Overview

Dataset statistics

Number of variables29
Number of observations10000
Missing cells39422
Missing cells (%)13.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 MiB
Average record size in memory244.0 B

Variable types

Text12
Numeric4
Categorical13

Dataset

Description아이디,새주소 아이디,시설 아이디,시설명,출입구 아이디,위도,경도,출입구 구분,출입 구분,자전거 출입,경사로,에스컬레이트,장애인용 에스컬레이트,점자블록,출입구 높이차이,출입구 문폭,출입구 활동공간,출입구 단차,출입구 형태,평일 허용시간,토요일 허용시간,일요일 허용시간,공휴일 허용시간,기타,국가지점번호,데이터 기준일자,정면이미지명,좌측 원경 이미지명,우측 원경 이미지명
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-21699/S/1/datasetView.do

Alerts

데이터 기준일자 has constant value ""Constant
출입 구분 is highly imbalanced (93.1%)Imbalance
자전거 출입 is highly imbalanced (50.9%)Imbalance
경사로 is highly imbalanced (66.2%)Imbalance
에스컬레이트 is highly imbalanced (93.6%)Imbalance
장애인용 에스컬레이트 is highly imbalanced (95.7%)Imbalance
출입구 활동공간 is highly imbalanced (68.2%)Imbalance
출입구 단차 is highly imbalanced (58.2%)Imbalance
새주소 아이디 has 8770 (87.7%) missing valuesMissing
평일 허용시간 has 4105 (41.0%) missing valuesMissing
토요일 허용시간 has 6769 (67.7%) missing valuesMissing
일요일 허용시간 has 6816 (68.2%) missing valuesMissing
공휴일 허용시간 has 4395 (44.0%) missing valuesMissing
기타 has 8567 (85.7%) missing valuesMissing
아이디 has unique valuesUnique
정면이미지명 has unique valuesUnique
좌측 원경 이미지명 has unique valuesUnique
우측 원경 이미지명 has unique valuesUnique

Reproduction

Analysis started2023-12-11 06:56:57.387289
Analysis finished2023-12-11 06:56:59.506128
Duration2.12 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

아이디
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T15:56:59.773770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters90000
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st rowB0183_006
2nd rowP0284_014
3rd rowP0797_003
4th rowB0424_001
5th rowB1691_004
ValueCountFrequency (%)
b0183_006 1
 
< 0.1%
b1781_003 1
 
< 0.1%
p0117_005 1
 
< 0.1%
b0108_020 1
 
< 0.1%
p1018_002 1
 
< 0.1%
b0550_003 1
 
< 0.1%
p0971_001 1
 
< 0.1%
b1538_003 1
 
< 0.1%
p1308_002 1
 
< 0.1%
b1238_027 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-11T15:57:00.357745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 28582
31.8%
1 10463
 
11.6%
_ 10000
 
11.1%
B 6604
 
7.3%
2 6293
 
7.0%
3 4795
 
5.3%
4 3897
 
4.3%
5 3579
 
4.0%
6 3469
 
3.9%
P 3113
 
3.5%
Other values (4) 9205
 
10.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 70000
77.8%
Connector Punctuation 10000
 
11.1%
Uppercase Letter 10000
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 28582
40.8%
1 10463
 
14.9%
2 6293
 
9.0%
3 4795
 
6.9%
4 3897
 
5.6%
5 3579
 
5.1%
6 3469
 
5.0%
8 3048
 
4.4%
7 2957
 
4.2%
9 2917
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
B 6604
66.0%
P 3113
31.1%
R 283
 
2.8%
Connector Punctuation
ValueCountFrequency (%)
_ 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 80000
88.9%
Latin 10000
 
11.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 28582
35.7%
1 10463
 
13.1%
_ 10000
 
12.5%
2 6293
 
7.9%
3 4795
 
6.0%
4 3897
 
4.9%
5 3579
 
4.5%
6 3469
 
4.3%
8 3048
 
3.8%
7 2957
 
3.7%
Latin
ValueCountFrequency (%)
B 6604
66.0%
P 3113
31.1%
R 283
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 90000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 28582
31.8%
1 10463
 
11.6%
_ 10000
 
11.1%
B 6604
 
7.3%
2 6293
 
7.0%
3 4795
 
5.3%
4 3897
 
4.3%
5 3579
 
4.0%
6 3469
 
3.9%
P 3113
 
3.5%
Other values (4) 9205
 
10.2%

새주소 아이디
Real number (ℝ)

MISSING 

Distinct569
Distinct (%)46.3%
Missing8770
Missing (%)87.7%
Infinite0
Infinite (%)0.0%
Mean7.0781568 × 1024
Minimum1.1110107 × 1023
Maximum1.1740109 × 1025
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T15:57:00.564748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1110107 × 1023
5-th percentile1.1693611 × 1023
Q11.1440112 × 1024
median1.1260106 × 1025
Q31.1560133 × 1025
95-th percentile1.1710104 × 1025
Maximum1.1740109 × 1025
Range1.1629008 × 1025
Interquartile range (IQR)1.0416122 × 1025

Descriptive statistics

Standard deviation5.2035086 × 1024
Coefficient of variation (CV)0.73515022
Kurtosis-1.8853158
Mean7.0781568 × 1024
Median Absolute Deviation (MAD)4.2000545 × 1023
Skewness-0.32429389
Sum8.7061329 × 1027
Variance2.7076501 × 1049
MonotonicityNot monotonic
2023-12-11T15:57:00.754225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.16501082102001e+25 17
 
0.2%
1.16801052122002e+25 14
 
0.1%
1.15451013116013e+25 12
 
0.1%
1.17101013123023e+25 10
 
0.1%
1.13501064130198e+24 9
 
0.1%
1.16801082122001e+25 9
 
0.1%
1.13501053000001e+25 8
 
0.1%
1.16801082102001e+25 8
 
0.1%
1.16801054166765e+24 8
 
0.1%
1.17401013124001e+25 8
 
0.1%
Other values (559) 1127
 
11.3%
(Missing) 8770
87.7%
ValueCountFrequency (%)
1.11101074100282e+23 1
 
< 0.1%
1.11101214100003e+23 1
 
< 0.1%
1.11401123101018e+23 2
< 0.1%
1.11401124103022e+23 2
< 0.1%
1.11401214103017e+23 4
< 0.1%
1.11401623005009e+23 4
< 0.1%
1.1140162410305e+23 2
< 0.1%
1.12001044109248e+23 1
 
< 0.1%
1.12001093103006e+23 1
 
< 0.1%
1.12001144109454e+23 3
< 0.1%
ValueCountFrequency (%)
1.17401093123023e+25 3
< 0.1%
1.17401093016054e+25 1
 
< 0.1%
1.17401092000006e+25 3
< 0.1%
1.17401083123024e+25 2
 
< 0.1%
1.17401082000006e+25 6
0.1%
1.17401063123024e+25 1
 
< 0.1%
1.17401062000006e+25 2
 
< 0.1%
1.17401052000008e+25 3
< 0.1%
1.17401052000006e+25 2
 
< 0.1%
1.17401023124001e+25 1
 
< 0.1%

시설 아이디
Text

Distinct2910
Distinct (%)29.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T15:57:01.176040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters50000
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique985 ?
Unique (%)9.8%

Sample

1st rowB0183
2nd rowP0284
3rd rowP0797
4th rowB0424
5th rowB1691
ValueCountFrequency (%)
r0002 109
 
1.1%
b0056 87
 
0.9%
b0084 75
 
0.8%
b0089 74
 
0.7%
b0212 70
 
0.7%
r0003 55
 
0.5%
b0206 54
 
0.5%
r0004 48
 
0.5%
b0204 46
 
0.5%
b0899 42
 
0.4%
Other values (2900) 9340
93.4%
2023-12-11T15:57:01.825428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10848
21.7%
1 6708
13.4%
B 6604
13.2%
2 3804
 
7.6%
3 3114
 
6.2%
P 3113
 
6.2%
6 2732
 
5.5%
5 2670
 
5.3%
4 2663
 
5.3%
8 2582
 
5.2%
Other values (3) 5162
10.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40000
80.0%
Uppercase Letter 10000
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10848
27.1%
1 6708
16.8%
2 3804
 
9.5%
3 3114
 
7.8%
6 2732
 
6.8%
5 2670
 
6.7%
4 2663
 
6.7%
8 2582
 
6.5%
9 2473
 
6.2%
7 2406
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
B 6604
66.0%
P 3113
31.1%
R 283
 
2.8%

Most occurring scripts

ValueCountFrequency (%)
Common 40000
80.0%
Latin 10000
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10848
27.1%
1 6708
16.8%
2 3804
 
9.5%
3 3114
 
7.8%
6 2732
 
6.8%
5 2670
 
6.7%
4 2663
 
6.7%
8 2582
 
6.5%
9 2473
 
6.2%
7 2406
 
6.0%
Latin
ValueCountFrequency (%)
B 6604
66.0%
P 3113
31.1%
R 283
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 50000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10848
21.7%
1 6708
13.4%
B 6604
13.2%
2 3804
 
7.6%
3 3114
 
6.2%
P 3113
 
6.2%
6 2732
 
5.5%
5 2670
 
5.3%
4 2663
 
5.3%
8 2582
 
5.2%
Other values (3) 5162
10.3%

시설명
Text

Distinct2747
Distinct (%)27.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T15:57:02.439666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length24
Mean length6.9331
Min length2

Characters and Unicode

Total characters69331
Distinct characters653
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique884 ?
Unique (%)8.8%

Sample

1st row파크에비뉴 엔터식스 한양대점
2nd row응봉공원
3rd row산철쭉공원
4th row개봉어린이도서관
5th row구로구청
ValueCountFrequency (%)
롯데백화점 149
 
1.3%
안양천 109
 
1.0%
가든파이브 98
 
0.9%
이마트 96
 
0.8%
롯데몰김포공항 87
 
0.8%
중앙유통단지 75
 
0.7%
구로기계공구상가 74
 
0.6%
라이프 70
 
0.6%
홈플러스 68
 
0.6%
보건소 57
 
0.5%
Other values (2866) 10575
92.3%
2023-12-11T15:57:03.013719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 4772
 
6.9%
공 3230
 
4.7%
이 1527
 
2.2%
1460
 
2.1%
린 1350
 
1.9%
병 1253
 
1.8%
서 1221
 
1.8%
점 1106
 
1.6%
관 1025
 
1.5%
대 972
 
1.4%
Other values (643) 51415
74.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66027
95.2%
Space Separator 1460
 
2.1%
Decimal Number 580
 
0.8%
Uppercase Letter 394
 
0.6%
Open Punctuation 268
 
0.4%
Close Punctuation 265
 
0.4%
Other Symbol 126
 
0.2%
Lowercase Letter 94
 
0.1%
Dash Punctuation 53
 
0.1%
Connector Punctuation 29
 
< 0.1%
Other values (3) 35
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 4772
 
7.2%
공 3230
 
4.9%
이 1527
 
2.3%
린 1350
 
2.0%
병 1253
 
1.9%
서 1221
 
1.8%
점 1106
 
1.7%
관 1025
 
1.6%
대 972
 
1.5%
스 856
 
1.3%
Other values (577) 48715
73.8%
Uppercase Letter
ValueCountFrequency (%)
E 54
13.7%
S 42
 
10.7%
C 38
 
9.6%
A 25
 
6.3%
G 24
 
6.1%
T 23
 
5.8%
R 22
 
5.6%
N 22
 
5.6%
L 21
 
5.3%
W 16
 
4.1%
Other values (11) 107
27.2%
Lowercase Letter
ValueCountFrequency (%)
e 23
24.5%
l 16
17.0%
c 9
 
9.6%
x 6
 
6.4%
m 6
 
6.4%
t 5
 
5.3%
u 5
 
5.3%
a 4
 
4.3%
i 3
 
3.2%
k 3
 
3.2%
Other values (8) 14
14.9%
Decimal Number
ValueCountFrequency (%)
1 176
30.3%
2 159
27.4%
0 54
 
9.3%
3 53
 
9.1%
4 42
 
7.2%
5 40
 
6.9%
6 29
 
5.0%
9 12
 
2.1%
8 8
 
1.4%
7 7
 
1.2%
Other Punctuation
ValueCountFrequency (%)
? 10
52.6%
, 4
 
21.1%
& 3
 
15.8%
. 1
 
5.3%
' 1
 
5.3%
Open Punctuation
ValueCountFrequency (%)
( 266
99.3%
[ 2
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 263
99.2%
] 2
 
0.8%
Letter Number
ValueCountFrequency (%)
Ⅰ 9
64.3%
Ⅱ 5
35.7%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Space Separator
ValueCountFrequency (%)
1460
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 126
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66153
95.4%
Common 2676
 
3.9%
Latin 502
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 4772
 
7.2%
공 3230
 
4.9%
이 1527
 
2.3%
린 1350
 
2.0%
병 1253
 
1.9%
서 1221
 
1.8%
점 1106
 
1.7%
관 1025
 
1.5%
대 972
 
1.5%
스 856
 
1.3%
Other values (578) 48841
73.8%
Latin
ValueCountFrequency (%)
E 54
 
10.8%
S 42
 
8.4%
C 38
 
7.6%
A 25
 
5.0%
G 24
 
4.8%
e 23
 
4.6%
T 23
 
4.6%
R 22
 
4.4%
N 22
 
4.4%
L 21
 
4.2%
Other values (31) 208
41.4%
Common
ValueCountFrequency (%)
1460
54.6%
( 266
 
9.9%
) 263
 
9.8%
1 176
 
6.6%
2 159
 
5.9%
0 54
 
2.0%
3 53
 
2.0%
- 53
 
2.0%
4 42
 
1.6%
5 40
 
1.5%
Other values (14) 110
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66027
95.2%
ASCII 3164
 
4.6%
None 126
 
0.2%
Number Forms 14
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 4772
 
7.2%
공 3230
 
4.9%
이 1527
 
2.3%
린 1350
 
2.0%
병 1253
 
1.9%
서 1221
 
1.8%
점 1106
 
1.7%
관 1025
 
1.6%
대 972
 
1.5%
스 856
 
1.3%
Other values (577) 48715
73.8%
ASCII
ValueCountFrequency (%)
1460
46.1%
( 266
 
8.4%
) 263
 
8.3%
1 176
 
5.6%
2 159
 
5.0%
E 54
 
1.7%
0 54
 
1.7%
3 53
 
1.7%
- 53
 
1.7%
4 42
 
1.3%
Other values (53) 584
 
18.5%
None
ValueCountFrequency (%)
㈜ 126
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 9
64.3%
Ⅱ 5
35.7%

출입구 아이디
Real number (ℝ)

Distinct243
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.4714
Minimum1
Maximum610
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T15:57:03.214902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q39
95-th percentile49
Maximum610
Range609
Interquartile range (IQR)7

Descriptive statistics

Standard deviation40.36349
Coefficient of variation (CV)2.9962357
Kurtosis83.494868
Mean13.4714
Median Absolute Deviation (MAD)3
Skewness8.0952255
Sum134714
Variance1629.2113
MonotonicityNot monotonic
2023-12-11T15:57:03.445170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1961
19.6%
2 1663
16.6%
3 1179
11.8%
4 839
 
8.4%
5 589
 
5.9%
6 453
 
4.5%
7 337
 
3.4%
8 278
 
2.8%
9 255
 
2.5%
10 193
 
1.9%
Other values (233) 2253
22.5%
ValueCountFrequency (%)
1 1961
19.6%
2 1663
16.6%
3 1179
11.8%
4 839
8.4%
5 589
 
5.9%
6 453
 
4.5%
7 337
 
3.4%
8 278
 
2.8%
9 255
 
2.5%
10 193
 
1.9%
ValueCountFrequency (%)
610 1
< 0.1%
609 1
< 0.1%
607 1
< 0.1%
604 1
< 0.1%
602 1
< 0.1%
601 1
< 0.1%
512 1
< 0.1%
511 1
< 0.1%
510 1
< 0.1%
509 1
< 0.1%

위도
Real number (ℝ)

Distinct7228
Distinct (%)72.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.54217
Minimum37.43538
Maximum37.68584
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T15:57:03.641789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.43538
5-th percentile37.475105
Q137.501291
median37.537437
Q337.570901
95-th percentile37.63991
Maximum37.68584
Range0.25046
Interquartile range (IQR)0.06960975

Descriptive statistics

Standard deviation0.050195759
Coefficient of variation (CV)0.00133705
Kurtosis-0.3649227
Mean37.54217
Median Absolute Deviation (MAD)0.0346965
Skewness0.52191539
Sum375421.7
Variance0.0025196142
MonotonicityNot monotonic
2023-12-11T15:57:03.861098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.514095 14
 
0.1%
37.511482 14
 
0.1%
37.562805 12
 
0.1%
37.50889 11
 
0.1%
37.51334 11
 
0.1%
37.564075 11
 
0.1%
37.56493 10
 
0.1%
37.5807 9
 
0.1%
37.56848 8
 
0.1%
37.563454 8
 
0.1%
Other values (7218) 9892
98.9%
ValueCountFrequency (%)
37.43538 1
< 0.1%
37.435482 1
< 0.1%
37.43559 1
< 0.1%
37.43567 1
< 0.1%
37.43711 1
< 0.1%
37.43878 1
< 0.1%
37.43951 1
< 0.1%
37.43952 1
< 0.1%
37.439735 1
< 0.1%
37.441444 1
< 0.1%
ValueCountFrequency (%)
37.68584 1
 
< 0.1%
37.685493 1
 
< 0.1%
37.684593 1
 
< 0.1%
37.684338 3
< 0.1%
37.68409 1
 
< 0.1%
37.68399 1
 
< 0.1%
37.683853 1
 
< 0.1%
37.68299 1
 
< 0.1%
37.682865 1
 
< 0.1%
37.68228 1
 
< 0.1%

경도
Real number (ℝ)

Distinct7101
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.99453
Minimum126.7963
Maximum127.18053
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T15:57:04.067779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.7963
5-th percentile126.84019
Q1126.91271
median127.01022
Q3127.06572
95-th percentile127.12766
Maximum127.18053
Range0.384239
Interquartile range (IQR)0.1530125

Descriptive statistics

Standard deviation0.091354366
Coefficient of variation (CV)0.00071935668
Kurtosis-1.0157464
Mean126.99453
Median Absolute Deviation (MAD)0.0760175
Skewness-0.1929069
Sum1269945.3
Variance0.0083456202
MonotonicityNot monotonic
2023-12-11T15:57:04.291997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.06034 13
 
0.1%
126.80309 12
 
0.1%
127.05972 11
 
0.1%
127.05846 11
 
0.1%
126.80322 11
 
0.1%
127.10184 10
 
0.1%
127.10047 9
 
0.1%
126.80402 9
 
0.1%
126.8763 9
 
0.1%
127.04712 9
 
0.1%
Other values (7091) 9896
99.0%
ValueCountFrequency (%)
126.796295 1
 
< 0.1%
126.79633 1
 
< 0.1%
126.7965 7
0.1%
126.798706 1
 
< 0.1%
126.798874 1
 
< 0.1%
126.79903 1
 
< 0.1%
126.802124 1
 
< 0.1%
126.80224 1
 
< 0.1%
126.80239 1
 
< 0.1%
126.80248 6
0.1%
ValueCountFrequency (%)
127.180534 1
< 0.1%
127.18031 1
< 0.1%
127.17857 1
< 0.1%
127.1781 1
< 0.1%
127.177956 1
< 0.1%
127.17772 1
< 0.1%
127.177635 1
< 0.1%
127.17742 1
< 0.1%
127.17735 1
< 0.1%
127.17562 1
< 0.1%

출입구 구분
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
MED_CB
4961 
MED_CA
3243 
MED_CX
1796 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMED_CB
2nd rowMED_CB
3rd rowMED_CX
4th rowMED_CA
5th rowMED_CA

Common Values

ValueCountFrequency (%)
MED_CB 4961
49.6%
MED_CA 3243
32.4%
MED_CX 1796
 
18.0%

Length

2023-12-11T15:57:04.490645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T15:57:04.614688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
med_cb 4961
49.6%
med_ca 3243
32.4%
med_cx 1796
 
18.0%

출입 구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
EIO_DC
9874 
EIO_DA
 
69
EIO_DB
 
57

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
EIO_DC 9874
98.7%
EIO_DA 69
 
0.7%
EIO_DB 57
 
0.6%

Length

2023-12-11T15:57:04.741069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T15:57:04.837351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
eio_dc 9874
98.7%
eio_da 69
 
0.7%
eio_db 57
 
0.6%

자전거 출입
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
BIO_N
7899 
BIO_Y
2046 
<NA>
 
55

Length

Max length5
Median length5
Mean length4.9945
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
BIO_N 7899
79.0%
BIO_Y 2046
 
20.5%
<NA> 55
 
0.5%

Length

2023-12-11T15:57:04.979068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T15:57:05.083543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
bio_n 7899
79.0%
bio_y 2046
 
20.5%
na 55
 
0.5%

경사로
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
ER_N
8870 
ER_Y
1087 
<NA>
 
43

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
ER_N 8870
88.7%
ER_Y 1087
 
10.9%
<NA> 43
 
0.4%

Length

2023-12-11T15:57:05.194934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T15:57:05.298611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
er_n 8870
88.7%
er_y 1087
 
10.9%
na 43
 
0.4%

에스컬레이트
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
ES_N
9886 
<NA>
 
62
ES_Y
 
52

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
ES_N 9886
98.9%
<NA> 62
 
0.6%
ES_Y 52
 
0.5%

Length

2023-12-11T15:57:05.410761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T15:57:05.529680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
es_n 9886
98.9%
na 62
 
0.6%
es_y 52
 
0.5%

장애인용 에스컬레이트
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
DES_N
9927 
<NA>
 
56
DES_Y
 
17

Length

Max length5
Median length5
Mean length4.9944
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
DES_N 9927
99.3%
<NA> 56
 
0.6%
DES_Y 17
 
0.2%

Length

2023-12-11T15:57:05.644797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T15:57:05.758765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
des_n 9927
99.3%
na 56
 
0.6%
des_y 17
 
0.2%

점자블록
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
EB_N
7666 
EB_Y
2287 
<NA>
 
47

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowEB_N
2nd rowEB_N
3rd rowEB_N
4th rowEB_Y
5th rowEB_N

Common Values

ValueCountFrequency (%)
EB_N 7666
76.7%
EB_Y 2287
 
22.9%
<NA> 47
 
0.5%

Length

2023-12-11T15:57:05.891129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T15:57:05.991994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
eb_n 7666
76.7%
eb_y 2287
 
22.9%
na 47
 
0.5%

출입구 높이차이
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
ED_EA
4247 
<NA>
3920 
ED_ED
1070 
ED_EB
 
403
ED_EC
 
330

Length

Max length5
Median length5
Mean length4.608
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowED_EA
2nd row<NA>
3rd row<NA>
4th rowED_EA
5th rowED_EA

Common Values

ValueCountFrequency (%)
ED_EA 4247
42.5%
<NA> 3920
39.2%
ED_ED 1070
 
10.7%
ED_EB 403
 
4.0%
ED_EC 330
 
3.3%
ED_EX 30
 
0.3%

Length

2023-12-11T15:57:06.103126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T15:57:06.216872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ed_ea 4247
42.5%
na 3920
39.2%
ed_ed 1070
 
10.7%
ed_eb 403
 
4.0%
ed_ec 330
 
3.3%
ed_ex 30
 
0.3%

출입구 문폭
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
EW_FA
5045 
<NA>
3936 
EW_FB
 
404
EW_FC
 
373
EW_FD
 
235

Length

Max length5
Median length5
Mean length4.6064
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowEW_FA
2nd row<NA>
3rd row<NA>
4th rowEW_FA
5th rowEW_FB

Common Values

ValueCountFrequency (%)
EW_FA 5045
50.4%
<NA> 3936
39.4%
EW_FB 404
 
4.0%
EW_FC 373
 
3.7%
EW_FD 235
 
2.4%
EW_FX 7
 
0.1%

Length

2023-12-11T15:57:06.345168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T15:57:06.463343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ew_fa 5045
50.4%
na 3936
39.4%
ew_fb 404
 
4.0%
ew_fc 373
 
3.7%
ew_fd 235
 
2.4%
ew_fx 7
 
0.1%

출입구 활동공간
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
EES_GA
8746 
EES_GD
 
373
EES_GC
 
352
<NA>
 
219
EES_GB
 
184

Length

Max length6
Median length6
Mean length5.9562
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
EES_GA 8746
87.5%
EES_GD 373
 
3.7%
EES_GC 352
 
3.5%
<NA> 219
 
2.2%
EES_GB 184
 
1.8%
EES_GX 126
 
1.3%

Length

2023-12-11T15:57:06.591489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T15:57:06.708493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ees_ga 8746
87.5%
ees_gd 373
 
3.7%
ees_gc 352
 
3.5%
na 219
 
2.2%
ees_gb 184
 
1.8%
ees_gx 126
 
1.3%

출입구 단차
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
ET_HA
7855 
ET_HD
1311 
ET_HC
 
463
ET_HB
 
270
<NA>
 
60

Length

Max length5
Median length5
Mean length4.994
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowET_HA
2nd rowET_HD
3rd rowET_HA
4th rowET_HA
5th rowET_HA

Common Values

ValueCountFrequency (%)
ET_HA 7855
78.5%
ET_HD 1311
 
13.1%
ET_HC 463
 
4.6%
ET_HB 270
 
2.7%
<NA> 60
 
0.6%
ET_HX 41
 
0.4%

Length

2023-12-11T15:57:06.849037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T15:57:06.948698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
et_ha 7855
78.5%
et_hd 1311
 
13.1%
et_hc 463
 
4.6%
et_hb 270
 
2.7%
na 60
 
0.6%
et_hx 41
 
0.4%

출입구 형태
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
EH_IC
4842 
EH_IF
3649 
EH_IA
888 
EH_IB
 
220
EH_ID
 
172
Other values (3)
 
229

Length

Max length5
Median length5
Mean length4.997
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowEH_IC
2nd rowEH_IF
3rd rowEH_IF
4th rowEH_IC
5th rowEH_IA

Common Values

ValueCountFrequency (%)
EH_IC 4842
48.4%
EH_IF 3649
36.5%
EH_IA 888
 
8.9%
EH_IB 220
 
2.2%
EH_ID 172
 
1.7%
EH_IX 164
 
1.6%
EH_IE 35
 
0.4%
<NA> 30
 
0.3%

Length

2023-12-11T15:57:07.092796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T15:57:07.247071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
eh_ic 4842
48.4%
eh_if 3649
36.5%
eh_ia 888
 
8.9%
eh_ib 220
 
2.2%
eh_id 172
 
1.7%
eh_ix 164
 
1.6%
eh_ie 35
 
0.4%
na 30
 
0.3%

평일 허용시간
Text

MISSING 

Distinct121
Distinct (%)2.1%
Missing4105
Missing (%)41.0%
Memory size156.2 KiB
2023-12-11T15:57:07.523496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.7430025
Min length4

Characters and Unicode

Total characters51540
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)0.5%

Sample

1st row1030-2130
2nd row0000-2400
3rd row0000-2400
4th row0900-1800
5th rowWD_N
ValueCountFrequency (%)
0000-2400 3403
57.7%
0900-1800 336
 
5.7%
wd_n 303
 
5.1%
1030-2000 159
 
2.7%
1030-2200 127
 
2.2%
1000-2300 122
 
2.1%
1000-1800 108
 
1.8%
1030-2100 102
 
1.7%
0900-2200 98
 
1.7%
0800-2300 71
 
1.2%
Other values (111) 1066
 
18.1%
2023-12-11T15:57:07.972933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 30768
59.7%
- 5592
 
10.8%
2 5095
 
9.9%
4 3554
 
6.9%
1 2074
 
4.0%
3 1162
 
2.3%
9 825
 
1.6%
8 772
 
1.5%
7 304
 
0.6%
W 303
 
0.6%
Other values (5) 1091
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 44736
86.8%
Dash Punctuation 5592
 
10.8%
Uppercase Letter 909
 
1.8%
Connector Punctuation 303
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 30768
68.8%
2 5095
 
11.4%
4 3554
 
7.9%
1 2074
 
4.6%
3 1162
 
2.6%
9 825
 
1.8%
8 772
 
1.7%
7 304
 
0.7%
6 145
 
0.3%
5 37
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
W 303
33.3%
D 303
33.3%
N 303
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 5592
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 303
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 50631
98.2%
Latin 909
 
1.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 30768
60.8%
- 5592
 
11.0%
2 5095
 
10.1%
4 3554
 
7.0%
1 2074
 
4.1%
3 1162
 
2.3%
9 825
 
1.6%
8 772
 
1.5%
7 304
 
0.6%
_ 303
 
0.6%
Other values (2) 182
 
0.4%
Latin
ValueCountFrequency (%)
W 303
33.3%
D 303
33.3%
N 303
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 51540
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 30768
59.7%
- 5592
 
10.8%
2 5095
 
9.9%
4 3554
 
6.9%
1 2074
 
4.0%
3 1162
 
2.3%
9 825
 
1.6%
8 772
 
1.5%
7 304
 
0.6%
W 303
 
0.6%
Other values (5) 1091
 
2.1%

토요일 허용시간
Text

MISSING 

Distinct119
Distinct (%)3.7%
Missing6769
Missing (%)67.7%
Memory size156.2 KiB
2023-12-11T15:57:08.251993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.5295574
Min length5

Characters and Unicode

Total characters27559
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)0.7%

Sample

1st row1030-2130
2nd rowWST_N
3rd rowWST_N
4th row0000-2400
5th row0900-2000
ValueCountFrequency (%)
0000-2400 986
30.5%
wst_n 380
 
11.8%
1030-2030 169
 
5.2%
1030-2200 140
 
4.3%
1000-2300 123
 
3.8%
0900-1800 93
 
2.9%
1000-1800 85
 
2.6%
1030-2130 73
 
2.3%
0800-2300 70
 
2.2%
0900-1700 62
 
1.9%
Other values (109) 1050
32.5%
2023-12-11T15:57:08.758110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 14548
52.8%
- 2851
 
10.3%
2 2494
 
9.0%
1 1829
 
6.6%
3 1345
 
4.9%
4 1161
 
4.2%
9 587
 
2.1%
8 387
 
1.4%
W 380
 
1.4%
S 380
 
1.4%
Other values (6) 1597
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22808
82.8%
Dash Punctuation 2851
 
10.3%
Uppercase Letter 1520
 
5.5%
Connector Punctuation 380
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 14548
63.8%
2 2494
 
10.9%
1 1829
 
8.0%
3 1345
 
5.9%
4 1161
 
5.1%
9 587
 
2.6%
8 387
 
1.7%
7 256
 
1.1%
6 123
 
0.5%
5 78
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
W 380
25.0%
S 380
25.0%
T 380
25.0%
N 380
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 2851
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 380
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 26039
94.5%
Latin 1520
 
5.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 14548
55.9%
- 2851
 
10.9%
2 2494
 
9.6%
1 1829
 
7.0%
3 1345
 
5.2%
4 1161
 
4.5%
9 587
 
2.3%
8 387
 
1.5%
_ 380
 
1.5%
7 256
 
1.0%
Other values (2) 201
 
0.8%
Latin
ValueCountFrequency (%)
W 380
25.0%
S 380
25.0%
T 380
25.0%
N 380
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 27559
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 14548
52.8%
- 2851
 
10.3%
2 2494
 
9.0%
1 1829
 
6.6%
3 1345
 
4.9%
4 1161
 
4.2%
9 587
 
2.1%
8 387
 
1.4%
W 380
 
1.4%
S 380
 
1.4%
Other values (6) 1597
 
5.8%

일요일 허용시간
Text

MISSING 

Distinct86
Distinct (%)2.7%
Missing6816
Missing (%)68.2%
Memory size156.2 KiB
2023-12-11T15:57:09.040875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.0628141
Min length5

Characters and Unicode

Total characters25672
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)0.7%

Sample

1st row1030-2130
2nd rowWSU_N
3rd rowWSU_N
4th row0000-2400
5th row0900-2000
ValueCountFrequency (%)
0000-2400 994
31.2%
wsu_n 746
23.4%
1030-2030 169
 
5.3%
1030-2200 140
 
4.4%
1000-2300 114
 
3.6%
1000-1800 79
 
2.5%
0900-1800 73
 
2.3%
1030-2130 71
 
2.2%
0800-2300 70
 
2.2%
0900-1700 61
 
1.9%
Other values (76) 667
20.9%
2023-12-11T15:57:09.517107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12638
49.2%
- 2438
 
9.5%
2 2405
 
9.4%
1 1382
 
5.4%
4 1119
 
4.4%
3 1068
 
4.2%
W 746
 
2.9%
S 746
 
2.9%
U 746
 
2.9%
_ 746
 
2.9%
Other values (6) 1638
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19504
76.0%
Uppercase Letter 2984
 
11.6%
Dash Punctuation 2438
 
9.5%
Connector Punctuation 746
 
2.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12638
64.8%
2 2405
 
12.3%
1 1382
 
7.1%
4 1119
 
5.7%
3 1068
 
5.5%
9 335
 
1.7%
8 275
 
1.4%
7 193
 
1.0%
6 55
 
0.3%
5 34
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
W 746
25.0%
S 746
25.0%
U 746
25.0%
N 746
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 2438
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 746
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22688
88.4%
Latin 2984
 
11.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12638
55.7%
- 2438
 
10.7%
2 2405
 
10.6%
1 1382
 
6.1%
4 1119
 
4.9%
3 1068
 
4.7%
_ 746
 
3.3%
9 335
 
1.5%
8 275
 
1.2%
7 193
 
0.9%
Other values (2) 89
 
0.4%
Latin
ValueCountFrequency (%)
W 746
25.0%
S 746
25.0%
U 746
25.0%
N 746
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25672
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12638
49.2%
- 2438
 
9.5%
2 2405
 
9.4%
1 1382
 
5.4%
4 1119
 
4.4%
3 1068
 
4.2%
W 746
 
2.9%
S 746
 
2.9%
U 746
 
2.9%
_ 746
 
2.9%
Other values (6) 1638
 
6.4%

공휴일 허용시간
Text

MISSING 

Distinct87
Distinct (%)1.6%
Missing4395
Missing (%)44.0%
Memory size156.2 KiB
2023-12-11T15:57:09.828795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.1347012
Min length4

Characters and Unicode

Total characters45595
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)0.5%

Sample

1st row1030-2130
2nd row0000-2400
3rd row0000-2400
4th rowHD_N
5th rowHD_N
ValueCountFrequency (%)
0000-2400 3411
60.9%
hd_n 970
 
17.3%
1030-2030 166
 
3.0%
1030-2200 138
 
2.5%
1000-2300 96
 
1.7%
1000-1800 70
 
1.2%
0800-2300 67
 
1.2%
1000-2400 56
 
1.0%
1000-2200 40
 
0.7%
1030-2130 37
 
0.7%
Other values (77) 554
 
9.9%
2023-12-11T15:57:10.299417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 26135
57.3%
2 4641
 
10.2%
- 4635
 
10.2%
4 3533
 
7.7%
1 1126
 
2.5%
H 970
 
2.1%
D 970
 
2.1%
_ 970
 
2.1%
N 970
 
2.1%
3 944
 
2.1%
Other values (5) 701
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 37080
81.3%
Dash Punctuation 4635
 
10.2%
Uppercase Letter 2910
 
6.4%
Connector Punctuation 970
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 26135
70.5%
2 4641
 
12.5%
4 3533
 
9.5%
1 1126
 
3.0%
3 944
 
2.5%
8 223
 
0.6%
9 199
 
0.5%
7 124
 
0.3%
6 108
 
0.3%
5 47
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
H 970
33.3%
D 970
33.3%
N 970
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 4635
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 970
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 42685
93.6%
Latin 2910
 
6.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 26135
61.2%
2 4641
 
10.9%
- 4635
 
10.9%
4 3533
 
8.3%
1 1126
 
2.6%
_ 970
 
2.3%
3 944
 
2.2%
8 223
 
0.5%
9 199
 
0.5%
7 124
 
0.3%
Other values (2) 155
 
0.4%
Latin
ValueCountFrequency (%)
H 970
33.3%
D 970
33.3%
N 970
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 45595
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 26135
57.3%
2 4641
 
10.2%
- 4635
 
10.2%
4 3533
 
7.7%
1 1126
 
2.5%
H 970
 
2.1%
D 970
 
2.1%
_ 970
 
2.1%
N 970
 
2.1%
3 944
 
2.1%
Other values (5) 701
 
1.5%

기타
Text

MISSING 

Distinct494
Distinct (%)34.5%
Missing8567
Missing (%)85.7%
Memory size156.2 KiB
2023-12-11T15:57:10.731277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length54
Mean length11.154222
Min length2

Characters and Unicode

Total characters15984
Distinct characters390
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique328 ?
Unique (%)22.9%

Sample

1st row사진에서 먼 곳에 계단만 있음
2nd row폐문
3rd row매 2,4번째 일요일 휴무
4th row폐문
5th row관계자외출입금지
ValueCountFrequency (%)
휴관 154
 
4.4%
월요일 142
 
4.1%
폐문 121
 
3.5%
일요일 86
 
2.5%
출입구 83
 
2.4%
휴무 81
 
2.3%
eh_ix_셔터 75
 
2.2%
매주 51
 
1.5%
금요일 48
 
1.4%
med_cx_폐문 45
 
1.3%
Other values (797) 2579
74.4%
2023-12-11T15:57:11.435118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2035
 
12.7%
0 876
 
5.5%
일 662
 
4.1%
_ 538
 
3.4%
요 393
 
2.5%
휴 354
 
2.2%
2 324
 
2.0%
문 322
 
2.0%
1 318
 
2.0%
E 298
 
1.9%
Other values (380) 9864
61.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9473
59.3%
Space Separator 2035
 
12.7%
Decimal Number 1965
 
12.3%
Uppercase Letter 1257
 
7.9%
Connector Punctuation 538
 
3.4%
Other Punctuation 385
 
2.4%
Math Symbol 135
 
0.8%
Dash Punctuation 92
 
0.6%
Open Punctuation 47
 
0.3%
Close Punctuation 47
 
0.3%
Other values (2) 10
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 662
 
7.0%
요 393
 
4.1%
휴 354
 
3.7%
문 322
 
3.4%
입 267
 
2.8%
금 245
 
2.6%
출 241
 
2.5%
월 234
 
2.5%
관 233
 
2.5%
폐 223
 
2.4%
Other values (338) 6299
66.5%
Uppercase Letter
ValueCountFrequency (%)
E 298
23.7%
X 238
18.9%
D 194
15.4%
M 157
12.5%
C 143
11.4%
H 86
 
6.8%
I 79
 
6.3%
W 20
 
1.6%
B 17
 
1.4%
F 8
 
0.6%
Other values (5) 17
 
1.4%
Decimal Number
ValueCountFrequency (%)
0 876
44.6%
2 324
 
16.5%
1 318
 
16.2%
3 257
 
13.1%
4 60
 
3.1%
8 31
 
1.6%
7 30
 
1.5%
5 30
 
1.5%
9 28
 
1.4%
6 11
 
0.6%
Other Punctuation
ValueCountFrequency (%)
, 270
70.1%
: 77
 
20.0%
/ 20
 
5.2%
. 17
 
4.4%
& 1
 
0.3%
Math Symbol
ValueCountFrequency (%)
~ 127
94.1%
+ 4
 
3.0%
< 2
 
1.5%
> 2
 
1.5%
Lowercase Letter
ValueCountFrequency (%)
m 5
83.3%
c 1
 
16.7%
Space Separator
ValueCountFrequency (%)
2035
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 538
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Other Symbol
ValueCountFrequency (%)
° 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9473
59.3%
Common 5248
32.8%
Latin 1263
 
7.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 662
 
7.0%
요 393
 
4.1%
휴 354
 
3.7%
문 322
 
3.4%
입 267
 
2.8%
금 245
 
2.6%
출 241
 
2.5%
월 234
 
2.5%
관 233
 
2.5%
폐 223
 
2.4%
Other values (338) 6299
66.5%
Common
ValueCountFrequency (%)
2035
38.8%
0 876
16.7%
_ 538
 
10.3%
2 324
 
6.2%
1 318
 
6.1%
, 270
 
5.1%
3 257
 
4.9%
~ 127
 
2.4%
- 92
 
1.8%
: 77
 
1.5%
Other values (15) 334
 
6.4%
Latin
ValueCountFrequency (%)
E 298
23.6%
X 238
18.8%
D 194
15.4%
M 157
12.4%
C 143
11.3%
H 86
 
6.8%
I 79
 
6.3%
W 20
 
1.6%
B 17
 
1.3%
F 8
 
0.6%
Other values (7) 23
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9473
59.3%
ASCII 6507
40.7%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2035
31.3%
0 876
13.5%
_ 538
 
8.3%
2 324
 
5.0%
1 318
 
4.9%
E 298
 
4.6%
, 270
 
4.1%
3 257
 
3.9%
X 238
 
3.7%
D 194
 
3.0%
Other values (31) 1159
17.8%
Hangul
ValueCountFrequency (%)
일 662
 
7.0%
요 393
 
4.1%
휴 354
 
3.7%
문 322
 
3.4%
입 267
 
2.8%
금 245
 
2.6%
출 241
 
2.5%
월 234
 
2.5%
관 233
 
2.5%
폐 223
 
2.4%
Other values (338) 6299
66.5%
None
ValueCountFrequency (%)
° 4
100.0%

국가지점번호
Text

Distinct287
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T15:57:11.970357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters120000
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique105 ?
Unique (%)1.1%

Sample

1st row다사 5435 5227
2nd row다사 5550 5227
3rd row다사 5403 5233
4th row다사 5390 5231
5th row다사 5407 5230
ValueCountFrequency (%)
다사 10000
33.3%
5233 2825
 
9.4%
5231 2529
 
8.4%
5390 1948
 
6.5%
5396 1652
 
5.5%
5403 1173
 
3.9%
5227 901
 
3.0%
5407 838
 
2.8%
5230 834
 
2.8%
5419 582
 
1.9%
Other values (456) 6718
22.4%
2023-12-11T15:57:12.736609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 21237
17.7%
20000
16.7%
3 15742
13.1%
2 12773
10.6%
다 10000
8.3%
사 10000
8.3%
4 6614
 
5.5%
0 6068
 
5.1%
9 5814
 
4.8%
1 3907
 
3.3%
Other values (3) 7845
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 80000
66.7%
Space Separator 20000
 
16.7%
Other Letter 20000
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 21237
26.5%
3 15742
19.7%
2 12773
16.0%
4 6614
 
8.3%
0 6068
 
7.6%
9 5814
 
7.3%
1 3907
 
4.9%
6 3526
 
4.4%
7 3113
 
3.9%
8 1206
 
1.5%
Other Letter
ValueCountFrequency (%)
다 10000
50.0%
사 10000
50.0%
Space Separator
ValueCountFrequency (%)
20000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 100000
83.3%
Hangul 20000
 
16.7%

Most frequent character per script

Common
ValueCountFrequency (%)
5 21237
21.2%
20000
20.0%
3 15742
15.7%
2 12773
12.8%
4 6614
 
6.6%
0 6068
 
6.1%
9 5814
 
5.8%
1 3907
 
3.9%
6 3526
 
3.5%
7 3113
 
3.1%
Hangul
ValueCountFrequency (%)
다 10000
50.0%
사 10000
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 100000
83.3%
Hangul 20000
 
16.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 21237
21.2%
20000
20.0%
3 15742
15.7%
2 12773
12.8%
4 6614
 
6.6%
0 6068
 
6.1%
9 5814
 
5.8%
1 3907
 
3.9%
6 3526
 
3.5%
7 3113
 
3.1%
Hangul
ValueCountFrequency (%)
다 10000
50.0%
사 10000
50.0%

데이터 기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2022-11-23
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-11-23
2nd row2022-11-23
3rd row2022-11-23
4th row2022-11-23
5th row2022-11-23

Common Values

ValueCountFrequency (%)
2022-11-23 10000
100.0%

Length

2023-12-11T15:57:12.954467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T15:57:13.102107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-11-23 10000
100.0%

정면이미지명
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T15:57:13.383425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length17
Mean length17
Min length17

Characters and Unicode

Total characters170000
Distinct characters19
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st rowB0183_006_01.jpeg
2nd rowP0284_014_01.jpeg
3rd rowP0797_003_01.jpeg
4th rowB0424_001_01.jpeg
5th rowB1691_004_01.jpeg
ValueCountFrequency (%)
b0183_006_01.jpeg 1
 
< 0.1%
b1781_003_01.jpeg 1
 
< 0.1%
p0117_005_01.jpeg 1
 
< 0.1%
b0108_020_01.jpeg 1
 
< 0.1%
p1018_002_01.jpeg 1
 
< 0.1%
b0550_003_01.jpeg 1
 
< 0.1%
p0971_001_01.jpeg 1
 
< 0.1%
b1538_003_01.jpeg 1
 
< 0.1%
p1308_002_01.jpeg 1
 
< 0.1%
b1238_027_01.jpeg 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-11T15:57:13.836298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 38582
22.7%
1 20463
12.0%
_ 20000
11.8%
p 10000
 
5.9%
j 10000
 
5.9%
g 10000
 
5.9%
e 10000
 
5.9%
. 10000
 
5.9%
B 6604
 
3.9%
2 6293
 
3.7%
Other values (9) 28058
16.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 90000
52.9%
Lowercase Letter 40000
23.5%
Connector Punctuation 20000
 
11.8%
Other Punctuation 10000
 
5.9%
Uppercase Letter 10000
 
5.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 38582
42.9%
1 20463
22.7%
2 6293
 
7.0%
3 4795
 
5.3%
4 3897
 
4.3%
5 3579
 
4.0%
6 3469
 
3.9%
8 3048
 
3.4%
7 2957
 
3.3%
9 2917
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
p 10000
25.0%
j 10000
25.0%
g 10000
25.0%
e 10000
25.0%
Uppercase Letter
ValueCountFrequency (%)
B 6604
66.0%
P 3113
31.1%
R 283
 
2.8%
Connector Punctuation
ValueCountFrequency (%)
_ 20000
100.0%
Other Punctuation
ValueCountFrequency (%)
. 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 120000
70.6%
Latin 50000
29.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 38582
32.2%
1 20463
17.1%
_ 20000
16.7%
. 10000
 
8.3%
2 6293
 
5.2%
3 4795
 
4.0%
4 3897
 
3.2%
5 3579
 
3.0%
6 3469
 
2.9%
8 3048
 
2.5%
Other values (2) 5874
 
4.9%
Latin
ValueCountFrequency (%)
p 10000
20.0%
j 10000
20.0%
g 10000
20.0%
e 10000
20.0%
B 6604
13.2%
P 3113
 
6.2%
R 283
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 170000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 38582
22.7%
1 20463
12.0%
_ 20000
11.8%
p 10000
 
5.9%
j 10000
 
5.9%
g 10000
 
5.9%
e 10000
 
5.9%
. 10000
 
5.9%
B 6604
 
3.9%
2 6293
 
3.7%
Other values (9) 28058
16.5%

좌측 원경 이미지명
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T15:57:14.177907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length17
Mean length17
Min length17

Characters and Unicode

Total characters170000
Distinct characters19
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st rowB0183_006_02.jpeg
2nd rowP0284_014_02.jpeg
3rd rowP0797_003_02.jpeg
4th rowB0424_001_02.jpeg
5th rowB1691_004_02.jpeg
ValueCountFrequency (%)
b0183_006_02.jpeg 1
 
< 0.1%
b1781_003_02.jpeg 1
 
< 0.1%
p0117_005_02.jpeg 1
 
< 0.1%
b0108_020_02.jpeg 1
 
< 0.1%
p1018_002_02.jpeg 1
 
< 0.1%
b0550_003_02.jpeg 1
 
< 0.1%
p0971_001_02.jpeg 1
 
< 0.1%
b1538_003_02.jpeg 1
 
< 0.1%
p1308_002_02.jpeg 1
 
< 0.1%
b1238_027_02.jpeg 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-11T15:57:15.240017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 38582
22.7%
_ 20000
11.8%
2 16293
9.6%
1 10463
 
6.2%
j 10000
 
5.9%
g 10000
 
5.9%
e 10000
 
5.9%
p 10000
 
5.9%
. 10000
 
5.9%
B 6604
 
3.9%
Other values (9) 28058
16.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 90000
52.9%
Lowercase Letter 40000
23.5%
Connector Punctuation 20000
 
11.8%
Other Punctuation 10000
 
5.9%
Uppercase Letter 10000
 
5.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 38582
42.9%
2 16293
18.1%
1 10463
 
11.6%
3 4795
 
5.3%
4 3897
 
4.3%
5 3579
 
4.0%
6 3469
 
3.9%
8 3048
 
3.4%
7 2957
 
3.3%
9 2917
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
j 10000
25.0%
g 10000
25.0%
e 10000
25.0%
p 10000
25.0%
Uppercase Letter
ValueCountFrequency (%)
B 6604
66.0%
P 3113
31.1%
R 283
 
2.8%
Connector Punctuation
ValueCountFrequency (%)
_ 20000
100.0%
Other Punctuation
ValueCountFrequency (%)
. 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 120000
70.6%
Latin 50000
29.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 38582
32.2%
_ 20000
16.7%
2 16293
13.6%
1 10463
 
8.7%
. 10000
 
8.3%
3 4795
 
4.0%
4 3897
 
3.2%
5 3579
 
3.0%
6 3469
 
2.9%
8 3048
 
2.5%
Other values (2) 5874
 
4.9%
Latin
ValueCountFrequency (%)
j 10000
20.0%
g 10000
20.0%
e 10000
20.0%
p 10000
20.0%
B 6604
13.2%
P 3113
 
6.2%
R 283
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 170000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 38582
22.7%
_ 20000
11.8%
2 16293
9.6%
1 10463
 
6.2%
j 10000
 
5.9%
g 10000
 
5.9%
e 10000
 
5.9%
p 10000
 
5.9%
. 10000
 
5.9%
B 6604
 
3.9%
Other values (9) 28058
16.5%

우측 원경 이미지명
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T15:57:15.601364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length17
Mean length17
Min length17

Characters and Unicode

Total characters170000
Distinct characters19
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st rowB0183_006_03.jpeg
2nd rowP0284_014_03.jpeg
3rd rowP0797_003_03.jpeg
4th rowB0424_001_03.jpeg
5th rowB1691_004_03.jpeg
ValueCountFrequency (%)
b0183_006_03.jpeg 1
 
< 0.1%
b1781_003_03.jpeg 1
 
< 0.1%
p0117_005_03.jpeg 1
 
< 0.1%
b0108_020_03.jpeg 1
 
< 0.1%
p1018_002_03.jpeg 1
 
< 0.1%
b0550_003_03.jpeg 1
 
< 0.1%
p0971_001_03.jpeg 1
 
< 0.1%
b1538_003_03.jpeg 1
 
< 0.1%
p1308_002_03.jpeg 1
 
< 0.1%
b1238_027_03.jpeg 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-11T15:57:16.473362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 38582
22.7%
_ 20000
11.8%
3 14795
 
8.7%
1 10463
 
6.2%
p 10000
 
5.9%
g 10000
 
5.9%
e 10000
 
5.9%
. 10000
 
5.9%
j 10000
 
5.9%
B 6604
 
3.9%
Other values (9) 29556
17.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 90000
52.9%
Lowercase Letter 40000
23.5%
Connector Punctuation 20000
 
11.8%
Other Punctuation 10000
 
5.9%
Uppercase Letter 10000
 
5.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 38582
42.9%
3 14795
 
16.4%
1 10463
 
11.6%
2 6293
 
7.0%
4 3897
 
4.3%
5 3579
 
4.0%
6 3469
 
3.9%
8 3048
 
3.4%
7 2957
 
3.3%
9 2917
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
p 10000
25.0%
g 10000
25.0%
e 10000
25.0%
j 10000
25.0%
Uppercase Letter
ValueCountFrequency (%)
B 6604
66.0%
P 3113
31.1%
R 283
 
2.8%
Connector Punctuation
ValueCountFrequency (%)
_ 20000
100.0%
Other Punctuation
ValueCountFrequency (%)
. 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 120000
70.6%
Latin 50000
29.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 38582
32.2%
_ 20000
16.7%
3 14795
 
12.3%
1 10463
 
8.7%
. 10000
 
8.3%
2 6293
 
5.2%
4 3897
 
3.2%
5 3579
 
3.0%
6 3469
 
2.9%
8 3048
 
2.5%
Other values (2) 5874
 
4.9%
Latin
ValueCountFrequency (%)
p 10000
20.0%
g 10000
20.0%
e 10000
20.0%
j 10000
20.0%
B 6604
13.2%
P 3113
 
6.2%
R 283
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 170000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 38582
22.7%
_ 20000
11.8%
3 14795
 
8.7%
1 10463
 
6.2%
p 10000
 
5.9%
g 10000
 
5.9%
e 10000
 
5.9%
. 10000
 
5.9%
j 10000
 
5.9%
B 6604
 
3.9%
Other values (9) 29556
17.4%

Sample

아이디새주소 아이디시설 아이디시설명출입구 아이디위도경도출입구 구분출입 구분자전거 출입경사로에스컬레이트장애인용 에스컬레이트점자블록출입구 높이차이출입구 문폭출입구 활동공간출입구 단차출입구 형태평일 허용시간토요일 허용시간일요일 허용시간공휴일 허용시간기타국가지점번호데이터 기준일자정면이미지명좌측 원경 이미지명우측 원경 이미지명
11430B0183_006<NA>B0183파크에비뉴 엔터식스 한양대점637.55717127.04049MED_CBEIO_DCBIO_NER_NES_NDES_NEB_NED_EAEW_FAEES_GAET_HAEH_IC1030-21301030-21301030-21301030-2130<NA>다사 5435 52272022-11-23B0183_006_01.jpegB0183_006_02.jpegB0183_006_03.jpeg
13323P0284_014<NA>P0284응봉공원1437.549446127.01234MED_CBEIO_DCBIO_NER_NES_NDES_NEB_N<NA><NA>EES_GAET_HDEH_IF0000-2400<NA><NA>0000-2400<NA>다사 5550 52272022-11-23P0284_014_01.jpegP0284_014_02.jpegP0284_014_03.jpeg
14655P0797_003<NA>P0797산철쭉공원337.670174127.05578MED_CXEIO_DCBIO_NER_NES_NDES_NEB_N<NA><NA>EES_GAET_HAEH_IF0000-2400<NA><NA>0000-2400<NA>다사 5403 52332022-11-23P0797_003_01.jpegP0797_003_02.jpegP0797_003_03.jpeg
3640B0424_00111530107300002800827629568.0B0424개봉어린이도서관137.496655126.85586MED_CAEIO_DCBIO_NER_NES_NDES_NEB_YED_EAEW_FAEES_GAET_HAEH_IC<NA><NA><NA><NA><NA>다사 5390 52312022-11-23B0424_001_01.jpegB0424_001_02.jpegB0424_001_03.jpeg
4573B1691_004<NA>B1691구로구청437.495422126.88761MED_CAEIO_DCBIO_NER_NES_NDES_NEB_NED_EAEW_FBEES_GAET_HAEH_IA0900-1800WST_NWSU_NHD_N<NA>다사 5407 52302022-11-23B1691_004_01.jpegB1691_004_02.jpegB1691_004_03.jpeg
15810B1238_012<NA>B1238서울특별시서울의료원1237.61257127.09847MED_CBEIO_DCBIO_NER_NES_NDES_NEB_NED_EDEW_FCEES_GAET_HAEH_ICWD_NWST_NWSU_NHD_N사진에서 먼 곳에 계단만 있음다사 5519 52222022-11-23B1238_012_01.jpegB1238_012_02.jpegB1238_012_03.jpeg
14728R0002_121<NA>R0002안양천12137.454533126.89389MED_CXEIO_DCBIO_NER_NES_NDES_NEB_N<NA><NA>EES_GAET_HDEH_IF0000-2400<NA><NA>0000-2400<NA>다사 4910 52782022-11-23R0002_121_01.jpegR0002_121_02.jpegR0002_121_03.jpeg
4420P0001_001<NA>P0001대진근린공원137.49498127.07881MED_CAEIO_DCBIO_YER_NES_NDES_NEB_N<NA><NA>EES_GAET_HAEH_IF0000-2400<NA><NA>0000-2400<NA>다사 5390 52312022-11-23P0001_001_01.jpegP0001_001_02.jpegP0001_001_03.jpeg
4854P1070_005<NA>P1070샛별공원537.470127127.04452MED_CBEIO_DCBIO_NER_NES_NDES_NEB_N<NA><NA>EES_GAET_HDEH_IF<NA><NA><NA><NA><NA>다사 5419 52312022-11-23P1070_005_01.jpegP1070_005_02.jpegP1070_005_03.jpeg
2401P0298_001<NA>P0298마실길137.641056126.94292MED_CAEIO_DCBIO_YER_N<NA>DES_NEB_N<NA><NA>EES_GAET_HAEH_IF0000-2400<NA><NA>0000-2400<NA>다사 5390 52312022-11-23P0298_001_01.jpegP0298_001_02.jpegP0298_001_03.jpeg
아이디새주소 아이디시설 아이디시설명출입구 아이디위도경도출입구 구분출입 구분자전거 출입경사로에스컬레이트장애인용 에스컬레이트점자블록출입구 높이차이출입구 문폭출입구 활동공간출입구 단차출입구 형태평일 허용시간토요일 허용시간일요일 허용시간공휴일 허용시간기타국가지점번호데이터 기준일자정면이미지명좌측 원경 이미지명우측 원경 이미지명
10326B1097_009<NA>B1097더바름치과병원937.510376127.086334MED_CBEIO_DCBIO_NER_NES_NDES_NEB_NED_EAEW_FAEES_GAET_HAEH_IC0600-23000600-23000600-23000600-2300<NA>다사 5472 52212022-11-23B1097_009_01.jpegB1097_009_02.jpegB1097_009_03.jpeg
10360B0400_0011150010241453120064323584.0B0400서울특별시교육청강서도서관137.548073126.86025MED_CBEIO_DCBIO_YER_NES_NDES_NEB_NED_EDEW_FAEES_GAET_HCEH_IX<NA><NA><NA><NA><NA>다사 5390 52312022-11-23B0400_001_01.jpegB0400_001_02.jpegB0400_001_03.jpeg
1851B0085_011<NA>B0085공구상가일번지1137.50053126.878006MED_CBEIO_DCBIO_NER_NES_NDES_NEB_NED_EAEW_FAEES_GAET_HDEH_IC<NA><NA><NA><NA><NA>다사 5503 52232022-11-23B0085_011_01.jpegB0085_011_02.jpegB0085_011_03.jpeg
8677P0012_004<NA>P0012독골근린공원437.485294127.04762MED_CBEIO_DCBIO_YER_NES_NDES_NEB_N<NA><NA>EES_GDET_HDEH_IF0000-2400<NA><NA>0000-2400<NA>다사 5407 52302022-11-23P0012_004_01.jpegP0012_004_02.jpegP0012_004_03.jpeg
5194B1866_00111545103311700400113975296.0B1866덕산빌딩137.460014126.90502MED_CAEIO_DCBIO_NER_NES_NDES_NEB_N<NA><NA>EES_GAET_HDEH_IC0000-2400<NA><NA>0000-2400<NA>다사 5390 52312022-11-23B1866_001_01.jpegB1866_001_02.jpegB1866_001_03.jpeg
8343B1451_002<NA>B1451고려빌딩237.654385127.0631MED_CBEIO_DCBIO_NER_NES_NDES_NEB_NED_EXEW_FAEES_GBET_HBEH_IC0000-24000000-24000000-24000000-2400<NA>다사 5396 52332022-11-23B1451_002_01.jpegB1451_002_02.jpegB1451_002_03.jpeg
899B0089_017<NA>B0089구로기계공구상가1737.50402126.8799MED_CXEIO_DCBIO_NER_NES_NDES_NEB_NED_EDEW_FAEES_GAET_HAEH_IX<NA><NA><NA><NA>EH_IX_셔터다사 5599 52372022-11-23B0089_017_01.jpegB0089_017_02.jpegB0089_017_03.jpeg
15243B0648_008<NA>B0648불교중앙박물관837.574547126.98203MED_CXEIO_DCBIO_NER_NES_NDES_NEB_NED_EDEW_FAEES_GAET_HC<NA>WD_NWST_NWSU_NHD_N폐문다사 5459 52222022-11-23B0648_008_01.jpegB0648_008_02.jpegB0648_008_03.jpeg
7506B0181_003<NA>B0181성수쇼핑센터337.54725127.055435MED_CBEIO_DCBIO_NER_YES_NDES_NEB_NED_ECEW_FAEES_GAET_HAEH_IC0800-23000800-23000800-23000800-2300<NA>다사 5403 52332022-11-23B0181_003_01.jpegB0181_003_02.jpegB0181_003_03.jpeg
9591B1834_002<NA>B1834마곡웰소아청소년과의원237.55849126.825554MED_CBEIO_DCBIO_NER_NES_NDES_NEB_Y<NA><NA>EES_GAET_HAEH_IE<NA><NA><NA><NA><NA>다사 5396 52332022-11-23B1834_002_01.jpegB1834_002_02.jpegB1834_002_03.jpeg