Overview

Dataset statistics

Number of variables16
Number of observations10000
Missing cells11820
Missing cells (%)7.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 MiB
Average record size in memory140.0 B

Variable types

Numeric4
Text7
Categorical5

Dataset

Description관광장소 인근 관광상품(음식점, 숙박시설, 문화재)에 대한 장애인, 노약자 등 관광약자가 이용가능한 시설(주차장, 출입구, 화장실 등) 정보데이터
Author경상남도 진주시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15111083

Alerts

데이터 기준일자 has constant value ""Constant
주변 관광상품 구분 is highly overall correlated with 관광상품 분류High correlation
관광상품 분류 is highly overall correlated with 주변 관광상품 구분 and 1 other fieldsHigh correlation
편의시설 구분 is highly overall correlated with 편의시설 유무High correlation
편의시설 유무 is highly overall correlated with 관광상품 분류 and 1 other fieldsHigh correlation
도로명주소 has 316 (3.2%) missing valuesMissing
편의시설 정보 has 6215 (62.2%) missing valuesMissing
편의시설 상세정보 has 5289 (52.9%) missing valuesMissing
거리 has 527 (5.3%) zerosZeros

Reproduction

Analysis started2023-12-10 23:50:01.704993
Analysis finished2023-12-10 23:50:05.234253
Duration3.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분번호
Real number (ℝ)

Distinct97
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.1363
Minimum1
Maximum97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T08:50:05.318118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q125
median47
Q372
95-th percentile93
Maximum97
Range96
Interquartile range (IQR)47

Descriptive statistics

Standard deviation28.53366
Coefficient of variation (CV)0.59276803
Kurtosis-1.1822146
Mean48.1363
Median Absolute Deviation (MAD)24
Skewness0.034829759
Sum481363
Variance814.16974
MonotonicityNot monotonic
2023-12-11T08:50:05.454089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 242
 
2.4%
35 226
 
2.3%
3 212
 
2.1%
6 204
 
2.0%
68 189
 
1.9%
36 180
 
1.8%
66 176
 
1.8%
80 161
 
1.6%
90 156
 
1.6%
67 154
 
1.5%
Other values (87) 8100
81.0%
ValueCountFrequency (%)
1 242
2.4%
2 70
 
0.7%
3 212
2.1%
4 93
 
0.9%
5 70
 
0.7%
6 204
2.0%
7 73
 
0.7%
8 79
 
0.8%
9 92
 
0.9%
10 72
 
0.7%
ValueCountFrequency (%)
97 136
1.4%
96 95
0.9%
95 117
1.2%
94 115
1.1%
93 119
1.2%
92 96
1.0%
91 77
0.8%
90 156
1.6%
89 102
1.0%
88 91
0.9%

관광장소명
Text

Distinct100
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T08:50:05.685858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length6.587
Min length3

Characters and Unicode

Total characters65870
Distinct characters210
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row소석원
2nd row남가람공원
3rd row승산의부자한옥
4th row지신정
5th row바람모아공원
ValueCountFrequency (%)
월아산 337
 
2.7%
진주성 306
 
2.5%
경남문화예술회관 242
 
1.9%
김시민호 226
 
1.8%
날개 212
 
1.7%
소극장 212
 
1.7%
남가람공원 204
 
1.6%
저수지 202
 
1.6%
전망대 196
 
1.6%
청곡사 189
 
1.5%
Other values (109) 10134
81.3%
2023-12-11T08:50:06.053678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
진 3010
 
4.6%
주 2496
 
3.8%
2460
 
3.7%
원 1982
 
3.0%
공 1420
 
2.2%
관 1381
 
2.1%
지 1334
 
2.0%
산 1218
 
1.8%
성 1150
 
1.7%
남 1141
 
1.7%
Other values (200) 48278
73.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 63329
96.1%
Space Separator 2460
 
3.7%
Open Punctuation 27
 
< 0.1%
Uppercase Letter 27
 
< 0.1%
Close Punctuation 27
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
진 3010
 
4.8%
주 2496
 
3.9%
원 1982
 
3.1%
공 1420
 
2.2%
관 1381
 
2.2%
지 1334
 
2.1%
산 1218
 
1.9%
성 1150
 
1.8%
남 1141
 
1.8%
수 1068
 
1.7%
Other values (196) 47129
74.4%
Space Separator
ValueCountFrequency (%)
2460
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Uppercase Letter
ValueCountFrequency (%)
M 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 63329
96.1%
Common 2514
 
3.8%
Latin 27
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
진 3010
 
4.8%
주 2496
 
3.9%
원 1982
 
3.1%
공 1420
 
2.2%
관 1381
 
2.2%
지 1334
 
2.1%
산 1218
 
1.9%
성 1150
 
1.8%
남 1141
 
1.8%
수 1068
 
1.7%
Other values (196) 47129
74.4%
Common
ValueCountFrequency (%)
2460
97.9%
( 27
 
1.1%
) 27
 
1.1%
Latin
ValueCountFrequency (%)
M 27
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 63329
96.1%
ASCII 2541
 
3.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
진 3010
 
4.8%
주 2496
 
3.9%
원 1982
 
3.1%
공 1420
 
2.2%
관 1381
 
2.2%
지 1334
 
2.1%
산 1218
 
1.9%
성 1150
 
1.8%
남 1141
 
1.8%
수 1068
 
1.7%
Other values (196) 47129
74.4%
ASCII
ValueCountFrequency (%)
2460
96.8%
( 27
 
1.1%
M 27
 
1.1%
) 27
 
1.1%

주변 관광상품 구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
숙박시설
3825 
문화재
3175 
음식점
3000 

Length

Max length4
Median length3
Mean length3.3825
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row문화재
2nd row음식점
3rd row문화재
4th row문화재
5th row숙박시설

Common Values

ValueCountFrequency (%)
숙박시설 3825
38.2%
문화재 3175
31.8%
음식점 3000
30.0%

Length

2023-12-11T08:50:06.178893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:50:06.265745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
숙박시설 3825
38.2%
문화재 3175
31.8%
음식점 3000
30.0%

관광상품명
Text

Distinct311
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T08:50:06.445943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length22
Mean length7.7531
Min length1

Characters and Unicode

Total characters77531
Distinct characters423
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row진주 월명암 목조아미타여래좌상
2nd row카페인
3rd row진주 이세후 종가
4th row진주 허선구 고가
5th row동경모텔
ValueCountFrequency (%)
진주 1812
 
10.9%
청곡사 324
 
2.0%
동경모텔 279
 
1.7%
사적비 233
 
1.4%
쌍충 233
 
1.4%
김시민 214
 
1.3%
전공비 214
 
1.3%
아시아레이크사이드호텔 200
 
1.2%
영남포정사 195
 
1.2%
문루 195
 
1.2%
Other values (400) 12714
76.5%
2023-12-11T08:50:06.778215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6613
 
8.5%
진 3210
 
4.1%
텔 3167
 
4.1%
주 3118
 
4.0%
모 2110
 
2.7%
사 1734
 
2.2%
이 1464
 
1.9%
호 1320
 
1.7%
비 1226
 
1.6%
장 983
 
1.3%
Other values (413) 52586
67.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 64537
83.2%
Space Separator 6613
 
8.5%
Lowercase Letter 2741
 
3.5%
Uppercase Letter 1636
 
2.1%
Open Punctuation 593
 
0.8%
Close Punctuation 593
 
0.8%
Decimal Number 582
 
0.8%
Math Symbol 136
 
0.2%
Other Punctuation 83
 
0.1%
Dash Punctuation 17
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
진 3210
 
5.0%
텔 3167
 
4.9%
주 3118
 
4.8%
모 2110
 
3.3%
사 1734
 
2.7%
이 1464
 
2.3%
호 1320
 
2.0%
비 1226
 
1.9%
장 983
 
1.5%
정 871
 
1.3%
Other values (363) 45334
70.2%
Uppercase Letter
ValueCountFrequency (%)
L 223
13.6%
E 194
11.9%
A 152
9.3%
S 152
9.3%
T 139
8.5%
O 137
8.4%
H 131
8.0%
I 105
6.4%
M 102
6.2%
B 57
 
3.5%
Other values (7) 244
14.9%
Lowercase Letter
ValueCountFrequency (%)
e 527
19.2%
n 447
16.3%
o 318
11.6%
i 294
10.7%
c 181
 
6.6%
s 157
 
5.7%
t 151
 
5.5%
a 145
 
5.3%
v 143
 
5.2%
d 143
 
5.2%
Other values (6) 235
8.6%
Decimal Number
ValueCountFrequency (%)
1 247
42.4%
9 151
25.9%
7 71
 
12.2%
3 54
 
9.3%
0 22
 
3.8%
6 20
 
3.4%
8 11
 
1.9%
5 6
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 69
83.1%
. 8
 
9.6%
' 6
 
7.2%
Math Symbol
ValueCountFrequency (%)
~ 71
52.2%
+ 65
47.8%
Space Separator
ValueCountFrequency (%)
6613
100.0%
Open Punctuation
ValueCountFrequency (%)
( 593
100.0%
Close Punctuation
ValueCountFrequency (%)
) 593
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 64537
83.2%
Common 8617
 
11.1%
Latin 4377
 
5.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
진 3210
 
5.0%
텔 3167
 
4.9%
주 3118
 
4.8%
모 2110
 
3.3%
사 1734
 
2.7%
이 1464
 
2.3%
호 1320
 
2.0%
비 1226
 
1.9%
장 983
 
1.5%
정 871
 
1.3%
Other values (363) 45334
70.2%
Latin
ValueCountFrequency (%)
e 527
 
12.0%
n 447
 
10.2%
o 318
 
7.3%
i 294
 
6.7%
L 223
 
5.1%
E 194
 
4.4%
c 181
 
4.1%
s 157
 
3.6%
A 152
 
3.5%
S 152
 
3.5%
Other values (23) 1732
39.6%
Common
ValueCountFrequency (%)
6613
76.7%
( 593
 
6.9%
) 593
 
6.9%
1 247
 
2.9%
9 151
 
1.8%
~ 71
 
0.8%
7 71
 
0.8%
, 69
 
0.8%
+ 65
 
0.8%
3 54
 
0.6%
Other values (7) 90
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 64537
83.2%
ASCII 12994
 
16.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6613
50.9%
( 593
 
4.6%
) 593
 
4.6%
e 527
 
4.1%
n 447
 
3.4%
o 318
 
2.4%
i 294
 
2.3%
1 247
 
1.9%
L 223
 
1.7%
E 194
 
1.5%
Other values (40) 2945
22.7%
Hangul
ValueCountFrequency (%)
진 3210
 
5.0%
텔 3167
 
4.9%
주 3118
 
4.8%
모 2110
 
3.3%
사 1734
 
2.7%
이 1464
 
2.3%
호 1320
 
2.0%
비 1226
 
1.9%
장 983
 
1.5%
정 871
 
1.3%
Other values (363) 45334
70.2%

관광상품 분류
Categorical

HIGH CORRELATION 

Distinct23
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
여관업
2842 
도지정_유형문화재
1805 
대표음식점
1551 
일반음식점
768 
휴게음식점
681 
Other values (18)
2353 

Length

Max length10
Median length9
Mean length5.4437
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row국가지정_보물
2nd row휴게음식점
3rd row문화재자료
4th row문화재자료
5th row여관업

Common Values

ValueCountFrequency (%)
여관업 2842
28.4%
도지정_유형문화재 1805
18.1%
대표음식점 1551
15.5%
일반음식점 768
 
7.7%
휴게음식점 681
 
6.8%
문화재자료 438
 
4.4%
국가지정_보물 311
 
3.1%
일반호텔 301
 
3.0%
국가지정_등록문화재 208
 
2.1%
관광숙박업 193
 
1.9%
Other values (13) 902
 
9.0%

Length

2023-12-11T08:50:06.914962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
여관업 2842
28.2%
도지정_유형문화재 1805
17.9%
대표음식점 1551
15.4%
일반음식점 768
 
7.6%
휴게음식점 681
 
6.8%
문화재자료 438
 
4.3%
국가지정_보물 311
 
3.1%
일반호텔 301
 
3.0%
국가지정_등록문화재 208
 
2.1%
관광숙박업 193
 
1.9%
Other values (14) 975
 
9.7%

지번주소
Text

Distinct364
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T08:50:07.186574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length35
Mean length18.8629
Min length3

Characters and Unicode

Total characters188629
Distinct characters153
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique83 ?
Unique (%)0.8%

Sample

1st row미천면 진산로 1623번길 21-199
2nd row경상남도 진주시 망경동 124-6
3rd row지수면 청원길 51번길 18-8
4th row지수면 승산길 25
5th row경상남도 진주시 상평동 310-18
ValueCountFrequency (%)
진주시 7613
18.6%
경상남도 5538
 
13.6%
경남 2075
 
5.1%
남강로 1380
 
3.4%
진주성 1380
 
3.4%
평거동 1048
 
2.6%
충무공동 907
 
2.2%
판문동 659
 
1.6%
626(본성동 625
 
1.5%
금산면 618
 
1.5%
Other values (473) 18995
46.5%
2023-12-11T08:50:07.571345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31693
 
16.8%
남 9704
 
5.1%
진 9650
 
5.1%
주 9432
 
5.0%
경 7850
 
4.2%
1 7687
 
4.1%
시 7613
 
4.0%
- 7341
 
3.9%
동 7328
 
3.9%
상 6616
 
3.5%
Other values (143) 83715
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 103402
54.8%
Decimal Number 42078
22.3%
Space Separator 31693
 
16.8%
Dash Punctuation 7341
 
3.9%
Open Punctuation 1642
 
0.9%
Close Punctuation 1642
 
0.9%
Other Punctuation 831
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 9704
 
9.4%
진 9650
 
9.3%
주 9432
 
9.1%
경 7850
 
7.6%
시 7613
 
7.4%
동 7328
 
7.1%
상 6616
 
6.4%
도 5546
 
5.4%
성 3004
 
2.9%
로 2439
 
2.4%
Other values (126) 34220
33.1%
Decimal Number
ValueCountFrequency (%)
1 7687
18.3%
2 5963
14.2%
3 5313
12.6%
6 4573
10.9%
4 3711
8.8%
7 3029
 
7.2%
0 2991
 
7.1%
8 2987
 
7.1%
5 2986
 
7.1%
9 2838
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 750
90.3%
※ 65
 
7.8%
. 16
 
1.9%
Space Separator
ValueCountFrequency (%)
31693
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7341
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1642
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1642
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 103402
54.8%
Common 85227
45.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 9704
 
9.4%
진 9650
 
9.3%
주 9432
 
9.1%
경 7850
 
7.6%
시 7613
 
7.4%
동 7328
 
7.1%
상 6616
 
6.4%
도 5546
 
5.4%
성 3004
 
2.9%
로 2439
 
2.4%
Other values (126) 34220
33.1%
Common
ValueCountFrequency (%)
31693
37.2%
1 7687
 
9.0%
- 7341
 
8.6%
2 5963
 
7.0%
3 5313
 
6.2%
6 4573
 
5.4%
4 3711
 
4.4%
7 3029
 
3.6%
0 2991
 
3.5%
8 2987
 
3.5%
Other values (7) 9939
 
11.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 103402
54.8%
ASCII 85162
45.1%
Punctuation 65
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31693
37.2%
1 7687
 
9.0%
- 7341
 
8.6%
2 5963
 
7.0%
3 5313
 
6.2%
6 4573
 
5.4%
4 3711
 
4.4%
7 3029
 
3.6%
0 2991
 
3.5%
8 2987
 
3.5%
Other values (6) 9874
 
11.6%
Hangul
ValueCountFrequency (%)
남 9704
 
9.4%
진 9650
 
9.3%
주 9432
 
9.1%
경 7850
 
7.6%
시 7613
 
7.4%
동 7328
 
7.1%
상 6616
 
6.4%
도 5546
 
5.4%
성 3004
 
2.9%
로 2439
 
2.4%
Other values (126) 34220
33.1%
Punctuation
ValueCountFrequency (%)
※ 65
100.0%

도로명주소
Text

MISSING 

Distinct326
Distinct (%)3.4%
Missing316
Missing (%)3.2%
Memory size156.2 KiB
2023-12-11T08:50:07.868242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length38
Mean length19.782734
Min length13

Characters and Unicode

Total characters191576
Distinct characters173
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)0.6%

Sample

1st row경남 진주시 미천면 진산로1623번길 21-199
2nd row경상남도 진주시 강남로337번길 1, 1층,2층 (망경동)
3rd row경남 진주시 지수면 청원길51번길 18-8
4th row경남 진주시 지수면 승산길 25
5th row경남 진주시 남강로 1234
ValueCountFrequency (%)
진주시 9775
22.4%
경남 5589
 
12.8%
경상남도 4095
 
9.4%
남강로 1982
 
4.5%
626 952
 
2.2%
금산면 618
 
1.4%
에나로 610
 
1.4%
103-7 555
 
1.3%
626-35 428
 
1.0%
지수면 381
 
0.9%
Other values (464) 18641
42.7%
2023-12-11T08:50:08.309846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
34920
18.2%
남 12663
 
6.6%
진 11528
 
6.0%
주 10618
 
5.5%
시 9987
 
5.2%
경 9793
 
5.1%
1 9165
 
4.8%
로 8790
 
4.6%
6 5285
 
2.8%
3 5023
 
2.6%
Other values (163) 73804
38.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 111250
58.1%
Decimal Number 39632
 
20.7%
Space Separator 34920
 
18.2%
Dash Punctuation 3337
 
1.7%
Other Punctuation 839
 
0.4%
Close Punctuation 799
 
0.4%
Open Punctuation 799
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 12663
11.4%
진 11528
 
10.4%
주 10618
 
9.5%
시 9987
 
9.0%
경 9793
 
8.8%
로 8790
 
7.9%
길 4716
 
4.2%
상 4336
 
3.9%
도 4192
 
3.8%
번 3836
 
3.4%
Other values (147) 30791
27.7%
Decimal Number
ValueCountFrequency (%)
1 9165
23.1%
6 5285
13.3%
3 5023
12.7%
2 5002
12.6%
5 3841
9.7%
7 2866
 
7.2%
0 2637
 
6.7%
4 2278
 
5.7%
9 1986
 
5.0%
8 1549
 
3.9%
Other Punctuation
ValueCountFrequency (%)
, 823
98.1%
. 16
 
1.9%
Space Separator
ValueCountFrequency (%)
34920
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3337
100.0%
Close Punctuation
ValueCountFrequency (%)
) 799
100.0%
Open Punctuation
ValueCountFrequency (%)
( 799
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 111250
58.1%
Common 80326
41.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 12663
11.4%
진 11528
 
10.4%
주 10618
 
9.5%
시 9987
 
9.0%
경 9793
 
8.8%
로 8790
 
7.9%
길 4716
 
4.2%
상 4336
 
3.9%
도 4192
 
3.8%
번 3836
 
3.4%
Other values (147) 30791
27.7%
Common
ValueCountFrequency (%)
34920
43.5%
1 9165
 
11.4%
6 5285
 
6.6%
3 5023
 
6.3%
2 5002
 
6.2%
5 3841
 
4.8%
- 3337
 
4.2%
7 2866
 
3.6%
0 2637
 
3.3%
4 2278
 
2.8%
Other values (6) 5972
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 111250
58.1%
ASCII 80326
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
34920
43.5%
1 9165
 
11.4%
6 5285
 
6.6%
3 5023
 
6.3%
2 5002
 
6.2%
5 3841
 
4.8%
- 3337
 
4.2%
7 2866
 
3.6%
0 2637
 
3.3%
4 2278
 
2.8%
Other values (6) 5972
 
7.4%
Hangul
ValueCountFrequency (%)
남 12663
11.4%
진 11528
 
10.4%
주 10618
 
9.5%
시 9987
 
9.0%
경 9793
 
8.8%
로 8790
 
7.9%
길 4716
 
4.2%
상 4336
 
3.9%
도 4192
 
3.8%
번 3836
 
3.4%
Other values (147) 30791
27.7%

위도
Real number (ℝ)

Distinct265
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.188338
Minimum35.076692
Maximum35.306752
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T08:50:08.500418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.076692
5-th percentile35.162577
Q135.176183
median35.187877
Q335.191646
95-th percentile35.250508
Maximum35.306752
Range0.23006024
Interquartile range (IQR)0.01546328

Descriptive statistics

Standard deviation0.026510695
Coefficient of variation (CV)0.00075339437
Kurtosis5.4492025
Mean35.188338
Median Absolute Deviation (MAD)0.00967231
Skewness1.332438
Sum351883.38
Variance0.00070281696
MonotonicityNot monotonic
2023-12-11T08:50:08.625921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.19043372 952
 
9.5%
35.17820452 555
 
5.5%
35.18901371 429
 
4.3%
35.19078822 324
 
3.2%
35.17618279 200
 
2.0%
35.19016592 164
 
1.6%
35.17816978 148
 
1.5%
35.17966999 147
 
1.5%
35.17488593 143
 
1.4%
35.25050793 138
 
1.4%
Other values (255) 6800
68.0%
ValueCountFrequency (%)
35.07669166 12
 
0.1%
35.09375532 6
 
0.1%
35.10568768 5
 
0.1%
35.11223447 32
0.3%
35.11274487 11
 
0.1%
35.11290429 11
 
0.1%
35.11304453 20
0.2%
35.11414944 18
0.2%
35.115142 29
0.3%
35.12413142 24
0.2%
ValueCountFrequency (%)
35.3067519 6
 
0.1%
35.30653309 27
 
0.3%
35.30575503 24
 
0.2%
35.29681155 9
 
0.1%
35.2965741 20
 
0.2%
35.28348958 16
 
0.2%
35.27923703 122
1.2%
35.27650196 3
 
< 0.1%
35.27540838 5
 
0.1%
35.27387296 6
 
0.1%

경도
Real number (ℝ)

Distinct265
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.10395
Minimum127.92256
Maximum128.33249
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T08:50:08.746365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.92256
5-th percentile128.03477
Q1128.07339
median128.08393
Q3128.14031
95-th percentile128.2277
Maximum128.33249
Range0.4099299
Interquartile range (IQR)0.0669229

Descriptive statistics

Standard deviation0.058253893
Coefficient of variation (CV)0.00045473924
Kurtosis1.5368346
Mean128.10395
Median Absolute Deviation (MAD)0.0250263
Skewness1.1743843
Sum1281039.5
Variance0.003393516
MonotonicityNot monotonic
2023-12-11T08:50:08.866366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.0802222 952
 
9.5%
128.1403109 555
 
5.5%
128.0768441 429
 
4.3%
128.1810646 324
 
3.2%
128.0339259 200
 
2.0%
128.0925624 164
 
1.6%
128.1457684 148
 
1.5%
128.0875868 147
 
1.5%
128.0347676 143
 
1.4%
128.2277012 138
 
1.4%
Other values (255) 6800
68.0%
ValueCountFrequency (%)
127.9225555 2
 
< 0.1%
127.9619666 18
 
0.2%
127.9632123 3
 
< 0.1%
127.9647642 1
 
< 0.1%
127.9657155 6
 
0.1%
127.9940519 122
1.2%
128.0159298 7
 
0.1%
128.0173128 45
 
0.4%
128.017708 32
 
0.3%
128.0217337 3
 
< 0.1%
ValueCountFrequency (%)
128.3324854 7
 
0.1%
128.3321694 10
 
0.1%
128.3300604 17
 
0.2%
128.2813723 13
 
0.1%
128.2752642 7
 
0.1%
128.2706431 92
0.9%
128.2696869 21
 
0.2%
128.2688967 47
0.5%
128.2682071 35
 
0.4%
128.267837 23
 
0.2%

거리
Real number (ℝ)

ZEROS 

Distinct487
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118.59205
Minimum0
Maximum13372.03
Zeros527
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T08:50:09.002262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.41
median1.06
Q32.88
95-th percentile9.96
Maximum13372.03
Range13372.03
Interquartile range (IQR)2.47

Descriptive statistics

Standard deviation1241.3909
Coefficient of variation (CV)10.467741
Kurtosis110.00567
Mean118.59205
Median Absolute Deviation (MAD)0.84
Skewness10.582203
Sum1185920.5
Variance1541051.3
MonotonicityNot monotonic
2023-12-11T08:50:09.155527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 527
 
5.3%
0.41 268
 
2.7%
0.4 163
 
1.6%
0.17 159
 
1.6%
0.33 146
 
1.5%
0.5 140
 
1.4%
0.14 140
 
1.4%
0.9 132
 
1.3%
1.1 131
 
1.3%
0.63 126
 
1.3%
Other values (477) 8068
80.7%
ValueCountFrequency (%)
0.0 527
5.3%
0.02 3
 
< 0.1%
0.04 36
 
0.4%
0.05 37
 
0.4%
0.06 19
 
0.2%
0.07 47
 
0.5%
0.09 6
 
0.1%
0.1 64
 
0.6%
0.11 52
 
0.5%
0.12 66
 
0.7%
ValueCountFrequency (%)
13372.03 3
 
< 0.1%
13370.98 7
 
0.1%
13370.69 18
0.2%
13370.15 11
0.1%
13370.02 11
0.1%
13369.7 5
 
0.1%
13369.35 9
0.1%
13368.83 11
0.1%
13362.01 12
0.1%
15.36 2
 
< 0.1%

편의시설 구분
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
화장실
4392 
출입구
2679 
주차장
1228 
계단n
492 
관광상품 이용
 
404
Other values (9)
805 

Length

Max length7
Median length3
Mean length3.185
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row출입구
2nd row화장실
3rd row계단n
4th row화장실
5th row승강기

Common Values

ValueCountFrequency (%)
화장실 4392
43.9%
출입구 2679
26.8%
주차장 1228
 
12.3%
계단n 492
 
4.9%
관광상품 이용 404
 
4.0%
승강기 323
 
3.2%
매표소 198
 
2.0%
휴식공간 145
 
1.5%
보행로n 77
 
0.8%
기타 29
 
0.3%
Other values (4) 33
 
0.3%

Length

2023-12-11T08:50:09.289646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화장실 4392
42.2%
출입구 2679
25.7%
주차장 1228
 
11.8%
계단n 492
 
4.7%
관광상품 404
 
3.9%
이용 404
 
3.9%
승강기 323
 
3.1%
매표소 198
 
1.9%
휴식공간 145
 
1.4%
보행로n 77
 
0.7%
Other values (5) 62
 
0.6%

편의시설 상세구분
Text

Distinct143
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T08:50:09.485904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length10.1411
Min length1

Characters and Unicode

Total characters101411
Distinct characters107
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.1%

Sample

1st row계단>점자안내
2nd row일반화장실>출입구 점형블록
3rd row손잡이
4th row일반화장실(여)>안내표지판
5th row폭
ValueCountFrequency (%)
점형블록 531
 
4.4%
출입문 482
 
4.0%
출입문>점형블록 374
 
3.1%
출입문>출입폭 368
 
3.0%
출입문>자동 366
 
3.0%
출입문>점자안내 324
 
2.7%
수 320
 
2.6%
관광약자 287
 
2.4%
일반주차구역>주차가능수 257
 
2.1%
장애인전용주차구역 245
 
2.0%
Other values (140) 8561
70.7%
2023-12-11T08:50:09.849239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
> 7699
 
7.6%
장 6515
 
6.4%
실 4638
 
4.6%
화 4392
 
4.3%
출 3534
 
3.5%
입 3534
 
3.5%
일 3190
 
3.1%
반 3190
 
3.1%
( 2720
 
2.7%
) 2720
 
2.7%
Other values (97) 59279
58.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 85465
84.3%
Math Symbol 7699
 
7.6%
Open Punctuation 2720
 
2.7%
Close Punctuation 2720
 
2.7%
Space Separator 2115
 
2.1%
Connector Punctuation 692
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 6515
 
7.6%
실 4638
 
5.4%
화 4392
 
5.1%
출 3534
 
4.1%
입 3534
 
4.1%
일 3190
 
3.7%
반 3190
 
3.7%
전 2613
 
3.1%
용 2578
 
3.0%
문 2530
 
3.0%
Other values (92) 48751
57.0%
Math Symbol
ValueCountFrequency (%)
> 7699
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2720
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2720
100.0%
Space Separator
ValueCountFrequency (%)
2115
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 692
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 85465
84.3%
Common 15946
 
15.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 6515
 
7.6%
실 4638
 
5.4%
화 4392
 
5.1%
출 3534
 
4.1%
입 3534
 
4.1%
일 3190
 
3.7%
반 3190
 
3.7%
전 2613
 
3.1%
용 2578
 
3.0%
문 2530
 
3.0%
Other values (92) 48751
57.0%
Common
ValueCountFrequency (%)
> 7699
48.3%
( 2720
 
17.1%
) 2720
 
17.1%
2115
 
13.3%
_ 692
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 85465
84.3%
ASCII 15946
 
15.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
> 7699
48.3%
( 2720
 
17.1%
) 2720
 
17.1%
2115
 
13.3%
_ 692
 
4.3%
Hangul
ValueCountFrequency (%)
장 6515
 
7.6%
실 4638
 
5.4%
화 4392
 
5.1%
출 3534
 
4.1%
입 3534
 
4.1%
일 3190
 
3.7%
반 3190
 
3.7%
전 2613
 
3.1%
용 2578
 
3.0%
문 2530
 
3.0%
Other values (92) 48751
57.0%

편의시설 유무
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Y
5371 
N
4600 
99
 
29

Length

Max length2
Median length1
Mean length1.0029
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowN
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
Y 5371
53.7%
N 4600
46.0%
99 29
 
0.3%

Length

2023-12-11T08:50:09.965191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:50:10.068372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 5371
53.7%
n 4600
46.0%
99 29
 
0.3%

편의시설 정보
Text

MISSING 

Distinct381
Distinct (%)10.1%
Missing6215
Missing (%)62.2%
Memory size156.2 KiB
2023-12-11T08:50:10.352400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length37
Mean length5.0660502
Min length1

Characters and Unicode

Total characters19175
Distinct characters187
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

Unique81 ?
Unique (%)2.1%

Sample

1st row79cm
2nd row4개
3rd row1
4th row피난안내도
5th row73cm
ValueCountFrequency (%)
1 579
 
9.7%
2 360
 
6.0%
284
 
4.8%
90cm 130
 
2.2%
3 116
 
1.9%
너무 108
 
1.8%
울퉁불퉁하거나 108
 
1.8%
재질이다 107
 
1.8%
않는 107
 
1.8%
여자 99
 
1.7%
Other values (418) 3958
66.5%
2023-12-11T08:50:10.794729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2171
 
11.3%
1 1684
 
8.8%
m 1553
 
8.1%
c 1549
 
8.1%
2 780
 
4.1%
0 758
 
4.0%
7 629
 
3.3%
3 493
 
2.6%
8 461
 
2.4%
9 456
 
2.4%
Other values (177) 8641
45.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6529
34.0%
Other Letter 6510
34.0%
Lowercase Letter 3120
16.3%
Space Separator 2171
 
11.3%
Other Punctuation 758
 
4.0%
Open Punctuation 34
 
0.2%
Close Punctuation 34
 
0.2%
Uppercase Letter 14
 
0.1%
Dash Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 253
 
3.9%
거 233
 
3.6%
퉁 218
 
3.3%
질 215
 
3.3%
는 178
 
2.7%
장 164
 
2.5%
재 163
 
2.5%
이 159
 
2.4%
무 149
 
2.3%
비 149
 
2.3%
Other values (147) 4629
71.1%
Decimal Number
ValueCountFrequency (%)
1 1684
25.8%
2 780
11.9%
0 758
11.6%
7 629
 
9.6%
3 493
 
7.6%
8 461
 
7.1%
9 456
 
7.0%
4 452
 
6.9%
5 450
 
6.9%
6 366
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
m 1553
49.8%
c 1549
49.6%
n 4
 
0.1%
o 4
 
0.1%
a 2
 
0.1%
f 2
 
0.1%
i 2
 
0.1%
t 2
 
0.1%
r 2
 
0.1%
Other Punctuation
ValueCountFrequency (%)
, 354
46.7%
: 231
30.5%
. 171
22.6%
/ 2
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
C 6
42.9%
M 6
42.9%
I 2
 
14.3%
Space Separator
ValueCountFrequency (%)
2171
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9531
49.7%
Hangul 6510
34.0%
Latin 3134
 
16.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 253
 
3.9%
거 233
 
3.6%
퉁 218
 
3.3%
질 215
 
3.3%
는 178
 
2.7%
장 164
 
2.5%
재 163
 
2.5%
이 159
 
2.4%
무 149
 
2.3%
비 149
 
2.3%
Other values (147) 4629
71.1%
Common
ValueCountFrequency (%)
2171
22.8%
1 1684
17.7%
2 780
 
8.2%
0 758
 
8.0%
7 629
 
6.6%
3 493
 
5.2%
8 461
 
4.8%
9 456
 
4.8%
4 452
 
4.7%
5 450
 
4.7%
Other values (8) 1197
12.6%
Latin
ValueCountFrequency (%)
m 1553
49.6%
c 1549
49.4%
C 6
 
0.2%
M 6
 
0.2%
n 4
 
0.1%
o 4
 
0.1%
I 2
 
0.1%
a 2
 
0.1%
f 2
 
0.1%
i 2
 
0.1%
Other values (2) 4
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12665
66.0%
Hangul 6510
34.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2171
17.1%
1 1684
13.3%
m 1553
12.3%
c 1549
12.2%
2 780
 
6.2%
0 758
 
6.0%
7 629
 
5.0%
3 493
 
3.9%
8 461
 
3.6%
9 456
 
3.6%
Other values (20) 2131
16.8%
Hangul
ValueCountFrequency (%)
자 253
 
3.9%
거 233
 
3.6%
퉁 218
 
3.3%
질 215
 
3.3%
는 178
 
2.7%
장 164
 
2.5%
재 163
 
2.5%
이 159
 
2.4%
무 149
 
2.3%
비 149
 
2.3%
Other values (147) 4629
71.1%

편의시설 상세정보
Text

MISSING 

Distinct422
Distinct (%)9.0%
Missing5289
Missing (%)52.9%
Memory size156.2 KiB
2023-12-11T08:50:11.125289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length50
Mean length12.589684
Min length1

Characters and Unicode

Total characters59310
Distinct characters280
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique106 ?
Unique (%)2.3%

Sample

1st row건물 올라가는 계단
2nd row촉석문
3rd row1층, 일반용 3개, 유아용 1개
4th row남녀공용화장실
5th row전용주차장
ValueCountFrequency (%)
화장실 573
 
3.6%
1층 565
 
3.5%
483
 
3.0%
촉석문 478
 
3.0%
안내 441
 
2.8%
일반 432
 
2.7%
계단 364
 
2.3%
장애인용 306
 
1.9%
있음 289
 
1.8%
있는 283
 
1.8%
Other values (473) 11803
73.7%
2023-12-11T08:50:11.601523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11306
 
19.1%
장 3094
 
5.2%
실 1959
 
3.3%
용 1730
 
2.9%
화 1682
 
2.8%
1 1636
 
2.8%
, 1620
 
2.7%
층 1291
 
2.2%
문 1216
 
2.1%
내 1188
 
2.0%
Other values (270) 32588
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40647
68.5%
Space Separator 11306
 
19.1%
Decimal Number 3524
 
5.9%
Other Punctuation 2331
 
3.9%
Open Punctuation 603
 
1.0%
Close Punctuation 603
 
1.0%
Lowercase Letter 156
 
0.3%
Dash Punctuation 114
 
0.2%
Math Symbol 18
 
< 0.1%
Uppercase Letter 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 3094
 
7.6%
실 1959
 
4.8%
용 1730
 
4.3%
화 1682
 
4.1%
층 1291
 
3.2%
문 1216
 
3.0%
내 1188
 
2.9%
차 966
 
2.4%
남 843
 
2.1%
반 842
 
2.1%
Other values (245) 25836
63.6%
Decimal Number
ValueCountFrequency (%)
1 1636
46.4%
2 736
20.9%
3 250
 
7.1%
4 214
 
6.1%
7 156
 
4.4%
5 154
 
4.4%
8 114
 
3.2%
6 94
 
2.7%
0 89
 
2.5%
9 81
 
2.3%
Other Punctuation
ValueCountFrequency (%)
, 1620
69.5%
: 307
 
13.2%
* 281
 
12.1%
/ 70
 
3.0%
. 53
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
M 4
50.0%
E 2
25.0%
T 2
25.0%
Lowercase Letter
ValueCountFrequency (%)
c 78
50.0%
m 78
50.0%
Space Separator
ValueCountFrequency (%)
11306
100.0%
Open Punctuation
ValueCountFrequency (%)
( 603
100.0%
Close Punctuation
ValueCountFrequency (%)
) 603
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%
Math Symbol
ValueCountFrequency (%)
~ 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40647
68.5%
Common 18499
31.2%
Latin 164
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 3094
 
7.6%
실 1959
 
4.8%
용 1730
 
4.3%
화 1682
 
4.1%
층 1291
 
3.2%
문 1216
 
3.0%
내 1188
 
2.9%
차 966
 
2.4%
남 843
 
2.1%
반 842
 
2.1%
Other values (245) 25836
63.6%
Common
ValueCountFrequency (%)
11306
61.1%
1 1636
 
8.8%
, 1620
 
8.8%
2 736
 
4.0%
( 603
 
3.3%
) 603
 
3.3%
: 307
 
1.7%
* 281
 
1.5%
3 250
 
1.4%
4 214
 
1.2%
Other values (10) 943
 
5.1%
Latin
ValueCountFrequency (%)
c 78
47.6%
m 78
47.6%
M 4
 
2.4%
E 2
 
1.2%
T 2
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40647
68.5%
ASCII 18663
31.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11306
60.6%
1 1636
 
8.8%
, 1620
 
8.7%
2 736
 
3.9%
( 603
 
3.2%
) 603
 
3.2%
: 307
 
1.6%
* 281
 
1.5%
3 250
 
1.3%
4 214
 
1.1%
Other values (15) 1107
 
5.9%
Hangul
ValueCountFrequency (%)
장 3094
 
7.6%
실 1959
 
4.8%
용 1730
 
4.3%
화 1682
 
4.1%
층 1291
 
3.2%
문 1216
 
3.0%
내 1188
 
2.9%
차 966
 
2.4%
남 843
 
2.1%
반 842
 
2.1%
Other values (245) 25836
63.6%

데이터 기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2022-12-23
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-12-23
2nd row2022-12-23
3rd row2022-12-23
4th row2022-12-23
5th row2022-12-23

Common Values

ValueCountFrequency (%)
2022-12-23 10000
100.0%

Length

2023-12-11T08:50:11.722857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:50:11.800794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-12-23 10000
100.0%

Interactions

2023-12-11T08:50:04.223087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:50:03.237509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:50:03.556427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:50:03.878197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:50:04.303135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:50:03.320126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:50:03.635206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:50:03.965394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:50:04.384549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:50:03.397452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:50:03.721121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:50:04.057233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:50:04.461355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:50:03.470279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:50:03.795483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:50:04.126748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:50:11.861095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분번호관광장소명주변 관광상품 구분관광상품 분류위도경도거리편의시설 구분편의시설 유무
구분번호1.0001.0000.2820.4720.4880.6630.3450.1650.089
관광장소명1.0001.0000.5940.8370.8780.9320.8720.4370.273
주변 관광상품 구분0.2820.5941.0001.0000.5130.4850.0380.6730.340
관광상품 분류0.4720.8371.0001.0000.8210.7960.2690.7540.863
위도0.4880.8780.5130.8211.0000.8330.2590.3390.167
경도0.6630.9320.4850.7960.8331.0000.3310.3620.200
거리0.3450.8720.0380.2690.2590.3311.0000.0520.004
편의시설 구분0.1650.4370.6730.7540.3390.3620.0521.0000.855
편의시설 유무0.0890.2730.3400.8630.1670.2000.0040.8551.000
2023-12-11T08:50:11.973418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주변 관광상품 구분편의시설 유무편의시설 구분관광상품 분류
주변 관광상품 구분1.0000.1180.4900.999
편의시설 유무0.1181.0000.7310.699
편의시설 구분0.4900.7311.0000.351
관광상품 분류0.9990.6990.3511.000
2023-12-11T08:50:12.057867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분번호위도경도거리주변 관광상품 구분관광상품 분류편의시설 구분편의시설 유무
구분번호1.0000.0270.2140.1640.1750.1940.0670.053
위도0.0271.0000.175-0.0430.3590.4790.1440.100
경도0.2140.1751.0000.0820.3340.4460.1550.121
거리0.164-0.0430.0821.0000.0640.2330.0400.007
주변 관광상품 구분0.1750.3590.3340.0641.0000.9990.4900.118
관광상품 분류0.1940.4790.4460.2330.9991.0000.3510.699
편의시설 구분0.0670.1440.1550.0400.4900.3511.0000.731
편의시설 유무0.0530.1000.1210.0070.1180.6990.7311.000

Missing values

2023-12-11T08:50:04.588160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:50:05.043772image/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.
2023-12-11T08:50:05.163386image/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

구분번호관광장소명주변 관광상품 구분관광상품명관광상품 분류지번주소도로명주소위도경도거리편의시설 구분편의시설 상세구분편의시설 유무편의시설 정보편의시설 상세정보데이터 기준일자
839425소석원문화재진주 월명암 목조아미타여래좌상국가지정_보물미천면 진산로 1623번길 21-199경남 진주시 미천면 진산로1623번길 21-19935.306533128.0592032.4출입구계단>점자안내N<NA><NA>2022-12-23
21626남가람공원음식점카페인휴게음식점경상남도 진주시 망경동 124-6경상남도 진주시 강남로337번길 1, 1층,2층 (망경동)35.186189128.0809370.16화장실일반화장실>출입구 점형블록N<NA><NA>2022-12-23
3130296승산의부자한옥문화재진주 이세후 종가문화재자료지수면 청원길 51번길 18-8경남 진주시 지수면 청원길51번길 18-835.230327128.2813721.21계단n손잡이N<NA>건물 올라가는 계단2022-12-23
3087895지신정문화재진주 허선구 고가문화재자료지수면 승산길 25경남 진주시 지수면 승산길 2535.234917128.2678370.14화장실일반화장실(여)>안내표지판Y<NA><NA>2022-12-23
2725184바람모아공원숙박시설동경모텔여관업경상남도 진주시 상평동 310-18경남 진주시 남강로 123435.171298128.1246320.48승강기폭Y79cm<NA>2022-12-23
6631경남문화예술회관문화재진주 촉석루도지정_유형문화재남강로 626(남성동) 진주성경남 진주시 남강로 62635.190434128.0802221.1화장실장애인전용화장실(여)>출입구 점형블록N<NA>촉석문2022-12-23
1353039진주자유시장문화재진주역 차량정비고국가지정_등록문화재강남동 245-225<NA>35.17967128.0875872.05화장실장애인전용화장실(남)>자동 출입문Y<NA><NA>2022-12-23
2491877챔프승마클럽숙박시설더온모텔여관업경상남도 진주시 상대동 330-78경상남도 진주시 상대로 57-235.184622128.1183792.87주차장장애인전용주차구역N<NA><NA>2022-12-23
1775852진주익룡발자국전시관문화재분류두공부시(언해)권17~19국가지정_보물경상남도 진주시 충의로 19(충무공동 227-2) 한국토지주택공사 토지주택박물관경남 진주시 충의로 1935.17817128.1457681.19화장실일반화장실(남)>대변기Y4개1층, 일반용 3개, 유아용 1개2022-12-23
392311진주레일바이크놀이공원음식점그린스키친(Greens Kitchen)일반음식점경상남도 진주시 평거동 755-11경상남도 진주시 신평공원길 49-1 1층 그린스키친35.173028128.0680460.75화장실일반화장실>출입구 점형블록N<NA>남녀공용화장실2022-12-23
구분번호관광장소명주변 관광상품 구분관광상품명관광상품 분류지번주소도로명주소위도경도거리편의시설 구분편의시설 상세구분편의시설 유무편의시설 정보편의시설 상세정보데이터 기준일자
631419물초울공원음식점통영산장어구이대표음식점경남 진주시 충무공동 282-6경남 진주시 충의로 20-1735.175506128.1478030.85출입구출입문>출입폭Y91cm<NA>2022-12-23
2881990두방사음식점레이크사이드 컨벤션(Lake side convention)일반음식점경상남도 진주시 판문동 469-5경상남도 진주시 남강로1번길 11135.174886128.03476813370.15주차장일반주차구역>주차가능수Y1층 주차장 15대, 2층 주차장 25대노블레스 레스토랑 같이 사용2022-12-23
3107796승산의부자한옥숙박시설지수남명진취가관광숙박업경상남도 진주시 지수면 승산리 209-9경상남도 진주시 지수면 지수로 50635.23669128.2706430.21관광안내소안내지원>기타 안내판N<NA><NA>2022-12-23
2087164비봉산 대봉정숙박시설호텔더브이(HOTEL THE V)여관업경상남도 진주시 장대동 131-9경상남도 진주시 진양호로556번길 935.192952128.0865730.85출입구출입문>점형블록Y<NA>안내 2층2022-12-23
1640448진주시립이성자미술관숙박시설동경모텔여관업경상남도 진주시 충무공동 38-3경상남도 진주시 에나로 103-735.178205128.1403110.35출입구계단>우회로Y<NA>후문 계단,우회로2022-12-23
431412초전공원숙박시설폴럭스호텔여관업경상남도 진주시 상대동 330-72경남 진주시 상대로 57-335.184778128.1181672.43출입구출입문>계단 수N<NA>주차장에서 안내1층 가는 자동문2022-12-23
2238068청곡사음식점진주헛제사밥대표음식점경남 진주시 금산면 갈전리 1121경남 진주시 금산면 월아산로 1296-635.182888128.155862.45주차장일반주차구역>주차가능수Y6<NA>2022-12-23
503515단성석조여래좌상숙박시설성중모텔여관업경상남도 진주시 칠암동 513-7경상남도 진주시 진주대로920번길 5-835.178361128.0836590.29관광상품 이용메뉴판Y<NA><NA>2022-12-23
1170435김시민호문화재김시민 전공비도지정_유형문화재남강로 626(본성동), 진주성경남 진주시 남강로 62635.190434128.0802220.17화장실일반화장실(여)>안내표지판Y<NA><NA>2022-12-23
1943059금호지 금호못유원지숙박시설피렌체모텔여관업경상남도 진주시 충무공동 38-3경상남도 진주시 에나로 103-735.178205128.1403114.25주차장보행로>폭Y180cm지하주차장 - 승강기 보행로2022-12-23