Overview

Dataset statistics

Number of variables26
Number of observations5758
Missing cells38645
Missing cells (%)25.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 MiB
Average record size in memory217.0 B

Variable types

Text7
DateTime6
Categorical6
Unsupported4
Numeric3

Dataset

Description민방위 대피시설 현황(제공표준)
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=7W3NK648FN75GFN57W9X949175&infSeq=1

Alerts

인허가취소일자 has 3926 (68.2%) missing valuesMissing
폐업일자 has 3926 (68.2%) missing valuesMissing
휴업시작일자 has 5758 (100.0%) missing valuesMissing
휴업종료일자 has 5758 (100.0%) missing valuesMissing
재개업일자 has 5758 (100.0%) missing valuesMissing
소재지면적(N/㎡) has 2020 (35.1%) missing valuesMissing
소재지우편번호 has 5758 (100.0%) missing valuesMissing
도로명우편번호 has 529 (9.2%) missing valuesMissing
좌표정보(X) has 622 (10.8%) missing valuesMissing
좌표정보(Y) has 622 (10.8%) missing valuesMissing
해제일자 has 3927 (68.2%) missing valuesMissing
관리번호 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 23:03:20.966482
Analysis finished2023-12-10 23:03:23.179461
Duration2.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Text

UNIQUE 

Distinct5758
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size45.1 KiB
2023-12-11T08:03:23.312131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length17.995137
Min length16

Characters and Unicode

Total characters103616
Distinct characters13
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

Unique5758 ?
Unique (%)100.0%

Sample

1st row4100100-S199400038
2nd row4100100-S199400039
3rd row4100100-S199400043
4th row3950000-S200300018
5th row4100100-S201000014
ValueCountFrequency (%)
4160000-s1997003 2
 
< 0.1%
4160000-s1990021 2
 
< 0.1%
4160000-s1990022 2
 
< 0.1%
4160000-s1988005 2
 
< 0.1%
4160000-s1991001 2
 
< 0.1%
5530000-s201600018 1
 
< 0.1%
5540000-s202000003 1
 
< 0.1%
5530000-s201100012 1
 
< 0.1%
5530000-s201100026 1
 
< 0.1%
5530000-s201100025 1
 
< 0.1%
Other values (5743) 5743
99.7%
2023-12-11T08:03:23.694960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 51787
50.0%
1 8262
 
8.0%
2 6740
 
6.5%
9 5804
 
5.6%
- 5758
 
5.6%
S 5758
 
5.6%
3 4864
 
4.7%
5 4143
 
4.0%
4 3626
 
3.5%
6 2834
 
2.7%
Other values (3) 4040
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 92090
88.9%
Dash Punctuation 5758
 
5.6%
Uppercase Letter 5758
 
5.6%
Space Separator 10
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 51787
56.2%
1 8262
 
9.0%
2 6740
 
7.3%
9 5804
 
6.3%
3 4864
 
5.3%
5 4143
 
4.5%
4 3626
 
3.9%
6 2834
 
3.1%
8 2320
 
2.5%
7 1710
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 5758
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 5758
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 97858
94.4%
Latin 5758
 
5.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 51787
52.9%
1 8262
 
8.4%
2 6740
 
6.9%
9 5804
 
5.9%
- 5758
 
5.9%
3 4864
 
5.0%
5 4143
 
4.2%
4 3626
 
3.7%
6 2834
 
2.9%
8 2320
 
2.4%
Other values (2) 1720
 
1.8%
Latin
ValueCountFrequency (%)
S 5758
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 103616
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 51787
50.0%
1 8262
 
8.0%
2 6740
 
6.5%
9 5804
 
5.6%
- 5758
 
5.6%
S 5758
 
5.6%
3 4864
 
4.7%
5 4143
 
4.0%
4 3626
 
3.5%
6 2834
 
2.7%
Other values (3) 4040
 
3.9%

인허가일자
Date

Distinct1867
Distinct (%)32.4%
Missing0
Missing (%)0.0%
Memory size45.1 KiB
Minimum1900-01-01 00:00:00
Maximum2023-12-05 00:00:00
2023-12-11T08:03:24.103949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:03:24.283324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct384
Distinct (%)21.0%
Missing3926
Missing (%)68.2%
Memory size45.1 KiB
Minimum1995-01-01 00:00:00
Maximum2023-11-24 00:00:00
2023-12-11T08:03:24.443013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:03:24.603220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업상태구분코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size45.1 KiB
1
3926 
4
1832 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 3926
68.2%
4 1832
31.8%

Length

2023-12-11T08:03:24.728592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:03:24.822841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3926
68.2%
4 1832
31.8%

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size45.1 KiB
영업/정상
3926 
취소/말소/만료/정지/중지
1832 

Length

Max length14
Median length5
Mean length7.8634943
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 3926
68.2%
취소/말소/만료/정지/중지 1832
31.8%

Length

2023-12-11T08:03:24.940411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:03:25.031646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 3926
68.2%
취소/말소/만료/정지/중지 1832
31.8%

상세영업상태구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size45.1 KiB
18
3926 
19
1832 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row18
2nd row18
3rd row18
4th row18
5th row18

Common Values

ValueCountFrequency (%)
18 3926
68.2%
19 1832
31.8%

Length

2023-12-11T08:03:25.127147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:03:25.223794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18 3926
68.2%
19 1832
31.8%

상세영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size45.1 KiB
사용중
3926 
사용중지
1832 

Length

Max length4
Median length3
Mean length3.318166
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사용중 3926
68.2%
사용중지 1832
31.8%

Length

2023-12-11T08:03:25.327968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:03:25.422941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중 3926
68.2%
사용중지 1832
31.8%

폐업일자
Date

MISSING 

Distinct384
Distinct (%)21.0%
Missing3926
Missing (%)68.2%
Memory size45.1 KiB
Minimum1995-01-01 00:00:00
Maximum2023-11-24 00:00:00
2023-12-11T08:03:25.571549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:03:25.697351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5758
Missing (%)100.0%
Memory size50.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5758
Missing (%)100.0%
Memory size50.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5758
Missing (%)100.0%
Memory size50.7 KiB

소재지면적(N/㎡)
Real number (ℝ)

MISSING 

Distinct3357
Distinct (%)89.8%
Missing2020
Missing (%)35.1%
Infinite0
Infinite (%)0.0%
Mean12269.63
Minimum1
Maximum243000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.7 KiB
2023-12-11T08:03:25.837647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile256.55
Q12404.74
median6281
Q315093
95-th percentile42940.9
Maximum243000
Range242999
Interquartile range (IQR)12688.26

Descriptive statistics

Standard deviation17802.392
Coefficient of variation (CV)1.4509314
Kurtosis26.450314
Mean12269.63
Median Absolute Deviation (MAD)4961
Skewness4.043235
Sum45863878
Variance3.1692516 × 108
MonotonicityNot monotonic
2023-12-11T08:03:25.974258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
330.0 10
 
0.2%
165.0 9
 
0.2%
1200.0 7
 
0.1%
198.0 6
 
0.1%
99.0 6
 
0.1%
200.0 5
 
0.1%
1980.0 5
 
0.1%
1320.0 5
 
0.1%
300.0 5
 
0.1%
133.0 5
 
0.1%
Other values (3347) 3675
63.8%
(Missing) 2020
35.1%
ValueCountFrequency (%)
1.0 1
< 0.1%
30.0 1
< 0.1%
31.0 1
< 0.1%
38.0 1
< 0.1%
44.61 1
< 0.1%
47.5 1
< 0.1%
50.0 1
< 0.1%
55.0 1
< 0.1%
65.0 2
< 0.1%
66.0 2
< 0.1%
ValueCountFrequency (%)
243000.0 1
< 0.1%
197921.31 1
< 0.1%
187681.0 1
< 0.1%
178867.0 1
< 0.1%
161226.0 1
< 0.1%
155236.0 1
< 0.1%
150574.0 1
< 0.1%
142810.6 1
< 0.1%
134617.0 1
< 0.1%
134078.0 1
< 0.1%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5758
Missing (%)100.0%
Memory size50.7 KiB

도로명전체주소
Text

Distinct5411
Distinct (%)94.0%
Missing1
Missing (%)< 0.1%
Memory size45.1 KiB
2023-12-11T08:03:26.338094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length45
Mean length30.74379
Min length16

Characters and Unicode

Total characters176992
Distinct characters588
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5181 ?
Unique (%)90.0%

Sample

1st row경기도 고양시 일산서구 대산로 164-0 (주엽동, 문촌마을2단지아파트)
2nd row경기도 고양시 일산서구 대산로 142-0 (주엽동, 문촌마을3단지아파트)
3rd row경기도 고양시 일산서구 킨텍스로 340-0 (주엽동, 문촌마을7단지아파트)
4th row경기도 고양시 덕양구 호국로 754 (성사동)
5th row경기도 고양시 일산서구 대화1로 70 (대화동, 대화마을7단지아파트)
ValueCountFrequency (%)
경기도 5758
 
16.3%
고양시 582
 
1.6%
수원시 450
 
1.3%
김포시 386
 
1.1%
부천시 357
 
1.0%
안산시 354
 
1.0%
성남시 353
 
1.0%
용인시 332
 
0.9%
안양시 314
 
0.9%
파주시 272
 
0.8%
Other values (7848) 26162
74.1%
2023-12-11T08:03:26.865910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29736
 
16.8%
동 6395
 
3.6%
시 6282
 
3.5%
기 6096
 
3.4%
도 6080
 
3.4%
경 6051
 
3.4%
로 5508
 
3.1%
) 5351
 
3.0%
( 5350
 
3.0%
1 4287
 
2.4%
Other values (578) 95856
54.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 111728
63.1%
Space Separator 29736
 
16.8%
Decimal Number 20432
 
11.5%
Close Punctuation 5351
 
3.0%
Open Punctuation 5350
 
3.0%
Other Punctuation 3293
 
1.9%
Dash Punctuation 740
 
0.4%
Uppercase Letter 278
 
0.2%
Lowercase Letter 64
 
< 0.1%
Math Symbol 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 6395
 
5.7%
시 6282
 
5.6%
기 6096
 
5.5%
도 6080
 
5.4%
경 6051
 
5.4%
로 5508
 
4.9%
구 2637
 
2.4%
파 2316
 
2.1%
아 2176
 
1.9%
양 2074
 
1.9%
Other values (515) 66113
59.2%
Uppercase Letter
ValueCountFrequency (%)
C 29
 
10.4%
K 27
 
9.7%
I 25
 
9.0%
S 20
 
7.2%
L 19
 
6.8%
T 19
 
6.8%
D 17
 
6.1%
A 15
 
5.4%
M 15
 
5.4%
G 14
 
5.0%
Other values (15) 78
28.1%
Lowercase Letter
ValueCountFrequency (%)
e 33
51.6%
a 5
 
7.8%
t 4
 
6.2%
s 3
 
4.7%
h 3
 
4.7%
n 3
 
4.7%
i 2
 
3.1%
d 2
 
3.1%
r 2
 
3.1%
u 2
 
3.1%
Other values (5) 5
 
7.8%
Decimal Number
ValueCountFrequency (%)
1 4287
21.0%
2 2985
14.6%
3 2324
11.4%
4 1803
8.8%
5 1745
8.5%
0 1665
 
8.1%
6 1626
 
8.0%
7 1495
 
7.3%
8 1305
 
6.4%
9 1197
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 3265
99.1%
. 17
 
0.5%
· 7
 
0.2%
& 3
 
0.1%
# 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 6
66.7%
Ⅰ 2
 
22.2%
Ⅳ 1
 
11.1%
Space Separator
ValueCountFrequency (%)
29736
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5351
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5350
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 740
100.0%
Math Symbol
ValueCountFrequency (%)
~ 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 111728
63.1%
Common 64913
36.7%
Latin 351
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 6395
 
5.7%
시 6282
 
5.6%
기 6096
 
5.5%
도 6080
 
5.4%
경 6051
 
5.4%
로 5508
 
4.9%
구 2637
 
2.4%
파 2316
 
2.1%
아 2176
 
1.9%
양 2074
 
1.9%
Other values (515) 66113
59.2%
Latin
ValueCountFrequency (%)
e 33
 
9.4%
C 29
 
8.3%
K 27
 
7.7%
I 25
 
7.1%
S 20
 
5.7%
L 19
 
5.4%
T 19
 
5.4%
D 17
 
4.8%
A 15
 
4.3%
M 15
 
4.3%
Other values (33) 132
37.6%
Common
ValueCountFrequency (%)
29736
45.8%
) 5351
 
8.2%
( 5350
 
8.2%
1 4287
 
6.6%
, 3265
 
5.0%
2 2985
 
4.6%
3 2324
 
3.6%
4 1803
 
2.8%
5 1745
 
2.7%
0 1665
 
2.6%
Other values (10) 6402
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 111728
63.1%
ASCII 65248
36.9%
Number Forms 9
 
< 0.1%
None 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29736
45.6%
) 5351
 
8.2%
( 5350
 
8.2%
1 4287
 
6.6%
, 3265
 
5.0%
2 2985
 
4.6%
3 2324
 
3.6%
4 1803
 
2.8%
5 1745
 
2.7%
0 1665
 
2.6%
Other values (49) 6737
 
10.3%
Hangul
ValueCountFrequency (%)
동 6395
 
5.7%
시 6282
 
5.6%
기 6096
 
5.5%
도 6080
 
5.4%
경 6051
 
5.4%
로 5508
 
4.9%
구 2637
 
2.4%
파 2316
 
2.1%
아 2176
 
1.9%
양 2074
 
1.9%
Other values (515) 66113
59.2%
None
ValueCountFrequency (%)
· 7
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 6
66.7%
Ⅰ 2
 
22.2%
Ⅳ 1
 
11.1%

소재지전체주소
Text

Distinct5328
Distinct (%)92.9%
Missing20
Missing (%)0.3%
Memory size45.1 KiB
2023-12-11T08:03:27.161176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length44
Mean length22.238062
Min length7

Characters and Unicode

Total characters127602
Distinct characters495
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5055 ?
Unique (%)88.1%

Sample

1st row경기도 고양시 일산서구 주엽동 5번지
2nd row경기도 고양시 일산서구 주엽동 32번지
3rd row경기도 고양시 일산서구 주엽동 14번지
4th row경기도 고양시 덕양구 성사동 727번지
5th row경기도 고양시 일산서구 대화동 2579번지
ValueCountFrequency (%)
경기도 5716
 
19.3%
고양시 574
 
1.9%
1호 569
 
1.9%
수원시 403
 
1.4%
김포시 386
 
1.3%
부천시 336
 
1.1%
성남시 327
 
1.1%
용인시 321
 
1.1%
2호 289
 
1.0%
안양시 286
 
1.0%
Other values (4508) 20356
68.9%
2023-12-11T08:03:27.624262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24388
19.1%
기 5939
 
4.7%
시 5931
 
4.6%
도 5862
 
4.6%
경 5751
 
4.5%
동 5616
 
4.4%
지 5408
 
4.2%
번 4763
 
3.7%
1 4258
 
3.3%
구 2508
 
2.0%
Other values (485) 57178
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 81347
63.8%
Space Separator 24388
 
19.1%
Decimal Number 21157
 
16.6%
Dash Punctuation 355
 
0.3%
Uppercase Letter 140
 
0.1%
Other Punctuation 81
 
0.1%
Open Punctuation 53
 
< 0.1%
Close Punctuation 53
 
< 0.1%
Lowercase Letter 25
 
< 0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 5939
 
7.3%
시 5931
 
7.3%
도 5862
 
7.2%
경 5751
 
7.1%
동 5616
 
6.9%
지 5408
 
6.6%
번 4763
 
5.9%
구 2508
 
3.1%
호 2286
 
2.8%
양 1808
 
2.2%
Other values (429) 35475
43.6%
Uppercase Letter
ValueCountFrequency (%)
I 15
10.7%
C 14
 
10.0%
K 12
 
8.6%
S 12
 
8.6%
E 11
 
7.9%
D 10
 
7.1%
M 9
 
6.4%
W 7
 
5.0%
A 7
 
5.0%
L 7
 
5.0%
Other values (15) 36
25.7%
Lowercase Letter
ValueCountFrequency (%)
e 12
48.0%
a 3
 
12.0%
s 2
 
8.0%
u 1
 
4.0%
d 1
 
4.0%
n 1
 
4.0%
c 1
 
4.0%
l 1
 
4.0%
r 1
 
4.0%
h 1
 
4.0%
Decimal Number
ValueCountFrequency (%)
1 4258
20.1%
2 2452
11.6%
3 2079
9.8%
5 2004
9.5%
4 1845
8.7%
7 1832
8.7%
6 1760
8.3%
8 1742
8.2%
0 1708
8.1%
9 1477
 
7.0%
Other Punctuation
ValueCountFrequency (%)
, 71
87.7%
. 9
 
11.1%
& 1
 
1.2%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅳ 1
50.0%
Space Separator
ValueCountFrequency (%)
24388
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 355
100.0%
Open Punctuation
ValueCountFrequency (%)
( 53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 53
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 81347
63.8%
Common 46088
36.1%
Latin 167
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 5939
 
7.3%
시 5931
 
7.3%
도 5862
 
7.2%
경 5751
 
7.1%
동 5616
 
6.9%
지 5408
 
6.6%
번 4763
 
5.9%
구 2508
 
3.1%
호 2286
 
2.8%
양 1808
 
2.2%
Other values (429) 35475
43.6%
Latin
ValueCountFrequency (%)
I 15
 
9.0%
C 14
 
8.4%
K 12
 
7.2%
S 12
 
7.2%
e 12
 
7.2%
E 11
 
6.6%
D 10
 
6.0%
M 9
 
5.4%
W 7
 
4.2%
A 7
 
4.2%
Other values (28) 58
34.7%
Common
ValueCountFrequency (%)
24388
52.9%
1 4258
 
9.2%
2 2452
 
5.3%
3 2079
 
4.5%
5 2004
 
4.3%
4 1845
 
4.0%
7 1832
 
4.0%
6 1760
 
3.8%
8 1742
 
3.8%
0 1708
 
3.7%
Other values (8) 2020
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 81347
63.8%
ASCII 46253
36.2%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24388
52.7%
1 4258
 
9.2%
2 2452
 
5.3%
3 2079
 
4.5%
5 2004
 
4.3%
4 1845
 
4.0%
7 1832
 
4.0%
6 1760
 
3.8%
8 1742
 
3.8%
0 1708
 
3.7%
Other values (44) 2185
 
4.7%
Hangul
ValueCountFrequency (%)
기 5939
 
7.3%
시 5931
 
7.3%
도 5862
 
7.2%
경 5751
 
7.1%
동 5616
 
6.9%
지 5408
 
6.6%
번 4763
 
5.9%
구 2508
 
3.1%
호 2286
 
2.8%
양 1808
 
2.2%
Other values (429) 35475
43.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅳ 1
50.0%

도로명우편번호
Text

MISSING 

Distinct3039
Distinct (%)58.1%
Missing529
Missing (%)9.2%
Memory size45.1 KiB
2023-12-11T08:03:28.001991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.4803978
Min length5

Characters and Unicode

Total characters28657
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1904 ?
Unique (%)36.4%

Sample

1st row10371
2nd row10375
3rd row10378
4th row412-713
5th row10218
ValueCountFrequency (%)
425-868 26
 
0.5%
415-803 18
 
0.3%
10102 17
 
0.3%
483-020 16
 
0.3%
10111 14
 
0.3%
10097 14
 
0.3%
425-831 12
 
0.2%
483-030 11
 
0.2%
10120 11
 
0.2%
16279 11
 
0.2%
Other values (3029) 5079
97.1%
2023-12-11T08:03:28.544178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 6559
22.9%
4 3493
12.2%
0 3126
10.9%
2 2370
 
8.3%
3 2307
 
8.1%
8 2266
 
7.9%
7 2105
 
7.3%
5 1931
 
6.7%
6 1817
 
6.3%
9 1427
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 27401
95.6%
Dash Punctuation 1256
 
4.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 6559
23.9%
4 3493
12.7%
0 3126
11.4%
2 2370
 
8.6%
3 2307
 
8.4%
8 2266
 
8.3%
7 2105
 
7.7%
5 1931
 
7.0%
6 1817
 
6.6%
9 1427
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 1256
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 28657
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 6559
22.9%
4 3493
12.2%
0 3126
10.9%
2 2370
 
8.3%
3 2307
 
8.1%
8 2266
 
7.9%
7 2105
 
7.3%
5 1931
 
6.7%
6 1817
 
6.3%
9 1427
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28657
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 6559
22.9%
4 3493
12.2%
0 3126
10.9%
2 2370
 
8.3%
3 2307
 
8.1%
8 2266
 
7.9%
7 2105
 
7.3%
5 1931
 
6.7%
6 1817
 
6.3%
9 1427
 
5.0%

사업장명
Text

Distinct5659
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size45.1 KiB
2023-12-11T08:03:28.846681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length21
Mean length16.713268
Min length2

Characters and Unicode

Total characters96235
Distinct characters642
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5586 ?
Unique (%)97.0%

Sample

1st row문촌마을 2단지 지하주차장 1층
2nd row문촌마을 3단지 지하주차장 1층
3rd row문촌마을 7단지 지하주차장 1층
4th row신원당마을 7단지 지하주차장 1층
5th row대화마을 7단지 지하주차장 1층
ValueCountFrequency (%)
지하주차장 2519
 
14.7%
1층 2128
 
12.4%
지하1층 538
 
3.1%
지하 441
 
2.6%
주차장 316
 
1.8%
아파트 213
 
1.2%
동의 208
 
1.2%
1~2층 191
 
1.1%
1층~2층 141
 
0.8%
지하주차장1층 121
 
0.7%
Other values (5701) 10374
60.3%
2023-12-11T08:03:29.253963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11454
 
11.9%
지 6344
 
6.6%
1 5285
 
5.5%
하 4903
 
5.1%
층 4206
 
4.4%
주 4033
 
4.2%
차 3966
 
4.1%
장 3632
 
3.8%
아 3058
 
3.2%
트 2936
 
3.1%
Other values (632) 46418
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 71367
74.2%
Space Separator 11454
 
11.9%
Decimal Number 9689
 
10.1%
Close Punctuation 848
 
0.9%
Open Punctuation 848
 
0.9%
Math Symbol 678
 
0.7%
Other Punctuation 636
 
0.7%
Uppercase Letter 486
 
0.5%
Dash Punctuation 161
 
0.2%
Lowercase Letter 67
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 6344
 
8.9%
하 4903
 
6.9%
층 4206
 
5.9%
주 4033
 
5.7%
차 3966
 
5.6%
장 3632
 
5.1%
아 3058
 
4.3%
트 2936
 
4.1%
파 2845
 
4.0%
동 2196
 
3.1%
Other values (568) 33248
46.6%
Uppercase Letter
ValueCountFrequency (%)
B 120
24.7%
K 54
11.1%
C 52
10.7%
S 32
 
6.6%
T 30
 
6.2%
L 29
 
6.0%
A 27
 
5.6%
H 22
 
4.5%
D 20
 
4.1%
M 19
 
3.9%
Other values (13) 81
16.7%
Lowercase Letter
ValueCountFrequency (%)
e 42
62.7%
i 3
 
4.5%
c 3
 
4.5%
s 3
 
4.5%
d 2
 
3.0%
h 2
 
3.0%
t 2
 
3.0%
k 2
 
3.0%
n 1
 
1.5%
o 1
 
1.5%
Other values (6) 6
 
9.0%
Decimal Number
ValueCountFrequency (%)
1 5285
54.5%
2 1688
 
17.4%
0 725
 
7.5%
3 685
 
7.1%
4 370
 
3.8%
5 280
 
2.9%
6 199
 
2.1%
7 172
 
1.8%
8 150
 
1.5%
9 135
 
1.4%
Other Punctuation
ValueCountFrequency (%)
, 581
91.4%
. 26
 
4.1%
@ 14
 
2.2%
/ 6
 
0.9%
· 5
 
0.8%
& 3
 
0.5%
: 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 847
99.9%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 847
99.9%
[ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
11454
100.0%
Math Symbol
ValueCountFrequency (%)
~ 678
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 161
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 71367
74.2%
Common 24314
 
25.3%
Latin 554
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 6344
 
8.9%
하 4903
 
6.9%
층 4206
 
5.9%
주 4033
 
5.7%
차 3966
 
5.6%
장 3632
 
5.1%
아 3058
 
4.3%
트 2936
 
4.1%
파 2845
 
4.0%
동 2196
 
3.1%
Other values (568) 33248
46.6%
Latin
ValueCountFrequency (%)
B 120
21.7%
K 54
9.7%
C 52
9.4%
e 42
 
7.6%
S 32
 
5.8%
T 30
 
5.4%
L 29
 
5.2%
A 27
 
4.9%
H 22
 
4.0%
D 20
 
3.6%
Other values (30) 126
22.7%
Common
ValueCountFrequency (%)
11454
47.1%
1 5285
21.7%
2 1688
 
6.9%
) 847
 
3.5%
( 847
 
3.5%
0 725
 
3.0%
3 685
 
2.8%
~ 678
 
2.8%
, 581
 
2.4%
4 370
 
1.5%
Other values (14) 1154
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 71367
74.2%
ASCII 24862
 
25.8%
None 5
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11454
46.1%
1 5285
21.3%
2 1688
 
6.8%
) 847
 
3.4%
( 847
 
3.4%
0 725
 
2.9%
3 685
 
2.8%
~ 678
 
2.7%
, 581
 
2.3%
4 370
 
1.5%
Other values (52) 1702
 
6.8%
Hangul
ValueCountFrequency (%)
지 6344
 
8.9%
하 4903
 
6.9%
층 4206
 
5.9%
주 4033
 
5.7%
차 3966
 
5.6%
장 3632
 
5.1%
아 3058
 
4.3%
트 2936
 
4.1%
파 2845
 
4.0%
동 2196
 
3.1%
Other values (568) 33248
46.6%
None
ValueCountFrequency (%)
· 5
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

최종수정시점
Date

Distinct5622
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size45.1 KiB
Minimum2013-01-21 15:23:27
Maximum2023-12-06 17:07:21
2023-12-11T08:03:29.402861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:03:29.559095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size45.1 KiB
U
4208 
I
1550 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 4208
73.1%
I 1550
 
26.9%

Length

2023-12-11T08:03:29.735696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:03:29.829590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 4208
73.1%
i 1550
 
26.9%

데이터갱신일자
Date

Distinct217
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size45.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-08 00:17:03
2023-12-11T08:03:29.928728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:03:30.053757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct4681
Distinct (%)91.1%
Missing622
Missing (%)10.8%
Infinite0
Infinite (%)0.0%
Mean197281.68
Minimum158282.44
Maximum266439.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.7 KiB
2023-12-11T08:03:30.177881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum158282.44
5-th percentile174613.25
Q1182341.62
median197099.73
Q3208484.27
95-th percentile226456.59
Maximum266439.85
Range108157.42
Interquartile range (IQR)26142.651

Descriptive statistics

Standard deviation17545.751
Coefficient of variation (CV)0.088937557
Kurtosis0.58061766
Mean197281.68
Median Absolute Deviation (MAD)13261.932
Skewness0.68034373
Sum1.0132387 × 109
Variance3.0785338 × 108
MonotonicityNot monotonic
2023-12-11T08:03:30.293159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201816.000340771 11
 
0.2%
199351.941024612 10
 
0.2%
185457.654190376 8
 
0.1%
196852.91093544 8
 
0.1%
194913.852143438 8
 
0.1%
195617.603527127 7
 
0.1%
198257.413061544 7
 
0.1%
198117.355921929 7
 
0.1%
170659.785301857 6
 
0.1%
198053.335457112 6
 
0.1%
Other values (4671) 5058
87.8%
(Missing) 622
 
10.8%
ValueCountFrequency (%)
158282.435675691 1
< 0.1%
158494.469062727 1
< 0.1%
159597.92469437 1
< 0.1%
159636.343317824 1
< 0.1%
159816.886823964 1
< 0.1%
159973.6598814 2
< 0.1%
160503.991436157 1
< 0.1%
161112.190638659 1
< 0.1%
161141.206039952 1
< 0.1%
161444.734434547 1
< 0.1%
ValueCountFrequency (%)
266439.854480066 2
< 0.1%
265001.009856258 1
< 0.1%
262739.343673043 1
< 0.1%
261661.571257177 1
< 0.1%
259546.138261075 1
< 0.1%
259407.400937871 1
< 0.1%
258658.935512871 1
< 0.1%
258508.647944269 1
< 0.1%
257799.400682607 1
< 0.1%
257610.302539287 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct4681
Distinct (%)91.1%
Missing622
Missing (%)10.8%
Infinite0
Infinite (%)0.0%
Mean440986.5
Minimum379601.4
Maximum523252.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.7 KiB
2023-12-11T08:03:30.667284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum379601.4
5-th percentile401785.73
Q1422519.02
median436957.66
Q3460849.44
95-th percentile484461.55
Maximum523252.71
Range143651.31
Interquartile range (IQR)38330.421

Descriptive statistics

Standard deviation25199.325
Coefficient of variation (CV)0.057143076
Kurtosis-0.36280705
Mean440986.5
Median Absolute Deviation (MAD)18527.109
Skewness0.23668999
Sum2.2649067 × 109
Variance6.3500599 × 108
MonotonicityNot monotonic
2023-12-11T08:03:30.783427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
421778.168451003 11
 
0.2%
422056.672734772 10
 
0.2%
460001.971602972 8
 
0.1%
430334.295150229 8
 
0.1%
432525.45562329 8
 
0.1%
432768.514750813 7
 
0.1%
432771.192280172 7
 
0.1%
427473.573027203 7
 
0.1%
460594.88081524 6
 
0.1%
427051.152011535 6
 
0.1%
Other values (4671) 5058
87.8%
(Missing) 622
 
10.8%
ValueCountFrequency (%)
379601.396110134 2
< 0.1%
382473.379867139 1
< 0.1%
383077.977866248 2
< 0.1%
383123.645603418 1
< 0.1%
384005.024817844 1
< 0.1%
384299.018179487 1
< 0.1%
384342.362575398 1
< 0.1%
384395.742238236 1
< 0.1%
384415.935911664 1
< 0.1%
384450.863607629 2
< 0.1%
ValueCountFrequency (%)
523252.705726178 1
< 0.1%
520484.161196781 1
< 0.1%
519993.81665996 1
< 0.1%
518208.897028862 1
< 0.1%
517361.313206154 1
< 0.1%
517239.185766787 1
< 0.1%
517165.289616942 1
< 0.1%
514760.907573926 1
< 0.1%
514418.286270042 1
< 0.1%
512778.961684639 1
< 0.1%

비상시설위치
Text

Distinct5328
Distinct (%)92.9%
Missing20
Missing (%)0.3%
Memory size45.1 KiB
2023-12-11T08:03:31.059193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length44
Mean length22.238062
Min length7

Characters and Unicode

Total characters127602
Distinct characters495
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5055 ?
Unique (%)88.1%

Sample

1st row경기도 고양시 일산서구 주엽동 5번지
2nd row경기도 고양시 일산서구 주엽동 32번지
3rd row경기도 고양시 일산서구 주엽동 14번지
4th row경기도 고양시 덕양구 성사동 727번지
5th row경기도 고양시 일산서구 대화동 2579번지
ValueCountFrequency (%)
경기도 5716
 
19.3%
고양시 574
 
1.9%
1호 569
 
1.9%
수원시 403
 
1.4%
김포시 386
 
1.3%
부천시 336
 
1.1%
성남시 327
 
1.1%
용인시 321
 
1.1%
2호 289
 
1.0%
안양시 286
 
1.0%
Other values (4508) 20356
68.9%
2023-12-11T08:03:31.517960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24388
19.1%
기 5939
 
4.7%
시 5931
 
4.6%
도 5862
 
4.6%
경 5751
 
4.5%
동 5616
 
4.4%
지 5408
 
4.2%
번 4763
 
3.7%
1 4258
 
3.3%
구 2508
 
2.0%
Other values (485) 57178
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 81347
63.8%
Space Separator 24388
 
19.1%
Decimal Number 21157
 
16.6%
Dash Punctuation 355
 
0.3%
Uppercase Letter 140
 
0.1%
Other Punctuation 81
 
0.1%
Open Punctuation 53
 
< 0.1%
Close Punctuation 53
 
< 0.1%
Lowercase Letter 25
 
< 0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 5939
 
7.3%
시 5931
 
7.3%
도 5862
 
7.2%
경 5751
 
7.1%
동 5616
 
6.9%
지 5408
 
6.6%
번 4763
 
5.9%
구 2508
 
3.1%
호 2286
 
2.8%
양 1808
 
2.2%
Other values (429) 35475
43.6%
Uppercase Letter
ValueCountFrequency (%)
I 15
10.7%
C 14
 
10.0%
K 12
 
8.6%
S 12
 
8.6%
E 11
 
7.9%
D 10
 
7.1%
M 9
 
6.4%
W 7
 
5.0%
A 7
 
5.0%
L 7
 
5.0%
Other values (15) 36
25.7%
Lowercase Letter
ValueCountFrequency (%)
e 12
48.0%
a 3
 
12.0%
s 2
 
8.0%
u 1
 
4.0%
d 1
 
4.0%
n 1
 
4.0%
c 1
 
4.0%
l 1
 
4.0%
r 1
 
4.0%
h 1
 
4.0%
Decimal Number
ValueCountFrequency (%)
1 4258
20.1%
2 2452
11.6%
3 2079
9.8%
5 2004
9.5%
4 1845
8.7%
7 1832
8.7%
6 1760
8.3%
8 1742
8.2%
0 1708
8.1%
9 1477
 
7.0%
Other Punctuation
ValueCountFrequency (%)
, 71
87.7%
. 9
 
11.1%
& 1
 
1.2%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅳ 1
50.0%
Space Separator
ValueCountFrequency (%)
24388
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 355
100.0%
Open Punctuation
ValueCountFrequency (%)
( 53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 53
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 81347
63.8%
Common 46088
36.1%
Latin 167
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 5939
 
7.3%
시 5931
 
7.3%
도 5862
 
7.2%
경 5751
 
7.1%
동 5616
 
6.9%
지 5408
 
6.6%
번 4763
 
5.9%
구 2508
 
3.1%
호 2286
 
2.8%
양 1808
 
2.2%
Other values (429) 35475
43.6%
Latin
ValueCountFrequency (%)
I 15
 
9.0%
C 14
 
8.4%
K 12
 
7.2%
S 12
 
7.2%
e 12
 
7.2%
E 11
 
6.6%
D 10
 
6.0%
M 9
 
5.4%
W 7
 
4.2%
A 7
 
4.2%
Other values (28) 58
34.7%
Common
ValueCountFrequency (%)
24388
52.9%
1 4258
 
9.2%
2 2452
 
5.3%
3 2079
 
4.5%
5 2004
 
4.3%
4 1845
 
4.0%
7 1832
 
4.0%
6 1760
 
3.8%
8 1742
 
3.8%
0 1708
 
3.7%
Other values (8) 2020
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 81347
63.8%
ASCII 46253
36.2%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24388
52.7%
1 4258
 
9.2%
2 2452
 
5.3%
3 2079
 
4.5%
5 2004
 
4.3%
4 1845
 
4.0%
7 1832
 
4.0%
6 1760
 
3.8%
8 1742
 
3.8%
0 1708
 
3.7%
Other values (44) 2185
 
4.7%
Hangul
ValueCountFrequency (%)
기 5939
 
7.3%
시 5931
 
7.3%
도 5862
 
7.2%
경 5751
 
7.1%
동 5616
 
6.9%
지 5408
 
6.6%
번 4763
 
5.9%
구 2508
 
3.1%
호 2286
 
2.8%
양 1808
 
2.2%
Other values (429) 35475
43.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅳ 1
50.0%

시설구분명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size45.1 KiB
공공용시설
3905 
공공시설
1763 
정부지원시설
 
90

Length

Max length6
Median length5
Mean length4.7094477
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공공용시설 3905
67.8%
공공시설 1763
30.6%
정부지원시설 90
 
1.6%

Length

2023-12-11T08:03:31.661314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:03:31.798210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공용시설 3905
67.8%
공공시설 1763
30.6%
정부지원시설 90
 
1.6%

시설명_건물명
Text

Distinct5659
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size45.1 KiB
2023-12-11T08:03:32.103780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length21
Mean length16.7124
Min length2

Characters and Unicode

Total characters96230
Distinct characters642
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5586 ?
Unique (%)97.0%

Sample

1st row문촌마을 2단지 지하주차장 1층
2nd row문촌마을 3단지 지하주차장 1층
3rd row문촌마을 7단지 지하주차장 1층
4th row신원당마을 7단지 지하주차장 1층
5th row대화마을 7단지 지하주차장 1층
ValueCountFrequency (%)
지하주차장 2519
 
14.7%
1층 2128
 
12.4%
지하1층 538
 
3.1%
지하 441
 
2.6%
주차장 316
 
1.8%
아파트 213
 
1.2%
동의 208
 
1.2%
1~2층 191
 
1.1%
1층~2층 141
 
0.8%
전체 121
 
0.7%
Other values (5702) 10375
60.4%
2023-12-11T08:03:32.612722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11455
 
11.9%
지 6344
 
6.6%
1 5285
 
5.5%
하 4903
 
5.1%
층 4206
 
4.4%
주 4033
 
4.2%
차 3966
 
4.1%
장 3632
 
3.8%
아 3058
 
3.2%
트 2936
 
3.1%
Other values (632) 46412
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 71361
74.2%
Space Separator 11455
 
11.9%
Decimal Number 9689
 
10.1%
Close Punctuation 848
 
0.9%
Open Punctuation 848
 
0.9%
Math Symbol 678
 
0.7%
Other Punctuation 636
 
0.7%
Uppercase Letter 486
 
0.5%
Dash Punctuation 161
 
0.2%
Lowercase Letter 67
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 6344
 
8.9%
하 4903
 
6.9%
층 4206
 
5.9%
주 4033
 
5.7%
차 3966
 
5.6%
장 3632
 
5.1%
아 3058
 
4.3%
트 2936
 
4.1%
파 2845
 
4.0%
동 2196
 
3.1%
Other values (568) 33242
46.6%
Uppercase Letter
ValueCountFrequency (%)
B 120
24.7%
K 54
11.1%
C 52
10.7%
S 32
 
6.6%
T 30
 
6.2%
L 29
 
6.0%
A 27
 
5.6%
H 22
 
4.5%
D 20
 
4.1%
M 19
 
3.9%
Other values (13) 81
16.7%
Lowercase Letter
ValueCountFrequency (%)
e 42
62.7%
i 3
 
4.5%
c 3
 
4.5%
s 3
 
4.5%
d 2
 
3.0%
h 2
 
3.0%
t 2
 
3.0%
k 2
 
3.0%
n 1
 
1.5%
o 1
 
1.5%
Other values (6) 6
 
9.0%
Decimal Number
ValueCountFrequency (%)
1 5285
54.5%
2 1688
 
17.4%
0 725
 
7.5%
3 685
 
7.1%
4 370
 
3.8%
5 280
 
2.9%
6 199
 
2.1%
7 172
 
1.8%
8 150
 
1.5%
9 135
 
1.4%
Other Punctuation
ValueCountFrequency (%)
, 581
91.4%
. 26
 
4.1%
@ 14
 
2.2%
/ 6
 
0.9%
· 5
 
0.8%
& 3
 
0.5%
: 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 847
99.9%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 847
99.9%
[ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
11455
100.0%
Math Symbol
ValueCountFrequency (%)
~ 678
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 161
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 71361
74.2%
Common 24315
 
25.3%
Latin 554
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 6344
 
8.9%
하 4903
 
6.9%
층 4206
 
5.9%
주 4033
 
5.7%
차 3966
 
5.6%
장 3632
 
5.1%
아 3058
 
4.3%
트 2936
 
4.1%
파 2845
 
4.0%
동 2196
 
3.1%
Other values (568) 33242
46.6%
Latin
ValueCountFrequency (%)
B 120
21.7%
K 54
9.7%
C 52
9.4%
e 42
 
7.6%
S 32
 
5.8%
T 30
 
5.4%
L 29
 
5.2%
A 27
 
4.9%
H 22
 
4.0%
D 20
 
3.6%
Other values (30) 126
22.7%
Common
ValueCountFrequency (%)
11455
47.1%
1 5285
21.7%
2 1688
 
6.9%
) 847
 
3.5%
( 847
 
3.5%
0 725
 
3.0%
3 685
 
2.8%
~ 678
 
2.8%
, 581
 
2.4%
4 370
 
1.5%
Other values (14) 1154
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 71361
74.2%
ASCII 24863
 
25.8%
None 5
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11455
46.1%
1 5285
21.3%
2 1688
 
6.8%
) 847
 
3.4%
( 847
 
3.4%
0 725
 
2.9%
3 685
 
2.8%
~ 678
 
2.7%
, 581
 
2.3%
4 370
 
1.5%
Other values (52) 1702
 
6.8%
Hangul
ValueCountFrequency (%)
지 6344
 
8.9%
하 4903
 
6.9%
층 4206
 
5.9%
주 4033
 
5.7%
차 3966
 
5.6%
장 3632
 
5.1%
아 3058
 
4.3%
트 2936
 
4.1%
파 2845
 
4.0%
동 2196
 
3.1%
Other values (568) 33242
46.6%
None
ValueCountFrequency (%)
· 5
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

해제일자
Date

MISSING 

Distinct384
Distinct (%)21.0%
Missing3927
Missing (%)68.2%
Memory size45.1 KiB
Minimum1995-01-01 00:00:00
Maximum2023-11-24 00:00:00
2023-12-11T08:03:32.773867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:03:32.922276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Sample

관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태구분상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지면적(N/㎡)소재지우편번호도로명전체주소소재지전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
04100100-S1994000381994-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA>12401.0<NA>경기도 고양시 일산서구 대산로 164-0 (주엽동, 문촌마을2단지아파트)경기도 고양시 일산서구 주엽동 5번지10371문촌마을 2단지 지하주차장 1층2023-06-15 10:38:06U2023-06-17 02:40:00178789.574323463860.488341경기도 고양시 일산서구 주엽동 5번지공공용시설문촌마을 2단지 지하주차장 1층<NA>
14100100-S1994000391994-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA>20611.0<NA>경기도 고양시 일산서구 대산로 142-0 (주엽동, 문촌마을3단지아파트)경기도 고양시 일산서구 주엽동 32번지10375문촌마을 3단지 지하주차장 1층2023-06-15 10:38:15U2023-06-17 02:40:00179029.735918463749.605854경기도 고양시 일산서구 주엽동 32번지공공용시설문촌마을 3단지 지하주차장 1층<NA>
24100100-S1994000431994-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA>5919.0<NA>경기도 고양시 일산서구 킨텍스로 340-0 (주엽동, 문촌마을7단지아파트)경기도 고양시 일산서구 주엽동 14번지10378문촌마을 7단지 지하주차장 1층2023-06-15 10:37:24U2023-06-17 02:40:00178430.303055463611.868784경기도 고양시 일산서구 주엽동 14번지공공용시설문촌마을 7단지 지하주차장 1층<NA>
33950000-S2003000182003-03-12<NA>1영업/정상18사용중<NA><NA><NA><NA>5757.0<NA>경기도 고양시 덕양구 호국로 754 (성사동)경기도 고양시 덕양구 성사동 727번지412-713신원당마을 7단지 지하주차장 1층2023-07-05 18:52:34U2023-07-07 02:40:00185312.147789461286.177241경기도 고양시 덕양구 성사동 727번지공공용시설신원당마을 7단지 지하주차장 1층<NA>
44100100-S2010000142010-07-07<NA>1영업/정상18사용중<NA><NA><NA><NA>11809.0<NA>경기도 고양시 일산서구 대화1로 70 (대화동, 대화마을7단지아파트)경기도 고양시 일산서구 대화동 2579번지10218대화마을 7단지 지하주차장 1층2023-06-15 15:40:21U2023-06-17 02:40:00176435.291861463186.88939경기도 고양시 일산서구 대화동 2579번지공공용시설대화마을 7단지 지하주차장 1층<NA>
54100100-S2010000152010-07-07<NA>1영업/정상18사용중<NA><NA><NA><NA>11805.0<NA>경기도 고양시 일산서구 송포로 10 (대화동, 대화마을9단지)경기도 고양시 일산서구 대화동 2582번지10222대화마을 9단지 지하주차장 1층2023-06-15 15:40:39U2023-06-17 02:40:00176501.056787462954.830305경기도 고양시 일산서구 대화동 2582번지공공용시설대화마을 9단지 지하주차장 1층<NA>
64100100-S1994000441994-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA>12919.0<NA>경기도 고양시 일산서구 주엽로 161-0 (주엽동, 문촌마을8단지아파트)경기도 고양시 일산서구 주엽동 12번지10378문촌마을 8단지 지하주차장 1층2023-06-15 10:37:44U2023-06-17 02:40:00178602.745344463495.416532경기도 고양시 일산서구 주엽동 12번지공공용시설문촌마을 8단지 지하주차장 1층<NA>
74100100-S1994000481994-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA>7671.0<NA>경기도 고양시 일산서구 중앙로 1493-0 (주엽동, 문촌마을12단지아파트)경기도 고양시 일산서구 주엽동 138번지10379문촌마을 12단지 지하주차장 1층2023-06-15 10:39:24U2023-06-17 02:40:00178291.458784463361.291692경기도 고양시 일산서구 주엽동 138번지공공용시설문촌마을 12단지 지하주차장 1층<NA>
84100100-S1994000491994-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA>12239.0<NA>경기도 고양시 일산서구 중앙로 1471-0 (주엽동, 문촌마을13단지아파트)경기도 고양시 일산서구 주엽동 136번지10379문촌마을 13단지 지하주차장 1층2023-06-15 10:39:33U2023-06-17 02:40:00178471.251936463262.087711경기도 고양시 일산서구 주엽동 136번지공공용시설문촌마을 13단지 지하주차장 1층<NA>
93810000-S1992000071997-09-22<NA>1영업/정상18사용중<NA><NA><NA><NA>581.0<NA>경기도 성남시 분당구 양현로166번길 20 (이매촌동신9단지아파트)경기도 성남시 분당구 이매동 110번지13567이매촌 동신아파트 906동 지하1층 주차장2023-06-17 16:42:31U2023-06-19 02:40:00211196.122709432898.07311경기도 성남시 분당구 이매동 110번지공공용시설이매촌 동신아파트 906동 지하1층 주차장<NA>
관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태구분상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지면적(N/㎡)소재지우편번호도로명전체주소소재지전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
57483860000-S1985000111985-03-012017-07-214취소/말소/만료/정지/중지19사용중지2017-07-21<NA><NA><NA><NA><NA>경기도 부천시 지봉로143번길 39 (역곡동)경기도 부천시 역곡동 204번지420-833예원아파트 D동2019-06-30 15:59:12U2019-07-02 02:40:00183436.152271443205.621088경기도 부천시 역곡동 204번지공공시설예원아파트 D동2017-07-21
57493860000-S2001000022001-09-032016-12-054취소/말소/만료/정지/중지19사용중지2016-12-05<NA><NA><NA><NA><NA>경기도 부천시 조종로36번길 26 (원미동)경기도 부천시 원미동 126번지 4호420-840원미2동주민센터2019-06-30 15:57:55U2019-07-02 02:40:00181206.490026443323.111601경기도 부천시 원미동 126번지 4호공공시설원미2동주민센터2016-12-05
57503860000-S2003000912003-01-022018-06-084취소/말소/만료/정지/중지19사용중지2018-06-08<NA><NA><NA><NA><NA>경기도 부천시 옥산로 155-7 (도당동, 신한아파트)경기도 부천시 도당동 250번지 3호14532신한아파트(지하주차장)2019-06-30 15:59:50U2019-07-02 02:40:00180453.369332445003.685826경기도 부천시 도당동 250번지 3호공공시설신한아파트(지하주차장)2018-06-08
57513860000-S1983000061983-02-142015-03-174취소/말소/만료/정지/중지19사용중지2015-03-17<NA><NA><NA><NA><NA>경기도 부천시 삼작로410번길 59 (원종동)경기도 부천시 원종동352421-822진호유치원2016-07-02 11:31:58I2018-08-31 23:59:59182903.571903446113.973673경기도 부천시 원종동352공공시설진호유치원2015-03-17
57523860000-S1984000011984-10-012017-07-214취소/말소/만료/정지/중지19사용중지2017-07-21<NA><NA><NA><NA><NA>경기도 부천시 심곡로67번길 62 (심곡본동)경기도 부천시 심곡본동 620번지 4호422-822금강아파트2019-06-30 16:14:53U2019-07-02 02:40:00180302.524803441657.267045경기도 부천시 심곡본동 620번지 4호공공시설금강아파트2017-07-21
57535550000-S2004000032004-09-012016-12-054취소/말소/만료/정지/중지19사용중지2016-12-05<NA><NA><NA><NA><NA>경기도 안산시 상록구 장하로 315 (수암동)경기도 안산시 상록구 수암동 506번지426-400안산동주민자치센터 지하실2016-12-06 09:13:56I2018-08-31 23:59:59188703.013658428872.495429경기도 안산시 상록구 수암동 506번지공공시설안산동주민자치센터 지하실2016-12-05
57543860000-S2003000962003-01-022016-11-074취소/말소/만료/정지/중지19사용중지2016-11-07<NA><NA><NA><NA><NA>경기도 부천시 부천로 354 (도당동)경기도 부천시 도당동 73번지 8호<NA>양정길2019-06-30 15:59:50U2019-07-02 02:40:00<NA><NA>경기도 부천시 도당동 73번지 8호공공시설양정길2016-11-07
57553860000-S2003000952003-01-022016-09-024취소/말소/만료/정지/중지19사용중지2016-09-02<NA><NA><NA><NA><NA>경기도 부천시 수도로 228 (도당동)경기도 부천시 도당동 61번지<NA>김정남2019-06-30 15:59:50U2019-07-02 02:40:00<NA><NA>경기도 부천시 도당동 61번지공공시설김정남2016-09-02
57563860000-S2012000012012-03-282017-05-044취소/말소/만료/정지/중지19사용중지2017-05-04<NA><NA><NA><NA><NA>경기도 부천시 심중로75번길 64 (중동, 부천중학교)경기도 부천시 중동 777번지14613부천중학교2017-05-04 09:42:23I2018-08-31 23:59:59179550.946168443238.90728경기도 부천시 중동 777번지공공시설부천중학교2017-05-04
57573860000-S1989000201989-01-012016-12-024취소/말소/만료/정지/중지19사용중지2016-12-02<NA><NA><NA><NA><NA>경기도 부천시 장말로 309 (심곡동, 심곡초등학교)경기도 부천시 심곡동 300번지14612심곡초등학교2019-06-30 15:57:09U2019-07-02 02:40:00180155.053022443307.001308경기도 부천시 심곡동 300번지공공시설심곡초등학교2016-12-02