Overview

Dataset statistics

Number of variables21
Number of observations2273
Missing cells8770
Missing cells (%)18.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory384.1 KiB
Average record size in memory173.1 B

Variable types

Numeric3
Unsupported1
Text11
Categorical6

Dataset

Description아이디,새주소 아이디,시설 아이디,시설명,출입구 아이디,위도,경도,출입구 구분,출입 구분,출입구 높이제한 구조물,출입구 높이제한 구조물 높이,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-21700/S/1/datasetView.do

Alerts

데이터 기준일자 has constant value ""Constant
출입구 아이디 is highly imbalanced (59.6%)Imbalance
출입구 높이제한 구조물 높이 is highly imbalanced (57.2%)Imbalance
새주소 아이디 has 2273 (100.0%) missing valuesMissing
평일 허용시간 has 1097 (48.3%) missing valuesMissing
토요일 허용시간 has 1104 (48.6%) missing valuesMissing
일요일 허용시간 has 1117 (49.1%) missing valuesMissing
공휴일 허용시간 has 1151 (50.6%) missing valuesMissing
기타 has 2028 (89.2%) missing valuesMissing
아이디 has unique valuesUnique
시설 아이디 has unique valuesUnique
정면이미지명 has unique valuesUnique
좌측 원경 이미지명 has unique valuesUnique
우측 원경 이미지명 has unique valuesUnique
새주소 아이디 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-11 06:34:12.587022
Analysis finished2023-12-11 06:34:13.808406
Duration1.22 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

아이디
Real number (ℝ)

UNIQUE 

Distinct2273
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1137
Minimum1
Maximum2273
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.1 KiB
2023-12-11T15:34:13.891384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile114.6
Q1569
median1137
Q31705
95-th percentile2159.4
Maximum2273
Range2272
Interquartile range (IQR)1136

Descriptive statistics

Standard deviation656.3029
Coefficient of variation (CV)0.57722331
Kurtosis-1.2
Mean1137
Median Absolute Deviation (MAD)568
Skewness0
Sum2584401
Variance430733.5
MonotonicityNot monotonic
2023-12-11T15:34:14.052512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
280 1
 
< 0.1%
791 1
 
< 0.1%
688 1
 
< 0.1%
714 1
 
< 0.1%
781 1
 
< 0.1%
784 1
 
< 0.1%
785 1
 
< 0.1%
789 1
 
< 0.1%
794 1
 
< 0.1%
618 1
 
< 0.1%
Other values (2263) 2263
99.6%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
2273 1
< 0.1%
2272 1
< 0.1%
2271 1
< 0.1%
2270 1
< 0.1%
2269 1
< 0.1%
2268 1
< 0.1%
2267 1
< 0.1%
2266 1
< 0.1%
2265 1
< 0.1%
2264 1
< 0.1%

새주소 아이디
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2273
Missing (%)100.0%
Memory size20.1 KiB

시설 아이디
Text

UNIQUE 

Distinct2273
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
2023-12-11T15:34:14.380978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters22730
Distinct characters15
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

Unique2273 ?
Unique (%)100.0%

Sample

1st rowB0173_C002
2nd rowB0312_C002
3rd rowB0884_C001
4th rowB1293_C001
5th rowB1297_C001
ValueCountFrequency (%)
b0173_c002 1
 
< 0.1%
b0702_c001 1
 
< 0.1%
b0706_c001 1
 
< 0.1%
b0566_c002 1
 
< 0.1%
b0596_c001 1
 
< 0.1%
b0693_c003 1
 
< 0.1%
b0696_c001 1
 
< 0.1%
b0697_c001 1
 
< 0.1%
b0471_c001 1
 
< 0.1%
b0458_c001 1
 
< 0.1%
Other values (2263) 2263
99.6%
2023-12-11T15:34:14.878920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6545
28.8%
1 3298
14.5%
_ 2273
 
10.0%
C 2273
 
10.0%
B 2202
 
9.7%
2 1264
 
5.6%
3 861
 
3.8%
4 760
 
3.3%
6 684
 
3.0%
5 663
 
2.9%
Other values (5) 1907
 
8.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15911
70.0%
Uppercase Letter 4546
 
20.0%
Connector Punctuation 2273
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6545
41.1%
1 3298
20.7%
2 1264
 
7.9%
3 861
 
5.4%
4 760
 
4.8%
6 684
 
4.3%
5 663
 
4.2%
9 617
 
3.9%
7 616
 
3.9%
8 603
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
C 2273
50.0%
B 2202
48.4%
P 67
 
1.5%
R 4
 
0.1%
Connector Punctuation
ValueCountFrequency (%)
_ 2273
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18184
80.0%
Latin 4546
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6545
36.0%
1 3298
18.1%
_ 2273
 
12.5%
2 1264
 
7.0%
3 861
 
4.7%
4 760
 
4.2%
6 684
 
3.8%
5 663
 
3.6%
9 617
 
3.4%
7 616
 
3.4%
Latin
ValueCountFrequency (%)
C 2273
50.0%
B 2202
48.4%
P 67
 
1.5%
R 4
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22730
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6545
28.8%
1 3298
14.5%
_ 2273
 
10.0%
C 2273
 
10.0%
B 2202
 
9.7%
2 1264
 
5.6%
3 861
 
3.8%
4 760
 
3.3%
6 684
 
3.0%
5 663
 
2.9%
Other values (5) 1907
 
8.4%

시설명
Text

Distinct1414
Distinct (%)62.2%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
2023-12-11T15:34:15.183041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length23
Mean length7.4676639
Min length2

Characters and Unicode

Total characters16974
Distinct characters544
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique900 ?
Unique (%)39.6%

Sample

1st row뉴코아아울렛 강남점
2nd row㈜누죤패션몰
3rd row국립정신건강센터
4th row로얄빌딩
5th row1stAvenue
ValueCountFrequency (%)
홈플러스 34
 
1.3%
보건소 27
 
1.0%
이마트 20
 
0.7%
롯데백화점 17
 
0.6%
박물관 16
 
0.6%
재단법인아산사회복지재단 15
 
0.6%
서울아산병원 15
 
0.6%
의료법인 15
 
0.6%
은마아파트 14
 
0.5%
한국보훈복지의료공단 13
 
0.5%
Other values (1506) 2502
93.1%
2023-12-11T15:34:15.606425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 855
 
5.0%
병 629
 
3.7%
418
 
2.5%
서 416
 
2.5%
관 302
 
1.8%
빌 296
 
1.7%
딩 270
 
1.6%
스 267
 
1.6%
점 262
 
1.5%
대 247
 
1.5%
Other values (534) 13012
76.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16011
94.3%
Space Separator 418
 
2.5%
Uppercase Letter 156
 
0.9%
Decimal Number 140
 
0.8%
Open Punctuation 73
 
0.4%
Close Punctuation 73
 
0.4%
Lowercase Letter 49
 
0.3%
Other Symbol 23
 
0.1%
Other Punctuation 12
 
0.1%
Dash Punctuation 8
 
< 0.1%
Other values (2) 11
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 855
 
5.3%
병 629
 
3.9%
서 416
 
2.6%
관 302
 
1.9%
빌 296
 
1.8%
딩 270
 
1.7%
스 267
 
1.7%
점 262
 
1.6%
대 247
 
1.5%
한 247
 
1.5%
Other values (476) 12220
76.3%
Uppercase Letter
ValueCountFrequency (%)
C 19
 
12.2%
S 15
 
9.6%
I 12
 
7.7%
W 10
 
6.4%
T 10
 
6.4%
O 9
 
5.8%
A 9
 
5.8%
E 9
 
5.8%
V 8
 
5.1%
R 7
 
4.5%
Other values (9) 48
30.8%
Lowercase Letter
ValueCountFrequency (%)
e 8
16.3%
l 8
16.3%
c 6
12.2%
t 5
10.2%
i 5
10.2%
a 3
 
6.1%
y 2
 
4.1%
f 2
 
4.1%
o 2
 
4.1%
r 2
 
4.1%
Other values (6) 6
12.2%
Decimal Number
ValueCountFrequency (%)
2 34
24.3%
1 33
23.6%
0 15
10.7%
3 15
10.7%
6 13
 
9.3%
5 11
 
7.9%
4 7
 
5.0%
7 6
 
4.3%
8 3
 
2.1%
9 3
 
2.1%
Other Punctuation
ValueCountFrequency (%)
? 7
58.3%
, 3
25.0%
& 2
 
16.7%
Open Punctuation
ValueCountFrequency (%)
( 72
98.6%
[ 1
 
1.4%
Close Punctuation
ValueCountFrequency (%)
) 72
98.6%
] 1
 
1.4%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
66.7%
Ⅰ 2
33.3%
Space Separator
ValueCountFrequency (%)
418
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16034
94.5%
Common 729
 
4.3%
Latin 211
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 855
 
5.3%
병 629
 
3.9%
서 416
 
2.6%
관 302
 
1.9%
빌 296
 
1.8%
딩 270
 
1.7%
스 267
 
1.7%
점 262
 
1.6%
대 247
 
1.5%
한 247
 
1.5%
Other values (477) 12243
76.4%
Latin
ValueCountFrequency (%)
C 19
 
9.0%
S 15
 
7.1%
I 12
 
5.7%
W 10
 
4.7%
T 10
 
4.7%
O 9
 
4.3%
A 9
 
4.3%
E 9
 
4.3%
e 8
 
3.8%
V 8
 
3.8%
Other values (27) 102
48.3%
Common
ValueCountFrequency (%)
418
57.3%
( 72
 
9.9%
) 72
 
9.9%
2 34
 
4.7%
1 33
 
4.5%
0 15
 
2.1%
3 15
 
2.1%
6 13
 
1.8%
5 11
 
1.5%
- 8
 
1.1%
Other values (10) 38
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16011
94.3%
ASCII 934
 
5.5%
None 23
 
0.1%
Number Forms 6
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 855
 
5.3%
병 629
 
3.9%
서 416
 
2.6%
관 302
 
1.9%
빌 296
 
1.8%
딩 270
 
1.7%
스 267
 
1.7%
점 262
 
1.6%
대 247
 
1.5%
한 247
 
1.5%
Other values (476) 12220
76.3%
ASCII
ValueCountFrequency (%)
418
44.8%
( 72
 
7.7%
) 72
 
7.7%
2 34
 
3.6%
1 33
 
3.5%
C 19
 
2.0%
0 15
 
1.6%
3 15
 
1.6%
S 15
 
1.6%
6 13
 
1.4%
Other values (45) 228
24.4%
None
ValueCountFrequency (%)
㈜ 23
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
66.7%
Ⅰ 2
33.3%

출입구 아이디
Categorical

IMBALANCE 

Distinct17
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
C001
1439 
C002
502 
C003
160 
C004
 
75
C005
 
32
Other values (12)
 
65

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st rowC002
2nd rowC002
3rd rowC001
4th rowC001
5th rowC001

Common Values

ValueCountFrequency (%)
C001 1439
63.3%
C002 502
 
22.1%
C003 160
 
7.0%
C004 75
 
3.3%
C005 32
 
1.4%
C006 19
 
0.8%
C007 11
 
0.5%
C008 9
 
0.4%
C009 6
 
0.3%
C011 4
 
0.2%
Other values (7) 16
 
0.7%

Length

2023-12-11T15:34:15.744498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
c001 1439
63.3%
c002 502
 
22.1%
c003 160
 
7.0%
c004 75
 
3.3%
c005 32
 
1.4%
c006 19
 
0.8%
c007 11
 
0.5%
c008 9
 
0.4%
c009 6
 
0.3%
c011 4
 
0.2%
Other values (7) 16
 
0.7%

위도
Real number (ℝ)

Distinct2153
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.543349
Minimum37.448505
Maximum37.684612
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.1 KiB
2023-12-11T15:34:15.866338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.448505
5-th percentile37.480438
Q137.50571
median37.533623
Q337.569366
95-th percentile37.640987
Maximum37.684612
Range0.236107
Interquartile range (IQR)0.063656

Descriptive statistics

Standard deviation0.048488195
Coefficient of variation (CV)0.0012915256
Kurtosis-0.15852726
Mean37.543349
Median Absolute Deviation (MAD)0.032017
Skewness0.66383233
Sum85336.033
Variance0.002351105
MonotonicityNot monotonic
2023-12-11T15:34:16.006360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.55828 4
 
0.2%
37.518627 4
 
0.2%
37.484257 4
 
0.2%
37.505386 3
 
0.1%
37.606747 3
 
0.1%
37.57752 3
 
0.1%
37.55468 3
 
0.1%
37.519783 3
 
0.1%
37.520416 3
 
0.1%
37.511303 3
 
0.1%
Other values (2143) 2240
98.5%
ValueCountFrequency (%)
37.448505 1
< 0.1%
37.449875 1
< 0.1%
37.450428 1
< 0.1%
37.450924 1
< 0.1%
37.451366 1
< 0.1%
37.451378 1
< 0.1%
37.45141 1
< 0.1%
37.452003 1
< 0.1%
37.452045 1
< 0.1%
37.45233 1
< 0.1%
ValueCountFrequency (%)
37.684612 1
< 0.1%
37.684048 1
< 0.1%
37.680134 1
< 0.1%
37.68002 1
< 0.1%
37.678677 1
< 0.1%
37.67864 1
< 0.1%
37.678555 1
< 0.1%
37.677334 1
< 0.1%
37.674477 1
< 0.1%
37.67184 1
< 0.1%

경도
Real number (ℝ)

Distinct2131
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.99872
Minimum126.79688
Maximum127.17441
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.1 KiB
2023-12-11T15:34:16.134401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.79688
5-th percentile126.85003
Q1126.92079
median127.01946
Q3127.06489
95-th percentile127.12771
Maximum127.17441
Range0.37753
Interquartile range (IQR)0.1441

Descriptive statistics

Standard deviation0.087822066
Coefficient of variation (CV)0.0006915193
Kurtosis-1.0087692
Mean126.99872
Median Absolute Deviation (MAD)0.0687
Skewness-0.23660657
Sum288668.09
Variance0.0077127152
MonotonicityNot monotonic
2023-12-11T15:34:16.305279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.96505 5
 
0.2%
126.855835 4
 
0.2%
126.89656 4
 
0.2%
127.10621 3
 
0.1%
126.94021 3
 
0.1%
127.02733 3
 
0.1%
126.86669 3
 
0.1%
127.06208 3
 
0.1%
127.058784 3
 
0.1%
127.044945 3
 
0.1%
Other values (2121) 2239
98.5%
ValueCountFrequency (%)
126.79688 1
< 0.1%
126.7969 1
< 0.1%
126.801796 1
< 0.1%
126.80195 1
< 0.1%
126.80342 1
< 0.1%
126.803474 1
< 0.1%
126.807785 1
< 0.1%
126.810905 1
< 0.1%
126.81162 1
< 0.1%
126.81178 1
< 0.1%
ValueCountFrequency (%)
127.17441 1
< 0.1%
127.1737 1
< 0.1%
127.17369 1
< 0.1%
127.169586 1
< 0.1%
127.16882 1
< 0.1%
127.16397 1
< 0.1%
127.159584 1
< 0.1%
127.1586 1
< 0.1%
127.15853 1
< 0.1%
127.15727 1
< 0.1%

출입구 구분
Categorical

Distinct7
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
MED_CA
698 
MED_CE
683 
MED_CF
592 
MED_CB
162 
MED_CX
 
66
Other values (2)
72 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMED_CA
2nd rowMED_CA
3rd rowMED_CA
4th rowMED_CE
5th rowMED_CE

Common Values

ValueCountFrequency (%)
MED_CA 698
30.7%
MED_CE 683
30.0%
MED_CF 592
26.0%
MED_CB 162
 
7.1%
MED_CX 66
 
2.9%
MED_CC 37
 
1.6%
MED_CD 35
 
1.5%

Length

2023-12-11T15:34:16.484536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T15:34:16.605648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
med_ca 698
30.7%
med_ce 683
30.0%
med_cf 592
26.0%
med_cb 162
 
7.1%
med_cx 66
 
2.9%
med_cc 37
 
1.6%
med_cd 35
 
1.5%

출입 구분
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
EIO_DC
1494 
EIO_DB
394 
EIO_DA
385 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
EIO_DC 1494
65.7%
EIO_DB 394
 
17.3%
EIO_DA 385
 
16.9%

Length

2023-12-11T15:34:16.720680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T15:34:16.807048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
eio_dc 1494
65.7%
eio_db 394
 
17.3%
eio_da 385
 
16.9%

출입구 높이제한 구조물
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
EHL_N
1313 
EHL_Y
869 
<NA>
 
91

Length

Max length5
Median length5
Mean length4.9599648
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
EHL_N 1313
57.8%
EHL_Y 869
38.2%
<NA> 91
 
4.0%

Length

2023-12-11T15:34:16.947546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T15:34:17.061901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ehl_n 1313
57.8%
ehl_y 869
38.2%
na 91
 
4.0%

출입구 높이제한 구조물 높이
Categorical

IMBALANCE 

Distinct45
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
<NA>
1403 
2.1M
183 
2.3M
182 
2.2M
 
131
2M
 
98
Other values (40)
276 

Length

Max length5
Median length4
Mean length3.9208095
Min length2

Unique

Unique15 ?
Unique (%)0.7%

Sample

1st row1.8M
2nd row2.1M
3rd row3.8M
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1403
61.7%
2.1M 183
 
8.1%
2.3M 182
 
8.0%
2.2M 131
 
5.8%
2M 98
 
4.3%
1.9M 34
 
1.5%
1.55M 29
 
1.3%
1.8M 26
 
1.1%
2.8M 22
 
1.0%
2.5M 21
 
0.9%
Other values (35) 144
 
6.3%

Length

2023-12-11T15:34:17.196037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1403
61.7%
2.1m 183
 
8.1%
2.3m 182
 
8.0%
2.2m 132
 
5.8%
2m 98
 
4.3%
1.9m 34
 
1.5%
1.55m 29
 
1.3%
1.8m 26
 
1.1%
2.8m 22
 
1.0%
2.5m 21
 
0.9%
Other values (34) 143
 
6.3%

평일 허용시간
Text

MISSING 

Distinct83
Distinct (%)7.1%
Missing1097
Missing (%)48.3%
Memory size17.9 KiB
2023-12-11T15:34:17.373800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.9362245
Min length4

Characters and Unicode

Total characters10509
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

Unique32 ?
Unique (%)2.7%

Sample

1st row0000-2400
2nd row0000-2400
3rd row0600-2300
4th row0700-2300
5th row0900-1800
ValueCountFrequency (%)
0000-2400 742
63.1%
0900-1800 78
 
6.6%
1000-2400 24
 
2.0%
0900-2000 24
 
2.0%
0900-2200 23
 
2.0%
1000-2200 18
 
1.5%
0700-2200 16
 
1.4%
1000-1800 16
 
1.4%
wd_n 15
 
1.3%
0900-2100 12
 
1.0%
Other values (73) 208
 
17.7%
2023-12-11T15:34:17.652839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6491
61.8%
- 1161
 
11.0%
2 1077
 
10.2%
4 784
 
7.5%
1 333
 
3.2%
9 210
 
2.0%
8 155
 
1.5%
3 134
 
1.3%
7 73
 
0.7%
6 20
 
0.2%
Other values (5) 71
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9288
88.4%
Dash Punctuation 1161
 
11.0%
Uppercase Letter 45
 
0.4%
Connector Punctuation 15
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6491
69.9%
2 1077
 
11.6%
4 784
 
8.4%
1 333
 
3.6%
9 210
 
2.3%
8 155
 
1.7%
3 134
 
1.4%
7 73
 
0.8%
6 20
 
0.2%
5 11
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
W 15
33.3%
D 15
33.3%
N 15
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 1161
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10464
99.6%
Latin 45
 
0.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6491
62.0%
- 1161
 
11.1%
2 1077
 
10.3%
4 784
 
7.5%
1 333
 
3.2%
9 210
 
2.0%
8 155
 
1.5%
3 134
 
1.3%
7 73
 
0.7%
6 20
 
0.2%
Other values (2) 26
 
0.2%
Latin
ValueCountFrequency (%)
W 15
33.3%
D 15
33.3%
N 15
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10509
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6491
61.8%
- 1161
 
11.0%
2 1077
 
10.2%
4 784
 
7.5%
1 333
 
3.2%
9 210
 
2.0%
8 155
 
1.5%
3 134
 
1.3%
7 73
 
0.7%
6 20
 
0.2%
Other values (5) 71
 
0.7%

토요일 허용시간
Text

MISSING 

Distinct84
Distinct (%)7.2%
Missing1104
Missing (%)48.6%
Memory size17.9 KiB
2023-12-11T15:34:17.877064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.8083832
Min length5

Characters and Unicode

Total characters10297
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

Unique28 ?
Unique (%)2.4%

Sample

1st row0000-2400
2nd row0000-2400
3rd row0600-2300
4th row0700-2300
5th row0900-1300
ValueCountFrequency (%)
0000-2400 752
64.3%
wst_n 56
 
4.8%
0900-1300 27
 
2.3%
1000-2400 24
 
2.1%
0900-1800 23
 
2.0%
0900-1700 23
 
2.0%
1000-2200 18
 
1.5%
1000-1800 17
 
1.5%
0900-2200 12
 
1.0%
1000-2300 12
 
1.0%
Other values (74) 205
 
17.5%
2023-12-11T15:34:18.228465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6253
60.7%
- 1113
 
10.8%
2 1030
 
10.0%
4 808
 
7.8%
1 313
 
3.0%
9 158
 
1.5%
3 144
 
1.4%
8 85
 
0.8%
7 74
 
0.7%
W 56
 
0.5%
Other values (6) 263
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8904
86.5%
Dash Punctuation 1113
 
10.8%
Uppercase Letter 224
 
2.2%
Connector Punctuation 56
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6253
70.2%
2 1030
 
11.6%
4 808
 
9.1%
1 313
 
3.5%
9 158
 
1.8%
3 144
 
1.6%
8 85
 
1.0%
7 74
 
0.8%
6 21
 
0.2%
5 18
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
W 56
25.0%
S 56
25.0%
T 56
25.0%
N 56
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 1113
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10073
97.8%
Latin 224
 
2.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6253
62.1%
- 1113
 
11.0%
2 1030
 
10.2%
4 808
 
8.0%
1 313
 
3.1%
9 158
 
1.6%
3 144
 
1.4%
8 85
 
0.8%
7 74
 
0.7%
_ 56
 
0.6%
Other values (2) 39
 
0.4%
Latin
ValueCountFrequency (%)
W 56
25.0%
S 56
25.0%
T 56
25.0%
N 56
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10297
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6253
60.7%
- 1113
 
10.8%
2 1030
 
10.0%
4 808
 
7.8%
1 313
 
3.0%
9 158
 
1.5%
3 144
 
1.4%
8 85
 
0.8%
7 74
 
0.7%
W 56
 
0.5%
Other values (6) 263
 
2.6%

일요일 허용시간
Text

MISSING 

Distinct60
Distinct (%)5.2%
Missing1117
Missing (%)49.1%
Memory size17.9 KiB
2023-12-11T15:34:18.409248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.5121107
Min length5

Characters and Unicode

Total characters9840
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

Unique19 ?
Unique (%)1.6%

Sample

1st row0000-2400
2nd row0000-2400
3rd row0600-2300
4th row0700-2300
5th row0900-1300
ValueCountFrequency (%)
0000-2400 749
64.8%
wsu_n 141
 
12.2%
0900-1700 23
 
2.0%
1000-2400 22
 
1.9%
1000-2200 18
 
1.6%
0900-1800 16
 
1.4%
1000-1800 15
 
1.3%
0700-2200 13
 
1.1%
0900-2200 12
 
1.0%
0800-2200 11
 
1.0%
Other values (50) 136
 
11.8%
2023-12-11T15:34:18.719067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5791
58.9%
- 1015
 
10.3%
2 1008
 
10.2%
4 783
 
8.0%
1 207
 
2.1%
W 141
 
1.4%
S 141
 
1.4%
U 141
 
1.4%
_ 141
 
1.4%
N 141
 
1.4%
Other values (6) 331
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8120
82.5%
Dash Punctuation 1015
 
10.3%
Uppercase Letter 564
 
5.7%
Connector Punctuation 141
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5791
71.3%
2 1008
 
12.4%
4 783
 
9.6%
1 207
 
2.5%
9 90
 
1.1%
3 86
 
1.1%
7 65
 
0.8%
8 63
 
0.8%
6 16
 
0.2%
5 11
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
W 141
25.0%
S 141
25.0%
U 141
25.0%
N 141
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 1015
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 141
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9276
94.3%
Latin 564
 
5.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5791
62.4%
- 1015
 
10.9%
2 1008
 
10.9%
4 783
 
8.4%
1 207
 
2.2%
_ 141
 
1.5%
9 90
 
1.0%
3 86
 
0.9%
7 65
 
0.7%
8 63
 
0.7%
Other values (2) 27
 
0.3%
Latin
ValueCountFrequency (%)
W 141
25.0%
S 141
25.0%
U 141
25.0%
N 141
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9840
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5791
58.9%
- 1015
 
10.3%
2 1008
 
10.2%
4 783
 
8.0%
1 207
 
2.1%
W 141
 
1.4%
S 141
 
1.4%
U 141
 
1.4%
_ 141
 
1.4%
N 141
 
1.4%
Other values (6) 331
 
3.4%

공휴일 허용시간
Text

MISSING 

Distinct56
Distinct (%)5.0%
Missing1151
Missing (%)50.6%
Memory size17.9 KiB
2023-12-11T15:34:18.865161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.2647059
Min length4

Characters and Unicode

Total characters9273
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

Unique17 ?
Unique (%)1.5%

Sample

1st row0000-2400
2nd row0000-2400
3rd row0600-2300
4th row0700-2300
5th row0900-1300
ValueCountFrequency (%)
0000-2400 750
66.8%
hd_n 165
 
14.7%
1000-2400 22
 
2.0%
1000-2200 16
 
1.4%
0900-1800 13
 
1.2%
0800-2200 9
 
0.8%
0700-2300 8
 
0.7%
0900-2200 7
 
0.6%
1000-1800 7
 
0.6%
1000-2300 7
 
0.6%
Other values (46) 118
 
10.5%
2023-12-11T15:34:19.125230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5506
59.4%
2 960
 
10.4%
- 957
 
10.3%
4 783
 
8.4%
H 165
 
1.8%
D 165
 
1.8%
_ 165
 
1.8%
N 165
 
1.8%
1 159
 
1.7%
3 81
 
0.9%
Other values (5) 167
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7656
82.6%
Dash Punctuation 957
 
10.3%
Uppercase Letter 495
 
5.3%
Connector Punctuation 165
 
1.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5506
71.9%
2 960
 
12.5%
4 783
 
10.2%
1 159
 
2.1%
3 81
 
1.1%
9 57
 
0.7%
8 49
 
0.6%
7 37
 
0.5%
6 16
 
0.2%
5 8
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
H 165
33.3%
D 165
33.3%
N 165
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 957
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 165
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8778
94.7%
Latin 495
 
5.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5506
62.7%
2 960
 
10.9%
- 957
 
10.9%
4 783
 
8.9%
_ 165
 
1.9%
1 159
 
1.8%
3 81
 
0.9%
9 57
 
0.6%
8 49
 
0.6%
7 37
 
0.4%
Other values (2) 24
 
0.3%
Latin
ValueCountFrequency (%)
H 165
33.3%
D 165
33.3%
N 165
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9273
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5506
59.4%
2 960
 
10.4%
- 957
 
10.3%
4 783
 
8.4%
H 165
 
1.8%
D 165
 
1.8%
_ 165
 
1.8%
N 165
 
1.8%
1 159
 
1.7%
3 81
 
0.9%
Other values (5) 167
 
1.8%

기타
Text

MISSING 

Distinct171
Distinct (%)69.8%
Missing2028
Missing (%)89.2%
Memory size17.9 KiB
2023-12-11T15:34:19.332034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length31
Mean length12.693878
Min length2

Characters and Unicode

Total characters3110
Distinct characters254
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique139 ?
Unique (%)56.7%

Sample

1st row기계식 주차장
2nd rowMED_CX(주차타워)
3rd row폐쇄
4th row월주차 전용
5th row탄천주차장 폐쇄, 일반차량 출입금지
ValueCountFrequency (%)
휴무 30
 
4.5%
월요일 29
 
4.3%
휴관 21
 
3.1%
일요일 16
 
2.4%
출입구 16
 
2.4%
전용 14
 
2.1%
매주 11
 
1.6%
2,4주 10
 
1.5%
주차장 9
 
1.3%
기계식주차장 8
 
1.2%
Other values (315) 510
75.7%
2023-12-11T15:34:19.751986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
429
 
13.8%
0 121
 
3.9%
주 118
 
3.8%
일 108
 
3.5%
차 106
 
3.4%
휴 70
 
2.3%
요 67
 
2.2%
, 62
 
2.0%
용 60
 
1.9%
지 60
 
1.9%
Other values (244) 1909
61.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2059
66.2%
Space Separator 429
 
13.8%
Decimal Number 284
 
9.1%
Uppercase Letter 128
 
4.1%
Other Punctuation 78
 
2.5%
Dash Punctuation 31
 
1.0%
Open Punctuation 29
 
0.9%
Close Punctuation 29
 
0.9%
Connector Punctuation 26
 
0.8%
Math Symbol 14
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 118
 
5.7%
일 108
 
5.2%
차 106
 
5.1%
휴 70
 
3.4%
요 67
 
3.3%
용 60
 
2.9%
지 60
 
2.9%
장 60
 
2.9%
월 53
 
2.6%
구 46
 
2.2%
Other values (210) 1311
63.7%
Decimal Number
ValueCountFrequency (%)
0 121
42.6%
2 54
19.0%
1 41
 
14.4%
3 26
 
9.2%
4 21
 
7.4%
9 8
 
2.8%
8 7
 
2.5%
5 5
 
1.8%
6 1
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
M 26
20.3%
C 24
18.8%
E 24
18.8%
D 24
18.8%
X 24
18.8%
G 2
 
1.6%
S 2
 
1.6%
R 1
 
0.8%
V 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 62
79.5%
: 8
 
10.3%
/ 4
 
5.1%
. 2
 
2.6%
? 1
 
1.3%
& 1
 
1.3%
Lowercase Letter
ValueCountFrequency (%)
s 1
33.3%
u 1
33.3%
v 1
33.3%
Math Symbol
ValueCountFrequency (%)
~ 8
57.1%
+ 6
42.9%
Space Separator
ValueCountFrequency (%)
429
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2059
66.2%
Common 920
29.6%
Latin 131
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 118
 
5.7%
일 108
 
5.2%
차 106
 
5.1%
휴 70
 
3.4%
요 67
 
3.3%
용 60
 
2.9%
지 60
 
2.9%
장 60
 
2.9%
월 53
 
2.6%
구 46
 
2.2%
Other values (210) 1311
63.7%
Common
ValueCountFrequency (%)
429
46.6%
0 121
 
13.2%
, 62
 
6.7%
2 54
 
5.9%
1 41
 
4.5%
- 31
 
3.4%
( 29
 
3.2%
) 29
 
3.2%
_ 26
 
2.8%
3 26
 
2.8%
Other values (12) 72
 
7.8%
Latin
ValueCountFrequency (%)
M 26
19.8%
C 24
18.3%
E 24
18.3%
D 24
18.3%
X 24
18.3%
G 2
 
1.5%
S 2
 
1.5%
R 1
 
0.8%
s 1
 
0.8%
u 1
 
0.8%
Other values (2) 2
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2059
66.2%
ASCII 1051
33.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
429
40.8%
0 121
 
11.5%
, 62
 
5.9%
2 54
 
5.1%
1 41
 
3.9%
- 31
 
2.9%
( 29
 
2.8%
) 29
 
2.8%
_ 26
 
2.5%
3 26
 
2.5%
Other values (24) 203
19.3%
Hangul
ValueCountFrequency (%)
주 118
 
5.7%
일 108
 
5.2%
차 106
 
5.1%
휴 70
 
3.4%
요 67
 
3.3%
용 60
 
2.9%
지 60
 
2.9%
장 60
 
2.9%
월 53
 
2.6%
구 46
 
2.2%
Other values (210) 1311
63.7%

국가지점번호
Text

Distinct2098
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
2023-12-11T15:34:20.149604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters27276
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

Unique1942 ?
Unique (%)85.4%

Sample

1st row다사 5640 4580
2nd row다사 5700 5202
3rd row다사 6348 5183
4th row다사 5826 4755
5th row다사 5762 4642
ValueCountFrequency (%)
다사 2273
33.3%
4760 14
 
0.2%
4887 10
 
0.1%
6136 9
 
0.1%
4399 9
 
0.1%
5274 9
 
0.1%
4667 8
 
0.1%
4753 8
 
0.1%
4663 8
 
0.1%
5143 8
 
0.1%
Other values (2017) 4463
65.4%
2023-12-11T15:34:20.776606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4546
16.7%
4 3361
12.3%
5 3013
11.0%
6 2327
8.5%
다 2273
8.3%
사 2273
8.3%
7 1429
 
5.2%
8 1414
 
5.2%
1 1407
 
5.2%
2 1375
 
5.0%
Other values (3) 3858
14.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18184
66.7%
Space Separator 4546
 
16.7%
Other Letter 4546
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 3361
18.5%
5 3013
16.6%
6 2327
12.8%
7 1429
7.9%
8 1414
7.8%
1 1407
7.7%
2 1375
7.6%
3 1329
 
7.3%
9 1287
 
7.1%
0 1242
 
6.8%
Other Letter
ValueCountFrequency (%)
다 2273
50.0%
사 2273
50.0%
Space Separator
ValueCountFrequency (%)
4546
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22730
83.3%
Hangul 4546
 
16.7%

Most frequent character per script

Common
ValueCountFrequency (%)
4546
20.0%
4 3361
14.8%
5 3013
13.3%
6 2327
10.2%
7 1429
 
6.3%
8 1414
 
6.2%
1 1407
 
6.2%
2 1375
 
6.0%
3 1329
 
5.8%
9 1287
 
5.7%
Hangul
ValueCountFrequency (%)
다 2273
50.0%
사 2273
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22730
83.3%
Hangul 4546
 
16.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4546
20.0%
4 3361
14.8%
5 3013
13.3%
6 2327
10.2%
7 1429
 
6.3%
8 1414
 
6.2%
1 1407
 
6.2%
2 1375
 
6.0%
3 1329
 
5.8%
9 1287
 
5.7%
Hangul
ValueCountFrequency (%)
다 2273
50.0%
사 2273
50.0%

데이터 기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
44905
2273 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row44905
2nd row44905
3rd row44905
4th row44905
5th row44905

Common Values

ValueCountFrequency (%)
44905 2273
100.0%

Length

2023-12-11T15:34:20.989990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T15:34:21.119844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
44905 2273
100.0%

정면이미지명
Text

UNIQUE 

Distinct2273
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
2023-12-11T15:34:21.350543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters40914
Distinct characters20
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

Unique2273 ?
Unique (%)100.0%

Sample

1st rowB0173_C002_01.jpeg
2nd rowB0312_C002_01.jpeg
3rd rowB0884_C001_01.jpeg
4th rowB1293_C001_01.jpeg
5th rowB1297_C001_01.jpeg
ValueCountFrequency (%)
b0173_c002_01.jpeg 1
 
< 0.1%
b0702_c001_01.jpeg 1
 
< 0.1%
b0706_c001_01.jpeg 1
 
< 0.1%
b0566_c002_01.jpeg 1
 
< 0.1%
b0596_c001_01.jpeg 1
 
< 0.1%
b0693_c003_01.jpeg 1
 
< 0.1%
b0696_c001_01.jpeg 1
 
< 0.1%
b0697_c001_01.jpeg 1
 
< 0.1%
b0471_c001_01.jpeg 1
 
< 0.1%
b0458_c001_01.jpeg 1
 
< 0.1%
Other values (2263) 2263
99.6%
2023-12-11T15:34:21.739189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8818
21.6%
1 5571
13.6%
_ 4546
11.1%
p 2273
 
5.6%
j 2273
 
5.6%
g 2273
 
5.6%
e 2273
 
5.6%
C 2273
 
5.6%
. 2273
 
5.6%
B 2202
 
5.4%
Other values (10) 6139
15.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20457
50.0%
Lowercase Letter 9092
22.2%
Connector Punctuation 4546
 
11.1%
Uppercase Letter 4546
 
11.1%
Other Punctuation 2273
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8818
43.1%
1 5571
27.2%
2 1264
 
6.2%
3 861
 
4.2%
4 760
 
3.7%
6 684
 
3.3%
5 663
 
3.2%
9 617
 
3.0%
7 616
 
3.0%
8 603
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
p 2273
25.0%
j 2273
25.0%
g 2273
25.0%
e 2273
25.0%
Uppercase Letter
ValueCountFrequency (%)
C 2273
50.0%
B 2202
48.4%
P 67
 
1.5%
R 4
 
0.1%
Connector Punctuation
ValueCountFrequency (%)
_ 4546
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2273
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 27276
66.7%
Latin 13638
33.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8818
32.3%
1 5571
20.4%
_ 4546
16.7%
. 2273
 
8.3%
2 1264
 
4.6%
3 861
 
3.2%
4 760
 
2.8%
6 684
 
2.5%
5 663
 
2.4%
9 617
 
2.3%
Other values (2) 1219
 
4.5%
Latin
ValueCountFrequency (%)
p 2273
16.7%
j 2273
16.7%
g 2273
16.7%
e 2273
16.7%
C 2273
16.7%
B 2202
16.1%
P 67
 
0.5%
R 4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 40914
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8818
21.6%
1 5571
13.6%
_ 4546
11.1%
p 2273
 
5.6%
j 2273
 
5.6%
g 2273
 
5.6%
e 2273
 
5.6%
C 2273
 
5.6%
. 2273
 
5.6%
B 2202
 
5.4%
Other values (10) 6139
15.0%

좌측 원경 이미지명
Text

UNIQUE 

Distinct2273
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
2023-12-11T15:34:21.975119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters40914
Distinct characters20
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

Unique2273 ?
Unique (%)100.0%

Sample

1st rowB0173_C002_02.jpeg
2nd rowB0312_C002_02.jpeg
3rd rowB0884_C001_02.jpeg
4th rowB1293_C001_02.jpeg
5th rowB1297_C001_02.jpeg
ValueCountFrequency (%)
b0173_c002_02.jpeg 1
 
< 0.1%
b0702_c001_02.jpeg 1
 
< 0.1%
b0706_c001_02.jpeg 1
 
< 0.1%
b0566_c002_02.jpeg 1
 
< 0.1%
b0596_c001_02.jpeg 1
 
< 0.1%
b0693_c003_02.jpeg 1
 
< 0.1%
b0696_c001_02.jpeg 1
 
< 0.1%
b0697_c001_02.jpeg 1
 
< 0.1%
b0471_c001_02.jpeg 1
 
< 0.1%
b0458_c001_02.jpeg 1
 
< 0.1%
Other values (2263) 2263
99.6%
2023-12-11T15:34:22.323501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8818
21.6%
_ 4546
11.1%
2 3537
8.6%
1 3298
 
8.1%
p 2273
 
5.6%
g 2273
 
5.6%
e 2273
 
5.6%
C 2273
 
5.6%
. 2273
 
5.6%
j 2273
 
5.6%
Other values (10) 7077
17.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20457
50.0%
Lowercase Letter 9092
22.2%
Connector Punctuation 4546
 
11.1%
Uppercase Letter 4546
 
11.1%
Other Punctuation 2273
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8818
43.1%
2 3537
17.3%
1 3298
 
16.1%
3 861
 
4.2%
4 760
 
3.7%
6 684
 
3.3%
5 663
 
3.2%
9 617
 
3.0%
7 616
 
3.0%
8 603
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
p 2273
25.0%
g 2273
25.0%
e 2273
25.0%
j 2273
25.0%
Uppercase Letter
ValueCountFrequency (%)
C 2273
50.0%
B 2202
48.4%
P 67
 
1.5%
R 4
 
0.1%
Connector Punctuation
ValueCountFrequency (%)
_ 4546
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2273
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 27276
66.7%
Latin 13638
33.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8818
32.3%
_ 4546
16.7%
2 3537
13.0%
1 3298
 
12.1%
. 2273
 
8.3%
3 861
 
3.2%
4 760
 
2.8%
6 684
 
2.5%
5 663
 
2.4%
9 617
 
2.3%
Other values (2) 1219
 
4.5%
Latin
ValueCountFrequency (%)
p 2273
16.7%
g 2273
16.7%
e 2273
16.7%
C 2273
16.7%
j 2273
16.7%
B 2202
16.1%
P 67
 
0.5%
R 4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 40914
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8818
21.6%
_ 4546
11.1%
2 3537
8.6%
1 3298
 
8.1%
p 2273
 
5.6%
g 2273
 
5.6%
e 2273
 
5.6%
C 2273
 
5.6%
. 2273
 
5.6%
j 2273
 
5.6%
Other values (10) 7077
17.3%

우측 원경 이미지명
Text

UNIQUE 

Distinct2273
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size17.9 KiB
2023-12-11T15:34:22.604984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters40914
Distinct characters20
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

Unique2273 ?
Unique (%)100.0%

Sample

1st rowB0173_C002_03.jpeg
2nd rowB0312_C002_03.jpeg
3rd rowB0884_C001_03.jpeg
4th rowB1293_C001_03.jpeg
5th rowB1297_C001_03.jpeg
ValueCountFrequency (%)
b0173_c002_03.jpeg 1
 
< 0.1%
b0702_c001_03.jpeg 1
 
< 0.1%
b0706_c001_03.jpeg 1
 
< 0.1%
b0566_c002_03.jpeg 1
 
< 0.1%
b0596_c001_03.jpeg 1
 
< 0.1%
b0693_c003_03.jpeg 1
 
< 0.1%
b0696_c001_03.jpeg 1
 
< 0.1%
b0697_c001_03.jpeg 1
 
< 0.1%
b0471_c001_03.jpeg 1
 
< 0.1%
b0458_c001_03.jpeg 1
 
< 0.1%
Other values (2263) 2263
99.6%
2023-12-11T15:34:22.975757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8818
21.6%
_ 4546
11.1%
1 3298
 
8.1%
3 3134
 
7.7%
p 2273
 
5.6%
g 2273
 
5.6%
C 2273
 
5.6%
e 2273
 
5.6%
. 2273
 
5.6%
j 2273
 
5.6%
Other values (10) 7480
18.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20457
50.0%
Lowercase Letter 9092
22.2%
Connector Punctuation 4546
 
11.1%
Uppercase Letter 4546
 
11.1%
Other Punctuation 2273
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8818
43.1%
1 3298
 
16.1%
3 3134
 
15.3%
2 1264
 
6.2%
4 760
 
3.7%
6 684
 
3.3%
5 663
 
3.2%
9 617
 
3.0%
7 616
 
3.0%
8 603
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
p 2273
25.0%
g 2273
25.0%
e 2273
25.0%
j 2273
25.0%
Uppercase Letter
ValueCountFrequency (%)
C 2273
50.0%
B 2202
48.4%
P 67
 
1.5%
R 4
 
0.1%
Connector Punctuation
ValueCountFrequency (%)
_ 4546
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2273
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 27276
66.7%
Latin 13638
33.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8818
32.3%
_ 4546
16.7%
1 3298
 
12.1%
3 3134
 
11.5%
. 2273
 
8.3%
2 1264
 
4.6%
4 760
 
2.8%
6 684
 
2.5%
5 663
 
2.4%
9 617
 
2.3%
Other values (2) 1219
 
4.5%
Latin
ValueCountFrequency (%)
p 2273
16.7%
g 2273
16.7%
C 2273
16.7%
e 2273
16.7%
j 2273
16.7%
B 2202
16.1%
P 67
 
0.5%
R 4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 40914
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8818
21.6%
_ 4546
11.1%
1 3298
 
8.1%
3 3134
 
7.7%
p 2273
 
5.6%
g 2273
 
5.6%
C 2273
 
5.6%
e 2273
 
5.6%
. 2273
 
5.6%
j 2273
 
5.6%
Other values (10) 7480
18.3%

Sample

아이디새주소 아이디시설 아이디시설명출입구 아이디위도경도출입구 구분출입 구분출입구 높이제한 구조물출입구 높이제한 구조물 높이평일 허용시간토요일 허용시간일요일 허용시간공휴일 허용시간기타국가지점번호데이터 기준일자정면이미지명좌측 원경 이미지명우측 원경 이미지명
0280<NA>B0173_C002뉴코아아울렛 강남점C00237.51053127.00667MED_CAEIO_DC<NA>1.8M<NA><NA><NA><NA><NA>다사 5640 458044905B0173_C002_01.jpegB0173_C002_02.jpegB0173_C002_03.jpeg
1474<NA>B0312_C002㈜누죤패션몰C00237.566628127.013176MED_CAEIO_DA<NA>2.1M<NA><NA><NA><NA><NA>다사 5700 520244905B0312_C002_01.jpegB0312_C002_02.jpegB0312_C002_03.jpeg
2983<NA>B0884_C001국립정신건강센터C00137.565147127.0865MED_CAEIO_DC<NA>3.8M<NA><NA><NA><NA><NA>다사 6348 518344905B0884_C001_01.jpegB0884_C001_02.jpegB0884_C001_03.jpeg
31470<NA>B1293_C001로얄빌딩C00137.526363127.02771MED_CEEIO_DC<NA><NA><NA><NA><NA><NA><NA>다사 5826 475544905B1293_C001_01.jpegB1293_C001_02.jpegB1293_C001_03.jpeg
41473<NA>B1297_C0011stAvenueC00137.516163127.020454MED_CEEIO_DC<NA><NA><NA><NA><NA><NA><NA>다사 5762 464244905B1297_C001_01.jpegB1297_C001_02.jpegB1297_C001_03.jpeg
51478<NA>B1300_C001렉스타워C00137.516174127.02078MED_CEEIO_DC<NA><NA><NA><NA><NA><NA><NA>다사 5765 464244905B1300_C001_01.jpegB1300_C001_02.jpegB1300_C001_03.jpeg
6308<NA>B0188_C001이마트 미아점C00137.61046127.02969MED_CAEIO_DC<NA>1.9M<NA><NA><NA><NA><NA>다사 5849 568844905B0188_C001_01.jpegB0188_C001_02.jpegB0188_C001_03.jpeg
7277<NA>B0171_C003신세계백화점(강남점)C00337.503536127.004456MED_CBEIO_DC<NA>2.3M0000-24000000-24000000-24000000-2400<NA>다사 5620 450344905B0171_C003_01.jpegB0171_C003_02.jpegB0171_C003_03.jpeg
8868<NA>B0780_C002강동경희대학교치과병원C00237.55324127.15727MED_CFEIO_DB<NA>2.1M0000-24000000-24000000-24000000-2400<NA>다사 6972 504844905B0780_C002_01.jpegB0780_C002_02.jpegB0780_C002_03.jpeg
91571<NA>B1373_C001에코피아빌딩C00137.61153127.03051MED_CEEIO_DC<NA><NA>0600-23000600-23000600-23000600-2300<NA>다사 5856 570044905B1373_C001_01.jpegB1373_C001_02.jpegB1373_C001_03.jpeg
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