Overview

Dataset statistics

Number of variables6
Number of observations1850
Missing cells94
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory88.7 KiB
Average record size in memory49.1 B

Variable types

Numeric1
Categorical2
Text3

Dataset

Description경상남도 내 무장애 여행을 위한 관광지 주변 등 장애인 화장실에 대한 데이터로, 18개 시군 장애인이 이용가능한 관광지 등 화장실 현황입니다.
Author경상남도
URLhttps://www.data.go.kr/data/15124721/fileData.do

Alerts

연번 is highly overall correlated with 시군구High correlation
시군구 is highly overall correlated with 연번High correlation
시도 is highly imbalanced (96.9%)Imbalance
건물명 has 94 (5.1%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:29:26.909527
Analysis finished2023-12-12 09:29:28.121353
Duration1.21 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1850
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean925.5
Minimum1
Maximum1850
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.4 KiB
2023-12-12T18:29:28.222703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile93.45
Q1463.25
median925.5
Q31387.75
95-th percentile1757.55
Maximum1850
Range1849
Interquartile range (IQR)924.5

Descriptive statistics

Standard deviation534.19332
Coefficient of variation (CV)0.57719429
Kurtosis-1.2
Mean925.5
Median Absolute Deviation (MAD)462.5
Skewness0
Sum1712175
Variance285362.5
MonotonicityStrictly increasing
2023-12-12T18:29:28.755724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1244 1
 
0.1%
1242 1
 
0.1%
1241 1
 
0.1%
1240 1
 
0.1%
1239 1
 
0.1%
1238 1
 
0.1%
1237 1
 
0.1%
1236 1
 
0.1%
1235 1
 
0.1%
Other values (1840) 1840
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 (%)
1850 1
0.1%
1849 1
0.1%
1848 1
0.1%
1847 1
0.1%
1846 1
0.1%
1845 1
0.1%
1844 1
0.1%
1843 1
0.1%
1842 1
0.1%
1841 1
0.1%

시도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.6 KiB
경상남도
1844 
경상남도
 
6

Length

Max length5
Median length4
Mean length4.0032432
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상남도 1844
99.7%
경상남도 6
 
0.3%

Length

2023-12-12T18:29:28.954696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:29:29.086660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 1850
100.0%

시군구
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size14.6 KiB
거제시
314 
통영시
235 
창원시
146 
산청군
113 
진주시
109 
Other values (16)
933 

Length

Max length4
Median length3
Mean length3.0810811
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
거제시 314
17.0%
통영시 235
12.7%
창원시 146
 
7.9%
산청군 113
 
6.1%
진주시 109
 
5.9%
거창군 108
 
5.8%
하동군 95
 
5.1%
합천군 93
 
5.0%
고성군 87
 
4.7%
양산시 72
 
3.9%
Other values (11) 478
25.8%

Length

2023-12-12T18:29:29.234224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
거제시 314
17.0%
통영시 235
12.7%
창원시 182
9.8%
산청군 113
 
6.1%
진주시 109
 
5.9%
거창군 108
 
5.8%
하동군 95
 
5.1%
합천군 93
 
5.0%
고성군 87
 
4.7%
남해군 73
 
3.9%
Other values (8) 441
23.8%

법정동명
Text

Distinct612
Distinct (%)33.1%
Missing0
Missing (%)0.0%
Memory size14.6 KiB
2023-12-12T18:29:29.632901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length5.0772973
Min length2

Characters and Unicode

Total characters9393
Distinct characters225
Distinct categories3 ?
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 (%)15.3%

Sample

1st row신포동1가
2nd row월영동
3rd row추산동
4th row추산동
5th row상남동
ValueCountFrequency (%)
거창읍 67
 
2.4%
고현동 42
 
1.5%
산양읍 40
 
1.4%
일운면 32
 
1.1%
욕지면 31
 
1.1%
옥포동 30
 
1.1%
사등면 26
 
0.9%
산청읍 25
 
0.9%
한산면 24
 
0.9%
아주동 24
 
0.9%
Other values (691) 2456
87.8%
2023-12-12T18:29:30.253495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1016
 
10.8%
리 954
 
10.2%
면 909
 
9.7%
동 783
 
8.3%
읍 332
 
3.5%
산 233
 
2.5%
천 152
 
1.6%
상 118
 
1.3%
가 114
 
1.2%
정 113
 
1.2%
Other values (215) 4669
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8365
89.1%
Space Separator 1016
 
10.8%
Decimal Number 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 954
 
11.4%
면 909
 
10.9%
동 783
 
9.4%
읍 332
 
4.0%
산 233
 
2.8%
천 152
 
1.8%
상 118
 
1.4%
가 114
 
1.4%
정 113
 
1.4%
창 106
 
1.3%
Other values (210) 4551
54.4%
Decimal Number
ValueCountFrequency (%)
1 5
41.7%
2 5
41.7%
3 1
 
8.3%
7 1
 
8.3%
Space Separator
ValueCountFrequency (%)
1016
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8365
89.1%
Common 1028
 
10.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 954
 
11.4%
면 909
 
10.9%
동 783
 
9.4%
읍 332
 
4.0%
산 233
 
2.8%
천 152
 
1.8%
상 118
 
1.4%
가 114
 
1.4%
정 113
 
1.4%
창 106
 
1.3%
Other values (210) 4551
54.4%
Common
ValueCountFrequency (%)
1016
98.8%
1 5
 
0.5%
2 5
 
0.5%
3 1
 
0.1%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8365
89.1%
ASCII 1028
 
10.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1016
98.8%
1 5
 
0.5%
2 5
 
0.5%
3 1
 
0.1%
7 1
 
0.1%
Hangul
ValueCountFrequency (%)
리 954
 
11.4%
면 909
 
10.9%
동 783
 
9.4%
읍 332
 
4.0%
산 233
 
2.8%
천 152
 
1.8%
상 118
 
1.4%
가 114
 
1.4%
정 113
 
1.4%
창 106
 
1.3%
Other values (210) 4551
54.4%

건물명
Text

MISSING 

Distinct1709
Distinct (%)97.3%
Missing94
Missing (%)5.1%
Memory size14.6 KiB
2023-12-12T18:29:30.487399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length21
Mean length8.1059226
Min length2

Characters and Unicode

Total characters14234
Distinct characters528
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1685 ?
Unique (%)96.0%

Sample

1st row창원연안크루즈터미널
2nd row돝섬 종합관광안내센터
3rd row마산박물관
4th row문신미술관
5th row마산문학관
ValueCountFrequency (%)
공중화장실 96
 
4.4%
화장실 52
 
2.4%
공원화장실 21
 
1.0%
행정복지센터 17
 
0.8%
관광지사업소 10
 
0.5%
은모래비치 7
 
0.3%
사천시 6
 
0.3%
마을회관 6
 
0.3%
옆 6
 
0.3%
산양스포츠파크 5
 
0.2%
Other values (1852) 1979
89.8%
2023-12-12T18:29:30.932487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 485
 
3.4%
455
 
3.2%
공 433
 
3.0%
원 394
 
2.8%
지 369
 
2.6%
소 348
 
2.4%
화 329
 
2.3%
실 284
 
2.0%
사 253
 
1.8%
터 251
 
1.8%
Other values (518) 10633
74.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13398
94.1%
Space Separator 455
 
3.2%
Close Punctuation 106
 
0.7%
Open Punctuation 106
 
0.7%
Decimal Number 102
 
0.7%
Uppercase Letter 46
 
0.3%
Other Punctuation 9
 
0.1%
Lowercase Letter 6
 
< 0.1%
Other Symbol 4
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 485
 
3.6%
공 433
 
3.2%
원 394
 
2.9%
지 369
 
2.8%
소 348
 
2.6%
화 329
 
2.5%
실 284
 
2.1%
사 253
 
1.9%
터 251
 
1.9%
동 242
 
1.8%
Other values (479) 10010
74.7%
Uppercase Letter
ValueCountFrequency (%)
C 8
17.4%
K 5
10.9%
B 4
 
8.7%
G 4
 
8.7%
S 3
 
6.5%
A 2
 
4.3%
O 2
 
4.3%
X 2
 
4.3%
T 2
 
4.3%
H 2
 
4.3%
Other values (9) 12
26.1%
Decimal Number
ValueCountFrequency (%)
1 49
48.0%
2 33
32.4%
3 7
 
6.9%
9 5
 
4.9%
5 3
 
2.9%
0 2
 
2.0%
8 1
 
1.0%
4 1
 
1.0%
6 1
 
1.0%
Other Punctuation
ValueCountFrequency (%)
& 3
33.3%
, 3
33.3%
· 1
 
11.1%
. 1
 
11.1%
/ 1
 
11.1%
Space Separator
ValueCountFrequency (%)
455
100.0%
Close Punctuation
ValueCountFrequency (%)
) 106
100.0%
Open Punctuation
ValueCountFrequency (%)
( 106
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 6
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Math Symbol
ValueCountFrequency (%)
= 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13402
94.2%
Common 780
 
5.5%
Latin 52
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 485
 
3.6%
공 433
 
3.2%
원 394
 
2.9%
지 369
 
2.8%
소 348
 
2.6%
화 329
 
2.5%
실 284
 
2.1%
사 253
 
1.9%
터 251
 
1.9%
동 242
 
1.8%
Other values (480) 10014
74.7%
Latin
ValueCountFrequency (%)
C 8
15.4%
e 6
11.5%
K 5
 
9.6%
B 4
 
7.7%
G 4
 
7.7%
S 3
 
5.8%
A 2
 
3.8%
O 2
 
3.8%
X 2
 
3.8%
T 2
 
3.8%
Other values (10) 14
26.9%
Common
ValueCountFrequency (%)
455
58.3%
) 106
 
13.6%
( 106
 
13.6%
1 49
 
6.3%
2 33
 
4.2%
3 7
 
0.9%
9 5
 
0.6%
& 3
 
0.4%
, 3
 
0.4%
5 3
 
0.4%
Other values (8) 10
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13398
94.1%
ASCII 831
 
5.8%
None 5
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 485
 
3.6%
공 433
 
3.2%
원 394
 
2.9%
지 369
 
2.8%
소 348
 
2.6%
화 329
 
2.5%
실 284
 
2.1%
사 253
 
1.9%
터 251
 
1.9%
동 242
 
1.8%
Other values (479) 10010
74.7%
ASCII
ValueCountFrequency (%)
455
54.8%
) 106
 
12.8%
( 106
 
12.8%
1 49
 
5.9%
2 33
 
4.0%
C 8
 
1.0%
3 7
 
0.8%
e 6
 
0.7%
K 5
 
0.6%
9 5
 
0.6%
Other values (27) 51
 
6.1%
None
ValueCountFrequency (%)
㈜ 4
80.0%
· 1
 
20.0%

주소
Text

Distinct1788
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size14.6 KiB
2023-12-12T18:29:31.288943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length40
Mean length21.283243
Min length12

Characters and Unicode

Total characters39374
Distinct characters351
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1739 ?
Unique (%)94.0%

Sample

1st row경상남도 창원시 마산합포구 제2부두로 56
2nd row경상남도 창원시 마산합포구 돝섬1길 269
3rd row경상남도 창원시 마산합포구 문신길 105
4th row경상남도 창원시 마산합포구 문신길 147
5th row경상남도 창원시 마산합포구 노산북8길 49-1
ValueCountFrequency (%)
경상남도 1849
 
20.6%
거제시 314
 
3.5%
통영시 235
 
2.6%
창원시 182
 
2.0%
산청군 113
 
1.3%
진주시 109
 
1.2%
거창군 108
 
1.2%
하동군 95
 
1.1%
합천군 93
 
1.0%
고성군 87
 
1.0%
Other values (2514) 5803
64.6%
2023-12-12T18:29:31.940791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7169
 
18.2%
남 2106
 
5.3%
도 1934
 
4.9%
상 1927
 
4.9%
경 1877
 
4.8%
1 1356
 
3.4%
시 1092
 
2.8%
로 1007
 
2.6%
2 886
 
2.3%
면 884
 
2.2%
Other values (341) 19136
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24890
63.2%
Space Separator 7169
 
18.2%
Decimal Number 6423
 
16.3%
Dash Punctuation 617
 
1.6%
Close Punctuation 101
 
0.3%
Open Punctuation 101
 
0.3%
Other Punctuation 71
 
0.2%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 2106
 
8.5%
도 1934
 
7.8%
상 1927
 
7.7%
경 1877
 
7.5%
시 1092
 
4.4%
로 1007
 
4.0%
면 884
 
3.6%
군 814
 
3.3%
길 612
 
2.5%
산 599
 
2.4%
Other values (323) 12038
48.4%
Decimal Number
ValueCountFrequency (%)
1 1356
21.1%
2 886
13.8%
3 731
11.4%
5 638
9.9%
4 560
8.7%
7 544
8.5%
6 490
 
7.6%
0 411
 
6.4%
9 408
 
6.4%
8 399
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 70
98.6%
· 1
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
7169
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 617
100.0%
Close Punctuation
ValueCountFrequency (%)
) 101
100.0%
Open Punctuation
ValueCountFrequency (%)
( 101
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24890
63.2%
Common 14482
36.8%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 2106
 
8.5%
도 1934
 
7.8%
상 1927
 
7.7%
경 1877
 
7.5%
시 1092
 
4.4%
로 1007
 
4.0%
면 884
 
3.6%
군 814
 
3.3%
길 612
 
2.5%
산 599
 
2.4%
Other values (323) 12038
48.4%
Common
ValueCountFrequency (%)
7169
49.5%
1 1356
 
9.4%
2 886
 
6.1%
3 731
 
5.0%
5 638
 
4.4%
- 617
 
4.3%
4 560
 
3.9%
7 544
 
3.8%
6 490
 
3.4%
0 411
 
2.8%
Other values (6) 1080
 
7.5%
Latin
ValueCountFrequency (%)
C 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24890
63.2%
ASCII 14483
36.8%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7169
49.5%
1 1356
 
9.4%
2 886
 
6.1%
3 731
 
5.0%
5 638
 
4.4%
- 617
 
4.3%
4 560
 
3.9%
7 544
 
3.8%
6 490
 
3.4%
0 411
 
2.8%
Other values (7) 1081
 
7.5%
Hangul
ValueCountFrequency (%)
남 2106
 
8.5%
도 1934
 
7.8%
상 1927
 
7.7%
경 1877
 
7.5%
시 1092
 
4.4%
로 1007
 
4.0%
면 884
 
3.6%
군 814
 
3.3%
길 612
 
2.5%
산 599
 
2.4%
Other values (323) 12038
48.4%
None
ValueCountFrequency (%)
· 1
100.0%

Interactions

2023-12-12T18:29:27.748099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:29:32.076840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시도시군구
연번1.0000.0880.979
시도0.0881.0000.140
시군구0.9790.1401.000
2023-12-12T18:29:32.199339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도시군구
시도1.0000.122
시군구0.1221.000
2023-12-12T18:29:32.299889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시도시군구
연번1.0000.0670.873
시도0.0671.0000.122
시군구0.8730.1221.000

Missing values

2023-12-12T18:29:27.932292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:29:28.065933image/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.

Sample

연번시도시군구법정동명건물명주소
01경상남도창원시신포동1가창원연안크루즈터미널경상남도 창원시 마산합포구 제2부두로 56
12경상남도창원시월영동돝섬 종합관광안내센터경상남도 창원시 마산합포구 돝섬1길 269
23경상남도창원시추산동마산박물관경상남도 창원시 마산합포구 문신길 105
34경상남도창원시추산동문신미술관경상남도 창원시 마산합포구 문신길 147
45경상남도창원시상남동마산문학관경상남도 창원시 마산합포구 노산북8길 49-1
56경상남도창원시신포동1가마산음악관경상남도 창원시 마산합포구 수산2길 35
67경상남도창원시두동웅천도요지경상남도 창원시 진해구 두동도요로 198
78경상남도창원시제황산동진해박물관경상남도 창원시 진해구 중원동로 52
89경상남도창원시삼동동창원수목원 관리동경상남도 창원시 성산구 삼동동 산14-1
910경상남도창원시풍호동진해만생태숲 학습관경상남도 창원시 진해구 진해대로 1137번길 97
연번시도시군구법정동명건물명주소
18401841경상남도합천군가야면 치인리길상암 화장실경상남도 합천군 가야면 치인리 1231
18411842경상남도합천군가야면 황산리청량사 화장실(건물)경상남도 합천군 가야면 청량동길 144
18421843경상남도합천군가야면 야천리가야산국립공원사무소경상남도 합천군 가야산로 1200
18431844경상남도합천군대병면 회양리합천댐소형주차장화장실경상남도 합천군 대병면 합천호수로 229
18441845경상남도합천군대병면 성리댐휴게소매점화장실(합천댐 대형주차장 공중화장실)경상남도 합천군 대병면 합천호수로 258
18451846경상남도합천군대병면 성리운동장화장실경상남도 합천군 대병면 합천호수로 327-24
18461847경상남도합천군합천읍 영창리영창교이동식화장실경상남도 합천군 합천읍 영창리 854-1
18471848경상남도합천군삼가면 일부리삼가생태공원 관리동 화장실경상남도 합천군 삼가면 일부리 686-1
18481849경상남도합천군삼가면 일부리삼가생태공원 화장실경상남도 합천군 삼가면 일부리 686-1
18491850경상남도합천군삼가면 어전리어전 졸음쉼터 공중화장실경상남도 합천군 삼가면 어전리 84