Overview

Dataset statistics

Number of variables10
Number of observations2210
Missing cells3987
Missing cells (%)18.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory177.1 KiB
Average record size in memory82.1 B

Variable types

Numeric2
Categorical2
Text3
DateTime3

Dataset

Description국내 종합, 일반, 기타유원시설업 영업소 정보입니다.
Author한국관광공사
URLhttps://www.data.go.kr/data/15091145/fileData.do

Alerts

번호 is highly overall correlated with 유원시설업종류High correlation
유원시설업종류 is highly overall correlated with 번호High correlation
유원시설업종류 is highly imbalanced (53.7%)Imbalance
영업소상태 is highly imbalanced (66.6%)Imbalance
상세주소 has 100 (4.5%) missing valuesMissing
허가일자(종합/일반) has 1847 (83.6%) missing valuesMissing
신고일자(기타) has 370 (16.7%) missing valuesMissing
기타유원시설업 안전교육수료일('20.5월 이후) has 1669 (75.5%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:43:41.027402
Analysis finished2023-12-12 19:43:43.371452
Duration2.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct2210
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1105.5
Minimum1
Maximum2210
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.6 KiB
2023-12-13T04:43:43.459446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile111.45
Q1553.25
median1105.5
Q31657.75
95-th percentile2099.55
Maximum2210
Range2209
Interquartile range (IQR)1104.5

Descriptive statistics

Standard deviation638.11637
Coefficient of variation (CV)0.57721969
Kurtosis-1.2
Mean1105.5
Median Absolute Deviation (MAD)552.5
Skewness0
Sum2443155
Variance407192.5
MonotonicityStrictly increasing
2023-12-13T04:43:43.654779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1477 1
 
< 0.1%
1471 1
 
< 0.1%
1472 1
 
< 0.1%
1473 1
 
< 0.1%
1474 1
 
< 0.1%
1475 1
 
< 0.1%
1476 1
 
< 0.1%
1478 1
 
< 0.1%
1486 1
 
< 0.1%
Other values (2200) 2200
99.5%
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 (%)
2210 1
< 0.1%
2209 1
< 0.1%
2208 1
< 0.1%
2207 1
< 0.1%
2206 1
< 0.1%
2205 1
< 0.1%
2204 1
< 0.1%
2203 1
< 0.1%
2202 1
< 0.1%
2201 1
< 0.1%

유원시설업종류
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.4 KiB
기타
1847 
일반
317 
종합
 
46

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 1847
83.6%
일반 317
 
14.3%
종합 46
 
2.1%

Length

2023-12-13T04:43:43.805172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:43:43.939808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 1847
83.6%
일반 317
 
14.3%
종합 46
 
2.1%

영업소명
Text

Distinct2070
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size17.4 KiB
2023-12-13T04:43:44.339956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length26
Mean length8.3904977
Min length2

Characters and Unicode

Total characters18543
Distinct characters668
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

Unique1985 ?
Unique (%)89.8%

Sample

1st row가야랜드
2nd row경주월드
3rd row(주)스파밸리
4th row블루원 워터파크
5th row피크아일랜드 워터파크
ValueCountFrequency (%)
키즈카페 89
 
2.6%
주식회사 61
 
1.8%
노리파크 44
 
1.3%
헬로방방 30
 
0.9%
타요키즈카페 26
 
0.8%
점프노리 23
 
0.7%
쁘띠몽드 19
 
0.6%
킹콩점프 18
 
0.5%
홈플러스 17
 
0.5%
리틀비틀 17
 
0.5%
Other values (2367) 3087
90.0%
2023-12-13T04:43:44.962977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1225
 
6.6%
점 804
 
4.3%
이 517
 
2.8%
키 471
 
2.5%
즈 459
 
2.5%
리 448
 
2.4%
스 391
 
2.1%
주 361
 
1.9%
방 344
 
1.9%
드 317
 
1.7%
Other values (658) 13206
71.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16222
87.5%
Space Separator 1225
 
6.6%
Close Punctuation 297
 
1.6%
Open Punctuation 297
 
1.6%
Uppercase Letter 260
 
1.4%
Lowercase Letter 100
 
0.5%
Decimal Number 84
 
0.5%
Other Punctuation 27
 
0.1%
Other Symbol 22
 
0.1%
Dash Punctuation 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 804
 
5.0%
이 517
 
3.2%
키 471
 
2.9%
즈 459
 
2.8%
리 448
 
2.8%
스 391
 
2.4%
주 361
 
2.2%
방 344
 
2.1%
드 317
 
2.0%
카 289
 
1.8%
Other values (597) 11821
72.9%
Uppercase Letter
ValueCountFrequency (%)
V 33
 
12.7%
R 31
 
11.9%
E 20
 
7.7%
N 18
 
6.9%
K 18
 
6.9%
I 14
 
5.4%
O 13
 
5.0%
C 10
 
3.8%
G 10
 
3.8%
S 10
 
3.8%
Other values (14) 83
31.9%
Lowercase Letter
ValueCountFrequency (%)
e 16
16.0%
o 14
14.0%
c 12
12.0%
m 12
12.0%
d 7
7.0%
t 7
7.0%
a 6
 
6.0%
r 5
 
5.0%
n 4
 
4.0%
l 3
 
3.0%
Other values (7) 14
14.0%
Decimal Number
ValueCountFrequency (%)
2 26
31.0%
1 14
16.7%
5 10
 
11.9%
4 10
 
11.9%
0 9
 
10.7%
9 7
 
8.3%
3 4
 
4.8%
8 2
 
2.4%
6 1
 
1.2%
7 1
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 13
48.1%
& 8
29.6%
, 5
 
18.5%
＆ 1
 
3.7%
Space Separator
ValueCountFrequency (%)
1225
100.0%
Close Punctuation
ValueCountFrequency (%)
) 297
100.0%
Open Punctuation
ValueCountFrequency (%)
( 297
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16244
87.6%
Common 1939
 
10.5%
Latin 360
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 804
 
4.9%
이 517
 
3.2%
키 471
 
2.9%
즈 459
 
2.8%
리 448
 
2.8%
스 391
 
2.4%
주 361
 
2.2%
방 344
 
2.1%
드 317
 
2.0%
카 289
 
1.8%
Other values (598) 11843
72.9%
Latin
ValueCountFrequency (%)
V 33
 
9.2%
R 31
 
8.6%
E 20
 
5.6%
N 18
 
5.0%
K 18
 
5.0%
e 16
 
4.4%
I 14
 
3.9%
o 14
 
3.9%
O 13
 
3.6%
c 12
 
3.3%
Other values (31) 171
47.5%
Common
ValueCountFrequency (%)
1225
63.2%
) 297
 
15.3%
( 297
 
15.3%
2 26
 
1.3%
1 14
 
0.7%
. 13
 
0.7%
5 10
 
0.5%
4 10
 
0.5%
0 9
 
0.5%
& 8
 
0.4%
Other values (9) 30
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16222
87.5%
ASCII 2298
 
12.4%
None 23
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1225
53.3%
) 297
 
12.9%
( 297
 
12.9%
V 33
 
1.4%
R 31
 
1.3%
2 26
 
1.1%
E 20
 
0.9%
N 18
 
0.8%
K 18
 
0.8%
e 16
 
0.7%
Other values (49) 317
 
13.8%
Hangul
ValueCountFrequency (%)
점 804
 
5.0%
이 517
 
3.2%
키 471
 
2.9%
즈 459
 
2.8%
리 448
 
2.8%
스 391
 
2.4%
주 361
 
2.2%
방 344
 
2.1%
드 317
 
2.0%
카 289
 
1.8%
Other values (597) 11821
72.9%
None
ValueCountFrequency (%)
㈜ 22
95.7%
＆ 1
 
4.3%

우편번호
Real number (ℝ)

Distinct1728
Distinct (%)78.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30723.424
Minimum1041
Maximum63642
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.6 KiB
2023-12-13T04:43:45.180669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1041
5-th percentile5638.5
Q114592
median28169
Q346726
95-th percentile61089.2
Maximum63642
Range62601
Interquartile range (IQR)32134

Descriptive statistics

Standard deviation17791.778
Coefficient of variation (CV)0.57909492
Kurtosis-1.1812852
Mean30723.424
Median Absolute Deviation (MAD)15227
Skewness0.24871772
Sum67898766
Variance3.1654738 × 108
MonotonicityNot monotonic
2023-12-13T04:43:45.351570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22303 12
 
0.5%
10071 9
 
0.4%
11813 6
 
0.3%
46015 6
 
0.3%
46726 6
 
0.3%
35382 6
 
0.3%
25263 6
 
0.3%
10090 6
 
0.3%
7505 6
 
0.3%
25102 6
 
0.3%
Other values (1718) 2141
96.9%
ValueCountFrequency (%)
1041 2
0.1%
1179 1
< 0.1%
1193 1
< 0.1%
1196 1
< 0.1%
1215 2
0.1%
1226 1
< 0.1%
1334 1
< 0.1%
1335 1
< 0.1%
1389 1
< 0.1%
1456 1
< 0.1%
ValueCountFrequency (%)
63642 1
< 0.1%
63641 1
< 0.1%
63625 1
< 0.1%
63621 1
< 0.1%
63620 2
0.1%
63604 1
< 0.1%
63587 1
< 0.1%
63586 1
< 0.1%
63585 1
< 0.1%
63582 1
< 0.1%

기본주소
Text

Distinct2065
Distinct (%)93.5%
Missing1
Missing (%)< 0.1%
Memory size17.4 KiB
2023-12-13T04:43:45.804269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length85
Median length41
Mean length19.506111
Min length7

Characters and Unicode

Total characters43089
Distinct characters431
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

Unique1955 ?
Unique (%)88.5%

Sample

1st row경남 김해시 인제로 368 (삼방동)
2nd row경주시 보문로 544(천군동)
3rd row대구광역시 달성군 가창면 가창로 891
4th row경주시 보불로 391(천군동)
5th row강원도 평창군 대관령면 올림픽로 715
ValueCountFrequency (%)
경기도 588
 
6.0%
서울특별시 204
 
2.1%
경상남도 156
 
1.6%
경상북도 139
 
1.4%
충청남도 132
 
1.3%
인천광역시 122
 
1.2%
충청북도 115
 
1.2%
부산광역시 105
 
1.1%
강원도 105
 
1.1%
전라남도 91
 
0.9%
Other values (3232) 8117
82.2%
2023-12-13T04:43:46.478750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7671
 
17.8%
시 2016
 
4.7%
로 1883
 
4.4%
도 1560
 
3.6%
1 1519
 
3.5%
구 1134
 
2.6%
2 1020
 
2.4%
경 1000
 
2.3%
3 804
 
1.9%
길 740
 
1.7%
Other values (421) 23742
55.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27525
63.9%
Space Separator 7671
 
17.8%
Decimal Number 7318
 
17.0%
Dash Punctuation 366
 
0.8%
Open Punctuation 74
 
0.2%
Close Punctuation 74
 
0.2%
Other Punctuation 53
 
0.1%
Uppercase Letter 6
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 2016
 
7.3%
로 1883
 
6.8%
도 1560
 
5.7%
구 1134
 
4.1%
경 1000
 
3.6%
길 740
 
2.7%
기 668
 
2.4%
남 659
 
2.4%
광 624
 
2.3%
산 609
 
2.2%
Other values (399) 16632
60.4%
Decimal Number
ValueCountFrequency (%)
1 1519
20.8%
2 1020
13.9%
3 804
11.0%
5 668
9.1%
4 662
9.0%
7 585
 
8.0%
0 558
 
7.6%
6 540
 
7.4%
8 518
 
7.1%
9 444
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
E 2
33.3%
P 1
16.7%
A 1
16.7%
C 1
16.7%
D 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 52
98.1%
. 1
 
1.9%
Space Separator
ValueCountFrequency (%)
7671
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 366
100.0%
Open Punctuation
ValueCountFrequency (%)
( 74
100.0%
Close Punctuation
ValueCountFrequency (%)
) 74
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27525
63.9%
Common 15558
36.1%
Latin 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 2016
 
7.3%
로 1883
 
6.8%
도 1560
 
5.7%
구 1134
 
4.1%
경 1000
 
3.6%
길 740
 
2.7%
기 668
 
2.4%
남 659
 
2.4%
광 624
 
2.3%
산 609
 
2.2%
Other values (399) 16632
60.4%
Common
ValueCountFrequency (%)
7671
49.3%
1 1519
 
9.8%
2 1020
 
6.6%
3 804
 
5.2%
5 668
 
4.3%
4 662
 
4.3%
7 585
 
3.8%
0 558
 
3.6%
6 540
 
3.5%
8 518
 
3.3%
Other values (7) 1013
 
6.5%
Latin
ValueCountFrequency (%)
E 2
33.3%
P 1
16.7%
A 1
16.7%
C 1
16.7%
D 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27525
63.9%
ASCII 15564
36.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7671
49.3%
1 1519
 
9.8%
2 1020
 
6.6%
3 804
 
5.2%
5 668
 
4.3%
4 662
 
4.3%
7 585
 
3.8%
0 558
 
3.6%
6 540
 
3.5%
8 518
 
3.3%
Other values (12) 1019
 
6.5%
Hangul
ValueCountFrequency (%)
시 2016
 
7.3%
로 1883
 
6.8%
도 1560
 
5.7%
구 1134
 
4.1%
경 1000
 
3.6%
길 740
 
2.7%
기 668
 
2.4%
남 659
 
2.4%
광 624
 
2.3%
산 609
 
2.2%
Other values (399) 16632
60.4%

상세주소
Text

MISSING 

Distinct1369
Distinct (%)64.9%
Missing100
Missing (%)4.5%
Memory size17.4 KiB
2023-12-13T04:43:46.783648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length29
Mean length7.264455
Min length1

Characters and Unicode

Total characters15328
Distinct characters555
Distinct categories14 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1301 ?
Unique (%)61.7%

Sample

1st row.
2nd row.
3rd row1층
4th row-
5th row.
ValueCountFrequency (%)
312
 
8.9%
2층 205
 
5.8%
3층 170
 
4.8%
4층 129
 
3.7%
1층 92
 
2.6%
5층 64
 
1.8%
지하1층 51
 
1.5%
7층 47
 
1.3%
6층 43
 
1.2%
홈플러스 40
 
1.1%
Other values (1750) 2362
67.2%
2023-12-13T04:43:47.299842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1413
 
9.2%
층 1008
 
6.6%
1 577
 
3.8%
2 515
 
3.4%
0 513
 
3.3%
호 465
 
3.0%
3 392
 
2.6%
동 375
 
2.4%
4 281
 
1.8%
) 259
 
1.7%
Other values (545) 9530
62.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9665
63.1%
Decimal Number 2860
 
18.7%
Space Separator 1413
 
9.2%
Other Punctuation 330
 
2.2%
Close Punctuation 259
 
1.7%
Open Punctuation 258
 
1.7%
Dash Punctuation 243
 
1.6%
Uppercase Letter 237
 
1.5%
Math Symbol 31
 
0.2%
Lowercase Letter 24
 
0.2%
Other values (4) 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
층 1008
 
10.4%
호 465
 
4.8%
동 375
 
3.9%
스 226
 
2.3%
지 189
 
2.0%
라 186
 
1.9%
빌 168
 
1.7%
프 167
 
1.7%
아 154
 
1.6%
자 154
 
1.6%
Other values (483) 6573
68.0%
Uppercase Letter
ValueCountFrequency (%)
B 36
15.2%
A 23
 
9.7%
C 19
 
8.0%
E 14
 
5.9%
L 12
 
5.1%
S 12
 
5.1%
T 11
 
4.6%
R 10
 
4.2%
N 10
 
4.2%
K 9
 
3.8%
Other values (16) 81
34.2%
Lowercase Letter
ValueCountFrequency (%)
b 6
25.0%
e 5
20.8%
c 3
12.5%
h 2
 
8.3%
a 2
 
8.3%
y 1
 
4.2%
l 1
 
4.2%
v 1
 
4.2%
r 1
 
4.2%
x 1
 
4.2%
Decimal Number
ValueCountFrequency (%)
1 577
20.2%
2 515
18.0%
0 513
17.9%
3 392
13.7%
4 281
9.8%
5 191
 
6.7%
6 147
 
5.1%
7 132
 
4.6%
8 59
 
2.1%
9 53
 
1.9%
Other Punctuation
ValueCountFrequency (%)
, 187
56.7%
. 139
42.1%
& 2
 
0.6%
@ 1
 
0.3%
# 1
 
0.3%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
50.0%
Ⅲ 2
50.0%
Space Separator
ValueCountFrequency (%)
1413
100.0%
Close Punctuation
ValueCountFrequency (%)
) 259
100.0%
Open Punctuation
ValueCountFrequency (%)
( 258
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 243
100.0%
Math Symbol
ValueCountFrequency (%)
~ 31
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
” 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9667
63.1%
Common 5396
35.2%
Latin 265
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
층 1008
 
10.4%
호 465
 
4.8%
동 375
 
3.9%
스 226
 
2.3%
지 189
 
2.0%
라 186
 
1.9%
빌 168
 
1.7%
프 167
 
1.7%
아 154
 
1.6%
자 154
 
1.6%
Other values (484) 6575
68.0%
Latin
ValueCountFrequency (%)
B 36
 
13.6%
A 23
 
8.7%
C 19
 
7.2%
E 14
 
5.3%
L 12
 
4.5%
S 12
 
4.5%
T 11
 
4.2%
R 10
 
3.8%
N 10
 
3.8%
K 9
 
3.4%
Other values (29) 109
41.1%
Common
ValueCountFrequency (%)
1413
26.2%
1 577
10.7%
2 515
 
9.5%
0 513
 
9.5%
3 392
 
7.3%
4 281
 
5.2%
) 259
 
4.8%
( 258
 
4.8%
- 243
 
4.5%
5 191
 
3.5%
Other values (12) 754
14.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9665
63.1%
ASCII 5655
36.9%
Number Forms 4
 
< 0.1%
None 2
 
< 0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1413
25.0%
1 577
10.2%
2 515
 
9.1%
0 513
 
9.1%
3 392
 
6.9%
4 281
 
5.0%
) 259
 
4.6%
( 258
 
4.6%
- 243
 
4.3%
5 191
 
3.4%
Other values (47) 1013
17.9%
Hangul
ValueCountFrequency (%)
층 1008
 
10.4%
호 465
 
4.8%
동 375
 
3.9%
스 226
 
2.3%
지 189
 
2.0%
라 186
 
1.9%
빌 168
 
1.7%
프 167
 
1.7%
아 154
 
1.6%
자 154
 
1.6%
Other values (483) 6573
68.0%
None
ValueCountFrequency (%)
㈜ 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
50.0%
Ⅲ 2
50.0%
Punctuation
ValueCountFrequency (%)
“ 1
50.0%
” 1
50.0%

영업소상태
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.4 KiB
정상
2074 
휴업
 
136

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 2074
93.8%
휴업 136
 
6.2%

Length

2023-12-13T04:43:47.456233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:43:47.583789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 2074
93.8%
휴업 136
 
6.2%

허가일자(종합/일반)
Date

MISSING 

Distinct328
Distinct (%)90.4%
Missing1847
Missing (%)83.6%
Memory size17.4 KiB
Minimum1976-04-17 00:00:00
Maximum2021-07-27 00:00:00
2023-12-13T04:43:47.715092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:43:47.873000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

신고일자(기타)
Date

MISSING 

Distinct1037
Distinct (%)56.4%
Missing370
Missing (%)16.7%
Memory size17.4 KiB
Minimum1999-07-08 00:00:00
Maximum2021-08-31 00:00:00
2023-12-13T04:43:48.087479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:43:48.312737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

기타유원시설업 안전교육수료일('20.5월 이후)
Date

MISSING 

Distinct252
Distinct (%)46.6%
Missing1669
Missing (%)75.5%
Memory size17.4 KiB
Minimum2020-05-20 00:00:00
Maximum2021-09-15 00:00:00
2023-12-13T04:43:48.511802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:43:48.721872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-13T04:43:42.317452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:43:42.110327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:43:42.432698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:43:42.206768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:43:48.819139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호유원시설업종류우편번호영업소상태
번호1.0000.7860.8740.334
유원시설업종류0.7861.0000.1860.178
우편번호0.8740.1861.0000.035
영업소상태0.3340.1780.0351.000
2023-12-13T04:43:48.940716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유원시설업종류영업소상태
유원시설업종류1.0000.293
영업소상태0.2931.000
2023-12-13T04:43:49.057289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호우편번호유원시설업종류영업소상태
번호1.0000.1460.6700.256
우편번호0.1461.0000.1120.027
유원시설업종류0.6700.1121.0000.293
영업소상태0.2560.0270.2931.000

Missing values

2023-12-13T04:43:42.885678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:43:43.125051image/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.
2023-12-13T04:43:43.284536image/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

번호유원시설업종류영업소명우편번호기본주소상세주소영업소상태허가일자(종합/일반)신고일자(기타)기타유원시설업 안전교육수료일('20.5월 이후)
01종합가야랜드50811경남 김해시 인제로 368 (삼방동).정상1991-10-05<NA><NA>
12종합경주월드38117경주시 보문로 544(천군동).정상2008-01-08<NA><NA>
23종합(주)스파밸리42938대구광역시 달성군 가창면 가창로 8911층정상2003-07-01<NA><NA>
34종합블루원 워터파크38118경주시 보불로 391(천군동)-정상2011-06-17<NA><NA>
45종합피크아일랜드 워터파크25352강원도 평창군 대관령면 올림픽로 715.정상2008-07-03<NA><NA>
56종합롯데워터파크51011경남 김해시 장유로 555 (신문동)-정상2014-05-01<NA><NA>
67종합설악워터피아24801강원도 속초시 미시령로2983번길 111설악워터피아정상2017-04-10<NA><NA>
78종합웰리힐리파크 워터플래닛25263강원도 횡성군 둔내면 고원로 451웰리힐리파크정상2020-07-23<NA><NA>
89종합오션700워터파크25351강원도 평창군 대관령면 솔봉로 325오션700워터파크정상2010-07-20<NA><NA>
910종합모노리스제주파크(9.81파크)63038제주특별자치도 제주시 애월읍 천덕로 880-24-정상2019-04-01<NA><NA>
번호유원시설업종류영업소명우편번호기본주소상세주소영업소상태허가일자(종합/일반)신고일자(기타)기타유원시설업 안전교육수료일('20.5월 이후)
22002201기타신나는 꾸러기 방방27372충청북도 충주시 국원초4길 191층휴업<NA>2019-04-242021-04-23
22012202기타스마일 방방27354충청북도 충주시 금릉로 13삼일무지개아파트상가정상<NA>2019-04-26<NA>
22022203기타아이나라 키즈파크27486충청북도 충주시 샘골길 35-휴업<NA>2019-07-10<NA>
22032204기타스누피 랜드27347충청북도 충주시 연수로 6-16스누피랜드정상<NA>2019-04-05<NA>
22042205기타점핑엔젤스27395충청북도 충주시 염밭로 91대림아파트정상<NA>2019-04-01<NA>
22052206기타리틀비틀 서충주신도시점27465충청북도 충주시 중앙탑면 원앙길 8-9502호(비젼타워)정상<NA>2018-09-21<NA>
22062207기타헬로 방방27361충청북도 충주시 칠금중앙로 30부영2차아파트정상<NA>2019-06-17<NA>
22072208기타아이락27481충청북도 충주시 호암중앙2로 192층정상<NA>2019-04-26<NA>
22082209기타킹콩점프 신현점12771경기도 광주시 오포읍 신현로 74삼승빌딩정상<NA>2017-02-13<NA>
22092210기타나리몽키즈카페12149경기도 남양주시 늘을1로16번길 25603호정상<NA>2018-11-30<NA>