Overview

Dataset statistics

Number of variables11
Number of observations10000
Missing cells16772
Missing cells (%)15.2%
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://www.data.go.kr/data/15111050/fileData.do

Alerts

데이터 기준일자 has constant value ""Constant
편의시설 구분 is highly overall correlated with 관광 동선 구분High correlation
관광 동선 구분 is highly overall correlated with 편의시설 구분High correlation
관광스팟 has 2339 (23.4%) missing valuesMissing
편의시설 정보 has 6456 (64.6%) missing valuesMissing
편의시설 상세정보 has 7977 (79.8%) missing valuesMissing

Reproduction

Analysis started2023-12-12 17:31:12.540543
Analysis finished2023-12-12 17:31:14.494721
Duration1.95 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%
Mean49.6317
Minimum1
Maximum97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T02:31:14.563776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q135
median53
Q369
95-th percentile91
Maximum97
Range96
Interquartile range (IQR)34

Descriptive statistics

Standard deviation25.086462
Coefficient of variation (CV)0.50545241
Kurtosis-0.84237022
Mean49.6317
Median Absolute Deviation (MAD)17
Skewness-0.15252872
Sum496317
Variance629.33059
MonotonicityNot monotonic
2023-12-13T02:31:14.696202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36 889
 
8.9%
55 722
 
7.2%
78 342
 
3.4%
68 312
 
3.1%
53 303
 
3.0%
71 254
 
2.5%
56 248
 
2.5%
10 241
 
2.4%
61 226
 
2.3%
37 191
 
1.9%
Other values (87) 6272
62.7%
ValueCountFrequency (%)
1 167
1.7%
2 62
 
0.6%
3 31
 
0.3%
4 72
 
0.7%
5 114
1.1%
6 119
1.2%
7 53
 
0.5%
8 54
 
0.5%
9 76
 
0.8%
10 241
2.4%
ValueCountFrequency (%)
97 33
 
0.3%
96 25
 
0.2%
95 47
 
0.5%
94 164
1.6%
93 103
1.0%
92 108
1.1%
91 25
 
0.2%
90 92
0.9%
89 24
 
0.2%
88 22
 
0.2%

관광장소명
Text

Distinct97
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T02:31:14.924025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length7.3765
Min length3

Characters and Unicode

Total characters73765
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 row정수예인촌
2nd row평거녹지대 바닥분수
3rd row경상남도 수목원
4th row남가람공원
5th row진양호 동물원
ValueCountFrequency (%)
진주성 1080
 
7.1%
경상남도 970
 
6.3%
수목원 722
 
4.7%
진주 657
 
4.3%
금호지 424
 
2.8%
진양호 346
 
2.3%
경상남도교육청 342
 
2.2%
과학교육원 342
 
2.2%
청곡사 312
 
2.0%
청동기문화박물관 303
 
2.0%
Other values (114) 9815
64.1%
2023-12-13T02:31:15.310326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5313
 
7.2%
진 3869
 
5.2%
주 3372
 
4.6%
원 3021
 
4.1%
남 1922
 
2.6%
관 1914
 
2.6%
경 1775
 
2.4%
물 1592
 
2.2%
도 1556
 
2.1%
수 1534
 
2.1%
Other values (200) 47897
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 68172
92.4%
Space Separator 5313
 
7.2%
Close Punctuation 140
 
0.2%
Open Punctuation 140
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
진 3869
 
5.7%
주 3372
 
4.9%
원 3021
 
4.4%
남 1922
 
2.8%
관 1914
 
2.8%
경 1775
 
2.6%
물 1592
 
2.3%
도 1556
 
2.3%
수 1534
 
2.3%
성 1526
 
2.2%
Other values (197) 46091
67.6%
Space Separator
ValueCountFrequency (%)
5313
100.0%
Close Punctuation
ValueCountFrequency (%)
) 140
100.0%
Open Punctuation
ValueCountFrequency (%)
( 140
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 68172
92.4%
Common 5593
 
7.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
진 3869
 
5.7%
주 3372
 
4.9%
원 3021
 
4.4%
남 1922
 
2.8%
관 1914
 
2.8%
경 1775
 
2.6%
물 1592
 
2.3%
도 1556
 
2.3%
수 1534
 
2.3%
성 1526
 
2.2%
Other values (197) 46091
67.6%
Common
ValueCountFrequency (%)
5313
95.0%
) 140
 
2.5%
( 140
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 68172
92.4%
ASCII 5593
 
7.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5313
95.0%
) 140
 
2.5%
( 140
 
2.5%
Hangul
ValueCountFrequency (%)
진 3869
 
5.7%
주 3372
 
4.9%
원 3021
 
4.4%
남 1922
 
2.8%
관 1914
 
2.8%
경 1775
 
2.6%
물 1592
 
2.3%
도 1556
 
2.3%
수 1534
 
2.3%
성 1526
 
2.2%
Other values (197) 46091
67.6%

주소
Text

Distinct96
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T02:31:15.564790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length46
Mean length37.6388
Min length6

Characters and Unicode

Total characters376388
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 평촌리 812-1(경남 진주시 이반성면 오봉산로 873 정수예인촌)
2nd row경상남도 진주시 평거동 794-1(경상남도 진주시 남강로 373번길 4 로라스케이트장)
3rd row경남 진주시 이반성면 대천리 482-1(경상남도 진주시 이반성면 수목원로 386 경상남도산림환경연구원)
4th row경남 진주시 망경동 110-1(경상남도 진주시 강남로 320)
5th row경남 진주시 판문동 산 171-1(경남 진주시 남강로1번길 130(판문동) 진양호동물원)
ValueCountFrequency (%)
진주시 17030
22.5%
경남 8563
 
11.3%
이반성면 2013
 
2.7%
금산면 1945
 
2.6%
판문동 1125
 
1.5%
경상남도 1114
 
1.5%
진성면 1077
 
1.4%
수목원로 970
 
1.3%
386 970
 
1.3%
대천리 970
 
1.3%
Other values (292) 39775
52.6%
2023-12-13T02:31:15.972577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
65743
 
17.5%
남 20516
 
5.5%
진 20139
 
5.4%
경 19571
 
5.2%
주 17746
 
4.7%
시 17303
 
4.6%
1 16491
 
4.4%
( 9985
 
2.7%
) 9985
 
2.7%
동 8740
 
2.3%
Other values (157) 170169
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 213866
56.8%
Decimal Number 68357
 
18.2%
Space Separator 65743
 
17.5%
Open Punctuation 9985
 
2.7%
Close Punctuation 9985
 
2.7%
Dash Punctuation 8312
 
2.2%
Other Punctuation 140
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 20516
 
9.6%
진 20139
 
9.4%
경 19571
 
9.2%
주 17746
 
8.3%
시 17303
 
8.1%
동 8740
 
4.1%
면 8327
 
3.9%
로 7833
 
3.7%
산 6251
 
2.9%
성 5472
 
2.6%
Other values (141) 81968
38.3%
Decimal Number
ValueCountFrequency (%)
1 16491
24.1%
5 7662
11.2%
6 7103
10.4%
3 6686
9.8%
8 6208
 
9.1%
2 6073
 
8.9%
4 5978
 
8.7%
7 5722
 
8.4%
0 3650
 
5.3%
9 2784
 
4.1%
Other Punctuation
ValueCountFrequency (%)
? 116
82.9%
, 24
 
17.1%
Space Separator
ValueCountFrequency (%)
65743
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9985
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9985
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8312
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 213866
56.8%
Common 162522
43.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 20516
 
9.6%
진 20139
 
9.4%
경 19571
 
9.2%
주 17746
 
8.3%
시 17303
 
8.1%
동 8740
 
4.1%
면 8327
 
3.9%
로 7833
 
3.7%
산 6251
 
2.9%
성 5472
 
2.6%
Other values (141) 81968
38.3%
Common
ValueCountFrequency (%)
65743
40.5%
1 16491
 
10.1%
( 9985
 
6.1%
) 9985
 
6.1%
- 8312
 
5.1%
5 7662
 
4.7%
6 7103
 
4.4%
3 6686
 
4.1%
8 6208
 
3.8%
2 6073
 
3.7%
Other values (6) 18274
 
11.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 213866
56.8%
ASCII 162522
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
65743
40.5%
1 16491
 
10.1%
( 9985
 
6.1%
) 9985
 
6.1%
- 8312
 
5.1%
5 7662
 
4.7%
6 7103
 
4.4%
3 6686
 
4.1%
8 6208
 
3.8%
2 6073
 
3.7%
Other values (6) 18274
 
11.2%
Hangul
ValueCountFrequency (%)
남 20516
 
9.6%
진 20139
 
9.4%
경 19571
 
9.2%
주 17746
 
8.3%
시 17303
 
8.1%
동 8740
 
4.1%
면 8327
 
3.9%
로 7833
 
3.7%
산 6251
 
2.9%
성 5472
 
2.6%
Other values (141) 81968
38.3%

관광스팟
Text

MISSING 

Distinct1409
Distinct (%)18.4%
Missing2339
Missing (%)23.4%
Memory size156.2 KiB
2023-12-13T02:31:16.269702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length29
Mean length9.5770787
Min length2

Characters and Unicode

Total characters73370
Distinct characters394
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

Unique132 ?
Unique (%)1.7%

Sample

1st row다목적 센터
2nd row동선7
3rd row4번 화장실
4th row강변과 남가람공원 사이길
5th row동물원 화장실
ValueCountFrequency (%)
화장실 917
 
4.6%
891
 
4.4%
계단 686
 
3.4%
가는 498
 
2.5%
1층 394
 
2.0%
입구 394
 
2.0%
2층 374
 
1.9%
길 332
 
1.7%
보행로 320
 
1.6%
앞 310
 
1.5%
Other values (963) 14926
74.5%
2023-12-13T02:31:16.795143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12381
 
16.9%
장 3085
 
4.2%
실 2025
 
2.8%
화 1770
 
2.4%
1 1600
 
2.2%
로 1598
 
2.2%
입 1469
 
2.0%
2 1451
 
2.0%
구 1311
 
1.8%
가 1218
 
1.7%
Other values (384) 45462
62.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 54761
74.6%
Space Separator 12381
 
16.9%
Decimal Number 4150
 
5.7%
Other Punctuation 920
 
1.3%
Connector Punctuation 332
 
0.5%
Math Symbol 319
 
0.4%
Dash Punctuation 172
 
0.2%
Open Punctuation 137
 
0.2%
Close Punctuation 137
 
0.2%
Uppercase Letter 61
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 3085
 
5.6%
실 2025
 
3.7%
화 1770
 
3.2%
로 1598
 
2.9%
입 1469
 
2.7%
구 1311
 
2.4%
가 1218
 
2.2%
는 1157
 
2.1%
층 1123
 
2.1%
문 1069
 
2.0%
Other values (357) 38936
71.1%
Decimal Number
ValueCountFrequency (%)
1 1600
38.6%
2 1451
35.0%
3 421
 
10.1%
4 260
 
6.3%
7 115
 
2.8%
5 111
 
2.7%
6 106
 
2.6%
8 50
 
1.2%
0 34
 
0.8%
9 2
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
P 26
42.6%
D 22
36.1%
C 4
 
6.6%
B 4
 
6.6%
M 4
 
6.6%
X 1
 
1.6%
Other Punctuation
ValueCountFrequency (%)
: 632
68.7%
. 148
 
16.1%
, 125
 
13.6%
& 13
 
1.4%
/ 2
 
0.2%
Space Separator
ValueCountFrequency (%)
12381
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 332
100.0%
Math Symbol
ValueCountFrequency (%)
~ 319
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 172
100.0%
Open Punctuation
ValueCountFrequency (%)
( 137
100.0%
Close Punctuation
ValueCountFrequency (%)
) 137
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 54761
74.6%
Common 18548
 
25.3%
Latin 61
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 3085
 
5.6%
실 2025
 
3.7%
화 1770
 
3.2%
로 1598
 
2.9%
입 1469
 
2.7%
구 1311
 
2.4%
가 1218
 
2.2%
는 1157
 
2.1%
층 1123
 
2.1%
문 1069
 
2.0%
Other values (357) 38936
71.1%
Common
ValueCountFrequency (%)
12381
66.8%
1 1600
 
8.6%
2 1451
 
7.8%
: 632
 
3.4%
3 421
 
2.3%
_ 332
 
1.8%
~ 319
 
1.7%
4 260
 
1.4%
- 172
 
0.9%
. 148
 
0.8%
Other values (11) 832
 
4.5%
Latin
ValueCountFrequency (%)
P 26
42.6%
D 22
36.1%
C 4
 
6.6%
B 4
 
6.6%
M 4
 
6.6%
X 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 54761
74.6%
ASCII 18609
 
25.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12381
66.5%
1 1600
 
8.6%
2 1451
 
7.8%
: 632
 
3.4%
3 421
 
2.3%
_ 332
 
1.8%
~ 319
 
1.7%
4 260
 
1.4%
- 172
 
0.9%
. 148
 
0.8%
Other values (17) 893
 
4.8%
Hangul
ValueCountFrequency (%)
장 3085
 
5.6%
실 2025
 
3.7%
화 1770
 
3.2%
로 1598
 
2.9%
입 1469
 
2.7%
구 1311
 
2.4%
가 1218
 
2.2%
는 1157
 
2.1%
층 1123
 
2.1%
문 1069
 
2.0%
Other values (357) 38936
71.1%

관광 동선 구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
관광동선
3433 
휴게시설
3005 
입구
2387 
도착
693 
관광콘텐츠
482 

Length

Max length5
Median length4
Mean length3.4322
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관광동선 3433
34.3%
휴게시설 3005
30.0%
입구 2387
23.9%
도착 693
 
6.9%
관광콘텐츠 482
 
4.8%

Length

2023-12-13T02:31:17.019827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:31:17.154358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광동선 3433
34.3%
휴게시설 3005
30.0%
입구 2387
23.9%
도착 693
 
6.9%
관광콘텐츠 482
 
4.8%

편의시설 구분
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
출입구
2387 
화장실
2274 
보행로n
1613 
계단n
1042 
경사로n
742 
Other values (8)
1942 

Length

Max length5
Median length3
Mean length3.3909
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출입구 2387
23.9%
화장실 2274
22.7%
보행로n 1613
16.1%
계단n 1042
10.4%
경사로n 742
 
7.4%
휴식공간 693
 
6.9%
주차장 616
 
6.2%
관광안내소 341
 
3.4%
체험활동 115
 
1.1%
매표소 77
 
0.8%
Other values (3) 100
 
1.0%

Length

2023-12-13T02:31:17.305860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
출입구 2387
23.9%
화장실 2274
22.7%
보행로n 1613
16.1%
계단n 1042
10.4%
경사로n 742
 
7.4%
휴식공간 693
 
6.9%
주차장 616
 
6.2%
관광안내소 341
 
3.4%
체험활동 115
 
1.1%
매표소 77
 
0.8%
Other values (3) 100
 
1.0%

편의시설 상세구분
Text

Distinct179
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T02:31:17.630733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length7.6161
Min length1

Characters and Unicode

Total characters76161
Distinct characters118
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

Unique4 ?
Unique (%)< 0.1%

Sample

1st row출입문>점자안내
2nd row폭
3rd row일반화장실(남)>소변기
4th row안내 표지판
5th row경사로>경사구간
ValueCountFrequency (%)
단차 505
 
4.4%
특이사항 403
 
3.5%
수 392
 
3.4%
구간(길이 377
 
3.3%
폭 373
 
3.2%
점형블록 353
 
3.1%
출입문 309
 
2.7%
점자블럭 257
 
2.2%
재질 245
 
2.1%
바닥 236
 
2.0%
Other values (173) 8121
70.2%
2023-12-13T02:31:18.113643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
> 5374
 
7.1%
장 3397
 
4.5%
이 2569
 
3.4%
입 2538
 
3.3%
출 2538
 
3.3%
실 2514
 
3.3%
) 2499
 
3.3%
( 2499
 
3.3%
화 2274
 
3.0%
단 2033
 
2.7%
Other values (108) 47926
62.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 63753
83.7%
Math Symbol 5374
 
7.1%
Close Punctuation 2499
 
3.3%
Open Punctuation 2499
 
3.3%
Space Separator 1571
 
2.1%
Connector Punctuation 456
 
0.6%
Lowercase Letter 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 3397
 
5.3%
이 2569
 
4.0%
입 2538
 
4.0%
출 2538
 
4.0%
실 2514
 
3.9%
화 2274
 
3.6%
단 2033
 
3.2%
문 1964
 
3.1%
사 1711
 
2.7%
일 1527
 
2.4%
Other values (102) 40688
63.8%
Math Symbol
ValueCountFrequency (%)
> 5374
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2499
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2499
100.0%
Space Separator
ValueCountFrequency (%)
1571
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 456
100.0%
Lowercase Letter
ValueCountFrequency (%)
n 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 63753
83.7%
Common 12399
 
16.3%
Latin 9
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 3397
 
5.3%
이 2569
 
4.0%
입 2538
 
4.0%
출 2538
 
4.0%
실 2514
 
3.9%
화 2274
 
3.6%
단 2033
 
3.2%
문 1964
 
3.1%
사 1711
 
2.7%
일 1527
 
2.4%
Other values (102) 40688
63.8%
Common
ValueCountFrequency (%)
> 5374
43.3%
) 2499
20.2%
( 2499
20.2%
1571
 
12.7%
_ 456
 
3.7%
Latin
ValueCountFrequency (%)
n 9
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 63753
83.7%
ASCII 12408
 
16.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
> 5374
43.3%
) 2499
20.1%
( 2499
20.1%
1571
 
12.7%
_ 456
 
3.7%
n 9
 
0.1%
Hangul
ValueCountFrequency (%)
장 3397
 
5.3%
이 2569
 
4.0%
입 2538
 
4.0%
출 2538
 
4.0%
실 2514
 
3.9%
화 2274
 
3.6%
단 2033
 
3.2%
문 1964
 
3.1%
사 1711
 
2.7%
일 1527
 
2.4%
Other values (102) 40688
63.8%

편의시설 유무
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
5706 
True
4294 
ValueCountFrequency (%)
False 5706
57.1%
True 4294
42.9%
2023-12-13T02:31:18.214115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

편의시설 정보
Text

MISSING 

Distinct1226
Distinct (%)34.6%
Missing6456
Missing (%)64.6%
Memory size156.2 KiB
2023-12-13T02:31:18.483750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length132
Median length112
Mean length6.3380361
Min length1

Characters and Unicode

Total characters22462
Distinct characters465
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

Unique812 ?
Unique (%)22.9%

Sample

1st row370cm
2nd row2
3rd row235(250)cm
4th row26
5th row40cm
ValueCountFrequency (%)
1 173
 
3.0%
2 155
 
2.7%
재질이다 95
 
1.6%
3 86
 
1.5%
아스팔트 82
 
1.4%
질퍽거리지 79
 
1.4%
않는 78
 
1.3%
비가 68
 
1.2%
평평한 63
 
1.1%
62
 
1.1%
Other values (1738) 4898
83.9%
2023-12-13T02:31:18.953759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2295
 
10.2%
m 1945
 
8.7%
c 1944
 
8.7%
1 1378
 
6.1%
2 941
 
4.2%
0 877
 
3.9%
3 728
 
3.2%
5 648
 
2.9%
4 535
 
2.4%
. 486
 
2.2%
Other values (455) 10685
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8507
37.9%
Decimal Number 6796
30.3%
Lowercase Letter 3889
17.3%
Space Separator 2295
 
10.2%
Other Punctuation 863
 
3.8%
Uppercase Letter 38
 
0.2%
Close Punctuation 33
 
0.1%
Open Punctuation 33
 
0.1%
Dash Punctuation 7
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
질 280
 
3.3%
이 269
 
3.2%
재 237
 
2.8%
평 175
 
2.1%
지 169
 
2.0%
가 168
 
2.0%
거 156
 
1.8%
로 136
 
1.6%
아 129
 
1.5%
다 122
 
1.4%
Other values (425) 6666
78.4%
Decimal Number
ValueCountFrequency (%)
1 1378
20.3%
2 941
13.8%
0 877
12.9%
3 728
10.7%
5 648
9.5%
4 535
 
7.9%
6 458
 
6.7%
7 434
 
6.4%
8 404
 
5.9%
9 393
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
M 15
39.5%
C 15
39.5%
X 3
 
7.9%
D 2
 
5.3%
V 1
 
2.6%
R 1
 
2.6%
B 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
. 486
56.3%
, 307
35.6%
: 56
 
6.5%
/ 9
 
1.0%
* 4
 
0.5%
& 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
m 1945
50.0%
c 1944
50.0%
Space Separator
ValueCountFrequency (%)
2295
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10028
44.6%
Hangul 8507
37.9%
Latin 3927
 
17.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
질 280
 
3.3%
이 269
 
3.2%
재 237
 
2.8%
평 175
 
2.1%
지 169
 
2.0%
가 168
 
2.0%
거 156
 
1.8%
로 136
 
1.6%
아 129
 
1.5%
다 122
 
1.4%
Other values (425) 6666
78.4%
Common
ValueCountFrequency (%)
2295
22.9%
1 1378
13.7%
2 941
9.4%
0 877
 
8.7%
3 728
 
7.3%
5 648
 
6.5%
4 535
 
5.3%
. 486
 
4.8%
6 458
 
4.6%
7 434
 
4.3%
Other values (11) 1248
12.4%
Latin
ValueCountFrequency (%)
m 1945
49.5%
c 1944
49.5%
M 15
 
0.4%
C 15
 
0.4%
X 3
 
0.1%
D 2
 
0.1%
V 1
 
< 0.1%
R 1
 
< 0.1%
B 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13955
62.1%
Hangul 8507
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2295
16.4%
m 1945
13.9%
c 1944
13.9%
1 1378
9.9%
2 941
6.7%
0 877
 
6.3%
3 728
 
5.2%
5 648
 
4.6%
4 535
 
3.8%
. 486
 
3.5%
Other values (20) 2178
15.6%
Hangul
ValueCountFrequency (%)
질 280
 
3.3%
이 269
 
3.2%
재 237
 
2.8%
평 175
 
2.1%
지 169
 
2.0%
가 168
 
2.0%
거 156
 
1.8%
로 136
 
1.6%
아 129
 
1.5%
다 122
 
1.4%
Other values (425) 6666
78.4%

편의시설 상세정보
Text

MISSING 

Distinct674
Distinct (%)33.3%
Missing7977
Missing (%)79.8%
Memory size156.2 KiB
2023-12-13T02:31:19.267713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length151
Median length96
Mean length14.786456
Min length2

Characters and Unicode

Total characters29913
Distinct characters464
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique406 ?
Unique (%)20.1%

Sample

1st row일반 소변기 1개, 장애인용 소변기 1개
2nd row여자화장실 겸 여자장애인화장실 겸 가족화장실, 알림벨2개
3rd row1층 여자화장실 안에 위치
4th row진주성 유료 공영주차장
5th row자동문
ValueCountFrequency (%)
400
 
5.0%
화장실 194
 
2.4%
위치 189
 
2.4%
안에 170
 
2.1%
1층 139
 
1.7%
계단 132
 
1.7%
일반 124
 
1.6%
앞 115
 
1.4%
있음 102
 
1.3%
2층 89
 
1.1%
Other values (1334) 6339
79.3%
2023-12-13T02:31:20.113212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5972
 
20.0%
장 1251
 
4.2%
실 814
 
2.7%
화 795
 
2.7%
1 711
 
2.4%
에 501
 
1.7%
, 461
 
1.5%
: 439
 
1.5%
2 439
 
1.5%
단 398
 
1.3%
Other values (454) 18132
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20676
69.1%
Space Separator 5972
 
20.0%
Decimal Number 1823
 
6.1%
Other Punctuation 1043
 
3.5%
Lowercase Letter 117
 
0.4%
Math Symbol 94
 
0.3%
Open Punctuation 80
 
0.3%
Close Punctuation 80
 
0.3%
Uppercase Letter 17
 
0.1%
Dash Punctuation 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 1251
 
6.1%
실 814
 
3.9%
화 795
 
3.8%
에 501
 
2.4%
단 398
 
1.9%
문 378
 
1.8%
계 325
 
1.6%
이 321
 
1.6%
사 318
 
1.5%
자 311
 
1.5%
Other values (408) 15264
73.8%
Lowercase Letter
ValueCountFrequency (%)
m 48
41.0%
c 46
39.3%
x 3
 
2.6%
r 2
 
1.7%
t 2
 
1.7%
p 2
 
1.7%
e 2
 
1.7%
a 2
 
1.7%
o 2
 
1.7%
l 2
 
1.7%
Other values (6) 6
 
5.1%
Decimal Number
ValueCountFrequency (%)
1 711
39.0%
2 439
24.1%
3 136
 
7.5%
0 116
 
6.4%
5 90
 
4.9%
4 89
 
4.9%
7 82
 
4.5%
8 58
 
3.2%
6 52
 
2.9%
9 50
 
2.7%
Other Punctuation
ValueCountFrequency (%)
, 461
44.2%
: 439
42.1%
. 109
 
10.5%
* 17
 
1.6%
& 8
 
0.8%
/ 7
 
0.7%
; 1
 
0.1%
※ 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
Q 6
35.3%
R 6
35.3%
X 4
23.5%
D 1
 
5.9%
Math Symbol
ValueCountFrequency (%)
~ 92
97.9%
= 1
 
1.1%
+ 1
 
1.1%
Space Separator
ValueCountFrequency (%)
5972
100.0%
Open Punctuation
ValueCountFrequency (%)
( 80
100.0%
Close Punctuation
ValueCountFrequency (%)
) 80
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20676
69.1%
Common 9103
30.4%
Latin 134
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 1251
 
6.1%
실 814
 
3.9%
화 795
 
3.8%
에 501
 
2.4%
단 398
 
1.9%
문 378
 
1.8%
계 325
 
1.6%
이 321
 
1.6%
사 318
 
1.5%
자 311
 
1.5%
Other values (408) 15264
73.8%
Common
ValueCountFrequency (%)
5972
65.6%
1 711
 
7.8%
, 461
 
5.1%
: 439
 
4.8%
2 439
 
4.8%
3 136
 
1.5%
0 116
 
1.3%
. 109
 
1.2%
~ 92
 
1.0%
5 90
 
1.0%
Other values (16) 538
 
5.9%
Latin
ValueCountFrequency (%)
m 48
35.8%
c 46
34.3%
Q 6
 
4.5%
R 6
 
4.5%
X 4
 
3.0%
x 3
 
2.2%
r 2
 
1.5%
t 2
 
1.5%
p 2
 
1.5%
e 2
 
1.5%
Other values (10) 13
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20675
69.1%
ASCII 9236
30.9%
Punctuation 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5972
64.7%
1 711
 
7.7%
, 461
 
5.0%
: 439
 
4.8%
2 439
 
4.8%
3 136
 
1.5%
0 116
 
1.3%
. 109
 
1.2%
~ 92
 
1.0%
5 90
 
1.0%
Other values (35) 671
 
7.3%
Hangul
ValueCountFrequency (%)
장 1251
 
6.1%
실 814
 
3.9%
화 795
 
3.8%
에 501
 
2.4%
단 398
 
1.9%
문 378
 
1.8%
계 325
 
1.6%
이 321
 
1.6%
사 318
 
1.5%
자 311
 
1.5%
Other values (407) 15263
73.8%
Punctuation
ValueCountFrequency (%)
※ 1
100.0%
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

2023-12-13T02:31:20.234836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:31:20.316044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-12-23 10000
100.0%

Interactions

2023-12-13T02:31:14.008310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:31:20.376621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분번호관광장소명주소관광 동선 구분편의시설 구분편의시설 유무
구분번호1.0001.0001.0000.2090.2030.046
관광장소명1.0001.0001.0000.4990.5810.175
주소1.0001.0001.0000.4990.5800.179
관광 동선 구분0.2090.4990.4991.0001.0000.128
편의시설 구분0.2030.5810.5801.0001.0000.327
편의시설 유무0.0460.1750.1790.1280.3271.000
2023-12-13T02:31:20.495376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
편의시설 구분관광 동선 구분편의시설 유무
편의시설 구분1.0001.0000.305
관광 동선 구분1.0001.0000.156
편의시설 유무0.3050.1561.000
2023-12-13T02:31:20.584364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분번호관광 동선 구분편의시설 구분편의시설 유무
구분번호1.0000.0880.0850.035
관광 동선 구분0.0881.0001.0000.156
편의시설 구분0.0851.0001.0000.305
편의시설 유무0.0350.1560.3051.000

Missing values

2023-12-13T02:31:14.160904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:31:14.316465image/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.
2023-12-13T02:31:14.438371image/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
393430정수예인촌경남 진주시 평촌리 812-1(경남 진주시 이반성면 오봉산로 873 정수예인촌)다목적 센터입구출입구출입문>점자안내N<NA><NA>2022-12-23
736145평거녹지대 바닥분수경상남도 진주시 평거동 794-1(경상남도 진주시 남강로 373번길 4 로라스케이트장)동선7관광동선보행로n폭Y370cm<NA>2022-12-23
927555경상남도 수목원경남 진주시 이반성면 대천리 482-1(경상남도 진주시 이반성면 수목원로 386 경상남도산림환경연구원)4번 화장실휴게시설화장실일반화장실(남)>소변기Y2일반 소변기 1개, 장애인용 소변기 1개2022-12-23
8916남가람공원경남 진주시 망경동 110-1(경상남도 진주시 강남로 320)강변과 남가람공원 사이길휴게시설휴식공간안내 표지판N<NA><NA>2022-12-23
1364071진양호 동물원경남 진주시 판문동 산 171-1(경남 진주시 남강로1번길 130(판문동) 진양호동물원)동물원 화장실입구출입구경사로>경사구간N<NA><NA>2022-12-23
1733095지신정경남 진주시 지수면 승산리보행로 1관광동선보행로n구간(길이)N<NA><NA>2022-12-23
1203464비봉산 대봉정경상남도 진주시 옥봉동 산1-1(경남 진주시 향교로105번길 19-1)<NA>휴게시설화장실일반화장실(여)>경보설비Y<NA><NA>2022-12-23
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277520봉황교(봉황교 소공원)경상남도 진주시 옥봉동 산13-13 선학산 전망대(경상남도 진주시 남강로 751-51(옥봉동))<NA>도착주차장일반주차구역>폭Y235(250)cm<NA>2022-12-23
1624986송림공원경남 진주시 상평동 221-8이동 동선4관광동선보행로n구간(길이)N<NA><NA>2022-12-23
구분번호관광장소명주소관광스팟관광 동선 구분편의시설 구분편의시설 상세구분편의시설 유무편의시설 정보편의시설 상세정보데이터 기준일자
582236진주성경남 진주시 본성동 415(남강로 626(본성동))창렬사 : 출입구2 앞관광동선보행로n특이사항N<NA><NA>2022-12-23
216114내촌마을경남 진주시 대평면 내촌리 786-9(경남 진주시 대평면 금성로 422-33 내촌호수마을농촌체험방)물안개방관광동선계단n폭Y90cm<NA>2022-12-23
1404974꿈키움동산 어린이농촌테마 체험관경남 진주시 판문동 477(경남 진주시 판문오동길 99-7 (판문동))<NA>휴게시설화장실장애인전용화장실(여)>안내표지판Y<NA><NA>2022-12-23
1006555경상남도 수목원경남 진주시 이반성면 대천리 482-1(경상남도 진주시 이반성면 수목원로 386 경상남도산림환경연구원)야생동물 관찰원 : 경사로2관광동선경사로n경사도Y7.95<NA>2022-12-23
296820봉황교(봉황교 소공원)경상남도 진주시 옥봉동 산13-13 선학산 전망대(경상남도 진주시 남강로 751-51(옥봉동))봉황교 소공원 화장실휴게시설화장실장애인전용화장실(여)>경보설비Y<NA>일반화장실 안에 위치2022-12-23
1096257강주연못경남 진주시 정촌면 예하리 911-112_연못 위 나무 다리 출입구쪽 경사로1관광동선경사로n구간(폭)Y165cm<NA>2022-12-23
1236965선학산 전망대경상남도 진주시 옥봉동 산13-13(경상남도 진주시 남강로 751-51)<NA>관광동선경사로n구간(폭)Y290cm<NA>2022-12-23
1357071진양호 동물원경남 진주시 판문동 산 171-1(경남 진주시 남강로1번길 130(판문동) 진양호동물원)<NA>관광동선계단n손잡이N<NA>호랑이 우리 관람을 위한 통로2022-12-23
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