Overview

Dataset statistics

Number of variables13
Number of observations2959
Missing cells5062
Missing cells (%)13.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory303.5 KiB
Average record size in memory105.0 B

Variable types

Numeric1
Categorical3
Text8
DateTime1

Dataset

Description국내 유원시설업체 종류(종합, 일반, 기타), 업체정보(업체명, 기본주소, 상세주소, 전화번호), 영업소정보(우편번호, 기본주소, 상세주소, 영업소 상태, 폐업상태, 관할지자체) 등 현황입니다.
Author한국관광공사
URLhttps://www.data.go.kr/data/15061002/fileData.do

Alerts

번호 is highly overall correlated with 유원시설업종류 and 1 other fieldsHigh correlation
유원시설업종류 is highly overall correlated with 번호High correlation
영업소상태 is highly overall correlated with 번호High correlation
유원시설업종류 is highly imbalanced (51.5%)Imbalance
업체상세주소 has 667 (22.5%) missing valuesMissing
전화번호 has 1304 (44.1%) missing valuesMissing
영업소상세주소 has 648 (21.9%) missing valuesMissing
폐업일자 has 2443 (82.6%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:30:34.869623
Analysis finished2023-12-12 00:30:36.971030
Duration2.1 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct2959
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1480
Minimum1
Maximum2959
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.1 KiB
2023-12-12T09:30:37.033163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile148.9
Q1740.5
median1480
Q32219.5
95-th percentile2811.1
Maximum2959
Range2958
Interquartile range (IQR)1479

Descriptive statistics

Standard deviation854.33405
Coefficient of variation (CV)0.57725274
Kurtosis-1.2
Mean1480
Median Absolute Deviation (MAD)740
Skewness0
Sum4379320
Variance729886.67
MonotonicityStrictly increasing
2023-12-12T09:30:37.143363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1978 1
 
< 0.1%
1969 1
 
< 0.1%
1970 1
 
< 0.1%
1971 1
 
< 0.1%
1972 1
 
< 0.1%
1973 1
 
< 0.1%
1974 1
 
< 0.1%
1975 1
 
< 0.1%
1976 1
 
< 0.1%
Other values (2949) 2949
99.7%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
2959 1
< 0.1%
2958 1
< 0.1%
2957 1
< 0.1%
2956 1
< 0.1%
2955 1
< 0.1%
2954 1
< 0.1%
2953 1
< 0.1%
2952 1
< 0.1%
2951 1
< 0.1%
2950 1
< 0.1%

유원시설업종류
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.2 KiB
기타
2419 
일반
488 
종합
 
52

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row종합
2nd row종합
3rd row종합
4th row종합
5th row종합

Common Values

ValueCountFrequency (%)
기타 2419
81.8%
일반 488
 
16.5%
종합 52
 
1.8%

Length

2023-12-12T09:30:37.248448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:30:37.548761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 2419
81.8%
일반 488
 
16.5%
종합 52
 
1.8%

업체명
Text

Distinct2400
Distinct (%)81.1%
Missing0
Missing (%)0.0%
Memory size23.2 KiB
2023-12-12T09:30:37.763751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length26
Mean length7.9422102
Min length2

Characters and Unicode

Total characters23501
Distinct characters687
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

Unique2138 ?
Unique (%)72.3%

Sample

1st row(주)대명레저산업
2nd row(주)성호리조트-주식회사 이지데코
3rd row람정제주개발 주식회사
4th row나주관광개발(주)
5th row(주)대명티피앤이
ValueCountFrequency (%)
주식회사 162
 
3.9%
키즈카페 91
 
2.2%
노리파크 59
 
1.4%
점프노리 44
 
1.1%
주식회사소프트플레이코리아 40
 
1.0%
헬로방방 40
 
1.0%
킹콩점프 39
 
0.9%
타요키즈카페 29
 
0.7%
맥스라이더 27
 
0.7%
야사노 21
 
0.5%
Other values (2579) 3582
86.6%
2023-12-12T09:30:38.104449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1178
 
5.0%
점 918
 
3.9%
주 763
 
3.2%
이 741
 
3.2%
리 605
 
2.6%
( 543
 
2.3%
키 542
 
2.3%
) 542
 
2.3%
즈 537
 
2.3%
스 480
 
2.0%
Other values (677) 16652
70.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20774
88.4%
Space Separator 1178
 
5.0%
Open Punctuation 543
 
2.3%
Close Punctuation 542
 
2.3%
Uppercase Letter 237
 
1.0%
Lowercase Letter 119
 
0.5%
Decimal Number 59
 
0.3%
Other Punctuation 19
 
0.1%
Other Symbol 14
 
0.1%
Dash Punctuation 13
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 918
 
4.4%
주 763
 
3.7%
이 741
 
3.6%
리 605
 
2.9%
키 542
 
2.6%
즈 537
 
2.6%
스 480
 
2.3%
방 436
 
2.1%
사 373
 
1.8%
드 339
 
1.6%
Other values (613) 15040
72.4%
Uppercase Letter
ValueCountFrequency (%)
R 18
 
7.6%
L 16
 
6.8%
I 16
 
6.8%
V 16
 
6.8%
S 15
 
6.3%
K 14
 
5.9%
T 12
 
5.1%
A 12
 
5.1%
D 12
 
5.1%
E 11
 
4.6%
Other values (15) 95
40.1%
Lowercase Letter
ValueCountFrequency (%)
a 14
 
11.8%
l 11
 
9.2%
e 11
 
9.2%
d 9
 
7.6%
o 9
 
7.6%
n 8
 
6.7%
u 6
 
5.0%
t 6
 
5.0%
r 5
 
4.2%
s 5
 
4.2%
Other values (10) 35
29.4%
Decimal Number
ValueCountFrequency (%)
2 15
25.4%
4 10
16.9%
1 7
11.9%
9 6
 
10.2%
6 5
 
8.5%
3 5
 
8.5%
5 4
 
6.8%
0 4
 
6.8%
8 2
 
3.4%
7 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
. 13
68.4%
& 5
 
26.3%
, 1
 
5.3%
Space Separator
ValueCountFrequency (%)
1178
100.0%
Open Punctuation
ValueCountFrequency (%)
( 543
100.0%
Close Punctuation
ValueCountFrequency (%)
) 542
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20788
88.5%
Common 2357
 
10.0%
Latin 356
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 918
 
4.4%
주 763
 
3.7%
이 741
 
3.6%
리 605
 
2.9%
키 542
 
2.6%
즈 537
 
2.6%
스 480
 
2.3%
방 436
 
2.1%
사 373
 
1.8%
드 339
 
1.6%
Other values (614) 15054
72.4%
Latin
ValueCountFrequency (%)
R 18
 
5.1%
L 16
 
4.5%
I 16
 
4.5%
V 16
 
4.5%
S 15
 
4.2%
a 14
 
3.9%
K 14
 
3.9%
T 12
 
3.4%
A 12
 
3.4%
D 12
 
3.4%
Other values (35) 211
59.3%
Common
ValueCountFrequency (%)
1178
50.0%
( 543
23.0%
) 542
23.0%
2 15
 
0.6%
- 13
 
0.6%
. 13
 
0.6%
4 10
 
0.4%
1 7
 
0.3%
9 6
 
0.3%
& 5
 
0.2%
Other values (8) 25
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20774
88.4%
ASCII 2713
 
11.5%
None 14
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1178
43.4%
( 543
20.0%
) 542
20.0%
R 18
 
0.7%
L 16
 
0.6%
I 16
 
0.6%
V 16
 
0.6%
S 15
 
0.6%
2 15
 
0.6%
a 14
 
0.5%
Other values (53) 340
 
12.5%
Hangul
ValueCountFrequency (%)
점 918
 
4.4%
주 763
 
3.7%
이 741
 
3.6%
리 605
 
2.9%
키 542
 
2.6%
즈 537
 
2.6%
스 480
 
2.3%
방 436
 
2.1%
사 373
 
1.8%
드 339
 
1.6%
Other values (613) 15040
72.4%
None
ValueCountFrequency (%)
㈜ 14
100.0%

업체기본주소
Text

Distinct2547
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Memory size23.2 KiB
2023-12-12T09:30:38.472755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length85
Median length51
Mean length19.511997
Min length7

Characters and Unicode

Total characters57736
Distinct characters455
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

Unique2295 ?
Unique (%)77.6%

Sample

1st row강원도 홍천군 서면 한치골길 262
2nd row경상북도 경주시 외동읍 영지로 636
3rd row제주특별자치도 서귀포시 안덕면 녹차분재로 217
4th row전라남도 나주시 나평읍 나주호로 442-129
5th row강원도 홍천군 서면 한치골길 264
ValueCountFrequency (%)
경기도 822
 
6.2%
서울특별시 399
 
3.0%
경상남도 182
 
1.4%
충청남도 166
 
1.3%
인천광역시 150
 
1.1%
경상북도 148
 
1.1%
부산광역시 147
 
1.1%
강원도 135
 
1.0%
충청북도 124
 
0.9%
전라남도 110
 
0.8%
Other values (3717) 10828
82.0%
2023-12-12T09:30:39.048218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10258
 
17.8%
시 2736
 
4.7%
로 2592
 
4.5%
1 2023
 
3.5%
도 1953
 
3.4%
구 1709
 
3.0%
2 1305
 
2.3%
경 1298
 
2.2%
3 1078
 
1.9%
길 985
 
1.7%
Other values (445) 31799
55.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36917
63.9%
Space Separator 10258
 
17.8%
Decimal Number 9707
 
16.8%
Dash Punctuation 430
 
0.7%
Open Punctuation 130
 
0.2%
Close Punctuation 130
 
0.2%
Other Punctuation 124
 
0.2%
Uppercase Letter 37
 
0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 2736
 
7.4%
로 2592
 
7.0%
도 1953
 
5.3%
구 1709
 
4.6%
경 1298
 
3.5%
길 985
 
2.7%
기 913
 
2.5%
광 874
 
2.4%
남 867
 
2.3%
산 798
 
2.2%
Other values (423) 22192
60.1%
Decimal Number
ValueCountFrequency (%)
1 2023
20.8%
2 1305
13.4%
3 1078
11.1%
4 877
9.0%
5 874
9.0%
7 796
 
8.2%
0 767
 
7.9%
6 736
 
7.6%
8 645
 
6.6%
9 606
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
A 9
24.3%
C 9
24.3%
E 9
24.3%
P 9
24.3%
B 1
 
2.7%
Other Punctuation
ValueCountFrequency (%)
, 122
98.4%
. 2
 
1.6%
Space Separator
ValueCountFrequency (%)
10258
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 430
100.0%
Open Punctuation
ValueCountFrequency (%)
( 130
100.0%
Close Punctuation
ValueCountFrequency (%)
) 130
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36917
63.9%
Common 20782
36.0%
Latin 37
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 2736
 
7.4%
로 2592
 
7.0%
도 1953
 
5.3%
구 1709
 
4.6%
경 1298
 
3.5%
길 985
 
2.7%
기 913
 
2.5%
광 874
 
2.4%
남 867
 
2.3%
산 798
 
2.2%
Other values (423) 22192
60.1%
Common
ValueCountFrequency (%)
10258
49.4%
1 2023
 
9.7%
2 1305
 
6.3%
3 1078
 
5.2%
4 877
 
4.2%
5 874
 
4.2%
7 796
 
3.8%
0 767
 
3.7%
6 736
 
3.5%
8 645
 
3.1%
Other values (7) 1423
 
6.8%
Latin
ValueCountFrequency (%)
A 9
24.3%
C 9
24.3%
E 9
24.3%
P 9
24.3%
B 1
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36917
63.9%
ASCII 20819
36.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10258
49.3%
1 2023
 
9.7%
2 1305
 
6.3%
3 1078
 
5.2%
4 877
 
4.2%
5 874
 
4.2%
7 796
 
3.8%
0 767
 
3.7%
6 736
 
3.5%
8 645
 
3.1%
Other values (12) 1460
 
7.0%
Hangul
ValueCountFrequency (%)
시 2736
 
7.4%
로 2592
 
7.0%
도 1953
 
5.3%
구 1709
 
4.6%
경 1298
 
3.5%
길 985
 
2.7%
기 913
 
2.5%
광 874
 
2.4%
남 867
 
2.3%
산 798
 
2.2%
Other values (423) 22192
60.1%

업체상세주소
Text

MISSING 

Distinct1603
Distinct (%)69.9%
Missing667
Missing (%)22.5%
Memory size23.2 KiB
2023-12-12T09:30:39.386825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length32
Mean length8.0789703
Min length1

Characters and Unicode

Total characters18517
Distinct characters557
Distinct categories15 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1459 ?
Unique (%)63.7%

Sample

1st row대명비발디파크
2nd row200
3rd row0
4th row운현오피스텔 101호
5th row(사정동, 번지외)
ValueCountFrequency (%)
2층 260
 
6.5%
3층 216
 
5.4%
4층 151
 
3.8%
1층 138
 
3.5%
5층 85
 
2.1%
6층 58
 
1.5%
홈플러스 51
 
1.3%
b1층 45
 
1.1%
지하1층 45
 
1.1%
지하 43
 
1.1%
Other values (1932) 2891
72.6%
2023-12-12T09:30:40.119198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1694
 
9.1%
층 1279
 
6.9%
1 821
 
4.4%
2 691
 
3.7%
0 636
 
3.4%
동 623
 
3.4%
호 596
 
3.2%
3 494
 
2.7%
( 418
 
2.3%
) 418
 
2.3%
Other values (547) 10847
58.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11356
61.3%
Decimal Number 3754
 
20.3%
Space Separator 1694
 
9.1%
Uppercase Letter 430
 
2.3%
Open Punctuation 418
 
2.3%
Close Punctuation 418
 
2.3%
Other Punctuation 235
 
1.3%
Dash Punctuation 111
 
0.6%
Lowercase Letter 68
 
0.4%
Math Symbol 25
 
0.1%
Other values (5) 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
층 1279
 
11.3%
동 623
 
5.5%
호 596
 
5.2%
빌 294
 
2.6%
스 290
 
2.6%
딩 258
 
2.3%
지 219
 
1.9%
라 196
 
1.7%
트 194
 
1.7%
자 173
 
1.5%
Other values (479) 7234
63.7%
Uppercase Letter
ValueCountFrequency (%)
B 49
11.4%
Y 47
10.9%
H 46
 
10.7%
X 45
 
10.5%
A 29
 
6.7%
S 28
 
6.5%
C 20
 
4.7%
K 18
 
4.2%
E 18
 
4.2%
T 15
 
3.5%
Other values (15) 115
26.7%
Lowercase Letter
ValueCountFrequency (%)
b 43
63.2%
e 6
 
8.8%
m 2
 
2.9%
s 2
 
2.9%
y 2
 
2.9%
h 2
 
2.9%
x 2
 
2.9%
u 1
 
1.5%
l 1
 
1.5%
o 1
 
1.5%
Other values (6) 6
 
8.8%
Decimal Number
ValueCountFrequency (%)
1 821
21.9%
2 691
18.4%
0 636
16.9%
3 494
13.2%
4 351
9.4%
5 243
 
6.5%
6 165
 
4.4%
8 134
 
3.6%
7 133
 
3.5%
9 86
 
2.3%
Other Punctuation
ValueCountFrequency (%)
, 225
95.7%
. 5
 
2.1%
@ 1
 
0.4%
: 1
 
0.4%
# 1
 
0.4%
& 1
 
0.4%
; 1
 
0.4%
Space Separator
ValueCountFrequency (%)
1694
100.0%
Open Punctuation
ValueCountFrequency (%)
( 418
100.0%
Close Punctuation
ValueCountFrequency (%)
) 418
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 111
100.0%
Math Symbol
ValueCountFrequency (%)
~ 25
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
” 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11357
61.3%
Common 6661
36.0%
Latin 499
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
층 1279
 
11.3%
동 623
 
5.5%
호 596
 
5.2%
빌 294
 
2.6%
스 290
 
2.6%
딩 258
 
2.3%
지 219
 
1.9%
라 196
 
1.7%
트 194
 
1.7%
자 173
 
1.5%
Other values (480) 7235
63.7%
Latin
ValueCountFrequency (%)
B 49
 
9.8%
Y 47
 
9.4%
H 46
 
9.2%
X 45
 
9.0%
b 43
 
8.6%
A 29
 
5.8%
S 28
 
5.6%
C 20
 
4.0%
K 18
 
3.6%
E 18
 
3.6%
Other values (32) 156
31.3%
Common
ValueCountFrequency (%)
1694
25.4%
1 821
12.3%
2 691
10.4%
0 636
 
9.5%
3 494
 
7.4%
( 418
 
6.3%
) 418
 
6.3%
4 351
 
5.3%
5 243
 
3.6%
, 225
 
3.4%
Other values (15) 670
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11354
61.3%
ASCII 7157
38.7%
Punctuation 2
 
< 0.1%
Compat Jamo 2
 
< 0.1%
None 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1694
23.7%
1 821
11.5%
2 691
9.7%
0 636
 
8.9%
3 494
 
6.9%
( 418
 
5.8%
) 418
 
5.8%
4 351
 
4.9%
5 243
 
3.4%
, 225
 
3.1%
Other values (54) 1166
16.3%
Hangul
ValueCountFrequency (%)
층 1279
 
11.3%
동 623
 
5.5%
호 596
 
5.2%
빌 294
 
2.6%
스 290
 
2.6%
딩 258
 
2.3%
지 219
 
1.9%
라 196
 
1.7%
트 194
 
1.7%
자 173
 
1.5%
Other values (477) 7232
63.7%
None
ValueCountFrequency (%)
㈜ 1
100.0%
Punctuation
ValueCountFrequency (%)
“ 1
50.0%
” 1
50.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1
50.0%
ㅊ 1
50.0%

전화번호
Text

MISSING 

Distinct1418
Distinct (%)85.7%
Missing1304
Missing (%)44.1%
Memory size23.2 KiB
2023-12-12T09:30:40.809063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.003625
Min length9

Characters and Unicode

Total characters19866
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1301 ?
Unique (%)78.6%

Sample

1st row033-439-7951
2nd row054-745-5100
3rd row064-908-3893
4th row061-339-5040
5th row033-439-8355
ValueCountFrequency (%)
02-2646-0970 40
 
2.4%
02-509-6311 12
 
0.7%
02-534-0150 10
 
0.6%
070-4801-4180 9
 
0.5%
02-569-1440 9
 
0.5%
032-678-7999 8
 
0.5%
070-4221-1368 7
 
0.4%
02-853-4818 7
 
0.4%
031-8049-2095 6
 
0.4%
061-360-8644 5
 
0.3%
Other values (1408) 1542
93.2%
2023-12-12T09:30:41.421675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 3304
16.6%
0 3231
16.3%
3 1891
9.5%
2 1824
9.2%
5 1678
8.4%
1 1658
8.3%
7 1381
7.0%
4 1367
6.9%
6 1301
 
6.5%
8 1225
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16562
83.4%
Dash Punctuation 3304
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3231
19.5%
3 1891
11.4%
2 1824
11.0%
5 1678
10.1%
1 1658
10.0%
7 1381
8.3%
4 1367
8.3%
6 1301
7.9%
8 1225
 
7.4%
9 1006
 
6.1%
Dash Punctuation
ValueCountFrequency (%)
- 3304
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19866
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 3304
16.6%
0 3231
16.3%
3 1891
9.5%
2 1824
9.2%
5 1678
8.4%
1 1658
8.3%
7 1381
7.0%
4 1367
6.9%
6 1301
 
6.5%
8 1225
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19866
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 3304
16.6%
0 3231
16.3%
3 1891
9.5%
2 1824
9.2%
5 1678
8.4%
1 1658
8.3%
7 1381
7.0%
4 1367
6.9%
6 1301
 
6.5%
8 1225
 
6.2%

영업소명
Text

Distinct2762
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size23.2 KiB
2023-12-12T09:30:41.719218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length26
Mean length8.6458263
Min length2

Characters and Unicode

Total characters25583
Distinct characters707
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

Unique2624 ?
Unique (%)88.7%

Sample

1st row오션월드
2nd row(주)성호리조트-주식회사 이지데코
3rd row신화테마파크
4th row중흥골드스파&리조트
5th row(주)대명티피앤이
ValueCountFrequency (%)
주식회사 109
 
2.3%
키즈카페 99
 
2.1%
노리파크 58
 
1.2%
헬로방방 39
 
0.8%
점프노리 39
 
0.8%
플레이타임 30
 
0.6%
맥스라이더 29
 
0.6%
타요키즈카페 29
 
0.6%
킹콩점프 26
 
0.6%
상상노리 25
 
0.5%
Other values (3012) 4221
89.7%
2023-12-12T09:30:42.168316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1748
 
6.8%
점 1078
 
4.2%
이 747
 
2.9%
주 681
 
2.7%
리 605
 
2.4%
키 580
 
2.3%
즈 570
 
2.2%
( 529
 
2.1%
) 528
 
2.1%
스 514
 
2.0%
Other values (697) 18003
70.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22294
87.1%
Space Separator 1748
 
6.8%
Open Punctuation 529
 
2.1%
Close Punctuation 528
 
2.1%
Uppercase Letter 233
 
0.9%
Decimal Number 104
 
0.4%
Lowercase Letter 92
 
0.4%
Dash Punctuation 19
 
0.1%
Other Punctuation 17
 
0.1%
Other Symbol 13
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 1078
 
4.8%
이 747
 
3.4%
주 681
 
3.1%
리 605
 
2.7%
키 580
 
2.6%
즈 570
 
2.6%
스 514
 
2.3%
방 438
 
2.0%
드 347
 
1.6%
카 312
 
1.4%
Other values (634) 16422
73.7%
Uppercase Letter
ValueCountFrequency (%)
V 25
 
10.7%
R 24
 
10.3%
E 15
 
6.4%
L 15
 
6.4%
I 15
 
6.4%
N 12
 
5.2%
T 12
 
5.2%
K 11
 
4.7%
S 11
 
4.7%
A 10
 
4.3%
Other values (15) 83
35.6%
Lowercase Letter
ValueCountFrequency (%)
n 10
10.9%
a 10
10.9%
e 8
 
8.7%
d 8
 
8.7%
l 7
 
7.6%
o 7
 
7.6%
u 6
 
6.5%
r 5
 
5.4%
v 5
 
5.4%
m 4
 
4.3%
Other values (9) 22
23.9%
Decimal Number
ValueCountFrequency (%)
2 28
26.9%
4 14
13.5%
1 14
13.5%
3 11
 
10.6%
9 9
 
8.7%
0 9
 
8.7%
5 9
 
8.7%
6 5
 
4.8%
7 3
 
2.9%
8 2
 
1.9%
Other Punctuation
ValueCountFrequency (%)
. 9
52.9%
& 6
35.3%
, 2
 
11.8%
Space Separator
ValueCountFrequency (%)
1748
100.0%
Open Punctuation
ValueCountFrequency (%)
( 529
100.0%
Close Punctuation
ValueCountFrequency (%)
) 528
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 13
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22307
87.2%
Common 2951
 
11.5%
Latin 325
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 1078
 
4.8%
이 747
 
3.3%
주 681
 
3.1%
리 605
 
2.7%
키 580
 
2.6%
즈 570
 
2.6%
스 514
 
2.3%
방 438
 
2.0%
드 347
 
1.6%
카 312
 
1.4%
Other values (635) 16435
73.7%
Latin
ValueCountFrequency (%)
V 25
 
7.7%
R 24
 
7.4%
E 15
 
4.6%
L 15
 
4.6%
I 15
 
4.6%
N 12
 
3.7%
T 12
 
3.7%
K 11
 
3.4%
S 11
 
3.4%
n 10
 
3.1%
Other values (34) 175
53.8%
Common
ValueCountFrequency (%)
1748
59.2%
( 529
 
17.9%
) 528
 
17.9%
2 28
 
0.9%
- 19
 
0.6%
4 14
 
0.5%
1 14
 
0.5%
3 11
 
0.4%
. 9
 
0.3%
9 9
 
0.3%
Other values (8) 42
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22294
87.1%
ASCII 3276
 
12.8%
None 13
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1748
53.4%
( 529
 
16.1%
) 528
 
16.1%
2 28
 
0.9%
V 25
 
0.8%
R 24
 
0.7%
- 19
 
0.6%
E 15
 
0.5%
L 15
 
0.5%
I 15
 
0.5%
Other values (52) 330
 
10.1%
Hangul
ValueCountFrequency (%)
점 1078
 
4.8%
이 747
 
3.4%
주 681
 
3.1%
리 605
 
2.7%
키 580
 
2.6%
즈 570
 
2.6%
스 514
 
2.3%
방 438
 
2.0%
드 347
 
1.6%
카 312
 
1.4%
Other values (634) 16422
73.7%
None
ValueCountFrequency (%)
㈜ 13
100.0%

영업소기본주소
Text

Distinct2652
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Memory size23.2 KiB
2023-12-12T09:30:42.617788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length85
Median length48
Mean length19.389659
Min length7

Characters and Unicode

Total characters57374
Distinct characters464
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

Unique2424 ?
Unique (%)81.9%

Sample

1st row강원도 홍천군 서면 한치골길 262
2nd row경상북도 경주시 외동읍 영지로 636
3rd row제주특별자치도 서귀포시 안덕면 신화역사로304번길 38
4th row전라남도 나주시 남평읍 나주호로 442-129
5th row강원도 홍천군 서면 한치골길 264
ValueCountFrequency (%)
경기도 806
 
6.1%
서울특별시 344
 
2.6%
경상남도 191
 
1.4%
충청남도 165
 
1.3%
인천광역시 156
 
1.2%
경상북도 155
 
1.2%
부산광역시 144
 
1.1%
강원도 136
 
1.0%
충청북도 118
 
0.9%
전라남도 116
 
0.9%
Other values (3841) 10850
82.3%
2023-12-12T09:30:43.221327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10231
 
17.8%
시 2722
 
4.7%
로 2547
 
4.4%
1 2004
 
3.5%
도 1953
 
3.4%
구 1658
 
2.9%
2 1323
 
2.3%
경 1306
 
2.3%
3 1076
 
1.9%
길 944
 
1.6%
Other values (454) 31610
55.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36712
64.0%
Space Separator 10231
 
17.8%
Decimal Number 9651
 
16.8%
Dash Punctuation 436
 
0.8%
Open Punctuation 115
 
0.2%
Close Punctuation 115
 
0.2%
Other Punctuation 92
 
0.2%
Uppercase Letter 20
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 2722
 
7.4%
로 2547
 
6.9%
도 1953
 
5.3%
구 1658
 
4.5%
경 1306
 
3.6%
길 944
 
2.6%
기 918
 
2.5%
광 889
 
2.4%
남 870
 
2.4%
산 801
 
2.2%
Other values (431) 22104
60.2%
Decimal Number
ValueCountFrequency (%)
1 2004
20.8%
2 1323
13.7%
3 1076
11.1%
5 889
9.2%
4 887
9.2%
7 767
 
7.9%
6 737
 
7.6%
0 732
 
7.6%
8 626
 
6.5%
9 610
 
6.3%
Uppercase Letter
ValueCountFrequency (%)
E 5
25.0%
A 4
20.0%
P 4
20.0%
C 4
20.0%
B 2
 
10.0%
D 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 90
97.8%
. 2
 
2.2%
Space Separator
ValueCountFrequency (%)
10231
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 436
100.0%
Open Punctuation
ValueCountFrequency (%)
( 115
100.0%
Close Punctuation
ValueCountFrequency (%)
) 115
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36712
64.0%
Common 20642
36.0%
Latin 20
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 2722
 
7.4%
로 2547
 
6.9%
도 1953
 
5.3%
구 1658
 
4.5%
경 1306
 
3.6%
길 944
 
2.6%
기 918
 
2.5%
광 889
 
2.4%
남 870
 
2.4%
산 801
 
2.2%
Other values (431) 22104
60.2%
Common
ValueCountFrequency (%)
10231
49.6%
1 2004
 
9.7%
2 1323
 
6.4%
3 1076
 
5.2%
5 889
 
4.3%
4 887
 
4.3%
7 767
 
3.7%
6 737
 
3.6%
0 732
 
3.5%
8 626
 
3.0%
Other values (7) 1370
 
6.6%
Latin
ValueCountFrequency (%)
E 5
25.0%
A 4
20.0%
P 4
20.0%
C 4
20.0%
B 2
 
10.0%
D 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36712
64.0%
ASCII 20662
36.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10231
49.5%
1 2004
 
9.7%
2 1323
 
6.4%
3 1076
 
5.2%
5 889
 
4.3%
4 887
 
4.3%
7 767
 
3.7%
6 737
 
3.6%
0 732
 
3.5%
8 626
 
3.0%
Other values (13) 1390
 
6.7%
Hangul
ValueCountFrequency (%)
시 2722
 
7.4%
로 2547
 
6.9%
도 1953
 
5.3%
구 1658
 
4.5%
경 1306
 
3.6%
길 944
 
2.6%
기 918
 
2.5%
광 889
 
2.4%
남 870
 
2.4%
산 801
 
2.2%
Other values (431) 22104
60.2%

영업소상세주소
Text

MISSING 

Distinct1730
Distinct (%)74.9%
Missing648
Missing (%)21.9%
Memory size23.2 KiB
2023-12-12T09:30:43.539082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length32
Mean length8.1661618
Min length1

Characters and Unicode

Total characters18872
Distinct characters585
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1621 ?
Unique (%)70.1%

Sample

1st row골드레이크C.C
2nd row대명비발디파크
3rd row소노벨천안
4th row하이원 워터월드
5th row지번)생용동 산127-2
ValueCountFrequency (%)
2층 281
 
6.9%
3층 235
 
5.7%
4층 155
 
3.8%
1층 150
 
3.7%
5층 83
 
2.0%
홈플러스 59
 
1.4%
지하1층 55
 
1.3%
6층 51
 
1.2%
지하 48
 
1.2%
7층 46
 
1.1%
Other values (2081) 2929
71.6%
2023-12-12T09:30:43.986537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1785
 
9.5%
층 1306
 
6.9%
1 741
 
3.9%
2 673
 
3.6%
0 577
 
3.1%
동 573
 
3.0%
호 512
 
2.7%
3 495
 
2.6%
) 408
 
2.2%
( 407
 
2.2%
Other values (575) 11395
60.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12119
64.2%
Decimal Number 3455
 
18.3%
Space Separator 1785
 
9.5%
Close Punctuation 408
 
2.2%
Open Punctuation 407
 
2.2%
Uppercase Letter 292
 
1.5%
Other Punctuation 235
 
1.2%
Dash Punctuation 99
 
0.5%
Lowercase Letter 41
 
0.2%
Math Symbol 25
 
0.1%
Other values (5) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
층 1306
 
10.8%
동 573
 
4.7%
호 512
 
4.2%
스 288
 
2.4%
빌 255
 
2.1%
지 236
 
1.9%
딩 234
 
1.9%
라 205
 
1.7%
트 197
 
1.6%
아 191
 
1.6%
Other values (504) 8122
67.0%
Uppercase Letter
ValueCountFrequency (%)
B 58
19.9%
A 27
 
9.2%
C 25
 
8.6%
S 19
 
6.5%
K 18
 
6.2%
E 13
 
4.5%
L 12
 
4.1%
F 11
 
3.8%
N 11
 
3.8%
T 10
 
3.4%
Other values (15) 88
30.1%
Lowercase Letter
ValueCountFrequency (%)
b 6
14.6%
e 6
14.6%
a 3
 
7.3%
y 3
 
7.3%
x 2
 
4.9%
s 2
 
4.9%
r 2
 
4.9%
v 2
 
4.9%
m 2
 
4.9%
n 2
 
4.9%
Other values (8) 11
26.8%
Decimal Number
ValueCountFrequency (%)
1 741
21.4%
2 673
19.5%
0 577
16.7%
3 495
14.3%
4 331
9.6%
5 220
 
6.4%
6 149
 
4.3%
7 121
 
3.5%
8 89
 
2.6%
9 59
 
1.7%
Other Punctuation
ValueCountFrequency (%)
, 225
95.7%
. 5
 
2.1%
: 1
 
0.4%
# 1
 
0.4%
& 1
 
0.4%
@ 1
 
0.4%
/ 1
 
0.4%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅲ 1
50.0%
Space Separator
ValueCountFrequency (%)
1785
100.0%
Close Punctuation
ValueCountFrequency (%)
) 408
100.0%
Open Punctuation
ValueCountFrequency (%)
( 407
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 99
100.0%
Math Symbol
ValueCountFrequency (%)
~ 25
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
” 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12119
64.2%
Common 6417
34.0%
Latin 335
 
1.8%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
층 1306
 
10.8%
동 573
 
4.7%
호 512
 
4.2%
스 288
 
2.4%
빌 255
 
2.1%
지 236
 
1.9%
딩 234
 
1.9%
라 205
 
1.7%
트 197
 
1.6%
아 191
 
1.6%
Other values (504) 8122
67.0%
Latin
ValueCountFrequency (%)
B 58
17.3%
A 27
 
8.1%
C 25
 
7.5%
S 19
 
5.7%
K 18
 
5.4%
E 13
 
3.9%
L 12
 
3.6%
F 11
 
3.3%
N 11
 
3.3%
T 10
 
3.0%
Other values (35) 131
39.1%
Common
ValueCountFrequency (%)
1785
27.8%
1 741
11.5%
2 673
 
10.5%
0 577
 
9.0%
3 495
 
7.7%
) 408
 
6.4%
( 407
 
6.3%
4 331
 
5.2%
, 225
 
3.5%
5 220
 
3.4%
Other values (15) 555
 
8.6%
Han
ValueCountFrequency (%)
氣 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12116
64.2%
ASCII 6748
35.8%
Punctuation 2
 
< 0.1%
Number Forms 2
 
< 0.1%
Compat Jamo 2
 
< 0.1%
None 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1785
26.5%
1 741
11.0%
2 673
 
10.0%
0 577
 
8.6%
3 495
 
7.3%
) 408
 
6.0%
( 407
 
6.0%
4 331
 
4.9%
, 225
 
3.3%
5 220
 
3.3%
Other values (56) 886
13.1%
Hangul
ValueCountFrequency (%)
층 1306
 
10.8%
동 573
 
4.7%
호 512
 
4.2%
스 288
 
2.4%
빌 255
 
2.1%
지 236
 
1.9%
딩 234
 
1.9%
라 205
 
1.7%
트 197
 
1.6%
아 191
 
1.6%
Other values (501) 8119
67.0%
Punctuation
ValueCountFrequency (%)
“ 1
50.0%
” 1
50.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅲ 1
50.0%
Compat Jamo
ValueCountFrequency (%)
ㅊ 1
50.0%
ㅇ 1
50.0%
CJK
ValueCountFrequency (%)
氣 1
100.0%

영업소상태
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.2 KiB
정상
2308 
폐업
558 
휴업
 
93

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row정상
2nd row정상
3rd row정상
4th row정상
5th row휴업

Common Values

ValueCountFrequency (%)
정상 2308
78.0%
폐업 558
 
18.9%
휴업 93
 
3.1%

Length

2023-12-12T09:30:44.121136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:30:44.223846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 2308
78.0%
폐업 558
 
18.9%
휴업 93
 
3.1%

폐업일자
Date

MISSING 

Distinct350
Distinct (%)67.8%
Missing2443
Missing (%)82.6%
Memory size23.2 KiB
Minimum2010-07-09 00:00:00
Maximum2020-05-31 00:00:00
2023-12-12T09:30:44.349640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:30:44.494162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

관할지자체
Text

Distinct811
Distinct (%)27.4%
Missing0
Missing (%)0.0%
Memory size23.2 KiB
2023-12-12T09:30:44.801536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length6.4893545
Min length2

Characters and Unicode

Total characters19202
Distinct characters177
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique283 ?
Unique (%)9.6%

Sample

1st row강원 홍천군
2nd row경주시청
3rd row제주 서귀포시
4th row전남 나주시
5th row홍천군청 관광과
ValueCountFrequency (%)
경기 338
 
6.2%
경기도 231
 
4.3%
서울 114
 
2.1%
서울특별시 87
 
1.6%
경남 84
 
1.5%
강원 78
 
1.4%
대구 78
 
1.4%
부산 71
 
1.3%
충남 70
 
1.3%
인천 66
 
1.2%
Other values (491) 4211
77.6%
2023-12-12T09:30:45.244107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2470
 
12.9%
시 1958
 
10.2%
구 1421
 
7.4%
청 1048
 
5.5%
경 888
 
4.6%
기 608
 
3.2%
남 541
 
2.8%
도 540
 
2.8%
주 539
 
2.8%
산 507
 
2.6%
Other values (167) 8682
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16704
87.0%
Space Separator 2470
 
12.9%
Decimal Number 25
 
0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1958
 
11.7%
구 1421
 
8.5%
청 1048
 
6.3%
경 888
 
5.3%
기 608
 
3.6%
남 541
 
3.2%
도 540
 
3.2%
주 539
 
3.2%
산 507
 
3.0%
서 460
 
2.8%
Other values (156) 8194
49.1%
Decimal Number
ValueCountFrequency (%)
0 5
20.0%
2 5
20.0%
1 5
20.0%
9 4
16.0%
7 2
 
8.0%
8 1
 
4.0%
5 1
 
4.0%
3 1
 
4.0%
6 1
 
4.0%
Space Separator
ValueCountFrequency (%)
2470
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16704
87.0%
Common 2498
 
13.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1958
 
11.7%
구 1421
 
8.5%
청 1048
 
6.3%
경 888
 
5.3%
기 608
 
3.6%
남 541
 
3.2%
도 540
 
3.2%
주 539
 
3.2%
산 507
 
3.0%
서 460
 
2.8%
Other values (156) 8194
49.1%
Common
ValueCountFrequency (%)
2470
98.9%
0 5
 
0.2%
2 5
 
0.2%
1 5
 
0.2%
9 4
 
0.2%
- 3
 
0.1%
7 2
 
0.1%
8 1
 
< 0.1%
5 1
 
< 0.1%
3 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16704
87.0%
ASCII 2498
 
13.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2470
98.9%
0 5
 
0.2%
2 5
 
0.2%
1 5
 
0.2%
9 4
 
0.2%
- 3
 
0.1%
7 2
 
0.1%
8 1
 
< 0.1%
5 1
 
< 0.1%
3 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
시 1958
 
11.7%
구 1421
 
8.5%
청 1048
 
6.3%
경 888
 
5.3%
기 608
 
3.6%
남 541
 
3.2%
도 540
 
3.2%
주 539
 
3.2%
산 507
 
3.0%
서 460
 
2.8%
Other values (156) 8194
49.1%

물놀이시설여부
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.2 KiB
비대상
2629 
대상
330 

Length

Max length3
Median length3
Mean length2.8884758
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대상
2nd row대상
3rd row대상
4th row대상
5th row대상

Common Values

ValueCountFrequency (%)
비대상 2629
88.8%
대상 330
 
11.2%

Length

2023-12-12T09:30:45.399697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:30:45.538034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비대상 2629
88.8%
대상 330
 
11.2%

Interactions

2023-12-12T09:30:36.560766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:30:45.594507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호유원시설업종류영업소상태물놀이시설여부
번호1.0000.8060.6860.644
유원시설업종류0.8061.0000.4850.271
영업소상태0.6860.4851.0000.172
물놀이시설여부0.6440.2710.1721.000
2023-12-12T09:30:45.703685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유원시설업종류물놀이시설여부영업소상태
유원시설업종류1.0000.4390.194
물놀이시설여부0.4391.0000.283
영업소상태0.1940.2831.000
2023-12-12T09:30:45.820913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호유원시설업종류영업소상태물놀이시설여부
번호1.0000.6990.5390.499
유원시설업종류0.6991.0000.1940.439
영업소상태0.5390.1941.0000.283
물놀이시설여부0.4990.4390.2831.000

Missing values

2023-12-12T09:30:36.663105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:30:36.804906image/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.
2023-12-12T09:30:36.914545image/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

번호유원시설업종류업체명업체기본주소업체상세주소전화번호영업소명영업소기본주소영업소상세주소영업소상태폐업일자관할지자체물놀이시설여부
01종합(주)대명레저산업강원도 홍천군 서면 한치골길 262<NA>033-439-7951오션월드강원도 홍천군 서면 한치골길 262<NA>정상<NA>강원 홍천군대상
12종합(주)성호리조트-주식회사 이지데코경상북도 경주시 외동읍 영지로 636<NA>054-745-5100(주)성호리조트-주식회사 이지데코경상북도 경주시 외동읍 영지로 636<NA>정상<NA>경주시청대상
23종합람정제주개발 주식회사제주특별자치도 서귀포시 안덕면 녹차분재로 217<NA>064-908-3893신화테마파크제주특별자치도 서귀포시 안덕면 신화역사로304번길 38<NA>정상<NA>제주 서귀포시대상
34종합나주관광개발(주)전라남도 나주시 나평읍 나주호로 442-129<NA>061-339-5040중흥골드스파&리조트전라남도 나주시 남평읍 나주호로 442-129골드레이크C.C정상<NA>전남 나주시대상
45종합(주)대명티피앤이강원도 홍천군 서면 한치골길 264대명비발디파크033-439-8355(주)대명티피앤이강원도 홍천군 서면 한치골길 264대명비발디파크휴업<NA>홍천군청 관광과대상
56종합일상해양산업(주)전남 여수시 소호로 295(소호동)<NA>1588-0377디오션리조트전남 여수시 소호로 295(소호동)<NA>휴업<NA>전남 여수시대상
67종합주식회사 대명레저충청남도 천안시 동남구 성남면 종합휴양지로200041-901-8055소노벨 천안충청남도 천안시 동남구 성남면 종합휴양지로 200소노벨천안정상<NA>충남 천안시 동남구대상
78종합삼성물산(주)에버랜드리조트경기도 용인시 처인구 포곡읍 에버랜드 1990031-320-8421캐리비안베이경기도 용인시 처인구 포곡읍 에버랜드로 199<NA>휴업<NA>경기 용인시 처인구대상
89종합(주)웅진플레이도시경기도 부천시 원미구 상동 572-1<NA>032-310-8110(주)웅진플레이도시경기도 부천시 조마루로 2<NA>휴업<NA>경기 부천시대상
910종합(주)이월드대구광역시 달서구 두류공원로 200 (두류동)<NA>053-620-0170(주)이월드대구광역시 달서구 두류공원로 200 (두류동)<NA>휴업<NA>대구 달서구비대상
번호유원시설업종류업체명업체기본주소업체상세주소전화번호영업소명영업소기본주소영업소상세주소영업소상태폐업일자관할지자체물놀이시설여부
29492950기타맥스라이더 신내점서울특별시 중랑구 신내로 201홈플러스서울신내점 1층<NA>맥스라이더 신내점서울특별시 중랑구 신내로 201홈플러스서울신내점 1층정상<NA>서울 중랑구비대상
29502951기타맥스라이더 홈플러스방학점서울특별시 도봉구 도봉로 678홈플러스데스코㈜방학점 B2층 x2y9호 맥스라이더<NA>맥스라이더 홈플러스방학점서울특별시 도봉구 도봉로 678홈플러스데스코㈜방학점 B2층 x2y9호 맥스라이더정상<NA>서울 도봉구비대상
29512952기타(주)스코넥엔터테인먼트서울특별시 강남구 선릉로 577조선내화빌딩 9층02-458-3742브이알스퀘어 마포서울특별시 마포구 어울마당로 684,5층정상<NA>서울 마포구비대상
29522953기타우리동네놀이터경상남도 밀양시 미리벌로2길 37103호<NA>우리동네놀이터경상남도 밀양시 미리벌로2길 37103호정상<NA>경상남도 밀양시비대상
29532954기타우리동네놀이터경상남도 창원시 성산구 마디미로37번길 11105호 (상남동, 렉스타운)<NA>우리동네놀이터경상남도 창원시 성산구 마디미로37번길 11105호 (상남동, 렉스타운)정상<NA>경상남도 창원시 성산구비대상
29542955기타맥스라이더 동촌대구광역시 동구 동촌로 127홈플러스053-985-9850맥스라이더 동촌 (대구 동구)대구광역시 동구 동촌로 127홈플러스 1층정상<NA>대구 동구비대상
29552956기타맥스라이더 칠성점대구광역시 북구 중앙대로 543Homeplus 대구칠성점 2층<NA>맥스라이더 칠성점대구광역시 북구 중앙대로 543Homeplus 대구칠성점 2층정상<NA>대구 북구비대상
29562957기타야사노 창동점경상남도 창원시 마산합포구 동서북10길 642층3층 (창동)<NA>야사노 창동점경상남도 창원시 마산합포구 동서북10길 642층3층 (창동)정상<NA>경상남도 창원시 마산합포구비대상
29572958기타청주홈플러스성안점 맥스라이더충청북도 청주시 상당구 사직대로 3461층x4y7호<NA>청주홈플러스성안점 맥스라이더충청북도 청주시 상당구 사직대로 3461층x4y7호정상<NA>충북 청주시 상당구비대상
29582959기타롯데마트 김포한강점 플레이타임경기도 김포시 김포한강2로 41지하 1층<NA>플레이타임 김포한강점경기도 김포시 김포한강2로 41지하1층정상<NA>경기 김포시비대상