124
 
1.6%
헤 120
 
1.6%
Other values (555) 6159
80.9%
Latin
ValueCountFrequency (%)
S 7
 
10.9%
o 5
 
7.8%
i 4
 
6.2%
B 3
 
4.7%
t 3
 
4.7%
s 3
 
4.7%
G 3
 
4.7%
M 2
 
3.1%
l 2
 
3.1%
a 2
 
3.1%
Other values (21) 30
46.9%
Common
ValueCountFrequency (%)
180
64.1%
) 17
 
6.0%
( 17
 
6.0%
1 11
 
3.9%
0 7
 
2.5%
2 7
 
2.5%
5 5
 
1.8%
9 4
 
1.4%
. 4
 
1.4%
4 4
 
1.4%
Other values (11) 25
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7617
95.7%
ASCII 345
 
4.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 193
 
2.5%
미 173
 
2.3%
식 168
 
2.2%
어 149
 
2.0%
리 139
 
1.8%
용 131
 
1.7%
수 131
 
1.7%
국 130
 
1.7%
당 124
 
1.6%
헤 120
 
1.6%
Other values (555) 6159
80.9%
ASCII
ValueCountFrequency (%)
180
52.2%
) 17
 
4.9%
( 17
 
4.9%
1 11
 
3.2%
S 7
 
2.0%
0 7
 
2.0%
2 7
 
2.0%
o 5
 
1.4%
5 5
 
1.4%
9 4
 
1.2%
Other values (42) 85
24.6%

분류코드
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8386034
Minimum1
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-05-11T00:22:05.221155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q35
95-th percentile7
Maximum13
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.6225353
Coefficient of variation (CV)0.92388224
Kurtosis4.3699708
Mean2.8386034
Median Absolute Deviation (MAD)0
Skewness1.8780297
Sum4309
Variance6.8776914
MonotonicityNot monotonic
2024-05-11T00:22:05.685757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 825
54.3%
5 338
22.3%
4 108
 
7.1%
2 92
 
6.1%
7 58
 
3.8%
13 46
 
3.0%
3 46
 
3.0%
8 3
 
0.2%
6 2
 
0.1%
ValueCountFrequency (%)
1 825
54.3%
2 92
 
6.1%
3 46
 
3.0%
4 108
 
7.1%
5 338
22.3%
6 2
 
0.1%
7 58
 
3.8%
8 3
 
0.2%
13 46
 
3.0%
ValueCountFrequency (%)
13 46
 
3.0%
8 3
 
0.2%
7 58
 
3.8%
6 2
 
0.1%
5 338
22.3%
4 108
 
7.1%
3 46
 
3.0%
2 92
 
6.1%
1 825
54.3%

분류코드명
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
한식
825 
이 미용업
338 
기타외식업(다방,패스트푸드등)
108 
중식
92 
세탁업
 
58
Other values (4)
97 

Length

Max length16
Median length2
Mean length3.9920949
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row이 미용업
2nd row이 미용업
3rd row이 미용업
4th row기타서비스업종
5th row이 미용업

Common Values

ValueCountFrequency (%)
한식 825
54.3%
이 미용업 338
22.3%
기타외식업(다방,패스트푸드등) 108
 
7.1%
중식 92
 
6.1%
세탁업 58
 
3.8%
기타서비스업종 46
 
3.0%
경양식,일식 46
 
3.0%
숙박업(호텔,여관) 3
 
0.2%
목욕업 2
 
0.1%

Length

2024-05-11T00:22:06.096682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:22:06.480841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 825
44.5%
이 338
18.2%
미용업 338
18.2%
기타외식업(다방,패스트푸드등 108
 
5.8%
중식 92
 
5.0%
세탁업 58
 
3.1%
기타서비스업종 46
 
2.5%
경양식,일식 46
 
2.5%
숙박업(호텔,여관 3
 
0.2%
목욕업 2
 
0.1%

업소 주소
Text

Distinct1497
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
2024-05-11T00:22:07.248860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length45
Mean length24.982872
Min length9

Characters and Unicode

Total characters37924
Distinct characters341
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1479 ?
Unique (%)97.4%

Sample

1st row서울특별시 중랑구 사가정로50길 67 (면목동)
2nd row서울특별시 중랑구 동일로99길 22 (면목동)
3rd row서울특별시 관악구 난곡로40길 16 (신림동)
4th row서울특별시 관악구 호암로26길 1 (신림동)
5th row서울특별시 관악구 장군봉2길 11 (봉천동)
ValueCountFrequency (%)
서울특별시 1535
 
19.8%
서울 417
 
5.4%
강남구 136
 
1.8%
동작구 125
 
1.6%
관악구 114
 
1.5%
1층 109
 
1.4%
구로구 106
 
1.4%
광진구 83
 
1.1%
송파구 72
 
0.9%
서대문구 72
 
0.9%
Other values (2006) 5000
64.4%
2024-05-11T00:22:08.470201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6280
 
16.6%
서 2150
 
5.7%
울 1967
 
5.2%
구 1662
 
4.4%
로 1641
 
4.3%
시 1597
 
4.2%
1 1541
 
4.1%
특 1535
 
4.0%
별 1535
 
4.0%
동 1282
 
3.4%
Other values (331) 16734
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23318
61.5%
Space Separator 6280
 
16.6%
Decimal Number 6003
 
15.8%
Close Punctuation 895
 
2.4%
Open Punctuation 895
 
2.4%
Dash Punctuation 258
 
0.7%
Other Punctuation 248
 
0.7%
Uppercase Letter 26
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 2150
 
9.2%
울 1967
 
8.4%
구 1662
 
7.1%
로 1641
 
7.0%
시 1597
 
6.8%
특 1535
 
6.6%
별 1535
 
6.6%
동 1282
 
5.5%
길 993
 
4.3%
대 338
 
1.4%
Other values (305) 8618
37.0%
Decimal Number
ValueCountFrequency (%)
1 1541
25.7%
2 891
14.8%
3 625
10.4%
4 525
 
8.7%
5 490
 
8.2%
6 459
 
7.6%
0 409
 
6.8%
7 386
 
6.4%
8 351
 
5.8%
9 326
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
B 15
57.7%
A 3
 
11.5%
M 2
 
7.7%
S 1
 
3.8%
H 1
 
3.8%
C 1
 
3.8%
U 1
 
3.8%
T 1
 
3.8%
I 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 247
99.6%
. 1
 
0.4%
Space Separator
ValueCountFrequency (%)
6280
100.0%
Close Punctuation
ValueCountFrequency (%)
) 895
100.0%
Open Punctuation
ValueCountFrequency (%)
( 895
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 258
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23318
61.5%
Common 14580
38.4%
Latin 26
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 2150
 
9.2%
울 1967
 
8.4%
구 1662
 
7.1%
로 1641
 
7.0%
시 1597
 
6.8%
특 1535
 
6.6%
별 1535
 
6.6%
동 1282
 
5.5%
길 993
 
4.3%
대 338
 
1.4%
Other values (305) 8618
37.0%
Common
ValueCountFrequency (%)
6280
43.1%
1 1541
 
10.6%
) 895
 
6.1%
( 895
 
6.1%
2 891
 
6.1%
3 625
 
4.3%
4 525
 
3.6%
5 490
 
3.4%
6 459
 
3.1%
0 409
 
2.8%
Other values (7) 1570
 
10.8%
Latin
ValueCountFrequency (%)
B 15
57.7%
A 3
 
11.5%
M 2
 
7.7%
S 1
 
3.8%
H 1
 
3.8%
C 1
 
3.8%
U 1
 
3.8%
T 1
 
3.8%
I 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23318
61.5%
ASCII 14606
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6280
43.0%
1 1541
 
10.6%
) 895
 
6.1%
( 895
 
6.1%
2 891
 
6.1%
3 625
 
4.3%
4 525
 
3.6%
5 490
 
3.4%
6 459
 
3.1%
0 409
 
2.8%
Other values (16) 1596
 
10.9%
Hangul
ValueCountFrequency (%)
서 2150
 
9.2%
울 1967
 
8.4%
구 1662
 
7.1%
로 1641
 
7.0%
시 1597
 
6.8%
특 1535
 
6.6%
별 1535
 
6.6%
동 1282
 
5.5%
길 993
 
4.3%
대 338
 
1.4%
Other values (305) 8618
37.0%

업소 전화번호
Text

MISSING 

Distinct1371
Distinct (%)94.7%
Missing71
Missing (%)4.7%
Memory size12.0 KiB
2024-05-11T00:22:09.111176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length10.863856
Min length1

Characters and Unicode

Total characters15720
Distinct characters24
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1350 ?
Unique (%)93.3%

Sample

1st row495-7337
2nd row02-871-7070
3rd row02-882-5875
4th row02-3285-8002
5th row02-588-7399
ValueCountFrequency (%)
36
 
2.5%
없음 21
 
1.5%
02-443-3295 3
 
0.2%
02-452-0981 3
 
0.2%
0507-1400-1309 2
 
0.1%
02-352-6675 2
 
0.1%
070-7803-0001 2
 
0.1%
02-2614-3609 2
 
0.1%
02-435-1757 2
 
0.1%
02-313-1006 2
 
0.1%
Other values (1361) 1371
94.8%
2024-05-11T00:22:10.333837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2654
16.9%
2 2390
15.2%
0 2177
13.8%
5 1152
7.3%
3 1130
7.2%
8 1104
7.0%
7 1046
 
6.7%
4 986
 
6.3%
1 957
 
6.1%
9 954
 
6.1%
Other values (14) 1170
7.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12808
81.5%
Dash Punctuation 2654
 
16.9%
Space Separator 203
 
1.3%
Other Letter 48
 
0.3%
Close Punctuation 4
 
< 0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 2390
18.7%
0 2177
17.0%
5 1152
9.0%
3 1130
8.8%
8 1104
8.6%
7 1046
8.2%
4 986
7.7%
1 957
7.5%
9 954
 
7.4%
6 912
 
7.1%
Other Letter
ValueCountFrequency (%)
음 21
43.8%
없 21
43.8%
비 1
 
2.1%
공 1
 
2.1%
개 1
 
2.1%
김 1
 
2.1%
용 1
 
2.1%
산 1
 
2.1%
Space Separator
ValueCountFrequency (%)
201
99.0%
　 2
 
1.0%
Other Punctuation
ValueCountFrequency (%)
? 2
66.7%
. 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 2654
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15672
99.7%
Hangul 48
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2654
16.9%
2 2390
15.3%
0 2177
13.9%
5 1152
7.4%
3 1130
7.2%
8 1104
7.0%
7 1046
 
6.7%
4 986
 
6.3%
1 957
 
6.1%
9 954
 
6.1%
Other values (6) 1122
7.2%
Hangul
ValueCountFrequency (%)
음 21
43.8%
없 21
43.8%
비 1
 
2.1%
공 1
 
2.1%
개 1
 
2.1%
김 1
 
2.1%
용 1
 
2.1%
산 1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15670
99.7%
Hangul 48
 
0.3%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2654
16.9%
2 2390
15.3%
0 2177
13.9%
5 1152
7.4%
3 1130
7.2%
8 1104
7.0%
7 1046
 
6.7%
4 986
 
6.3%
1 957
 
6.1%
9 954
 
6.1%
Other values (5) 1120
7.1%
Hangul
ValueCountFrequency (%)
음 21
43.8%
없 21
43.8%
비 1
 
2.1%
공 1
 
2.1%
개 1
 
2.1%
김 1
 
2.1%
용 1
 
2.1%
산 1
 
2.1%
None
ValueCountFrequency (%)
　 2
100.0%

찾아오시는 길
Text

MISSING 

Distinct926
Distinct (%)93.0%
Missing522
Missing (%)34.4%
Memory size12.0 KiB
2024-05-11T00:22:11.055176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length190
Median length121
Mean length24.519076
Min length1

Characters and Unicode

Total characters24421
Distinct characters494
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique915 ?
Unique (%)91.9%

Sample

1st row면목골목시장 65호
2nd row면목2동 다울아파트에서 동일로로 가는 골목에 위치
3rd row미성동 노선버스 신일교회앞 하차
4th row서울대벤처타운역 2번 출구에서157m 미림여고 입구 국민은행 옆 위치
5th row봉천역 3번 출구에서 시장골목으로 100미터
ValueCountFrequency (%)
1번 131
 
2.8%
2번 125
 
2.6%
3번 91
 
1.9%
4번 90
 
1.9%
출구에서 68
 
1.4%
도보 58
 
1.2%
위치 55
 
1.2%
51
 
1.1%
출구 46
 
1.0%
5번 37
 
0.8%
Other values (2040) 3992
84.1%
2024-05-11T00:22:12.460629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4027
 
16.5%
구 895
 
3.7%
에 803
 
3.3%
1 791
 
3.2%
역 785
 
3.2%
서 784
 
3.2%
번 741
 
3.0%
3 712
 
2.9%
출 711
 
2.9%
m 610
 
2.5%
Other values (484) 13562
55.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14804
60.6%
Decimal Number 4125
 
16.9%
Space Separator 4093
 
16.8%
Lowercase Letter 621
 
2.5%
Other Punctuation 505
 
2.1%
Close Punctuation 91
 
0.4%
Open Punctuation 90
 
0.4%
Uppercase Letter 50
 
0.2%
Dash Punctuation 31
 
0.1%
Math Symbol 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 895
 
6.0%
에 803
 
5.4%
역 785
 
5.3%
서 784
 
5.3%
번 741
 
5.0%
출 711
 
4.8%
로 255
 
1.7%
동 249
 
1.7%
선 185
 
1.2%
대 172
 
1.2%
Other values (438) 9224
62.3%
Uppercase Letter
ValueCountFrequency (%)
M 13
26.0%
S 10
20.0%
G 6
12.0%
K 5
 
10.0%
C 3
 
6.0%
A 3
 
6.0%
J 2
 
4.0%
I 2
 
4.0%
L 1
 
2.0%
P 1
 
2.0%
Other values (4) 4
 
8.0%
Decimal Number
ValueCountFrequency (%)
1 791
19.2%
3 712
17.3%
2 535
13.0%
4 442
10.7%
0 398
9.6%
5 348
8.4%
6 282
 
6.8%
7 252
 
6.1%
8 218
 
5.3%
9 147
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
m 610
98.2%
s 3
 
0.5%
g 2
 
0.3%
o 2
 
0.3%
k 1
 
0.2%
r 1
 
0.2%
l 1
 
0.2%
i 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
. 233
46.1%
, 167
33.1%
: 74
 
14.7%
' 30
 
5.9%
? 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
> 5
71.4%
| 1
 
14.3%
~ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
4027
98.4%
　 66
 
1.6%
Close Punctuation
ValueCountFrequency (%)
) 91
100.0%
Open Punctuation
ValueCountFrequency (%)
( 90
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%
Control
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14804
60.6%
Common 8946
36.6%
Latin 671
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 895
 
6.0%
에 803
 
5.4%
역 785
 
5.3%
서 784
 
5.3%
번 741
 
5.0%
출 711
 
4.8%
로 255
 
1.7%
동 249
 
1.7%
선 185
 
1.2%
대 172
 
1.2%
Other values (438) 9224
62.3%
Common
ValueCountFrequency (%)
4027
45.0%
1 791
 
8.8%
3 712
 
8.0%
2 535
 
6.0%
4 442
 
4.9%
0 398
 
4.4%
5 348
 
3.9%
6 282
 
3.2%
7 252
 
2.8%
. 233
 
2.6%
Other values (14) 926
 
10.4%
Latin
ValueCountFrequency (%)
m 610
90.9%
M 13
 
1.9%
S 10
 
1.5%
G 6
 
0.9%
K 5
 
0.7%
C 3
 
0.4%
A 3
 
0.4%
s 3
 
0.4%
J 2
 
0.3%
I 2
 
0.3%
Other values (12) 14
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14804
60.6%
ASCII 9551
39.1%
None 66
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4027
42.2%
1 791
 
8.3%
3 712
 
7.5%
m 610
 
6.4%
2 535
 
5.6%
4 442
 
4.6%
0 398
 
4.2%
5 348
 
3.6%
6 282
 
3.0%
7 252
 
2.6%
Other values (35) 1154
 
12.1%
Hangul
ValueCountFrequency (%)
구 895
 
6.0%
에 803
 
5.4%
역 785
 
5.3%
서 784
 
5.3%
번 741
 
5.0%
출 711
 
4.8%
로 255
 
1.7%
동 249
 
1.7%
선 185
 
1.2%
대 172
 
1.2%
Other values (438) 9224
62.3%
None
ValueCountFrequency (%)
　 66
100.0%

업소정보
Text

MISSING 

Distinct1127
Distinct (%)77.2%
Missing58
Missing (%)3.8%
Memory size12.0 KiB
2024-05-11T00:22:13.417535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length356
Median length111
Mean length46.325342
Min length1

Characters and Unicode

Total characters67635
Distinct characters362
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1084 ?
Unique (%)74.2%

Sample

1st row영업시간 :09:00~21:00 좌석수 :5 휴무일 :매주 수요일 예약 :불가능 카드 :불가능 주차 :가능 취급 품목 : 미용료(파마) 27,000원
2nd row영업시간 : 09:30~21:00 휴무일 : 매주 일요일
3rd row영업시간 : 오전 9시 ~ 오후 8시 휴무일 : 매주 일요일
4th row영업시간 :오전 9시 30분 ~ 오후 9시 30분 휴무일 : 매월 둘째, 넷째주 일요일
5th row영업시간 : 오전 7시 ~ 오후 9시 휴무일 : 매주 화요일
ValueCountFrequency (%)
5368
32.5%
영업시간 1076
 
6.5%
휴무일 767
 
4.6%
주차 563
 
3.4%
가능 536
 
3.2%
카드 520
 
3.1%
배달 491
 
3.0%
좌석수 465
 
2.8%
예약 465
 
2.8%
홈페이지 382
 
2.3%
Other values (1019) 5903
35.7%
2024-05-11T00:22:14.860686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21219
31.4%
: 7754
 
11.5%
0 5060
 
7.5%
일 1781
 
2.6%
주 1636
 
2.4%
1 1633
 
2.4%
2 1356
 
2.0%
시 1326
 
2.0%
간 1124
 
1.7%
영 1099
 
1.6%
Other values (352) 23647
35.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26075
38.6%
Space Separator 21297
31.5%
Decimal Number 9760
 
14.4%
Other Punctuation 8148
 
12.0%
Math Symbol 922
 
1.4%
Lowercase Letter 432
 
0.6%
Dash Punctuation 326
 
0.5%
Open Punctuation 194
 
0.3%
Close Punctuation 194
 
0.3%
Other Symbol 154
 
0.2%
Other values (3) 133
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 1781
 
6.8%
주 1636
 
6.3%
시 1326
 
5.1%
간 1124
 
4.3%
영 1099
 
4.2%
업 1096
 
4.2%
휴 1059
 
4.1%
무 1051
 
4.0%
가 991
 
3.8%
소 770
 
3.0%
Other values (285) 14142
54.2%
Lowercase Letter
ValueCountFrequency (%)
l 47
 
10.9%
n 44
 
10.2%
a 34
 
7.9%
t 31
 
7.2%
o 28
 
6.5%
m 27
 
6.2%
u 26
 
6.0%
s 22
 
5.1%
c 19
 
4.4%
h 18
 
4.2%
Other values (15) 136
31.5%
Other Punctuation
ValueCountFrequency (%)
: 7754
95.2%
, 244
 
3.0%
/ 53
 
0.7%
* 43
 
0.5%
. 33
 
0.4%
※ 4
 
< 0.1%
; 4
 
< 0.1%
？ 4
 
< 0.1%
? 3
 
< 0.1%
' 3
 
< 0.1%
Other values (2) 3
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
0 5060
51.8%
1 1633
 
16.7%
2 1356
 
13.9%
3 601
 
6.2%
9 341
 
3.5%
8 179
 
1.8%
4 172
 
1.8%
7 169
 
1.7%
5 144
 
1.5%
6 105
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
X 68
62.4%
O 24
 
22.0%
M 6
 
5.5%
A 3
 
2.8%
P 3
 
2.8%
K 3
 
2.8%
G 2
 
1.8%
Math Symbol
ValueCountFrequency (%)
~ 911
98.8%
× 5
 
0.5%
= 3
 
0.3%
> 2
 
0.2%
→ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
21219
99.6%
　 78
 
0.4%
Dash Punctuation
ValueCountFrequency (%)
- 326
100.0%
Open Punctuation
ValueCountFrequency (%)
( 194
100.0%
Close Punctuation
ValueCountFrequency (%)
) 194
100.0%
Other Symbol
ValueCountFrequency (%)
○ 154
100.0%
Control
ValueCountFrequency (%)
17
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 41019
60.6%
Hangul 26075
38.6%
Latin 541
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 1781
 
6.8%
주 1636
 
6.3%
시 1326
 
5.1%
간 1124
 
4.3%
영 1099
 
4.2%
업 1096
 
4.2%
휴 1059
 
4.1%
무 1051
 
4.0%
가 991
 
3.8%
소 770
 
3.0%
Other values (285) 14142
54.2%
Common
ValueCountFrequency (%)
21219
51.7%
: 7754
 
18.9%
0 5060
 
12.3%
1 1633
 
4.0%
2 1356
 
3.3%
~ 911
 
2.2%
3 601
 
1.5%
9 341
 
0.8%
- 326
 
0.8%
, 244
 
0.6%
Other values (25) 1574
 
3.8%
Latin
ValueCountFrequency (%)
X 68
 
12.6%
l 47
 
8.7%
n 44
 
8.1%
a 34
 
6.3%
t 31
 
5.7%
o 28
 
5.2%
m 27
 
5.0%
u 26
 
4.8%
O 24
 
4.4%
s 22
 
4.1%
Other values (22) 190
35.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 41313
61.1%
Hangul 26075
38.6%
Geometric Shapes 154
 
0.2%
None 88
 
0.1%
Punctuation 4
 
< 0.1%
Arrows 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21219
51.4%
: 7754
 
18.8%
0 5060
 
12.2%
1 1633
 
4.0%
2 1356
 
3.3%
~ 911
 
2.2%
3 601
 
1.5%
9 341
 
0.8%
- 326
 
0.8%
, 244
 
0.6%
Other values (50) 1868
 
4.5%
Hangul
ValueCountFrequency (%)
일 1781
 
6.8%
주 1636
 
6.3%
시 1326
 
5.1%
간 1124
 
4.3%
영 1099
 
4.2%
업 1096
 
4.2%
휴 1059
 
4.1%
무 1051
 
4.0%
가 991
 
3.8%
소 770
 
3.0%
Other values (285) 14142
54.2%
Geometric Shapes
ValueCountFrequency (%)
○ 154
100.0%
None
ValueCountFrequency (%)
　 78
88.6%
× 5
 
5.7%
？ 4
 
4.5%
！ 1
 
1.1%
Punctuation
ValueCountFrequency (%)
※ 4
100.0%
Arrows
ValueCountFrequency (%)
→ 1
100.0%

자랑거리
Text

MISSING 

Distinct781
Distinct (%)68.8%
Missing382
Missing (%)25.2%
Memory size12.0 KiB
2024-05-11T00:22:15.699949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length398
Median length132
Mean length32.776408
Min length1

Characters and Unicode

Total characters37234
Distinct characters777
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique757 ?
Unique (%)66.6%

Sample

1st row면목시장내 위치, 형편이 어려우신 분은 요금을 할인해주며 20년간 봉사활동을 하시는 사장님이 운영하는 업소
2nd row　
3rd row▷경로자, 장애인 할인해 드림 ▷한달에 한번씩 교회에서 지역어르신들 머리 커트 봉사
4th row　
5th row　
ValueCountFrequency (%)
저렴한 299
 
3.5%
가격 161
 
1.9%
깨끗한 120
 
1.4%
위생 106
 
1.2%
95
 
1.1%
가격이 92
 
1.1%
저렴하고 90
 
1.1%
직접 71
 
0.8%
가격으로 68
 
0.8%
제공 57
 
0.7%
Other values (3705) 7395
86.5%
2024-05-11T00:22:17.302383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8078
 
21.7%
가 905
 
2.4%
한 862
 
2.3%
하 730
 
2.0%
이 666
 
1.8%
고 558
 
1.5%
격 542
 
1.5%
저 527
 
1.4%
로 524
 
1.4%
, 514
 
1.4%
Other values (767) 23328
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26617
71.5%
Space Separator 8276
 
22.2%
Other Punctuation 1092
 
2.9%
Decimal Number 831
 
2.2%
Dash Punctuation 83
 
0.2%
Open Punctuation 83
 
0.2%
Close Punctuation 83
 
0.2%
Math Symbol 82
 
0.2%
Uppercase Letter 46
 
0.1%
Lowercase Letter 29
 
0.1%
Other values (3) 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 905
 
3.4%
한 862
 
3.2%
하 730
 
2.7%
이 666
 
2.5%
고 558
 
2.1%
격 542
 
2.0%
저 527
 
2.0%
로 524
 
2.0%
렴 506
 
1.9%
다 371
 
1.4%
Other values (694) 20426
76.7%
Lowercase Letter
ValueCountFrequency (%)
o 5
17.2%
s 4
13.8%
m 3
10.3%
t 2
 
6.9%
h 2
 
6.9%
l 2
 
6.9%
g 2
 
6.9%
p 1
 
3.4%
b 1
 
3.4%
n 1
 
3.4%
Other values (6) 6
20.7%
Other Punctuation
ValueCountFrequency (%)
, 514
47.1%
. 353
32.3%
' 73
 
6.7%
% 39
 
3.6%
! 33
 
3.0%
: 25
 
2.3%
& 11
 
1.0%
; 9
 
0.8%
# 9
 
0.8%
/ 8
 
0.7%
Other values (5) 18
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
S 11
23.9%
B 7
15.2%
M 5
10.9%
T 4
 
8.7%
C 4
 
8.7%
P 3
 
6.5%
A 2
 
4.3%
G 2
 
4.3%
V 2
 
4.3%
N 1
 
2.2%
Other values (5) 5
10.9%
Decimal Number
ValueCountFrequency (%)
0 342
41.2%
1 140
16.8%
2 123
 
14.8%
3 55
 
6.6%
5 50
 
6.0%
4 33
 
4.0%
7 27
 
3.2%
9 26
 
3.1%
6 19
 
2.3%
8 16
 
1.9%
Math Symbol
ValueCountFrequency (%)
▷ 51
62.2%
~ 24
29.3%
→ 2
 
2.4%
> 2
 
2.4%
< 2
 
2.4%
+ 1
 
1.2%
Space Separator
ValueCountFrequency (%)
8078
97.6%
　 198
 
2.4%
Open Punctuation
ValueCountFrequency (%)
( 81
97.6%
[ 2
 
2.4%
Close Punctuation
ValueCountFrequency (%)
) 81
97.6%
] 2
 
2.4%
Other Symbol
ValueCountFrequency (%)
★ 4
80.0%
○ 1
 
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 83
100.0%
Control
ValueCountFrequency (%)
5
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26617
71.5%
Common 10542
 
28.3%
Latin 75
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 905
 
3.4%
한 862
 
3.2%
하 730
 
2.7%
이 666
 
2.5%
고 558
 
2.1%
격 542
 
2.0%
저 527
 
2.0%
로 524
 
2.0%
렴 506
 
1.9%
다 371
 
1.4%
Other values (694) 20426
76.7%
Common
ValueCountFrequency (%)
8078
76.6%
, 514
 
4.9%
. 353
 
3.3%
0 342
 
3.2%
　 198
 
1.9%
1 140
 
1.3%
2 123
 
1.2%
- 83
 
0.8%
( 81
 
0.8%
) 81
 
0.8%
Other values (32) 549
 
5.2%
Latin
ValueCountFrequency (%)
S 11
14.7%
B 7
 
9.3%
o 5
 
6.7%
M 5
 
6.7%
s 4
 
5.3%
T 4
 
5.3%
C 4
 
5.3%
m 3
 
4.0%
P 3
 
4.0%
t 2
 
2.7%
Other values (21) 27
36.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26611
71.5%
ASCII 10357
 
27.8%
None 200
 
0.5%
Geometric Shapes 52
 
0.1%
Compat Jamo 6
 
< 0.1%
Misc Symbols 4
 
< 0.1%
Arrows 2
 
< 0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8078
78.0%
, 514
 
5.0%
. 353
 
3.4%
0 342
 
3.3%
1 140
 
1.4%
2 123
 
1.2%
- 83
 
0.8%
( 81
 
0.8%
) 81
 
0.8%
' 73
 
0.7%
Other values (55) 489
 
4.7%
Hangul
ValueCountFrequency (%)
가 905
 
3.4%
한 862
 
3.2%
하 730
 
2.7%
이 666
 
2.5%
고 558
 
2.1%
격 542
 
2.0%
저 527
 
2.0%
로 524
 
2.0%
렴 506
 
1.9%
다 371
 
1.4%
Other values (693) 20420
76.7%
None
ValueCountFrequency (%)
　 198
99.0%
？ 2
 
1.0%
Geometric Shapes
ValueCountFrequency (%)
▷ 51
98.1%
○ 1
 
1.9%
Compat Jamo
ValueCountFrequency (%)
ㅇ 6
100.0%
Misc Symbols
ValueCountFrequency (%)
★ 4
100.0%
Arrows
ValueCountFrequency (%)
→ 2
100.0%
Punctuation
ValueCountFrequency (%)
※ 1
50.0%
… 1
50.0%

추천수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct51
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.044137
Minimum0
Maximum450
Zeros981
Zeros (%)64.6%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-05-11T00:22:17.801894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile9
Maximum450
Range450
Interquartile range (IQR)3

Descriptive statistics

Standard deviation30.284414
Coefficient of variation (CV)5.0105439
Kurtosis94.318901
Mean6.044137
Median Absolute Deviation (MAD)0
Skewness8.8789402
Sum9175
Variance917.14571
MonotonicityDecreasing
2024-05-11T00:22:18.249849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 981
64.6%
3 215
 
14.2%
2 109
 
7.2%
5 54
 
3.6%
6 30
 
2.0%
4 19
 
1.3%
7 17
 
1.1%
9 14
 
0.9%
8 9
 
0.6%
62 9
 
0.6%
Other values (41) 61
 
4.0%
ValueCountFrequency (%)
0 981
64.6%
1 3
 
0.2%
2 109
 
7.2%
3 215
 
14.2%
4 19
 
1.3%
5 54
 
3.6%
6 30
 
2.0%
7 17
 
1.1%
8 9
 
0.6%
9 14
 
0.9%
ValueCountFrequency (%)
450 1
0.1%
432 1
0.1%
336 1
0.1%
318 1
0.1%
264 1
0.1%
258 1
0.1%
257 1
0.1%
252 1
0.1%
250 1
0.1%
236 1
0.1%

기준년월
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
24-4
1518 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row24-4
2nd row24-4
3rd row24-4
4th row24-4
5th row24-4

Common Values

ValueCountFrequency (%)
24-4 1518
100.0%

Length

2024-05-11T00:22:18.670524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:22:18.969519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
24-4 1518
100.0%

업소 사진
Text

Distinct1413
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
2024-05-11T00:22:19.808223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length74
Mean length72.581686
Min length56

Characters and Unicode

Total characters110179
Distinct characters60
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1412 ?
Unique (%)93.0%

Sample

1st rowhttp://sftc.seoul.go.kr/mulga/inc/img_view.jsp?filename=20151126102205.jpg
2nd rowhttp://sftc.seoul.go.kr/mulga/inc/img_view.jsp?filename=20240125165641.jpg
3rd rowhttp://sftc.seoul.go.kr/mulga/inc/img_view.jsp?filename=20220718132604.jpg
4th rowhttp://sftc.seoul.go.kr/mulga/inc/img_view.jsp?filename=20220718160128.jpg
5th rowhttp://sftc.seoul.go.kr/mulga/inc/img_view.jsp?filename=20120405110716.JPG
ValueCountFrequency (%)
http://sftc.seoul.go.kr/mulga/inc/img_view.jsp?filename 106
 
7.0%
http://sftc.seoul.go.kr/mulga/inc/img_view.jsp?filename=20231127173115.jpg 1
 
0.1%
http://sftc.seoul.go.kr/mulga/inc/img_view.jsp?filename=20180111144759.jpg 1
 
0.1%
http://sftc.seoul.go.kr/mulga/inc/img_view.jsp?filename=20180124141757.jpg 1
 
0.1%
http://sftc.seoul.go.kr/mulga/inc/img_view.jsp?filename=20190924135108.jpg 1
 
0.1%
http://sftc.seoul.go.kr/mulga/inc/img_view.jsp?filename=20191010142616.jpg 1
 
0.1%
http://sftc.seoul.go.kr/mulga/inc/img_view.jsp?filename=20190923092456.jpg 1
 
0.1%
http://sftc.seoul.go.kr/mulga/inc/img_view.jsp?filename=20200513132925.jpg 1
 
0.1%
http://sftc.seoul.go.kr/mulga/inc/img_view.jsp?filename=20190924140556.jpg 1
 
0.1%
http://sftc.seoul.go.kr/mulga/inc/img_view.jsp?filename=20191226135922.jpg 1
 
0.1%
Other values (1405) 1405
92.4%
2024-05-11T00:22:21.351998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 7590
 
6.9%
. 7484
 
6.8%
i 6080
 
5.5%
e 6072
 
5.5%
g 5593
 
5.1%
m 4555
 
4.1%
t 4554
 
4.1%
s 4554
 
4.1%
l 4554
 
4.1%
2 4183
 
3.8%
Other values (50) 54960
49.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 68394
62.1%
Decimal Number 19477
 
17.7%
Other Punctuation 18110
 
16.4%
Connector Punctuation 1523
 
1.4%
Math Symbol 1518
 
1.4%
Uppercase Letter 1143
 
1.0%
Other Letter 12
 
< 0.1%
Space Separator 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 6080
 
8.9%
e 6072
 
8.9%
g 5593
 
8.2%
m 4555
 
6.7%
t 4554
 
6.7%
s 4554
 
6.7%
l 4554
 
6.7%
p 4066
 
5.9%
n 3126
 
4.6%
f 3044
 
4.5%
Other values (12) 22196
32.5%
Other Letter
ValueCountFrequency (%)
독 1
8.3%
련 1
8.3%
육 1
8.3%
교 1
8.3%
체 1
8.3%
단 1
8.3%
물 1
8.3%
관 1
8.3%
가 1
8.3%
한 1
8.3%
Other values (2) 2
16.7%
Decimal Number
ValueCountFrequency (%)
2 4183
21.5%
0 4148
21.3%
1 3920
20.1%
3 1815
9.3%
4 1185
 
6.1%
5 1150
 
5.9%
7 996
 
5.1%
6 825
 
4.2%
9 684
 
3.5%
8 571
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
P 374
32.7%
G 374
32.7%
J 344
30.1%
N 30
 
2.6%
S 7
 
0.6%
T 5
 
0.4%
A 5
 
0.4%
D 2
 
0.2%
C 2
 
0.2%
Other Punctuation
ValueCountFrequency (%)
/ 7590
41.9%
. 7484
41.3%
? 1518
 
8.4%
: 1518
 
8.4%
Connector Punctuation
ValueCountFrequency (%)
_ 1523
100.0%
Math Symbol
ValueCountFrequency (%)
= 1518
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 69537
63.1%
Common 40630
36.9%
Hangul 12
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 6080
 
8.7%
e 6072
 
8.7%
g 5593
 
8.0%
m 4555
 
6.6%
t 4554
 
6.5%
s 4554
 
6.5%
l 4554
 
6.5%
p 4066
 
5.8%
n 3126
 
4.5%
f 3044
 
4.4%
Other values (21) 23339
33.6%
Common
ValueCountFrequency (%)
/ 7590
18.7%
. 7484
18.4%
2 4183
10.3%
0 4148
10.2%
1 3920
9.6%
3 1815
 
4.5%
_ 1523
 
3.7%
? 1518
 
3.7%
= 1518
 
3.7%
: 1518
 
3.7%
Other values (7) 5413
13.3%
Hangul
ValueCountFrequency (%)
독 1
8.3%
련 1
8.3%
육 1
8.3%
교 1
8.3%
체 1
8.3%
단 1
8.3%
물 1
8.3%
관 1
8.3%
가 1
8.3%
한 1
8.3%
Other values (2) 2
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 110167
> 99.9%
Hangul 12
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 7590
 
6.9%
. 7484
 
6.8%
i 6080
 
5.5%
e 6072
 
5.5%
g 5593
 
5.1%
m 4555
 
4.1%
t 4554
 
4.1%
s 4554
 
4.1%
l 4554
 
4.1%
2 4183
 
3.8%
Other values (38) 54948
49.9%
Hangul
ValueCountFrequency (%)
독 1
8.3%
련 1
8.3%
육 1
8.3%
교 1
8.3%
체 1
8.3%
단 1
8.3%
물 1
8.3%
관 1
8.3%
가 1
8.3%
한 1
8.3%
Other values (2) 2
16.7%

Interactions

2024-05-11T00:21:59.893833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:21:58.144672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:21:59.050183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:22:00.153593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:21:58.497460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:21:59.378012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:22:00.568259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:21:58.772538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:21:59.645798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T00:22:21.960860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소아이디분류코드분류코드명추천수
업소아이디1.0000.1950.2020.603
분류코드0.1951.0001.0000.105
분류코드명0.2021.0001.0000.096
추천수0.6030.1050.0961.000
2024-05-11T00:22:22.298983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소아이디분류코드추천수분류코드명
업소아이디1.000-0.104-0.8470.091
분류코드-0.1041.0000.1040.999
추천수-0.8470.1041.0000.047
분류코드명0.0910.9990.0471.000

Missing values

2024-05-11T00:22:01.048778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T00:22:01.733397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-05-11T00:22:02.102293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

업소아이디업소명분류코드분류코드명업소 주소업소 전화번호찾아오시는 길업소정보자랑거리추천수기준년월업소 사진
06017아폴로헤어크리닉5이 미용업서울특별시 중랑구 사가정로50길 67 (면목동)495-7337면목골목시장 65호영업시간 :09:00~21:00 좌석수 :5 휴무일 :매주 수요일 예약 :불가능 카드 :불가능 주차 :가능 취급 품목 : 미용료(파마) 27,000원면목시장내 위치, 형편이 어려우신 분은 요금을 할인해주며 20년간 봉사활동을 하시는 사장님이 운영하는 업소45024-4http://sftc.seoul.go.kr/mulga/inc/img_view.jsp?filename=20151126102205.jpg
16015상록수미용실5이 미용업서울특별시 중랑구 동일로99길 22 (면목동)<NA>면목2동 다울아파트에서 동일로로 가는 골목에 위치영업시간 : 09:30~21:00 휴무일 : 매주 일요일43224-4http://sftc.seoul.go.kr/mulga/inc/img_view.jsp?filename=20240125165641.jpg
24506열린미용실5이 미용업서울특별시 관악구 난곡로40길 16 (신림동)<NA>미성동 노선버스 신일교회앞 하차영업시간 : 오전 9시 ~ 오후 8시 휴무일 : 매주 일요일▷경로자, 장애인 할인해 드림 ▷한달에 한번씩 교회에서 지역어르신들 머리 커트 봉사33624-4http://sftc.seoul.go.kr/mulga/inc/img_view.jsp?filename=20220718132604.jpg
33002미림17분칼라13기타서비스업종서울특별시 관악구 호암로26길 1 (신림동)02-871-7070서울대벤처타운역 2번 출구에서157m 미림여고 입구 국민은행 옆 위치영업시간 :오전 9시 30분 ~ 오후 9시 30분 휴무일 : 매월 둘째, 넷째주 일요일31824-4http://sftc.seoul.go.kr/mulga/inc/img_view.jsp?filename=20220718160128.jpg
44242덕성이발관5이 미용업서울특별시 관악구 장군봉2길 11 (봉천동)02-882-5875봉천역 3번 출구에서 시장골목으로 100미터영업시간 : 오전 7시 ~ 오후 9시 휴무일 : 매주 화요일26424-4http://sftc.seoul.go.kr/mulga/inc/img_view.jsp?filename=20120405110716.JPG
55948헤어디자인하우스5이 미용업서울특별시 서울 관악구 은천로 95, 벽산블루밍상가 4층02-3285-8002지하철 2호선 봉천역 하차 4번출구로 나와 1번 마을버스 타고 현대시장 정류장 하차, 벽산블루밍아파트상가까지 도보 3분영업시간 : 오전 10시 ~ 오후 8시 휴무일 : 매주 일요일최고의 기술과 서비스 제공25824-4http://sftc.seoul.go.kr/mulga/inc/img_view.jsp?filename=20220728102750.jpg
61739목우촌부추삼겹살1한식서울특별시 관악구 남현1길 68-10 (남현동)02-588-7399전철 2호선, 4호선 사당역에서 5번출구로 나오시면 (구)관악등기소쪽 먹자골목으로 50m거리에 위치매일 12:00 - 24:0025724-4http://sftc.seoul.go.kr/mulga/inc/img_view.jsp?filename=20150107174451.JPG
74325청진동해장국1한식서울특별시 관악구 관악로 105 (봉천동) 동산빌딩1층02-875-9882지하철 2호선 서울대입구역 3번 출구로 나와서 서울대학교 쪽으로 직진 도보10분 관악경찰서 앞에 위치함.영업시간 : 24시간 휴무일 : 연중무휴25224-4http://sftc.seoul.go.kr/mulga/inc/img_view.jsp?filename=20220718174745.jpg
86688행운미용실5이 미용업서울특별시 중랑구 동일로120길 121-11 (상봉동)2208-7385상봉1동 주민센터 지나 우회전하여 부광통상 택시회사 옆영업시간 : 8:30~22:00 좌석수 :2 휴무일 :없음 배달 : 불가능 예약 : 불가능 카드 : 불가능 주차 :가능 취급품목 : 미용료(파마) 15,000원한 장소에서 오랫동안 미용실을 운영, 종업원 없이 사장님 혼자 운영하시기 때문에 가격이 저렴하여 바쁜 시간에는 번호표를 뽑을 정도로 대기손님이 많음25024-4http://sftc.seoul.go.kr/mulga/inc/img_view.jsp?filename=20151126102800.jpg
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