Overview

Dataset statistics

Number of variables11
Number of observations10000
Missing cells16824
Missing cells (%)15.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory947.3 KiB
Average record size in memory97.0 B

Variable types

Numeric1
Text6
Categorical3
Boolean1

Dataset

Description관광장소별 장애인, 노약자 등 관광약자가 이동/이용가능한 동선 및 시설(주차장, 출입문, 매표소, 화장실 등) 정보 데이터
Author경상남도 진주시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15111050

Alerts

데이터 기준일자 has constant value ""Constant
관광 동선 구분 is highly overall correlated with 편의시설 구분High correlation
편의시설 구분 is highly overall correlated with 관광 동선 구분High correlation
관광스팟 has 2332 (23.3%) missing valuesMissing
편의시설 정보 has 6497 (65.0%) missing valuesMissing
편의시설 상세정보 has 7995 (80.0%) missing valuesMissing

Reproduction

Analysis started2023-12-11 00:21:47.227213
Analysis finished2023-12-11 00:21:48.823165
Duration1.6 second
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%
Mean49.455
Minimum1
Maximum97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T09:21:48.897934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q134
median53
Q369
95-th percentile90
Maximum97
Range96
Interquartile range (IQR)35

Descriptive statistics

Standard deviation25.229265
Coefficient of variation (CV)0.5101459
Kurtosis-0.8704785
Mean49.455
Median Absolute Deviation (MAD)17
Skewness-0.15271286
Sum494550
Variance636.51583
MonotonicityNot monotonic
2023-12-11T09:21:49.026866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36 851
 
8.5%
55 758
 
7.6%
78 344
 
3.4%
68 312
 
3.1%
53 270
 
2.7%
10 262
 
2.6%
71 261
 
2.6%
56 234
 
2.3%
61 220
 
2.2%
37 197
 
2.0%
Other values (87) 6291
62.9%
ValueCountFrequency (%)
1 168
1.7%
2 66
 
0.7%
3 28
 
0.3%
4 68
 
0.7%
5 134
1.3%
6 113
1.1%
7 55
 
0.5%
8 54
 
0.5%
9 70
 
0.7%
10 262
2.6%
ValueCountFrequency (%)
97 37
 
0.4%
96 25
 
0.2%
95 48
 
0.5%
94 149
1.5%
93 104
1.0%
92 96
1.0%
91 23
 
0.2%
90 88
0.9%
89 30
 
0.3%
88 22
 
0.2%

관광장소명
Text

Distinct97
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T09:21:49.266423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length7.4024
Min length3

Characters and Unicode

Total characters74024
Distinct characters210
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

Unique0 ?
Unique (%)0.0%

Sample

1st row진양호 동물원
2nd row남강야외무대
3rd row청곡사
4th row진양호 동물원
5th row진주시 전통예술회관 공연장
ValueCountFrequency (%)
진주성 1048
 
6.8%
경상남도 992
 
6.5%
수목원 758
 
4.9%
진주 640
 
4.2%
금호지 403
 
2.6%
진양호 351
 
2.3%
경상남도교육청 344
 
2.2%
과학교육원 344
 
2.2%
청곡사 312
 
2.0%
진주시 271
 
1.8%
Other values (114) 9899
64.4%
2023-12-11T09:21:49.728523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5362
 
7.2%
진 3877
 
5.2%
주 3372
 
4.6%
원 3086
 
4.2%
남 1943
 
2.6%
관 1888
 
2.6%
경 1814
 
2.5%
물 1598
 
2.2%
도 1597
 
2.2%
수 1579
 
2.1%
Other values (200) 47908
64.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 68390
92.4%
Space Separator 5362
 
7.2%
Close Punctuation 136
 
0.2%
Open Punctuation 136
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
진 3877
 
5.7%
주 3372
 
4.9%
원 3086
 
4.5%
남 1943
 
2.8%
관 1888
 
2.8%
경 1814
 
2.7%
물 1598
 
2.3%
도 1597
 
2.3%
수 1579
 
2.3%
공 1566
 
2.3%
Other values (197) 46070
67.4%
Space Separator
ValueCountFrequency (%)
5362
100.0%
Close Punctuation
ValueCountFrequency (%)
) 136
100.0%
Open Punctuation
ValueCountFrequency (%)
( 136
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 68390
92.4%
Common 5634
 
7.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
진 3877
 
5.7%
주 3372
 
4.9%
원 3086
 
4.5%
남 1943
 
2.8%
관 1888
 
2.8%
경 1814
 
2.7%
물 1598
 
2.3%
도 1597
 
2.3%
수 1579
 
2.3%
공 1566
 
2.3%
Other values (197) 46070
67.4%
Common
ValueCountFrequency (%)
5362
95.2%
) 136
 
2.4%
( 136
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 68390
92.4%
ASCII 5634
 
7.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5362
95.2%
) 136
 
2.4%
( 136
 
2.4%
Hangul
ValueCountFrequency (%)
진 3877
 
5.7%
주 3372
 
4.9%
원 3086
 
4.5%
남 1943
 
2.8%
관 1888
 
2.8%
경 1814
 
2.7%
물 1598
 
2.3%
도 1597
 
2.3%
수 1579
 
2.3%
공 1566
 
2.3%
Other values (197) 46070
67.4%

주소
Text

Distinct96
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T09:21:49.988076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length46
Mean length37.5854
Min length6

Characters and Unicode

Total characters375854
Distinct characters167
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

Unique0 ?
Unique (%)0.0%

Sample

1st row경남 진주시 판문동 산 171-1(경남 진주시 남강로1번길 130(판문동) 진양호동물원)
2nd row경남 진주시 칠암동 478-5(경남 진주시 내동면 삼계로 430)
3rd row경남 진주시 금산면 갈전리 18(경남 진주시 금산면 월아산로1440번길 138 청곡사)
4th row경남 진주시 판문동 산 171-1(경남 진주시 남강로1번길 130(판문동) 진양호동물원)
5th row경남 진주시 판문동 477-2(경남 진주시 남강로1번길 96-8)
ValueCountFrequency (%)
진주시 16985
22.5%
경남 8613
 
11.4%
이반성면 2064
 
2.7%
금산면 1914
 
2.5%
판문동 1152
 
1.5%
진성면 1102
 
1.5%
경상남도 1069
 
1.4%
대천리 992
 
1.3%
수목원로 992
 
1.3%
386 992
 
1.3%
Other values (292) 39608
52.5%
2023-12-11T09:21:50.404615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
65680
 
17.5%
남 20501
 
5.5%
진 20149
 
5.4%
경 19639
 
5.2%
주 17712
 
4.7%
시 17246
 
4.6%
1 16396
 
4.4%
( 9879
 
2.6%
) 9879
 
2.6%
동 8684
 
2.3%
Other values (157) 170089
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 213770
56.9%
Decimal Number 68160
 
18.1%
Space Separator 65680
 
17.5%
Open Punctuation 9879
 
2.6%
Close Punctuation 9879
 
2.6%
Dash Punctuation 8336
 
2.2%
Other Punctuation 150
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 20501
 
9.6%
진 20149
 
9.4%
경 19639
 
9.2%
주 17712
 
8.3%
시 17246
 
8.1%
동 8684
 
4.1%
면 8360
 
3.9%
로 7791
 
3.6%
산 6222
 
2.9%
성 5511
 
2.6%
Other values (141) 81955
38.3%
Decimal Number
ValueCountFrequency (%)
1 16396
24.1%
5 7505
11.0%
6 7038
10.3%
3 6748
9.9%
8 6294
 
9.2%
2 6049
 
8.9%
4 6031
 
8.8%
7 5707
 
8.4%
0 3624
 
5.3%
9 2768
 
4.1%
Other Punctuation
ValueCountFrequency (%)
? 124
82.7%
, 26
 
17.3%
Space Separator
ValueCountFrequency (%)
65680
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9879
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9879
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8336
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 213770
56.9%
Common 162084
43.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 20501
 
9.6%
진 20149
 
9.4%
경 19639
 
9.2%
주 17712
 
8.3%
시 17246
 
8.1%
동 8684
 
4.1%
면 8360
 
3.9%
로 7791
 
3.6%
산 6222
 
2.9%
성 5511
 
2.6%
Other values (141) 81955
38.3%
Common
ValueCountFrequency (%)
65680
40.5%
1 16396
 
10.1%
( 9879
 
6.1%
) 9879
 
6.1%
- 8336
 
5.1%
5 7505
 
4.6%
6 7038
 
4.3%
3 6748
 
4.2%
8 6294
 
3.9%
2 6049
 
3.7%
Other values (6) 18280
 
11.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 213770
56.9%
ASCII 162084
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
65680
40.5%
1 16396
 
10.1%
( 9879
 
6.1%
) 9879
 
6.1%
- 8336
 
5.1%
5 7505
 
4.6%
6 7038
 
4.3%
3 6748
 
4.2%
8 6294
 
3.9%
2 6049
 
3.7%
Other values (6) 18280
 
11.3%
Hangul
ValueCountFrequency (%)
남 20501
 
9.6%
진 20149
 
9.4%
경 19639
 
9.2%
주 17712
 
8.3%
시 17246
 
8.1%
동 8684
 
4.1%
면 8360
 
3.9%
로 7791
 
3.6%
산 6222
 
2.9%
성 5511
 
2.6%
Other values (141) 81955
38.3%

관광스팟
Text

MISSING 

Distinct1407
Distinct (%)18.3%
Missing2332
Missing (%)23.3%
Memory size156.2 KiB
2023-12-11T09:21:50.763157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length29
Mean length9.5483829
Min length2

Characters and Unicode

Total characters73217
Distinct characters392
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

Unique123 ?
Unique (%)1.6%

Sample

1st row광장화장실
2nd row주차장 - 야외무대
3rd row출입문 5
4th row정신적 치유의 장_5. 모래마당_이동 동선
5th row체험관 입구
ValueCountFrequency (%)
화장실 924
 
4.6%
900
 
4.5%
계단 684
 
3.4%
가는 497
 
2.5%
2층 379
 
1.9%
1층 377
 
1.9%
입구 370
 
1.9%
보행로 329
 
1.6%
길 321
 
1.6%
앞 286
 
1.4%
Other values (959) 14904
74.6%
2023-12-11T09:21:51.221046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12303
 
16.8%
장 3207
 
4.4%
실 2035
 
2.8%
화 1762
 
2.4%
로 1602
 
2.2%
1 1544
 
2.1%
2 1463
 
2.0%
입 1457
 
2.0%
구 1317
 
1.8%
가 1207
 
1.6%
Other values (382) 45320
61.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 54663
74.7%
Space Separator 12303
 
16.8%
Decimal Number 4125
 
5.6%
Other Punctuation 934
 
1.3%
Connector Punctuation 379
 
0.5%
Math Symbol 319
 
0.4%
Dash Punctuation 190
 
0.3%
Open Punctuation 123
 
0.2%
Close Punctuation 123
 
0.2%
Uppercase Letter 58
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 3207
 
5.9%
실 2035
 
3.7%
화 1762
 
3.2%
로 1602
 
2.9%
입 1457
 
2.7%
구 1317
 
2.4%
가 1207
 
2.2%
는 1154
 
2.1%
층 1101
 
2.0%
문 1061
 
1.9%
Other values (354) 38760
70.9%
Decimal Number
ValueCountFrequency (%)
1 1544
37.4%
2 1463
35.5%
3 438
 
10.6%
4 245
 
5.9%
7 124
 
3.0%
5 115
 
2.8%
6 114
 
2.8%
8 50
 
1.2%
0 30
 
0.7%
9 2
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
P 20
34.5%
D 20
34.5%
B 6
 
10.3%
C 5
 
8.6%
M 5
 
8.6%
X 1
 
1.7%
A 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
: 641
68.6%
. 168
 
18.0%
, 114
 
12.2%
& 9
 
1.0%
/ 2
 
0.2%
Space Separator
ValueCountFrequency (%)
12303
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 379
100.0%
Math Symbol
ValueCountFrequency (%)
~ 319
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 190
100.0%
Open Punctuation
ValueCountFrequency (%)
( 123
100.0%
Close Punctuation
ValueCountFrequency (%)
) 123
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 54663
74.7%
Common 18496
 
25.3%
Latin 58
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 3207
 
5.9%
실 2035
 
3.7%
화 1762
 
3.2%
로 1602
 
2.9%
입 1457
 
2.7%
구 1317
 
2.4%
가 1207
 
2.2%
는 1154
 
2.1%
층 1101
 
2.0%
문 1061
 
1.9%
Other values (354) 38760
70.9%
Common
ValueCountFrequency (%)
12303
66.5%
1 1544
 
8.3%
2 1463
 
7.9%
: 641
 
3.5%
3 438
 
2.4%
_ 379
 
2.0%
~ 319
 
1.7%
4 245
 
1.3%
- 190
 
1.0%
. 168
 
0.9%
Other values (11) 806
 
4.4%
Latin
ValueCountFrequency (%)
P 20
34.5%
D 20
34.5%
B 6
 
10.3%
C 5
 
8.6%
M 5
 
8.6%
X 1
 
1.7%
A 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 54663
74.7%
ASCII 18554
 
25.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12303
66.3%
1 1544
 
8.3%
2 1463
 
7.9%
: 641
 
3.5%
3 438
 
2.4%
_ 379
 
2.0%
~ 319
 
1.7%
4 245
 
1.3%
- 190
 
1.0%
. 168
 
0.9%
Other values (18) 864
 
4.7%
Hangul
ValueCountFrequency (%)
장 3207
 
5.9%
실 2035
 
3.7%
화 1762
 
3.2%
로 1602
 
2.9%
입 1457
 
2.7%
구 1317
 
2.4%
가 1207
 
2.2%
는 1154
 
2.1%
층 1101
 
2.0%
문 1061
 
1.9%
Other values (354) 38760
70.9%

관광 동선 구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
관광동선
3449 
휴게시설
2955 
입구
2390 
도착
685 
관광콘텐츠
521 

Length

Max length5
Median length4
Mean length3.4371
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row휴게시설
2nd row관광동선
3rd row도착
4th row관광동선
5th row입구

Common Values

ValueCountFrequency (%)
관광동선 3449
34.5%
휴게시설 2955
29.5%
입구 2390
23.9%
도착 685
 
6.9%
관광콘텐츠 521
 
5.2%

Length

2023-12-11T09:21:51.354242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:21:51.459835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광동선 3449
34.5%
휴게시설 2955
29.5%
입구 2390
23.9%
도착 685
 
6.9%
관광콘텐츠 521
 
5.2%

편의시설 구분
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
출입구
2390 
화장실
2225 
보행로n
1620 
계단n
1055 
경사로n
737 
Other values (8)
1973 

Length

Max length5
Median length3
Mean length3.3969
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출입구 2390
23.9%
화장실 2225
22.2%
보행로n 1620
16.2%
계단n 1055
10.5%
경사로n 737
 
7.4%
휴식공간 698
 
7.0%
주차장 617
 
6.2%
관광안내소 361
 
3.6%
체험활동 126
 
1.3%
매표소 68
 
0.7%
Other values (3) 103
 
1.0%

Length

2023-12-11T09:21:51.608590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
출입구 2390
23.9%
화장실 2225
22.2%
보행로n 1620
16.2%
계단n 1055
10.5%
경사로n 737
 
7.4%
휴식공간 698
 
7.0%
주차장 617
 
6.2%
관광안내소 361
 
3.6%
체험활동 126
 
1.3%
매표소 68
 
0.7%
Other values (3) 103
 
1.0%

편의시설 상세구분
Text

Distinct180
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T09:21:51.865190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length7.5597
Min length1

Characters and Unicode

Total characters75597
Distinct characters120
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)< 0.1%

Sample

1st row일반화장실(여)>출입구 점형블록
2nd row특이사항
3rd row자전거 보관소
4th row계단 수
5th row출입문>출입폭
ValueCountFrequency (%)
단차 494
 
4.3%
특이사항 410
 
3.6%
폭 395
 
3.4%
수 387
 
3.4%
구간(길이 386
 
3.3%
점형블록 325
 
2.8%
출입문 316
 
2.7%
재질 243
 
2.1%
바닥 234
 
2.0%
점자블럭 233
 
2.0%
Other values (175) 8120
70.3%
2023-12-11T09:21:52.274941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
> 5321
 
7.0%
장 3333
 
4.4%
이 2583
 
3.4%
출 2533
 
3.4%
입 2533
 
3.4%
) 2473
 
3.3%
( 2473
 
3.3%
실 2466
 
3.3%
화 2225
 
2.9%
단 1984
 
2.6%
Other values (110) 47673
63.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 63336
83.8%
Math Symbol 5321
 
7.0%
Close Punctuation 2473
 
3.3%
Open Punctuation 2473
 
3.3%
Space Separator 1543
 
2.0%
Connector Punctuation 445
 
0.6%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 3333
 
5.3%
이 2583
 
4.1%
출 2533
 
4.0%
입 2533
 
4.0%
실 2466
 
3.9%
화 2225
 
3.5%
단 1984
 
3.1%
문 1974
 
3.1%
사 1796
 
2.8%
구 1512
 
2.4%
Other values (104) 40397
63.8%
Math Symbol
ValueCountFrequency (%)
> 5321
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2473
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2473
100.0%
Space Separator
ValueCountFrequency (%)
1543
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 445
100.0%
Lowercase Letter
ValueCountFrequency (%)
n 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 63336
83.8%
Common 12255
 
16.2%
Latin 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 3333
 
5.3%
이 2583
 
4.1%
출 2533
 
4.0%
입 2533
 
4.0%
실 2466
 
3.9%
화 2225
 
3.5%
단 1984
 
3.1%
문 1974
 
3.1%
사 1796
 
2.8%
구 1512
 
2.4%
Other values (104) 40397
63.8%
Common
ValueCountFrequency (%)
> 5321
43.4%
) 2473
20.2%
( 2473
20.2%
1543
 
12.6%
_ 445
 
3.6%
Latin
ValueCountFrequency (%)
n 6
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 63336
83.8%
ASCII 12261
 
16.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
> 5321
43.4%
) 2473
20.2%
( 2473
20.2%
1543
 
12.6%
_ 445
 
3.6%
n 6
 
< 0.1%
Hangul
ValueCountFrequency (%)
장 3333
 
5.3%
이 2583
 
4.1%
출 2533
 
4.0%
입 2533
 
4.0%
실 2466
 
3.9%
화 2225
 
3.5%
단 1984
 
3.1%
문 1974
 
3.1%
사 1796
 
2.8%
구 1512
 
2.4%
Other values (104) 40397
63.8%

편의시설 유무
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
5790 
True
4210 
ValueCountFrequency (%)
False 5790
57.9%
True 4210
42.1%
2023-12-11T09:21:52.397805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

편의시설 정보
Text

MISSING 

Distinct1263
Distinct (%)36.1%
Missing6497
Missing (%)65.0%
Memory size156.2 KiB
2023-12-11T09:21:52.738183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length132
Median length96
Mean length6.4558949
Min length1

Characters and Unicode

Total characters22615
Distinct characters488
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

Unique841 ?
Unique (%)24.0%

Sample

1st row4
2nd row77cm
3rd row204cm
4th row2개
5th row아메리카 들소 관람
ValueCountFrequency (%)
1 169
 
2.9%
2 141
 
2.4%
재질이다 98
 
1.7%
3 85
 
1.4%
않는 78
 
1.3%
질퍽거리지 76
 
1.3%
아스팔트 73
 
1.2%
비가 70
 
1.2%
때 63
 
1.1%
올 63
 
1.1%
Other values (1873) 4994
84.5%
2023-12-11T09:21:53.283009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2407
 
10.6%
m 1902
 
8.4%
c 1898
 
8.4%
1 1291
 
5.7%
2 948
 
4.2%
0 841
 
3.7%
3 692
 
3.1%
5 655
 
2.9%
4 544
 
2.4%
. 482
 
2.1%
Other values (478) 10955
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8806
38.9%
Decimal Number 6642
29.4%
Lowercase Letter 3800
16.8%
Space Separator 2407
 
10.6%
Other Punctuation 849
 
3.8%
Open Punctuation 34
 
0.2%
Close Punctuation 34
 
0.2%
Uppercase Letter 34
 
0.2%
Dash Punctuation 8
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 284
 
3.2%
질 279
 
3.2%
재 253
 
2.9%
지 184
 
2.1%
가 176
 
2.0%
로 157
 
1.8%
평 153
 
1.7%
거 141
 
1.6%
는 130
 
1.5%
다 127
 
1.4%
Other values (446) 6922
78.6%
Decimal Number
ValueCountFrequency (%)
1 1291
19.4%
2 948
14.3%
0 841
12.7%
3 692
10.4%
5 655
9.9%
4 544
8.2%
7 436
 
6.6%
6 434
 
6.5%
9 402
 
6.1%
8 399
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
M 12
35.3%
C 11
32.4%
X 3
 
8.8%
B 2
 
5.9%
R 2
 
5.9%
Q 1
 
2.9%
A 1
 
2.9%
V 1
 
2.9%
D 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 482
56.8%
, 298
35.1%
: 58
 
6.8%
* 5
 
0.6%
/ 4
 
0.5%
& 2
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
m 1902
50.1%
c 1898
49.9%
Space Separator
ValueCountFrequency (%)
2407
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9975
44.1%
Hangul 8806
38.9%
Latin 3834
 
17.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 284
 
3.2%
질 279
 
3.2%
재 253
 
2.9%
지 184
 
2.1%
가 176
 
2.0%
로 157
 
1.8%
평 153
 
1.7%
거 141
 
1.6%
는 130
 
1.5%
다 127
 
1.4%
Other values (446) 6922
78.6%
Common
ValueCountFrequency (%)
2407
24.1%
1 1291
12.9%
2 948
 
9.5%
0 841
 
8.4%
3 692
 
6.9%
5 655
 
6.6%
4 544
 
5.5%
. 482
 
4.8%
7 436
 
4.4%
6 434
 
4.4%
Other values (11) 1245
12.5%
Latin
ValueCountFrequency (%)
m 1902
49.6%
c 1898
49.5%
M 12
 
0.3%
C 11
 
0.3%
X 3
 
0.1%
B 2
 
0.1%
R 2
 
0.1%
Q 1
 
< 0.1%
A 1
 
< 0.1%
V 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13809
61.1%
Hangul 8806
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2407
17.4%
m 1902
13.8%
c 1898
13.7%
1 1291
9.3%
2 948
 
6.9%
0 841
 
6.1%
3 692
 
5.0%
5 655
 
4.7%
4 544
 
3.9%
. 482
 
3.5%
Other values (22) 2149
15.6%
Hangul
ValueCountFrequency (%)
이 284
 
3.2%
질 279
 
3.2%
재 253
 
2.9%
지 184
 
2.1%
가 176
 
2.0%
로 157
 
1.8%
평 153
 
1.7%
거 141
 
1.6%
는 130
 
1.5%
다 127
 
1.4%
Other values (446) 6922
78.6%

편의시설 상세정보
Text

MISSING 

Distinct651
Distinct (%)32.5%
Missing7995
Missing (%)80.0%
Memory size156.2 KiB
2023-12-11T09:21:53.534913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length106
Median length83
Mean length14.585536
Min length2

Characters and Unicode

Total characters29244
Distinct characters446
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

Unique375 ?
Unique (%)18.7%

Sample

1st row호랑이 우리 관람을 위한 통로, 입구쪽 2, 출구쪽 2
2nd row일반1 유아용1
3rd row1층 여자화장실 안에 위치
4th row남자
5th row일반 남자화장실에 한칸 위치
ValueCountFrequency (%)
393
 
5.0%
위치 188
 
2.4%
화장실 183
 
2.3%
안에 175
 
2.2%
1층 157
 
2.0%
계단 144
 
1.8%
앞 109
 
1.4%
일반 107
 
1.4%
있음 97
 
1.2%
2층 95
 
1.2%
Other values (1273) 6195
79.0%
2023-12-11T09:21:53.995599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5840
 
20.0%
장 1226
 
4.2%
실 767
 
2.6%
화 745
 
2.5%
1 718
 
2.5%
에 492
 
1.7%
2 473
 
1.6%
, 436
 
1.5%
: 429
 
1.5%
단 396
 
1.4%
Other values (436) 17722
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20264
69.3%
Space Separator 5840
 
20.0%
Decimal Number 1841
 
6.3%
Other Punctuation 974
 
3.3%
Math Symbol 98
 
0.3%
Close Punctuation 70
 
0.2%
Open Punctuation 70
 
0.2%
Lowercase Letter 64
 
0.2%
Dash Punctuation 12
 
< 0.1%
Uppercase Letter 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 1226
 
6.1%
실 767
 
3.8%
화 745
 
3.7%
에 492
 
2.4%
단 396
 
2.0%
문 371
 
1.8%
계 352
 
1.7%
층 329
 
1.6%
사 317
 
1.6%
주 307
 
1.5%
Other values (407) 14962
73.8%
Decimal Number
ValueCountFrequency (%)
1 718
39.0%
2 473
25.7%
3 135
 
7.3%
0 117
 
6.4%
4 89
 
4.8%
5 84
 
4.6%
7 71
 
3.9%
9 54
 
2.9%
8 52
 
2.8%
6 48
 
2.6%
Other Punctuation
ValueCountFrequency (%)
, 436
44.8%
: 429
44.0%
. 91
 
9.3%
* 12
 
1.2%
& 5
 
0.5%
/ 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
R 3
30.0%
Q 3
30.0%
X 3
30.0%
D 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
m 31
48.4%
c 31
48.4%
x 2
 
3.1%
Space Separator
ValueCountFrequency (%)
5840
100.0%
Math Symbol
ValueCountFrequency (%)
~ 98
100.0%
Close Punctuation
ValueCountFrequency (%)
) 70
100.0%
Open Punctuation
ValueCountFrequency (%)
( 70
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20264
69.3%
Common 8906
30.5%
Latin 74
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 1226
 
6.1%
실 767
 
3.8%
화 745
 
3.7%
에 492
 
2.4%
단 396
 
2.0%
문 371
 
1.8%
계 352
 
1.7%
층 329
 
1.6%
사 317
 
1.6%
주 307
 
1.5%
Other values (407) 14962
73.8%
Common
ValueCountFrequency (%)
5840
65.6%
1 718
 
8.1%
2 473
 
5.3%
, 436
 
4.9%
: 429
 
4.8%
3 135
 
1.5%
0 117
 
1.3%
~ 98
 
1.1%
. 91
 
1.0%
4 89
 
1.0%
Other values (12) 480
 
5.4%
Latin
ValueCountFrequency (%)
m 31
41.9%
c 31
41.9%
R 3
 
4.1%
Q 3
 
4.1%
X 3
 
4.1%
x 2
 
2.7%
D 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20263
69.3%
ASCII 8980
30.7%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5840
65.0%
1 718
 
8.0%
2 473
 
5.3%
, 436
 
4.9%
: 429
 
4.8%
3 135
 
1.5%
0 117
 
1.3%
~ 98
 
1.1%
. 91
 
1.0%
4 89
 
1.0%
Other values (19) 554
 
6.2%
Hangul
ValueCountFrequency (%)
장 1226
 
6.1%
실 767
 
3.8%
화 745
 
3.7%
에 492
 
2.4%
단 396
 
2.0%
문 371
 
1.8%
계 352
 
1.7%
층 329
 
1.6%
사 317
 
1.6%
주 307
 
1.5%
Other values (406) 14961
73.8%
Compat Jamo
ValueCountFrequency (%)
ㄷ 1
100.0%

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

2023-12-11T09:21:54.157551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:21:54.259664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-12-23 10000
100.0%

Interactions

2023-12-11T09:21:48.374200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:21:54.346132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분번호관광장소명주소관광 동선 구분편의시설 구분편의시설 유무
구분번호1.0001.0001.0000.2160.2110.053
관광장소명1.0001.0001.0000.4950.5730.167
주소1.0001.0001.0000.4940.5720.171
관광 동선 구분0.2160.4950.4941.0001.0000.122
편의시설 구분0.2110.5730.5721.0001.0000.323
편의시설 유무0.0530.1670.1710.1220.3231.000
2023-12-11T09:21:54.754444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관광 동선 구분편의시설 유무편의시설 구분
관광 동선 구분1.0000.1491.000
편의시설 유무0.1491.0000.300
편의시설 구분1.0000.3001.000
2023-12-11T09:21:54.869000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분번호관광 동선 구분편의시설 구분편의시설 유무
구분번호1.0000.0910.0890.040
관광 동선 구분0.0911.0001.0000.149
편의시설 구분0.0891.0001.0000.300
편의시설 유무0.0400.1490.3001.000

Missing values

2023-12-11T09:21:48.503787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:21:48.641754image/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.
2023-12-11T09:21:48.763076image/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

구분번호관광장소명주소관광스팟관광 동선 구분편의시설 구분편의시설 상세구분편의시설 유무편의시설 정보편의시설 상세정보데이터 기준일자
1338071진양호 동물원경남 진주시 판문동 산 171-1(경남 진주시 남강로1번길 130(판문동) 진양호동물원)광장화장실휴게시설화장실일반화장실(여)>출입구 점형블록Y<NA><NA>2022-12-23
1528279남강야외무대경남 진주시 칠암동 478-5(경남 진주시 내동면 삼계로 430)주차장 - 야외무대관광동선보행로n특이사항N<NA><NA>2022-12-23
1244668청곡사경남 진주시 금산면 갈전리 18(경남 진주시 금산면 월아산로1440번길 138 청곡사)<NA>도착주차장자전거 보관소N<NA><NA>2022-12-23
1356671진양호 동물원경남 진주시 판문동 산 171-1(경남 진주시 남강로1번길 130(판문동) 진양호동물원)<NA>관광동선계단n계단 수Y4호랑이 우리 관람을 위한 통로, 입구쪽 2, 출구쪽 22022-12-23
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170010와룡지구 친수생태공원경남 진주시 금산면 중천리 1175-1정신적 치유의 장_5. 모래마당_이동 동선관광동선보행로n점자블럭N<NA><NA>2022-12-23
11378밀알영농우리밀체험관경남 진주시 금곡면 죽곡리 5-9(경남 진주시 금곡면 죽곡길 7)체험관 입구입구출입구경사로>폭Y204cm<NA>2022-12-23
10387둔티산해맞이공원경남 진주시 내동면 유수리 산3-12정자 뒤쪽으로 넘어가는 계단관광동선계단n특이사항N<NA><NA>2022-12-23
595036진주성경남 진주시 본성동 415(남강로 626(본성동))의암입구출입구계단>우회로N<NA><NA>2022-12-23
392930정수예인촌경남 진주시 평촌리 812-1(경남 진주시 이반성면 오봉산로 873 정수예인촌)정수 갤러리입구출입구단차>단차우회로N<NA><NA>2022-12-23
구분번호관광장소명주소관광스팟관광 동선 구분편의시설 구분편의시설 상세구분편의시설 유무편의시설 정보편의시설 상세정보데이터 기준일자
642939진주자유시장경남 진주시 상대동 276-17(경남 진주시 도동천로 93 자유시장)출입구2입구출입구출입문>점자안내N<NA><NA>2022-12-23
1651890두방사경남 진주시 문산읍 상문리 325(경남 진주시 문산읍 동부로781번길 267)<NA>휴게시설화장실일반화장실(여)>안내표지판Y<NA><NA>2022-12-23
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315722비실연꽃마을경남 진주시 명석면 진주대로 1706번길 166북카페입구관광동선보행로n점자블럭N<NA><NA>2022-12-23
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