Overview

Dataset statistics

Number of variables37
Number of observations291
Missing cells1854
Missing cells (%)17.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory91.9 KiB
Average record size in memory323.5 B

Variable types

Categorical5
Text6
DateTime2
Unsupported2
Numeric22

Dataset

Description경기도 산후조리업체 현황
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=625AM5A7E618AM73HCLG1568643&infSeq=1

Alerts

인허가취소일자 is highly imbalanced (95.0%)Imbalance
폐업일자 has 149 (51.2%) missing valuesMissing
소재지시설전화번호 has 60 (20.6%) missing valuesMissing
소재지면적정보 has 291 (100.0%) missing valuesMissing
도로명우편번호 has 78 (26.8%) missing valuesMissing
WGS84위도 has 3 (1.0%) missing valuesMissing
WGS84경도 has 3 (1.0%) missing valuesMissing
업태구분명정보 has 291 (100.0%) missing valuesMissing
X좌표값 has 15 (5.2%) missing valuesMissing
Y좌표값 has 15 (5.2%) missing valuesMissing
임산부실면적(㎡) has 23 (7.9%) missing valuesMissing
영유아실면적(㎡) has 19 (6.5%) missing valuesMissing
모유수유실면적(㎡) has 50 (17.2%) missing valuesMissing
급식시설면적(㎡) has 54 (18.6%) missing valuesMissing
세탁실면적(㎡) has 60 (20.6%) missing valuesMissing
목욕실면적 has 95 (32.6%) missing valuesMissing
조리원화장실면적(㎡) has 70 (24.1%) missing valuesMissing
사무실면적(㎡) has 62 (21.3%) missing valuesMissing
간호사수(명) has 21 (7.2%) missing valuesMissing
간호조무사수(명) has 25 (8.6%) missing valuesMissing
취사부수(명) has 57 (19.6%) missing valuesMissing
미화원수(명) has 52 (17.9%) missing valuesMissing
기타인원수 has 119 (40.9%) missing valuesMissing
건물층수 has 34 (11.7%) missing valuesMissing
지상층수 has 69 (23.7%) missing valuesMissing
지하층수 has 137 (47.1%) missing valuesMissing
소재지면적정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
임산부실면적(㎡) has 6 (2.1%) zerosZeros
영유아실면적(㎡) has 4 (1.4%) zerosZeros
모유수유실면적(㎡) has 27 (9.3%) zerosZeros
급식시설면적(㎡) has 23 (7.9%) zerosZeros
세탁실면적(㎡) has 21 (7.2%) zerosZeros
목욕실면적 has 57 (19.6%) zerosZeros
조리원화장실면적(㎡) has 29 (10.0%) zerosZeros
사무실면적(㎡) has 20 (6.9%) zerosZeros
간호사수(명) has 3 (1.0%) zerosZeros
간호조무사수(명) has 5 (1.7%) zerosZeros
취사부수(명) has 26 (8.9%) zerosZeros
미화원수(명) has 29 (10.0%) zerosZeros
기타인원수 has 58 (19.9%) zerosZeros
건물층수 has 54 (18.6%) zerosZeros
지상층수 has 19 (6.5%) zerosZeros
지하층수 has 70 (24.1%) zerosZeros

Reproduction

Analysis started2023-12-10 21:10:35.505660
Analysis finished2023-12-10 21:10:36.191051
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct27
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
성남시
35 
수원시
33 
용인시
28 
고양시
24 
광명시
18 
Other values (22)
153 

Length

Max length4
Median length3
Mean length3.0756014
Min length3

Unique

Unique3 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
성남시 35
12.0%
수원시 33
 
11.3%
용인시 28
 
9.6%
고양시 24
 
8.2%
광명시 18
 
6.2%
부천시 15
 
5.2%
화성시 15
 
5.2%
안양시 13
 
4.5%
김포시 13
 
4.5%
의정부시 12
 
4.1%
Other values (17) 85
29.2%

Length

2023-12-11T06:10:36.239043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
성남시 35
12.0%
수원시 33
 
11.3%
용인시 28
 
9.6%
고양시 24
 
8.2%
광명시 18
 
6.2%
부천시 15
 
5.2%
화성시 15
 
5.2%
안양시 13
 
4.5%
김포시 13
 
4.5%
의정부시 12
 
4.1%
Other values (17) 85
29.2%
Distinct275
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-11T06:10:36.425718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length9.8694158
Min length3

Characters and Unicode

Total characters2872
Distinct characters256
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique261 ?
Unique (%)89.7%

Sample

1st row킹덤 산후조리원
2nd row마티네 차움 산후조리원
3rd row퀸스파크산후조리원
4th row(주)세인트누보산후조리원
5th row사랑애산후조리원
ValueCountFrequency (%)
산후조리원 81
 
19.0%
주식회사 7
 
1.6%
사임당산후조리원 4
 
0.9%
부설 3
 
0.7%
로얄 3
 
0.7%
3
 
0.7%
김포점 2
 
0.5%
광명점 2
 
0.5%
소하점 2
 
0.5%
주)이자르산후조리원 2
 
0.5%
Other values (298) 317
74.4%
2023-12-11T06:10:36.741025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
318
 
11.1%
307
 
10.7%
298
 
10.4%
291
 
10.1%
288
 
10.0%
135
 
4.7%
45
 
1.6%
) 38
 
1.3%
( 36
 
1.3%
35
 
1.2%
Other values (246) 1081
37.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2644
92.1%
Space Separator 135
 
4.7%
Close Punctuation 38
 
1.3%
Open Punctuation 36
 
1.3%
Uppercase Letter 14
 
0.5%
Decimal Number 3
 
0.1%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
318
 
12.0%
307
 
11.6%
298
 
11.3%
291
 
11.0%
288
 
10.9%
45
 
1.7%
35
 
1.3%
32
 
1.2%
30
 
1.1%
28
 
1.1%
Other values (233) 972
36.8%
Uppercase Letter
ValueCountFrequency (%)
B 4
28.6%
M 4
28.6%
J 2
14.3%
C 2
14.3%
Y 1
 
7.1%
G 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
1 1
33.3%
Lowercase Letter
ValueCountFrequency (%)
g 1
50.0%
m 1
50.0%
Space Separator
ValueCountFrequency (%)
135
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2644
92.1%
Common 212
 
7.4%
Latin 16
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
318
 
12.0%
307
 
11.6%
298
 
11.3%
291
 
11.0%
288
 
10.9%
45
 
1.7%
35
 
1.3%
32
 
1.2%
30
 
1.1%
28
 
1.1%
Other values (233) 972
36.8%
Latin
ValueCountFrequency (%)
B 4
25.0%
M 4
25.0%
J 2
12.5%
C 2
12.5%
Y 1
 
6.2%
g 1
 
6.2%
m 1
 
6.2%
G 1
 
6.2%
Common
ValueCountFrequency (%)
135
63.7%
) 38
 
17.9%
( 36
 
17.0%
2 2
 
0.9%
1 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2644
92.1%
ASCII 228
 
7.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
318
 
12.0%
307
 
11.6%
298
 
11.3%
291
 
11.0%
288
 
10.9%
45
 
1.7%
35
 
1.3%
32
 
1.2%
30
 
1.1%
28
 
1.1%
Other values (233) 972
36.8%
ASCII
ValueCountFrequency (%)
135
59.2%
) 38
 
16.7%
( 36
 
15.8%
B 4
 
1.8%
M 4
 
1.8%
2 2
 
0.9%
J 2
 
0.9%
C 2
 
0.9%
1 1
 
0.4%
Y 1
 
0.4%
Other values (3) 3
 
1.3%
Distinct246
Distinct (%)84.5%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum1998-12-05 00:00:00
Maximum2023-08-16 00:00:00
2023-12-11T06:10:37.046121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:10:37.151937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
288 
20170620
 
1
20120702
 
1
20170707
 
1

Length

Max length8
Median length4
Mean length4.0412371
Min length4

Unique

Unique3 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 288
99.0%
20170620 1
 
0.3%
20120702 1
 
0.3%
20170707 1
 
0.3%

Length

2023-12-11T06:10:37.263716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:10:37.345505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 288
99.0%
20170620 1
 
0.3%
20120702 1
 
0.3%
20170707 1
 
0.3%
Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
13
145 
3
139 
2
 
5
24
 
2

Length

Max length2
Median length2
Mean length1.5051546
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13
2nd row13
3rd row13
4th row13
5th row13

Common Values

ValueCountFrequency (%)
13 145
49.8%
3 139
47.8%
2 5
 
1.7%
24 2
 
0.7%

Length

2023-12-11T06:10:37.431252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:10:37.530125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 145
49.8%
3 139
47.8%
2 5
 
1.7%
24 2
 
0.7%

영업상태명
Categorical

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
영업중
145 
폐업
139 
휴업
 
5
직권폐업
 
2

Length

Max length4
Median length3
Mean length2.5120275
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 145
49.8%
폐업 139
47.8%
휴업 5
 
1.7%
직권폐업 2
 
0.7%

Length

2023-12-11T06:10:37.638542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:10:37.722065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 145
49.8%
폐업 139
47.8%
휴업 5
 
1.7%
직권폐업 2
 
0.7%

폐업일자
Date

MISSING 

Distinct138
Distinct (%)97.2%
Missing149
Missing (%)51.2%
Memory size2.4 KiB
Minimum2008-06-30 00:00:00
Maximum2023-11-21 00:00:00
2023-12-11T06:10:37.824435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:10:37.948357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct221
Distinct (%)95.7%
Missing60
Missing (%)20.6%
Memory size2.4 KiB
2023-12-11T06:10:38.162106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length11.155844
Min length4

Characters and Unicode

Total characters2577
Distinct characters15
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique211 ?
Unique (%)91.3%

Sample

1st row031-908-6020
2nd row031-782-8998
3rd row031-970-3335
4th row911-0704
5th row819-1000
ValueCountFrequency (%)
031-901-4000 2
 
0.9%
031-677-8821 2
 
0.9%
979-5220 2
 
0.9%
031-378-5949 2
 
0.9%
031-618-9792 2
 
0.9%
02-6218-1010 2
 
0.9%
031-998-4191 2
 
0.9%
031-204-9700 2
 
0.9%
031-316-8800 2
 
0.9%
031-717-8686 2
 
0.9%
Other values (211) 211
91.3%
2023-12-11T06:10:38.479889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 439
17.0%
- 390
15.1%
3 338
13.1%
1 331
12.8%
8 195
7.6%
2 193
7.5%
5 161
 
6.2%
7 160
 
6.2%
9 151
 
5.9%
6 134
 
5.2%
Other values (5) 85
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2177
84.5%
Dash Punctuation 390
 
15.1%
Close Punctuation 7
 
0.3%
Other Letter 2
 
0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 439
20.2%
3 338
15.5%
1 331
15.2%
8 195
9.0%
2 193
8.9%
5 161
 
7.4%
7 160
 
7.3%
9 151
 
6.9%
6 134
 
6.2%
4 75
 
3.4%
Other Letter
ValueCountFrequency (%)
1
50.0%
1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 390
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2575
99.9%
Hangul 2
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 439
17.0%
- 390
15.1%
3 338
13.1%
1 331
12.9%
8 195
7.6%
2 193
7.5%
5 161
 
6.3%
7 160
 
6.2%
9 151
 
5.9%
6 134
 
5.2%
Other values (3) 83
 
3.2%
Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2575
99.9%
Hangul 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 439
17.0%
- 390
15.1%
3 338
13.1%
1 331
12.9%
8 195
7.6%
2 193
7.5%
5 161
 
6.3%
7 160
 
6.2%
9 151
 
5.9%
6 134
 
5.2%
Other values (3) 83
 
3.2%
Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing291
Missing (%)100.0%
Memory size2.7 KiB

도로명우편번호
Text

MISSING 

Distinct177
Distinct (%)83.1%
Missing78
Missing (%)26.8%
Memory size2.4 KiB
2023-12-11T06:10:38.776268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1361502
Min length5

Characters and Unicode

Total characters1094
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

Unique150 ?
Unique (%)70.4%

Sample

1st row10447
2nd row10414
3rd row10324
4th row10526
5th row10387
ValueCountFrequency (%)
14316 4
 
1.9%
15818 4
 
1.9%
10359 3
 
1.4%
13590 3
 
1.4%
14072 3
 
1.4%
12919 3
 
1.4%
16897 3
 
1.4%
14534 2
 
0.9%
11813 2
 
0.9%
17110 2
 
0.9%
Other values (167) 184
86.4%
2023-12-11T06:10:39.178079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 285
26.1%
4 143
13.1%
0 106
 
9.7%
3 93
 
8.5%
5 88
 
8.0%
8 83
 
7.6%
6 79
 
7.2%
2 75
 
6.9%
7 71
 
6.5%
9 70
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1093
99.9%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 285
26.1%
4 143
13.1%
0 106
 
9.7%
3 93
 
8.5%
5 88
 
8.1%
8 83
 
7.6%
6 79
 
7.2%
2 75
 
6.9%
7 71
 
6.5%
9 70
 
6.4%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1094
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 285
26.1%
4 143
13.1%
0 106
 
9.7%
3 93
 
8.5%
5 88
 
8.0%
8 83
 
7.6%
6 79
 
7.2%
2 75
 
6.9%
7 71
 
6.5%
9 70
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1094
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 285
26.1%
4 143
13.1%
0 106
 
9.7%
3 93
 
8.5%
5 88
 
8.0%
8 83
 
7.6%
6 79
 
7.2%
2 75
 
6.9%
7 71
 
6.5%
9 70
 
6.4%
Distinct281
Distinct (%)97.2%
Missing2
Missing (%)0.7%
Memory size2.4 KiB
2023-12-11T06:10:39.444819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length41
Mean length30.813149
Min length16

Characters and Unicode

Total characters8905
Distinct characters316
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique274 ?
Unique (%)94.8%

Sample

1st row경기도 고양시 일산동구 중앙로 1072, 301,302호 (백석동)
2nd row경기도 고양시 일산동구 중앙로 1205, 차병원(11~13층) (장항동)
3rd row경기도 고양시 일산동구 위시티로 18 (식사동)
4th row경기도 고양시 덕양구 충장로 2, 8층 (행신동)
5th row경기도 고양시 일산서구 중앙로 1443, 가람상가 5층 (주엽동)
ValueCountFrequency (%)
경기도 289
 
15.6%
성남시 35
 
1.9%
수원시 32
 
1.7%
용인시 28
 
1.5%
분당구 26
 
1.4%
고양시 24
 
1.3%
4층 18
 
1.0%
광명시 18
 
1.0%
기흥구 15
 
0.8%
부천시 15
 
0.8%
Other values (761) 1347
72.9%
2023-12-11T06:10:39.854739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1569
 
17.6%
327
 
3.7%
310
 
3.5%
309
 
3.5%
307
 
3.4%
292
 
3.3%
292
 
3.3%
) 279
 
3.1%
( 279
 
3.1%
1 262
 
2.9%
Other values (306) 4679
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5110
57.4%
Space Separator 1569
 
17.6%
Decimal Number 1354
 
15.2%
Close Punctuation 279
 
3.1%
Open Punctuation 279
 
3.1%
Other Punctuation 235
 
2.6%
Dash Punctuation 51
 
0.6%
Math Symbol 18
 
0.2%
Uppercase Letter 9
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
327
 
6.4%
310
 
6.1%
309
 
6.0%
307
 
6.0%
292
 
5.7%
292
 
5.7%
168
 
3.3%
140
 
2.7%
89
 
1.7%
80
 
1.6%
Other values (279) 2796
54.7%
Decimal Number
ValueCountFrequency (%)
1 262
19.4%
2 161
11.9%
5 143
10.6%
3 134
9.9%
4 128
9.5%
0 128
9.5%
6 122
9.0%
9 93
 
6.9%
7 92
 
6.8%
8 91
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
Y 1
11.1%
A 1
11.1%
R 1
11.1%
E 1
11.1%
W 1
11.1%
O 1
11.1%
T 1
11.1%
C 1
11.1%
B 1
11.1%
Other Punctuation
ValueCountFrequency (%)
, 234
99.6%
. 1
 
0.4%
Space Separator
ValueCountFrequency (%)
1569
100.0%
Close Punctuation
ValueCountFrequency (%)
) 279
100.0%
Open Punctuation
ValueCountFrequency (%)
( 279
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%
Math Symbol
ValueCountFrequency (%)
~ 18
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5110
57.4%
Common 3785
42.5%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
327
 
6.4%
310
 
6.1%
309
 
6.0%
307
 
6.0%
292
 
5.7%
292
 
5.7%
168
 
3.3%
140
 
2.7%
89
 
1.7%
80
 
1.6%
Other values (279) 2796
54.7%
Common
ValueCountFrequency (%)
1569
41.5%
) 279
 
7.4%
( 279
 
7.4%
1 262
 
6.9%
, 234
 
6.2%
2 161
 
4.3%
5 143
 
3.8%
3 134
 
3.5%
4 128
 
3.4%
0 128
 
3.4%
Other values (7) 468
 
12.4%
Latin
ValueCountFrequency (%)
1
10.0%
Y 1
10.0%
A 1
10.0%
R 1
10.0%
E 1
10.0%
W 1
10.0%
O 1
10.0%
T 1
10.0%
C 1
10.0%
B 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5109
57.4%
ASCII 3794
42.6%
Number Forms 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1569
41.4%
) 279
 
7.4%
( 279
 
7.4%
1 262
 
6.9%
, 234
 
6.2%
2 161
 
4.2%
5 143
 
3.8%
3 134
 
3.5%
4 128
 
3.4%
0 128
 
3.4%
Other values (16) 477
 
12.6%
Hangul
ValueCountFrequency (%)
327
 
6.4%
310
 
6.1%
309
 
6.0%
307
 
6.0%
292
 
5.7%
292
 
5.7%
168
 
3.3%
140
 
2.7%
89
 
1.7%
80
 
1.6%
Other values (278) 2795
54.7%
Number Forms
ValueCountFrequency (%)
1
100.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Distinct285
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-11T06:10:40.078407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length37
Mean length26.982818
Min length11

Characters and Unicode

Total characters7852
Distinct characters274
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique280 ?
Unique (%)96.2%

Sample

1st row경기도 고양시 일산동구 백석동 1294번지 1호
2nd row경기도 고양시 일산동구 장항동 889번지
3rd row경기도 고양시 일산동구 식사동 1588번지 동국타워 2층
4th row경기도 고양시 덕양구 행신2동 762번지 4호
5th row경기도 고양시 일산서구 주엽동 110번지 2호 가람상가
ValueCountFrequency (%)
경기도 291
 
16.5%
1호 38
 
2.2%
성남시 34
 
1.9%
수원시 31
 
1.8%
2호 29
 
1.6%
용인시 28
 
1.6%
분당구 25
 
1.4%
3호 23
 
1.3%
고양시 21
 
1.2%
광명시 18
 
1.0%
Other values (683) 1221
69.4%
2023-12-11T06:10:40.435134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1475
 
18.8%
318
 
4.0%
308
 
3.9%
1 306
 
3.9%
306
 
3.9%
294
 
3.7%
293
 
3.7%
276
 
3.5%
262
 
3.3%
207
 
2.6%
Other values (264) 3807
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4658
59.3%
Decimal Number 1551
 
19.8%
Space Separator 1475
 
18.8%
Dash Punctuation 79
 
1.0%
Other Punctuation 53
 
0.7%
Math Symbol 16
 
0.2%
Uppercase Letter 9
 
0.1%
Close Punctuation 5
 
0.1%
Open Punctuation 5
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
318
 
6.8%
308
 
6.6%
306
 
6.6%
294
 
6.3%
293
 
6.3%
276
 
5.9%
262
 
5.6%
207
 
4.4%
160
 
3.4%
114
 
2.4%
Other values (238) 2120
45.5%
Decimal Number
ValueCountFrequency (%)
1 306
19.7%
2 189
12.2%
4 169
10.9%
3 149
9.6%
5 146
9.4%
0 137
8.8%
9 121
 
7.8%
6 114
 
7.4%
7 111
 
7.2%
8 109
 
7.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
22.2%
A 1
11.1%
R 1
11.1%
E 1
11.1%
W 1
11.1%
O 1
11.1%
T 1
11.1%
U 1
11.1%
Other Punctuation
ValueCountFrequency (%)
, 46
86.8%
. 7
 
13.2%
Space Separator
ValueCountFrequency (%)
1475
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 79
100.0%
Math Symbol
ValueCountFrequency (%)
~ 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4658
59.3%
Common 3184
40.6%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
318
 
6.8%
308
 
6.6%
306
 
6.6%
294
 
6.3%
293
 
6.3%
276
 
5.9%
262
 
5.6%
207
 
4.4%
160
 
3.4%
114
 
2.4%
Other values (238) 2120
45.5%
Common
ValueCountFrequency (%)
1475
46.3%
1 306
 
9.6%
2 189
 
5.9%
4 169
 
5.3%
3 149
 
4.7%
5 146
 
4.6%
0 137
 
4.3%
9 121
 
3.8%
6 114
 
3.6%
7 111
 
3.5%
Other values (7) 267
 
8.4%
Latin
ValueCountFrequency (%)
B 2
20.0%
1
10.0%
A 1
10.0%
R 1
10.0%
E 1
10.0%
W 1
10.0%
O 1
10.0%
T 1
10.0%
U 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4657
59.3%
ASCII 3193
40.7%
Number Forms 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1475
46.2%
1 306
 
9.6%
2 189
 
5.9%
4 169
 
5.3%
3 149
 
4.7%
5 146
 
4.6%
0 137
 
4.3%
9 121
 
3.8%
6 114
 
3.6%
7 111
 
3.5%
Other values (15) 276
 
8.6%
Hangul
ValueCountFrequency (%)
318
 
6.8%
308
 
6.6%
306
 
6.6%
294
 
6.3%
293
 
6.3%
276
 
5.9%
262
 
5.6%
207
 
4.4%
160
 
3.4%
114
 
2.4%
Other values (237) 2119
45.5%
Number Forms
ValueCountFrequency (%)
1
100.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Distinct240
Distinct (%)82.5%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-11T06:10:40.714843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.6769759
Min length5

Characters and Unicode

Total characters1652
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique199 ?
Unique (%)68.4%

Sample

1st row10447
2nd row10414
3rd row410-821
4th row412222
5th row10387
ValueCountFrequency (%)
423051 4
 
1.4%
472120 3
 
1.0%
13590 3
 
1.0%
471030 3
 
1.0%
16897 3
 
1.0%
420020 3
 
1.0%
10359 3
 
1.0%
14072 3
 
1.0%
12919 3
 
1.0%
435045 2
 
0.7%
Other values (229) 261
89.7%
2023-12-11T06:10:41.109628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 320
19.4%
1 265
16.0%
0 225
13.6%
2 155
9.4%
8 153
9.3%
3 132
8.0%
6 106
 
6.4%
5 105
 
6.4%
7 89
 
5.4%
9 78
 
4.7%
Other values (2) 24
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1628
98.5%
Dash Punctuation 21
 
1.3%
Space Separator 3
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 320
19.7%
1 265
16.3%
0 225
13.8%
2 155
9.5%
8 153
9.4%
3 132
8.1%
6 106
 
6.5%
5 105
 
6.4%
7 89
 
5.5%
9 78
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1652
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 320
19.4%
1 265
16.0%
0 225
13.6%
2 155
9.4%
8 153
9.3%
3 132
8.0%
6 106
 
6.4%
5 105
 
6.4%
7 89
 
5.4%
9 78
 
4.7%
Other values (2) 24
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1652
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 320
19.4%
1 265
16.0%
0 225
13.6%
2 155
9.4%
8 153
9.3%
3 132
8.0%
6 106
 
6.4%
5 105
 
6.4%
7 89
 
5.4%
9 78
 
4.7%
Other values (2) 24
 
1.5%

WGS84위도
Real number (ℝ)

MISSING 

Distinct274
Distinct (%)95.1%
Missing3
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean37.422322
Minimum36.984354
Maximum37.896822
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-11T06:10:41.228906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.984354
5-th percentile37.088926
Q137.281605
median37.392465
Q337.598358
95-th percentile37.740937
Maximum37.896822
Range0.9124679
Interquartile range (IQR)0.31675356

Descriptive statistics

Standard deviation0.19416774
Coefficient of variation (CV)0.0051885539
Kurtosis-0.44616233
Mean37.422322
Median Absolute Deviation (MAD)0.11755618
Skewness0.003484961
Sum10777.629
Variance0.037701109
MonotonicityNot monotonic
2023-12-11T06:10:41.339958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.2850933846 3
 
1.0%
37.2736148282 3
 
1.0%
37.3202016562 2
 
0.7%
37.4797613 2
 
0.7%
37.8226746 2
 
0.7%
37.5967441 2
 
0.7%
37.320095 2
 
0.7%
37.5550787688 2
 
0.7%
37.4113887 2
 
0.7%
37.6806344 2
 
0.7%
Other values (264) 266
91.4%
(Missing) 3
 
1.0%
ValueCountFrequency (%)
36.9843538 1
0.3%
36.989085519 1
0.3%
36.9900804842 1
0.3%
36.9922491 1
0.3%
36.9931626 1
0.3%
36.9931929607 1
0.3%
36.9998252 1
0.3%
37.0003851 1
0.3%
37.0023816729 1
0.3%
37.006497 1
0.3%
ValueCountFrequency (%)
37.8968217026 1
0.3%
37.8273509102 1
0.3%
37.8226746 2
0.7%
37.7961162 1
0.3%
37.7572724013 1
0.3%
37.7556735 1
0.3%
37.7514263 1
0.3%
37.751290214 1
0.3%
37.7512643 1
0.3%
37.7491664948 1
0.3%

WGS84경도
Real number (ℝ)

MISSING 

Distinct274
Distinct (%)95.1%
Missing3
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean126.99253
Minimum126.62506
Maximum127.63951
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-11T06:10:41.448990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.62506
5-th percentile126.73877
Q1126.83639
median127.04494
Q3127.11184
95-th percentile127.21142
Maximum127.63951
Range1.0144533
Interquartile range (IQR)0.27545588

Descriptive statistics

Standard deviation0.16682874
Coefficient of variation (CV)0.0013136894
Kurtosis-0.040582164
Mean126.99253
Median Absolute Deviation (MAD)0.098284864
Skewness0.072392586
Sum36573.849
Variance0.027831828
MonotonicityNot monotonic
2023-12-11T06:10:41.556662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.990710446 3
 
1.0%
127.052192925 3
 
1.0%
127.1089807048 2
 
0.7%
126.8538156 2
 
0.7%
127.0484268 2
 
0.7%
126.7277682 2
 
0.7%
127.108942 2
 
0.7%
127.1868844889 2
 
0.7%
127.2596728 2
 
0.7%
127.1957553 2
 
0.7%
Other values (264) 266
91.4%
(Missing) 3
 
1.0%
ValueCountFrequency (%)
126.6250567 1
0.3%
126.6275292303 1
0.3%
126.6777793425 1
0.3%
126.6848004 1
0.3%
126.7038003 1
0.3%
126.7107157 1
0.3%
126.7126897 1
0.3%
126.7249687 1
0.3%
126.7277682 2
0.7%
126.7277791373 1
0.3%
ValueCountFrequency (%)
127.6395099707 1
0.3%
127.493363 1
0.3%
127.4482261048 1
0.3%
127.4471811031 1
0.3%
127.2689556 1
0.3%
127.2676220392 1
0.3%
127.2596728 2
0.7%
127.2594913 1
0.3%
127.2580995 1
0.3%
127.2441040616 1
0.3%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing291
Missing (%)100.0%
Memory size2.7 KiB

X좌표값
Real number (ℝ)

MISSING 

Distinct250
Distinct (%)90.6%
Missing15
Missing (%)5.2%
Infinite0
Infinite (%)0.0%
Mean198944.13
Minimum166843.75
Maximum256648.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-11T06:10:41.694348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum166843.75
5-th percentile176787.83
Q1185462.19
median203786.69
Q3209630.33
95-th percentile218402.1
Maximum256648.24
Range89804.49
Interquartile range (IQR)24168.137

Descriptive statistics

Standard deviation14720.407
Coefficient of variation (CV)0.073992668
Kurtosis0.067028277
Mean198944.13
Median Absolute Deviation (MAD)8751.3178
Skewness0.12141332
Sum54908580
Variance2.1669038 × 108
MonotonicityNot monotonic
2023-12-11T06:10:41.806435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204555.595269811 3
 
1.0%
199105.785907311 3
 
1.0%
175894.187116584 3
 
1.0%
210940.510836164 2
 
0.7%
187004.301525212 2
 
0.7%
203531.630008681 2
 
0.7%
206123.335731067 2
 
0.7%
206062.17075307 2
 
0.7%
209590.716153724 2
 
0.7%
179487.725476277 2
 
0.7%
Other values (240) 253
86.9%
(Missing) 15
 
5.2%
ValueCountFrequency (%)
166843.748478149 1
 
0.3%
167059.0 1
 
0.3%
171495.685899963 1
 
0.3%
172114.0 1
 
0.3%
173787.013138172 1
 
0.3%
174398.061380288 1
 
0.3%
174570.253595588 1
 
0.3%
175566.862699337 1
 
0.3%
175894.187116584 3
1.0%
176399.920060954 1
 
0.3%
ValueCountFrequency (%)
256648.238593303 1
0.3%
243568.504392724 1
0.3%
239677.181056561 1
0.3%
239595.137553592 1
0.3%
223872.485134975 1
0.3%
223748.700998765 1
0.3%
222921.0 1
0.3%
222899.830598232 1
0.3%
222833.811906433 1
0.3%
221470.398259335 1
0.3%

Y좌표값
Real number (ℝ)

MISSING 

Distinct250
Distinct (%)90.6%
Missing15
Missing (%)5.2%
Infinite0
Infinite (%)0.0%
Mean435585.13
Minimum386983.24
Maximum488246.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-11T06:10:41.911074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum386983.24
5-th percentile401746.02
Q1419614.39
median432163.55
Q3455369.5
95-th percentile471220.15
Maximum488246.3
Range101263.06
Interquartile range (IQR)35755.114

Descriptive statistics

Standard deviation21681.54
Coefficient of variation (CV)0.049775665
Kurtosis-0.50488613
Mean435585.13
Median Absolute Deviation (MAD)13027.311
Skewness0.041470804
Sum1.202215 × 108
Variance4.7008916 × 108
MonotonicityNot monotonic
2023-12-11T06:10:42.027160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
419069.10981659 3
 
1.0%
420349.014309799 3
 
1.0%
454982.015969866 3
 
1.0%
423783.966497016 2
 
0.7%
441973.859831207 2
 
0.7%
470581.659806462 2
 
0.7%
471855.32295741 2
 
0.7%
472098.300456439 2
 
0.7%
424244.825196697 2
 
0.7%
455662.922346169 2
 
0.7%
Other values (240) 253
86.9%
(Missing) 15
 
5.2%
ValueCountFrequency (%)
386983.239251096 1
0.3%
387599.393784408 1
0.3%
387860.713472804 1
0.3%
387959.451954913 2
0.7%
388703.112182184 1
0.3%
388773.25337567 1
0.3%
388985.163650813 1
0.3%
389469.803680926 1
0.3%
389599.791806437 1
0.3%
389641.576158318 1
0.3%
ValueCountFrequency (%)
488246.297193032 1
0.3%
480541.371992697 1
0.3%
480021.458853364 2
0.7%
477076.771684696 1
0.3%
472781.271424737 1
0.3%
472611.087431908 1
0.3%
472116.57310828 1
0.3%
472098.300456439 2
0.7%
471855.32295741 2
0.7%
471589.840500715 1
0.3%

임산부정원수
Real number (ℝ)

Distinct38
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.457045
Minimum4
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-11T06:10:42.145131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile7
Q113
median17
Q320
95-th percentile29
Maximum60
Range56
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7.9607254
Coefficient of variation (CV)0.45601793
Kurtosis6.6054585
Mean17.457045
Median Absolute Deviation (MAD)4
Skewness1.8474137
Sum5080
Variance63.373148
MonotonicityNot monotonic
2023-12-11T06:10:42.256164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
20 27
 
9.3%
19 23
 
7.9%
14 20
 
6.9%
16 19
 
6.5%
18 18
 
6.2%
15 18
 
6.2%
17 15
 
5.2%
21 14
 
4.8%
13 12
 
4.1%
11 12
 
4.1%
Other values (28) 113
38.8%
ValueCountFrequency (%)
4 2
 
0.7%
5 7
2.4%
6 2
 
0.7%
7 9
3.1%
8 6
2.1%
9 9
3.1%
10 12
4.1%
11 12
4.1%
12 12
4.1%
13 12
4.1%
ValueCountFrequency (%)
60 1
0.3%
55 1
0.3%
54 1
0.3%
51 1
0.3%
44 2
0.7%
42 1
0.3%
39 1
0.3%
36 1
0.3%
35 1
0.3%
34 1
0.3%

영유아정원(명)
Real number (ℝ)

Distinct41
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.714777
Minimum0
Maximum77
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-11T06:10:42.354847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q112.5
median17
Q321
95-th percentile30
Maximum77
Range77
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation8.557982
Coefficient of variation (CV)0.4830985
Kurtosis10.397225
Mean17.714777
Median Absolute Deviation (MAD)4
Skewness2.2064108
Sum5155
Variance73.239057
MonotonicityNot monotonic
2023-12-11T06:10:42.462254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
20 31
 
10.7%
19 23
 
7.9%
14 19
 
6.5%
21 18
 
6.2%
15 18
 
6.2%
16 17
 
5.8%
18 15
 
5.2%
12 13
 
4.5%
17 13
 
4.5%
11 12
 
4.1%
Other values (31) 112
38.5%
ValueCountFrequency (%)
0 1
 
0.3%
4 2
 
0.7%
5 7
2.4%
6 2
 
0.7%
7 11
3.8%
8 5
 
1.7%
9 9
3.1%
10 11
3.8%
11 12
4.1%
12 13
4.5%
ValueCountFrequency (%)
77 1
0.3%
55 1
0.3%
54 1
0.3%
51 1
0.3%
47 1
0.3%
44 1
0.3%
42 1
0.3%
40 1
0.3%
39 1
0.3%
35 1
0.3%

임산부실면적(㎡)
Real number (ℝ)

MISSING  ZEROS 

Distinct253
Distinct (%)94.4%
Missing23
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean310.45168
Minimum0
Maximum2057.29
Zeros6
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-11T06:10:42.568988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11.9415
Q1120
median276.38
Q3412.45
95-th percentile732.475
Maximum2057.29
Range2057.29
Interquartile range (IQR)292.45

Descriptive statistics

Standard deviation268.49711
Coefficient of variation (CV)0.86485958
Kurtosis9.2647476
Mean310.45168
Median Absolute Deviation (MAD)148.375
Skewness2.2321114
Sum83201.05
Variance72090.697
MonotonicityNot monotonic
2023-12-11T06:10:42.670014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6
 
2.1%
15.0 2
 
0.7%
392.0 2
 
0.7%
350.0 2
 
0.7%
543.0 2
 
0.7%
120.0 2
 
0.7%
275.1 2
 
0.7%
18.0 2
 
0.7%
78.0 2
 
0.7%
128.95 2
 
0.7%
Other values (243) 244
83.8%
(Missing) 23
 
7.9%
ValueCountFrequency (%)
0.0 6
2.1%
1.0 1
 
0.3%
6.5 1
 
0.3%
7.0 1
 
0.3%
7.5 1
 
0.3%
8.37 1
 
0.3%
9.86 1
 
0.3%
11.34 1
 
0.3%
11.91 1
 
0.3%
12.0 1
 
0.3%
ValueCountFrequency (%)
2057.29 1
0.3%
1574.8 1
0.3%
1462.0 1
0.3%
1266.73 1
0.3%
1172.5 1
0.3%
1060.74 1
0.3%
937.7 1
0.3%
936.0 1
0.3%
869.32 1
0.3%
867.52 1
0.3%

영유아실면적(㎡)
Real number (ℝ)

MISSING  ZEROS 

Distinct235
Distinct (%)86.4%
Missing19
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean42.933162
Minimum0
Maximum250.08
Zeros4
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-11T06:10:43.015595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15.2275
Q126.935
median37.86
Q353.165
95-th percentile85.2005
Maximum250.08
Range250.08
Interquartile range (IQR)26.23

Descriptive statistics

Standard deviation26.188858
Coefficient of variation (CV)0.60999137
Kurtosis14.570204
Mean42.933162
Median Absolute Deviation (MAD)12.78
Skewness2.5707982
Sum11677.82
Variance685.8563
MonotonicityNot monotonic
2023-12-11T06:10:43.122782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4
 
1.4%
25.0 4
 
1.4%
49.5 4
 
1.4%
40.5 3
 
1.0%
50.2 3
 
1.0%
41.5 3
 
1.0%
70.0 2
 
0.7%
30.0 2
 
0.7%
66.2 2
 
0.7%
19.0 2
 
0.7%
Other values (225) 243
83.5%
(Missing) 19
 
6.5%
ValueCountFrequency (%)
0.0 4
1.4%
2.0 1
 
0.3%
9.9 1
 
0.3%
11.2 1
 
0.3%
12.0 1
 
0.3%
12.5 2
0.7%
12.87 1
 
0.3%
14.0 1
 
0.3%
15.2 2
0.7%
15.25 1
 
0.3%
ValueCountFrequency (%)
250.08 1
0.3%
132.3 1
0.3%
127.0 1
0.3%
118.9 1
0.3%
116.08 1
0.3%
111.5 1
0.3%
106.14 1
0.3%
105.23 1
0.3%
104.92 1
0.3%
102.0 1
0.3%

모유수유실면적(㎡)
Real number (ℝ)

MISSING  ZEROS 

Distinct170
Distinct (%)70.5%
Missing50
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean13.285394
Minimum0
Maximum78.5
Zeros27
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-11T06:10:43.249257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.56
median10.57
Q316
95-th percentile34.77
Maximum78.5
Range78.5
Interquartile range (IQR)9.44

Descriptive statistics

Standard deviation12.488118
Coefficient of variation (CV)0.93998848
Kurtosis9.3223421
Mean13.285394
Median Absolute Deviation (MAD)4.48
Skewness2.5889866
Sum3201.78
Variance155.95308
MonotonicityNot monotonic
2023-12-11T06:10:43.357511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 27
 
9.3%
12.0 6
 
2.1%
7.0 4
 
1.4%
11.0 4
 
1.4%
10.0 4
 
1.4%
18.0 4
 
1.4%
9.3 3
 
1.0%
8.7 3
 
1.0%
20.0 3
 
1.0%
5.0 3
 
1.0%
Other values (160) 180
61.9%
(Missing) 50
 
17.2%
ValueCountFrequency (%)
0.0 27
9.3%
3.31 1
 
0.3%
3.47 1
 
0.3%
3.6 1
 
0.3%
3.7 1
 
0.3%
3.9 2
 
0.7%
4.0 2
 
0.7%
4.16 1
 
0.3%
4.3 1
 
0.3%
4.38 1
 
0.3%
ValueCountFrequency (%)
78.5 1
0.3%
78.0 1
0.3%
77.04 1
0.3%
61.59 1
0.3%
57.0 1
0.3%
53.96 1
0.3%
45.92 1
0.3%
43.36 1
0.3%
42.4 1
0.3%
42.0 1
0.3%

급식시설면적(㎡)
Real number (ℝ)

MISSING  ZEROS 

Distinct186
Distinct (%)78.5%
Missing54
Missing (%)18.6%
Infinite0
Infinite (%)0.0%
Mean39.009578
Minimum0
Maximum299.4
Zeros23
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-11T06:10:43.466249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q118
median30.7
Q349.7
95-th percentile105.512
Maximum299.4
Range299.4
Interquartile range (IQR)31.7

Descriptive statistics

Standard deviation36.34009
Coefficient of variation (CV)0.93156839
Kurtosis13.990571
Mean39.009578
Median Absolute Deviation (MAD)15.3
Skewness2.8516822
Sum9245.27
Variance1320.6021
MonotonicityNot monotonic
2023-12-11T06:10:43.568608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 23
 
7.9%
15.0 4
 
1.4%
18.0 3
 
1.0%
10.0 3
 
1.0%
66.0 3
 
1.0%
23.5 3
 
1.0%
42.3 2
 
0.7%
40.0 2
 
0.7%
14.69 2
 
0.7%
12.0 2
 
0.7%
Other values (176) 190
65.3%
(Missing) 54
 
18.6%
ValueCountFrequency (%)
0.0 23
7.9%
2.05 1
 
0.3%
5.04 1
 
0.3%
5.79 1
 
0.3%
6.75 1
 
0.3%
8.0 1
 
0.3%
8.4 1
 
0.3%
9.14 1
 
0.3%
9.34 1
 
0.3%
10.0 3
 
1.0%
ValueCountFrequency (%)
299.4 1
0.3%
224.12 1
0.3%
173.0 1
0.3%
167.55 1
0.3%
132.0 1
0.3%
123.67 1
0.3%
120.0 1
0.3%
115.0 1
0.3%
109.35 1
0.3%
108.67 1
0.3%

세탁실면적(㎡)
Real number (ℝ)

MISSING  ZEROS 

Distinct176
Distinct (%)76.2%
Missing60
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean12.445584
Minimum0
Maximum61.7
Zeros21
Zeros (%)7.2%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-11T06:10:43.674270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.885
median10
Q316.4
95-th percentile31.41
Maximum61.7
Range61.7
Interquartile range (IQR)10.515

Descriptive statistics

Standard deviation10.22709
Coefficient of variation (CV)0.82174449
Kurtosis4.4270299
Mean12.445584
Median Absolute Deviation (MAD)5.14
Skewness1.7217285
Sum2874.93
Variance104.59338
MonotonicityNot monotonic
2023-12-11T06:10:43.778257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 21
 
7.2%
7.0 4
 
1.4%
9.0 4
 
1.4%
20.0 4
 
1.4%
5.7 3
 
1.0%
12.0 3
 
1.0%
6.0 3
 
1.0%
8.0 3
 
1.0%
4.0 3
 
1.0%
10.0 3
 
1.0%
Other values (166) 180
61.9%
(Missing) 60
 
20.6%
ValueCountFrequency (%)
0.0 21
7.2%
1.8 1
 
0.3%
2.0 1
 
0.3%
2.37 1
 
0.3%
2.57 1
 
0.3%
3.0 2
 
0.7%
3.24 1
 
0.3%
3.29 1
 
0.3%
3.36 1
 
0.3%
3.5 1
 
0.3%
ValueCountFrequency (%)
61.7 1
0.3%
60.0 1
0.3%
47.0 1
0.3%
44.73 1
0.3%
43.26 1
0.3%
42.0 1
0.3%
38.76 1
0.3%
33.84 1
0.3%
33.2 1
0.3%
33.0 1
0.3%

목욕실면적
Real number (ℝ)

MISSING  ZEROS 

Distinct121
Distinct (%)61.7%
Missing95
Missing (%)32.6%
Infinite0
Infinite (%)0.0%
Mean15.590714
Minimum0
Maximum121
Zeros57
Zeros (%)19.6%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-11T06:10:43.885674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5.895
Q323.64
95-th percentile66
Maximum121
Range121
Interquartile range (IQR)23.64

Descriptive statistics

Standard deviation23.845369
Coefficient of variation (CV)1.5294597
Kurtosis6.3124008
Mean15.590714
Median Absolute Deviation (MAD)5.895
Skewness2.4210277
Sum3055.78
Variance568.60164
MonotonicityNot monotonic
2023-12-11T06:10:44.004471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 57
19.6%
3.0 4
 
1.4%
2.4 3
 
1.0%
66.0 3
 
1.0%
5.5 2
 
0.7%
26.2 2
 
0.7%
14.0 2
 
0.7%
45.0 2
 
0.7%
1.65 2
 
0.7%
3.1 2
 
0.7%
Other values (111) 117
40.2%
(Missing) 95
32.6%
ValueCountFrequency (%)
0.0 57
19.6%
1.65 2
 
0.7%
1.71 1
 
0.3%
1.8 1
 
0.3%
2.0 1
 
0.3%
2.25 1
 
0.3%
2.33 1
 
0.3%
2.4 3
 
1.0%
2.43 1
 
0.3%
2.5 1
 
0.3%
ValueCountFrequency (%)
121.0 1
 
0.3%
120.0 1
 
0.3%
112.0 1
 
0.3%
108.0 1
 
0.3%
97.0 1
 
0.3%
93.6 1
 
0.3%
84.0 1
 
0.3%
77.76 1
 
0.3%
77.65 1
 
0.3%
66.0 3
1.0%

조리원화장실면적(㎡)
Real number (ℝ)

MISSING  ZEROS 

Distinct169
Distinct (%)76.5%
Missing70
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean28.977783
Minimum0
Maximum373.27
Zeros29
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-11T06:10:44.136219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.3
median12.17
Q344.65
95-th percentile93.84
Maximum373.27
Range373.27
Interquartile range (IQR)41.35

Descriptive statistics

Standard deviation40.331618
Coefficient of variation (CV)1.3918117
Kurtosis24.216495
Mean28.977783
Median Absolute Deviation (MAD)12.17
Skewness3.6711253
Sum6404.09
Variance1626.6394
MonotonicityNot monotonic
2023-12-11T06:10:44.243640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 29
 
10.0%
3.0 3
 
1.0%
7.0 3
 
1.0%
4.8 3
 
1.0%
30.0 3
 
1.0%
2.25 2
 
0.7%
21.12 2
 
0.7%
16.7 2
 
0.7%
64.0 2
 
0.7%
4.2 2
 
0.7%
Other values (159) 170
58.4%
(Missing) 70
24.1%
ValueCountFrequency (%)
0.0 29
10.0%
1.35 1
 
0.3%
1.41 1
 
0.3%
1.61 1
 
0.3%
1.65 1
 
0.3%
1.78 1
 
0.3%
1.82 1
 
0.3%
2.1 1
 
0.3%
2.2 1
 
0.3%
2.25 2
 
0.7%
ValueCountFrequency (%)
373.27 1
0.3%
160.9 1
0.3%
158.6 1
0.3%
151.1 1
0.3%
138.84 1
0.3%
120.8 1
0.3%
115.6 1
0.3%
112.0 1
0.3%
99.85 1
0.3%
98.57 1
0.3%

사무실면적(㎡)
Real number (ℝ)

MISSING  ZEROS 

Distinct162
Distinct (%)70.7%
Missing62
Missing (%)21.3%
Infinite0
Infinite (%)0.0%
Mean13.962052
Minimum0
Maximum110.58
Zeros20
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-11T06:10:44.352256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17.2
median10.8
Q317.45
95-th percentile33.38
Maximum110.58
Range110.58
Interquartile range (IQR)10.25

Descriptive statistics

Standard deviation12.756092
Coefficient of variation (CV)0.91362585
Kurtosis16.927158
Mean13.962052
Median Absolute Deviation (MAD)4.53
Skewness3.1923151
Sum3197.31
Variance162.71788
MonotonicityNot monotonic
2023-12-11T06:10:44.457163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 20
 
6.9%
6.0 6
 
2.1%
12.0 4
 
1.4%
13.0 4
 
1.4%
7.0 4
 
1.4%
8.9 4
 
1.4%
14.0 3
 
1.0%
17.0 3
 
1.0%
9.7 3
 
1.0%
8.0 3
 
1.0%
Other values (152) 175
60.1%
(Missing) 62
 
21.3%
ValueCountFrequency (%)
0.0 20
6.9%
2.0 1
 
0.3%
4.0 1
 
0.3%
4.01 1
 
0.3%
4.21 1
 
0.3%
4.4 1
 
0.3%
4.8 1
 
0.3%
4.84 1
 
0.3%
4.95 1
 
0.3%
4.98 1
 
0.3%
ValueCountFrequency (%)
110.58 1
0.3%
74.0 1
0.3%
62.44 1
0.3%
53.93 1
0.3%
51.3 1
0.3%
51.22 1
0.3%
46.59 1
0.3%
44.73 1
0.3%
41.0 1
0.3%
39.1 1
0.3%

간호사수(명)
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)4.8%
Missing21
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean3.2666667
Minimum0
Maximum18
Zeros3
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-11T06:10:44.547510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum18
Range18
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.8279125
Coefficient of variation (CV)0.55956504
Kurtosis18.065611
Mean3.2666667
Median Absolute Deviation (MAD)1
Skewness3.1910562
Sum882
Variance3.3412639
MonotonicityNot monotonic
2023-12-11T06:10:44.631819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3 112
38.5%
2 64
22.0%
4 47
16.2%
5 14
 
4.8%
1 13
 
4.5%
8 5
 
1.7%
6 4
 
1.4%
9 3
 
1.0%
0 3
 
1.0%
10 2
 
0.7%
Other values (3) 3
 
1.0%
(Missing) 21
 
7.2%
ValueCountFrequency (%)
0 3
 
1.0%
1 13
 
4.5%
2 64
22.0%
3 112
38.5%
4 47
16.2%
5 14
 
4.8%
6 4
 
1.4%
7 1
 
0.3%
8 5
 
1.7%
9 3
 
1.0%
ValueCountFrequency (%)
18 1
 
0.3%
11 1
 
0.3%
10 2
 
0.7%
9 3
 
1.0%
8 5
 
1.7%
7 1
 
0.3%
6 4
 
1.4%
5 14
 
4.8%
4 47
16.2%
3 112
38.5%

간호조무사수(명)
Real number (ℝ)

MISSING  ZEROS 

Distinct22
Distinct (%)8.3%
Missing25
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean6.0977444
Minimum0
Maximum41
Zeros5
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-11T06:10:44.725263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q38
95-th percentile12.75
Maximum41
Range41
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.4124432
Coefficient of variation (CV)0.72361893
Kurtosis16.455029
Mean6.0977444
Median Absolute Deviation (MAD)2
Skewness2.8480564
Sum1622
Variance19.469655
MonotonicityNot monotonic
2023-12-11T06:10:44.810286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
3 45
15.5%
6 37
12.7%
5 33
11.3%
8 22
7.6%
2 21
7.2%
4 20
6.9%
7 16
 
5.5%
10 14
 
4.8%
9 13
 
4.5%
1 12
 
4.1%
Other values (12) 33
11.3%
(Missing) 25
8.6%
ValueCountFrequency (%)
0 5
 
1.7%
1 12
 
4.1%
2 21
7.2%
3 45
15.5%
4 20
6.9%
5 33
11.3%
6 37
12.7%
7 16
 
5.5%
8 22
7.6%
9 13
 
4.5%
ValueCountFrequency (%)
41 1
 
0.3%
28 1
 
0.3%
21 1
 
0.3%
20 1
 
0.3%
17 2
 
0.7%
16 1
 
0.3%
15 3
1.0%
14 3
1.0%
13 1
 
0.3%
12 7
2.4%
Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
149 
0
104 
1
36 
2
 
2

Length

Max length4
Median length4
Mean length2.5360825
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 149
51.2%
0 104
35.7%
1 36
 
12.4%
2 2
 
0.7%

Length

2023-12-11T06:10:44.915740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:10:44.995403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 149
51.2%
0 104
35.7%
1 36
 
12.4%
2 2
 
0.7%

취사부수(명)
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)3.4%
Missing57
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean1.6623932
Minimum0
Maximum9
Zeros26
Zeros (%)8.9%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-11T06:10:45.067969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2085693
Coefficient of variation (CV)0.72700569
Kurtosis6.608558
Mean1.6623932
Median Absolute Deviation (MAD)1
Skewness1.7771066
Sum389
Variance1.4606397
MonotonicityNot monotonic
2023-12-11T06:10:45.144104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 92
31.6%
2 78
26.8%
0 26
 
8.9%
3 25
 
8.6%
5 5
 
1.7%
4 5
 
1.7%
6 2
 
0.7%
9 1
 
0.3%
(Missing) 57
19.6%
ValueCountFrequency (%)
0 26
 
8.9%
1 92
31.6%
2 78
26.8%
3 25
 
8.6%
4 5
 
1.7%
5 5
 
1.7%
6 2
 
0.7%
9 1
 
0.3%
ValueCountFrequency (%)
9 1
 
0.3%
6 2
 
0.7%
5 5
 
1.7%
4 5
 
1.7%
3 25
 
8.6%
2 78
26.8%
1 92
31.6%
0 26
 
8.9%

미화원수(명)
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)2.9%
Missing52
Missing (%)17.9%
Infinite0
Infinite (%)0.0%
Mean1.2677824
Minimum0
Maximum8
Zeros29
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-11T06:10:45.225305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile3
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.95455988
Coefficient of variation (CV)0.75293667
Kurtosis15.226936
Mean1.2677824
Median Absolute Deviation (MAD)0
Skewness2.8020662
Sum303
Variance0.91118456
MonotonicityNot monotonic
2023-12-11T06:10:45.310588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 144
49.5%
2 52
 
17.9%
0 29
 
10.0%
3 8
 
2.7%
4 4
 
1.4%
7 1
 
0.3%
8 1
 
0.3%
(Missing) 52
 
17.9%
ValueCountFrequency (%)
0 29
 
10.0%
1 144
49.5%
2 52
 
17.9%
3 8
 
2.7%
4 4
 
1.4%
7 1
 
0.3%
8 1
 
0.3%
ValueCountFrequency (%)
8 1
 
0.3%
7 1
 
0.3%
4 4
 
1.4%
3 8
 
2.7%
2 52
 
17.9%
1 144
49.5%
0 29
 
10.0%

기타인원수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)5.8%
Missing119
Missing (%)40.9%
Infinite0
Infinite (%)0.0%
Mean1.4534884
Minimum0
Maximum38
Zeros58
Zeros (%)19.9%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-11T06:10:45.399815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4.45
Maximum38
Range38
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.2341633
Coefficient of variation (CV)2.2251044
Kurtosis96.584847
Mean1.4534884
Median Absolute Deviation (MAD)1
Skewness8.8547495
Sum250
Variance10.459812
MonotonicityNot monotonic
2023-12-11T06:10:45.504086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 70
24.1%
0 58
19.9%
2 20
 
6.9%
3 11
 
3.8%
5 5
 
1.7%
4 4
 
1.4%
38 1
 
0.3%
11 1
 
0.3%
10 1
 
0.3%
7 1
 
0.3%
(Missing) 119
40.9%
ValueCountFrequency (%)
0 58
19.9%
1 70
24.1%
2 20
 
6.9%
3 11
 
3.8%
4 4
 
1.4%
5 5
 
1.7%
7 1
 
0.3%
10 1
 
0.3%
11 1
 
0.3%
38 1
 
0.3%
ValueCountFrequency (%)
38 1
 
0.3%
11 1
 
0.3%
10 1
 
0.3%
7 1
 
0.3%
5 5
 
1.7%
4 4
 
1.4%
3 11
 
3.8%
2 20
 
6.9%
1 70
24.1%
0 58
19.9%

건물층수
Real number (ℝ)

MISSING  ZEROS 

Distinct21
Distinct (%)8.2%
Missing34
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean5.4319066
Minimum0
Maximum67
Zeros54
Zeros (%)18.6%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-11T06:10:45.607347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q37
95-th percentile11
Maximum67
Range67
Interquartile range (IQR)5

Descriptive statistics

Standard deviation6.5773815
Coefficient of variation (CV)1.210879
Kurtosis44.086422
Mean5.4319066
Median Absolute Deviation (MAD)3
Skewness5.4712379
Sum1396
Variance43.261947
MonotonicityNot monotonic
2023-12-11T06:10:45.696924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 54
18.6%
6 28
9.6%
4 25
8.6%
5 24
8.2%
2 22
7.6%
7 20
 
6.9%
9 17
 
5.8%
3 16
 
5.5%
8 14
 
4.8%
10 12
 
4.1%
Other values (11) 25
8.6%
(Missing) 34
11.7%
ValueCountFrequency (%)
0 54
18.6%
1 4
 
1.4%
2 22
7.6%
3 16
 
5.5%
4 25
8.6%
5 24
8.2%
6 28
9.6%
7 20
 
6.9%
8 14
 
4.8%
9 17
 
5.8%
ValueCountFrequency (%)
67 1
 
0.3%
56 1
 
0.3%
37 1
 
0.3%
19 1
 
0.3%
17 1
 
0.3%
16 1
 
0.3%
15 1
 
0.3%
13 2
 
0.7%
12 2
 
0.7%
11 10
3.4%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)7.7%
Missing69
Missing (%)23.7%
Infinite0
Infinite (%)0.0%
Mean5.6261261
Minimum0
Maximum67
Zeros19
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-11T06:10:45.784005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median5
Q36
95-th percentile9.95
Maximum67
Range67
Interquartile range (IQR)3

Descriptive statistics

Standard deviation8.0073407
Coefficient of variation (CV)1.4232423
Kurtosis39.8252
Mean5.6261261
Median Absolute Deviation (MAD)2
Skewness5.9558396
Sum1249
Variance64.117504
MonotonicityNot monotonic
2023-12-11T06:10:45.871437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
5 38
13.1%
4 34
11.7%
2 27
 
9.3%
7 22
 
7.6%
6 21
 
7.2%
3 21
 
7.2%
0 19
 
6.5%
8 13
 
4.5%
9 8
 
2.7%
1 7
 
2.4%
Other values (7) 12
 
4.1%
(Missing) 69
23.7%
ValueCountFrequency (%)
0 19
6.5%
1 7
 
2.4%
2 27
9.3%
3 21
7.2%
4 34
11.7%
5 38
13.1%
6 21
7.2%
7 22
7.6%
8 13
 
4.5%
9 8
 
2.7%
ValueCountFrequency (%)
67 2
 
0.7%
56 1
 
0.3%
45 1
 
0.3%
34 1
 
0.3%
13 1
 
0.3%
11 1
 
0.3%
10 5
 
1.7%
9 8
 
2.7%
8 13
4.5%
7 22
7.6%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)3.9%
Missing137
Missing (%)47.1%
Infinite0
Infinite (%)0.0%
Mean1.012987
Minimum0
Maximum6
Zeros70
Zeros (%)24.1%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-11T06:10:45.964191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.1825917
Coefficient of variation (CV)1.1674302
Kurtosis1.4242481
Mean1.012987
Median Absolute Deviation (MAD)1
Skewness1.1998153
Sum156
Variance1.398523
MonotonicityNot monotonic
2023-12-11T06:10:46.056798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 70
24.1%
1 37
 
12.7%
2 30
 
10.3%
3 11
 
3.8%
4 5
 
1.7%
6 1
 
0.3%
(Missing) 137
47.1%
ValueCountFrequency (%)
0 70
24.1%
1 37
12.7%
2 30
10.3%
3 11
 
3.8%
4 5
 
1.7%
6 1
 
0.3%
ValueCountFrequency (%)
6 1
 
0.3%
4 5
 
1.7%
3 11
 
3.8%
2 30
10.3%
1 37
12.7%
0 70
24.1%

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값임산부정원수영유아정원(명)임산부실면적(㎡)영유아실면적(㎡)모유수유실면적(㎡)급식시설면적(㎡)세탁실면적(㎡)목욕실면적조리원화장실면적(㎡)사무실면적(㎡)간호사수(명)간호조무사수(명)영양사수(명)취사부수(명)미화원수(명)기타인원수건물층수지상층수지하층수
0고양시킹덤 산후조리원2007-03-06<NA>13영업중<NA>031-908-6020<NA>10447경기도 고양시 일산동구 중앙로 1072, 301,302호 (백석동)경기도 고양시 일산동구 백석동 1294번지 1호1044737.645072126.785882<NA>181037.38973460324.6016111316276.9633.1643.3647.414.8558.945.621.637021112102
1고양시마티네 차움 산후조리원2020-02-10<NA>13영업중<NA>031-782-8998<NA>10414경기도 고양시 일산동구 중앙로 1205, 차병원(11~13층) (장항동)경기도 고양시 일산동구 장항동 889번지1041437.654123126.77574<NA>180159.813475461339.11268451511060.74250.080.0224.1223.770.0373.2723.7718411943819136
2고양시퀸스파크산후조리원2015-05-04<NA>13영업중<NA><NA><NA>10324경기도 고양시 일산동구 위시티로 18 (식사동)경기도 고양시 일산동구 식사동 1588번지 동국타워 2층410-82137.674557126.80752<NA>182952.408473463589.6423431313280.034.420.038.2613.180.00.021.9541102201082
3고양시(주)세인트누보산후조리원20120718<NA>13영업중<NA>031-970-3335<NA>10526경기도 고양시 덕양구 충장로 2, 8층 (행신동)경기도 고양시 덕양구 행신2동 762번지 4호41222237.613134126.834478<NA>185316.82091456779.8650271819353.833.27.043.40.07.216.212.74402111082
4고양시사랑애산후조리원2019-10-14<NA>13영업중<NA>911-0704<NA>10387경기도 고양시 일산서구 중앙로 1443, 가람상가 5층 (주엽동)경기도 고양시 일산서구 주엽동 110번지 2호 가람상가1038737.670391126.759707<NA>178734.035215463140.2117641919332.041.140.016.228.192.47.0615.2360310000
5고양시더플라워 산후조리원 일산점20140120<NA>13영업중<NA>819-1000<NA>10500경기도 고양시 덕양구 화중로 72, 6층 (화정동, 케이탑리츠 화정빌딩)경기도 고양시 덕양구 화정동 970-2번지 케이탑리츠화정빌딩 6층1050037.633638126.831054<NA>185009.0459053.02121518.4852.15<NA>20.8115.68<NA>3.622.0936<NA>22<NA>1064
6고양시이자르산후조리원일산점20061215<NA>13영업중<NA>938-3038<NA>10495경기도 고양시 덕양구 중앙로558번길 16-6, 4층 (행신동)경기도 고양시 덕양구 행신동 948번지 신일빌딩1049537.623913126.836095<NA>185465.917525457975.4977351717151.6129.92<NA>34.5610.534.0<NA><NA>5811<NA><NA>74<NA>
7고양시아이산산후조리원20060427<NA>13영업중<NA>916-9410<NA>10237경기도 고양시 일산서구 덕이로 8 (덕이동)경기도 고양시 일산서구 덕이동 219번지 45호41145037.689791126.75832<NA>178619.262401465301.400294151515.4326.0<NA><NA><NA><NA><NA>5.031212<NA>30<NA><NA>
8고양시그레이스산후조리원2014-07-10<NA>13영업중<NA>031-901-4000<NA>410-817경기도 고양시 일산동구 중앙로 1071 (백석동)경기도 고양시 일산동구 백석동 1334-1번지1044737.644573126.785309<NA><NA><NA>2323401.9459.7953.9624.080.09.0288.846.5952000211293
9고양시유재산후조리원2006-12-07<NA>13영업중<NA>031-810-9877<NA>10401경기도 고양시 일산동구 중앙로 1317, 6,7층 (장항동, 일산복합빌딩)경기도 고양시 일산동구 장항동 780번지 일산복합빌딩 6,7층1040137.662929126.76994<NA>179633.315549462306.0385433628650.0778.90.00.08.480.00.00.051500031183
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값임산부정원수영유아정원(명)임산부실면적(㎡)영유아실면적(㎡)모유수유실면적(㎡)급식시설면적(㎡)세탁실면적(㎡)목욕실면적조리원화장실면적(㎡)사무실면적(㎡)간호사수(명)간호조무사수(명)영양사수(명)취사부수(명)미화원수(명)기타인원수건물층수지상층수지하층수
281화성시동탄제일프리미엄산후조리원20130925<NA>13영업중<NA>8015-7911<NA>18450경기도 화성시 삼성1로 138 (석우동)경기도 화성시 석우동 42번지 4호1845037.216022127.078626<NA>206908.717064412685.4770654444860.095.027.0173.018.066.019.010.03512110<NA><NA>
282화성시해피본 산후조리원20120209<NA>13영업중<NA>03180598866<NA>445926경기도 화성시 향남읍 행정중앙2로 69-17경기도 화성시 향남읍 행정리 486번지 3호44592637.130273126.922862<NA>193075.067354403168.769201151517.1544.012.7164.557.021.712.8811.21210001972
283화성시주식회사 아이소리산후조리원20100115<NA>13영업중<NA>8015-2022<NA>18455경기도 화성시 동탄문화센터로 61, 3층 (반송동, 아시아 프라자)경기도 화성시 반송동 107-7번지 아시아프라자 3층1845537.199684127.072113<NA>205775.982503411481.3238172525352.2853.1412.9929.169.0108.0<NA>24.9932<NA>1110<NA><NA>
284화성시보듬산후조리원20081124<NA>13영업중<NA><NA><NA>18434경기도 화성시 동탄지성로 126 (반송동, 정일프라자)경기도 화성시 반송동 41-1번지 정일프라자1843437.209354127.061814<NA>205411.0411942.02323494.054.416.815.011.048.030.0<NA>54<NA>22<NA>0<NA><NA>
285화성시반송제일산후조리원20120824<NA>13영업중<NA>031-8015-0115<NA>18436경기도 화성시 동탄공원로 24 (반송동, 덕천메디칼프라자2~5층)경기도 화성시 반송동 61번지 11호44516037.201756127.059695<NA>205232.27098411100.1244952020440.040.011.446.412.497.021.05.538<NA>331651
286화성시(주)노블아이 산후조리원20190429<NA>13영업중<NA>031-8077-2292<NA>18486경기도 화성시 동탄신리천로 254, 5층 (오산동)경기도 화성시 오산동 1039-1번지 5층1848637.184036127.106236<NA><NA><NA>1919506.053.011.088.08.026.655.727.0310<NA><NA>2255<NA>
287화성시강남퀸즈산후조리원 예송점2011-10-06<NA>3폐업2023-03-07223-5000<NA>18398경기도 화성시 효행로 1065 (진안동, 나라프라자)경기도 화성시 진안동 914번지 5호 8통 904호1839837.215116127.043376<NA>203779.439629412580.781832727464.480.823.678.322.025.056.014.4381111330
288화성시중앙산후조리원20051025<NA>3폐업20091102<NA><NA><NA><NA>경기도 화성시 진안동445390<NA><NA><NA><NA><NA>1010<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
289화성시동탄제일산후조리원20110624<NA>3폐업20121012<NA><NA><NA>경기도 화성시 삼성1로 140경기도 화성시 석우동 42번지 3호44517037.216229127.078579<NA>206903.774067412707.7130289977.9553.2421.028.0<NA><NA>73.8<NA>42<NA><NA>1<NA>0<NA><NA>
290화성시미래여성 산후조리원20091021<NA>3폐업20121130031-8059-6656<NA><NA>경기도 화성시 향남읍 행정중앙2로 29경기도 화성시 향남읍 행정리 435번지 1호44592637.130045126.918597<NA>192696.360912403143.28889577109.816.06.427.05.7<NA>3.3<NA>23<NA>11<NA>0<NA><NA>