Overview

Dataset statistics

Number of variables28
Number of observations311
Missing cells158
Missing cells (%)1.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory72.7 KiB
Average record size in memory239.4 B

Variable types

Numeric9
Categorical14
Text4
DateTime1

Dataset

Description광산구 관내 어린이집의 CCTV 설치 현황에 관한 데이터로 시설명, 도로명주소, 설치대수, 어린이집 상태, 설치구분 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15055947/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
어린이집상태 is highly imbalanced (88.1%)Imbalance
설치구분 is highly imbalanced (91.7%)Imbalance
필수설치_식당(별도구획) is highly imbalanced (91.8%)Imbalance
필수설치_강당(별도구획) is highly imbalanced (76.2%)Imbalance
조리실 is highly imbalanced (81.3%)Imbalance
사무실 is highly imbalanced (81.3%)Imbalance
양호실 is highly imbalanced (90.1%)Imbalance
기타 is highly imbalanced (84.9%)Imbalance
영상정보보존기간 is highly imbalanced (94.4%)Imbalance
운영방식 is highly imbalanced (60.5%)Imbalance
설치운영비용 has 156 (50.2%) missing valuesMissing
연번 has unique valuesUnique
필수설치_공동놀이실 has 64 (20.6%) zerosZeros
필수설치_놀이터(인근놀이터제외) has 243 (78.1%) zerosZeros
복도_현관 has 228 (73.3%) zerosZeros
건물외부 has 248 (79.7%) zerosZeros

Reproduction

Analysis started2023-12-12 09:59:11.972478
Analysis finished2023-12-12 09:59:12.710464
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct311
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean156
Minimum1
Maximum311
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-12T18:59:12.786309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile16.5
Q178.5
median156
Q3233.5
95-th percentile295.5
Maximum311
Range310
Interquartile range (IQR)155

Descriptive statistics

Standard deviation89.922189
Coefficient of variation (CV)0.57642429
Kurtosis-1.2
Mean156
Median Absolute Deviation (MAD)78
Skewness0
Sum48516
Variance8086
MonotonicityStrictly increasing
2023-12-12T18:59:12.999244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
206 1
 
0.3%
213 1
 
0.3%
212 1
 
0.3%
211 1
 
0.3%
210 1
 
0.3%
209 1
 
0.3%
208 1
 
0.3%
207 1
 
0.3%
205 1
 
0.3%
Other values (301) 301
96.8%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
311 1
0.3%
310 1
0.3%
309 1
0.3%
308 1
0.3%
307 1
0.3%
306 1
0.3%
305 1
0.3%
304 1
0.3%
303 1
0.3%
302 1
0.3%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
광주광역시
311 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광주광역시 311
100.0%

Length

2023-12-12T18:59:13.192349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:59:13.361801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광주광역시 311
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
광산구
311 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광산구 311
100.0%

Length

2023-12-12T18:59:13.511009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:59:13.628207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광산구 311
100.0%

어린이집명
Text

Distinct310
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-12T18:59:13.830050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length7.7942122
Min length6

Characters and Unicode

Total characters2424
Distinct characters276
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique309 ?
Unique (%)99.4%

Sample

1st row가람어린이집
2nd row가온누리어린이집
3rd row개미와베짱이어린이집
4th row고운어린이집
5th row고은어린이집
ValueCountFrequency (%)
구립 36
 
10.2%
어린이집 4
 
1.1%
또래어린이집 2
 
0.6%
아이조은어린이집 1
 
0.3%
에코어린이집 1
 
0.3%
에녹어린이집 1
 
0.3%
엄지어린이집 1
 
0.3%
엄마손어린이집 1
 
0.3%
애플어린이집 1
 
0.3%
아이숲 1
 
0.3%
Other values (304) 304
86.1%
2023-12-12T18:59:14.229742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 361
 
14.9%
린 317
 
13.1%
어 313
 
12.9%
집 311
 
12.8%
아 50
 
2.1%
42
 
1.7%
구 37
 
1.5%
립 37
 
1.5%
리 29
 
1.2%
사 23
 
0.9%
Other values (266) 904
37.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2376
98.0%
Space Separator 42
 
1.7%
Uppercase Letter 5
 
0.2%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 361
15.2%
린 317
 
13.3%
어 313
 
13.2%
집 311
 
13.1%
아 50
 
2.1%
구 37
 
1.6%
립 37
 
1.6%
리 29
 
1.2%
사 23
 
1.0%
나 20
 
0.8%
Other values (261) 878
37.0%
Uppercase Letter
ValueCountFrequency (%)
Q 2
40.0%
E 2
40.0%
S 1
20.0%
Space Separator
ValueCountFrequency (%)
42
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2376
98.0%
Common 43
 
1.8%
Latin 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 361
15.2%
린 317
 
13.3%
어 313
 
13.2%
집 311
 
13.1%
아 50
 
2.1%
구 37
 
1.6%
립 37
 
1.6%
리 29
 
1.2%
사 23
 
1.0%
나 20
 
0.8%
Other values (261) 878
37.0%
Latin
ValueCountFrequency (%)
Q 2
40.0%
E 2
40.0%
S 1
20.0%
Common
ValueCountFrequency (%)
42
97.7%
3 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2376
98.0%
ASCII 48
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 361
15.2%
린 317
 
13.3%
어 313
 
13.2%
집 311
 
13.1%
아 50
 
2.1%
구 37
 
1.6%
립 37
 
1.6%
리 29
 
1.2%
사 23
 
1.0%
나 20
 
0.8%
Other values (261) 878
37.0%
ASCII
ValueCountFrequency (%)
42
87.5%
Q 2
 
4.2%
E 2
 
4.2%
3 1
 
2.1%
S 1
 
2.1%

주소
Text

Distinct308
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-12T18:59:14.538549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length42
Mean length36.803859
Min length15

Characters and Unicode

Total characters11446
Distinct characters222
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique305 ?
Unique (%)98.1%

Sample

1st row광주광역시 광산구 첨단과기로 45-31 D동 101호(비아동, 금릉빌라)
2nd row광주광역시 광산구 장덕로 138 해솔마을현진에버빌1단지아파트 관리동
3rd row광주광역시 광산구 소촌로152번길 10 101동 101호(소촌동, 스위트밸리1차아파트)
4th row광주광역시 광산구 왕버들로251번길 27 510동 101호(신창동, 신창5차호반베르디움아파트)
5th row광주광역시 광산구 목련로153번길 134 602동 105호(운남동, 주공아파트)
ValueCountFrequency (%)
광주광역시 311
 
16.2%
광산구 311
 
16.2%
관리동 52
 
2.7%
22 14
 
0.7%
월계로 13
 
0.7%
부영아파트 13
 
0.7%
신가동 11
 
0.6%
34 10
 
0.5%
첨단중앙로68번길 10
 
0.5%
목련로 9
 
0.5%
Other values (634) 1169
60.8%
2023-12-12T18:59:15.052956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1613
 
14.1%
광 949
 
8.3%
1 609
 
5.3%
동 441
 
3.9%
산 406
 
3.5%
주 340
 
3.0%
0 340
 
3.0%
시 330
 
2.9%
로 322
 
2.8%
구 321
 
2.8%
Other values (212) 5775
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6947
60.7%
Decimal Number 2206
 
19.3%
Space Separator 1613
 
14.1%
Close Punctuation 221
 
1.9%
Open Punctuation 221
 
1.9%
Other Punctuation 151
 
1.3%
Dash Punctuation 72
 
0.6%
Uppercase Letter 14
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 949
 
13.7%
동 441
 
6.3%
산 406
 
5.8%
주 340
 
4.9%
시 330
 
4.8%
로 322
 
4.6%
구 321
 
4.6%
역 312
 
4.5%
길 199
 
2.9%
아 190
 
2.7%
Other values (188) 3137
45.2%
Decimal Number
ValueCountFrequency (%)
1 609
27.6%
0 340
15.4%
2 313
14.2%
3 238
 
10.8%
5 141
 
6.4%
6 138
 
6.3%
4 130
 
5.9%
7 108
 
4.9%
8 106
 
4.8%
9 83
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
S 6
42.9%
H 2
 
14.3%
L 2
 
14.3%
D 1
 
7.1%
G 1
 
7.1%
E 1
 
7.1%
A 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 148
98.0%
/ 3
 
2.0%
Space Separator
ValueCountFrequency (%)
1613
100.0%
Close Punctuation
ValueCountFrequency (%)
) 221
100.0%
Open Punctuation
ValueCountFrequency (%)
( 221
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%
Lowercase Letter
ValueCountFrequency (%)
s 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6947
60.7%
Common 4484
39.2%
Latin 15
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 949
 
13.7%
동 441
 
6.3%
산 406
 
5.8%
주 340
 
4.9%
시 330
 
4.8%
로 322
 
4.6%
구 321
 
4.6%
역 312
 
4.5%
길 199
 
2.9%
아 190
 
2.7%
Other values (188) 3137
45.2%
Common
ValueCountFrequency (%)
1613
36.0%
1 609
 
13.6%
0 340
 
7.6%
2 313
 
7.0%
3 238
 
5.3%
) 221
 
4.9%
( 221
 
4.9%
, 148
 
3.3%
5 141
 
3.1%
6 138
 
3.1%
Other values (6) 502
 
11.2%
Latin
ValueCountFrequency (%)
S 6
40.0%
H 2
 
13.3%
L 2
 
13.3%
D 1
 
6.7%
G 1
 
6.7%
E 1
 
6.7%
A 1
 
6.7%
s 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6947
60.7%
ASCII 4499
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1613
35.9%
1 609
 
13.5%
0 340
 
7.6%
2 313
 
7.0%
3 238
 
5.3%
) 221
 
4.9%
( 221
 
4.9%
, 148
 
3.3%
5 141
 
3.1%
6 138
 
3.1%
Other values (14) 517
 
11.5%
Hangul
ValueCountFrequency (%)
광 949
 
13.7%
동 441
 
6.3%
산 406
 
5.8%
주 340
 
4.9%
시 330
 
4.8%
로 322
 
4.6%
구 321
 
4.6%
역 312
 
4.5%
길 199
 
2.9%
아 190
 
2.7%
Other values (188) 3137
45.2%

어린이집유형
Categorical

Distinct7
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
가정
129 
민간
98 
국공립
52 
사회복지법인
20 
직장
 
6
Other values (2)
 
6

Length

Max length6
Median length2
Mean length2.4758842
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가정
2nd row민간
3rd row가정
4th row가정
5th row가정

Common Values

ValueCountFrequency (%)
가정 129
41.5%
민간 98
31.5%
국공립 52
16.7%
사회복지법인 20
 
6.4%
직장 6
 
1.9%
법인·단체등 4
 
1.3%
협동 2
 
0.6%

Length

2023-12-12T18:59:15.223925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:59:15.375184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가정 129
41.5%
민간 98
31.5%
국공립 52
16.7%
사회복지법인 20
 
6.4%
직장 6
 
1.9%
법인·단체등 4
 
1.3%
협동 2
 
0.6%

어린이집상태
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
정상
306 
재개
 
5

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 306
98.4%
재개 5
 
1.6%

Length

2023-12-12T18:59:15.527393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:59:15.643809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 306
98.4%
재개 5
 
1.6%

설치구분
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
폐쇄회로 TV
305 
네트워크 카메라(실시간모니터링 무)
 
3
미설치
 
2
네트워크 카메라(실시간모니터링 유)
 
1

Length

Max length19
Median length7
Mean length7.1286174
Min length3

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row미설치
2nd row폐쇄회로 TV
3rd row폐쇄회로 TV
4th row폐쇄회로 TV
5th row폐쇄회로 TV

Common Values

ValueCountFrequency (%)
폐쇄회로 TV 305
98.1%
네트워크 카메라(실시간모니터링 무) 3
 
1.0%
미설치 2
 
0.6%
네트워크 카메라(실시간모니터링 유) 1
 
0.3%

Length

2023-12-12T18:59:15.777096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:59:15.894932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐쇄회로 305
48.9%
tv 305
48.9%
네트워크 4
 
0.6%
카메라(실시간모니터링 4
 
0.6%
무 3
 
0.5%
미설치 2
 
0.3%
유 1
 
0.2%

총설치대수
Real number (ℝ)

Distinct23
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.3344051
Minimum0
Maximum36
Zeros2
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-12T18:59:16.006064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q14
median5
Q39
95-th percentile16
Maximum36
Range36
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.845757
Coefficient of variation (CV)0.66068848
Kurtosis4.8643462
Mean7.3344051
Median Absolute Deviation (MAD)1
Skewness1.8991836
Sum2281
Variance23.481361
MonotonicityNot monotonic
2023-12-12T18:59:16.134376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
4 131
42.1%
6 27
 
8.7%
5 26
 
8.4%
8 25
 
8.0%
7 16
 
5.1%
12 13
 
4.2%
16 13
 
4.2%
10 10
 
3.2%
13 8
 
2.6%
15 6
 
1.9%
Other values (13) 36
 
11.6%
ValueCountFrequency (%)
0 2
 
0.6%
2 1
 
0.3%
3 3
 
1.0%
4 131
42.1%
5 26
 
8.4%
6 27
 
8.7%
7 16
 
5.1%
8 25
 
8.0%
9 6
 
1.9%
10 10
 
3.2%
ValueCountFrequency (%)
36 1
 
0.3%
28 1
 
0.3%
22 3
 
1.0%
21 1
 
0.3%
20 2
 
0.6%
19 3
 
1.0%
18 3
 
1.0%
16 13
4.2%
15 6
1.9%
14 6
1.9%

필수설치_보육실
Real number (ℝ)

Distinct16
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0450161
Minimum0
Maximum25
Zeros2
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-12T18:59:16.285782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q13
median4
Q36
95-th percentile11
Maximum25
Range25
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.0540136
Coefficient of variation (CV)0.60535261
Kurtosis6.5105917
Mean5.0450161
Median Absolute Deviation (MAD)1
Skewness2.0887337
Sum1569
Variance9.3269993
MonotonicityNot monotonic
2023-12-12T18:59:16.838388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3 137
44.1%
4 49
 
15.8%
5 34
 
10.9%
6 21
 
6.8%
10 19
 
6.1%
7 12
 
3.9%
11 9
 
2.9%
8 8
 
2.6%
9 7
 
2.3%
13 4
 
1.3%
Other values (6) 11
 
3.5%
ValueCountFrequency (%)
0 2
 
0.6%
2 2
 
0.6%
3 137
44.1%
4 49
 
15.8%
5 34
 
10.9%
6 21
 
6.8%
7 12
 
3.9%
8 8
 
2.6%
9 7
 
2.3%
10 19
 
6.1%
ValueCountFrequency (%)
25 1
 
0.3%
16 1
 
0.3%
15 3
 
1.0%
13 4
 
1.3%
12 2
 
0.6%
11 9
2.9%
10 19
6.1%
9 7
 
2.3%
8 8
2.6%
7 12
3.9%

필수설치_공동놀이실
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.93569132
Minimum0
Maximum6
Zeros64
Zeros (%)20.6%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-12T18:59:17.003620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.72002201
Coefficient of variation (CV)0.76950806
Kurtosis12.526237
Mean0.93569132
Median Absolute Deviation (MAD)0
Skewness2.3404436
Sum291
Variance0.5184317
MonotonicityNot monotonic
2023-12-12T18:59:17.143115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 219
70.4%
0 64
 
20.6%
2 19
 
6.1%
3 5
 
1.6%
4 2
 
0.6%
5 1
 
0.3%
6 1
 
0.3%
ValueCountFrequency (%)
0 64
 
20.6%
1 219
70.4%
2 19
 
6.1%
3 5
 
1.6%
4 2
 
0.6%
5 1
 
0.3%
6 1
 
0.3%
ValueCountFrequency (%)
6 1
 
0.3%
5 1
 
0.3%
4 2
 
0.6%
3 5
 
1.6%
2 19
 
6.1%
1 219
70.4%
0 64
 
20.6%

필수설치_놀이터(인근놀이터제외)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2733119
Minimum0
Maximum5
Zeros243
Zeros (%)78.1%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-12T18:59:17.289647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.61635895
Coefficient of variation (CV)2.2551486
Kurtosis16.874979
Mean0.2733119
Median Absolute Deviation (MAD)0
Skewness3.4121607
Sum85
Variance0.37989835
MonotonicityNot monotonic
2023-12-12T18:59:17.468133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 243
78.1%
1 58
 
18.6%
2 6
 
1.9%
3 2
 
0.6%
5 1
 
0.3%
4 1
 
0.3%
ValueCountFrequency (%)
0 243
78.1%
1 58
 
18.6%
2 6
 
1.9%
3 2
 
0.6%
4 1
 
0.3%
5 1
 
0.3%
ValueCountFrequency (%)
5 1
 
0.3%
4 1
 
0.3%
3 2
 
0.6%
2 6
 
1.9%
1 58
 
18.6%
0 243
78.1%

필수설치_식당(별도구획)
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
0
306 
1
 
4
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 306
98.4%
1 4
 
1.3%
2 1
 
0.3%

Length

2023-12-12T18:59:17.616380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:59:17.758628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 306
98.4%
1 4
 
1.3%
2 1
 
0.3%

필수설치_강당(별도구획)
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
0
280 
1
 
26
2
 
3
3
 
1
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
0 280
90.0%
1 26
 
8.4%
2 3
 
1.0%
3 1
 
0.3%
4 1
 
0.3%

Length

2023-12-12T18:59:17.905293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:59:18.058238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 280
90.0%
1 26
 
8.4%
2 3
 
1.0%
3 1
 
0.3%
4 1
 
0.3%

조리실
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
0
296 
1
 
14
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 296
95.2%
1 14
 
4.5%
2 1
 
0.3%

Length

2023-12-12T18:59:18.214319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:59:18.326747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 296
95.2%
1 14
 
4.5%
2 1
 
0.3%

복도_현관
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.41800643
Minimum0
Maximum5
Zeros228
Zeros (%)73.3%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-12T18:59:18.444463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.84559421
Coefficient of variation (CV)2.0229215
Kurtosis8.1377727
Mean0.41800643
Median Absolute Deviation (MAD)0
Skewness2.6275287
Sum130
Variance0.71502956
MonotonicityNot monotonic
2023-12-12T18:59:18.557105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 228
73.3%
1 53
 
17.0%
2 20
 
6.4%
3 5
 
1.6%
4 3
 
1.0%
5 2
 
0.6%
ValueCountFrequency (%)
0 228
73.3%
1 53
 
17.0%
2 20
 
6.4%
3 5
 
1.6%
4 3
 
1.0%
5 2
 
0.6%
ValueCountFrequency (%)
5 2
 
0.6%
4 3
 
1.0%
3 5
 
1.6%
2 20
 
6.4%
1 53
 
17.0%
0 228
73.3%

사무실
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
0
296 
1
 
14
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 296
95.2%
1 14
 
4.5%
2 1
 
0.3%

Length

2023-12-12T18:59:18.688123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:59:18.794490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 296
95.2%
1 14
 
4.5%
2 1
 
0.3%

양호실
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
0
307 
1
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 307
98.7%
1 4
 
1.3%

Length

2023-12-12T18:59:18.899263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:59:19.004249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 307
98.7%
1 4
 
1.3%

건물외부
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.32475884
Minimum0
Maximum7
Zeros248
Zeros (%)79.7%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-12T18:59:19.096051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.82344547
Coefficient of variation (CV)2.5355598
Kurtosis20.793688
Mean0.32475884
Median Absolute Deviation (MAD)0
Skewness3.9398573
Sum101
Variance0.67806244
MonotonicityNot monotonic
2023-12-12T18:59:19.204892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 248
79.7%
1 41
 
13.2%
2 16
 
5.1%
4 4
 
1.3%
5 1
 
0.3%
7 1
 
0.3%
ValueCountFrequency (%)
0 248
79.7%
1 41
 
13.2%
2 16
 
5.1%
4 4
 
1.3%
5 1
 
0.3%
7 1
 
0.3%
ValueCountFrequency (%)
7 1
 
0.3%
5 1
 
0.3%
4 4
 
1.3%
2 16
 
5.1%
1 41
 
13.2%
0 248
79.7%

기타
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
0
296 
1
 
9
2
 
4
3
 
1
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
0 296
95.2%
1 9
 
2.9%
2 4
 
1.3%
3 1
 
0.3%
4 1
 
0.3%

Length

2023-12-12T18:59:19.345135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:59:19.476305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 296
95.2%
1 9
 
2.9%
2 4
 
1.3%
3 1
 
0.3%
4 1
 
0.3%

영상정보보존기간
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
60일 이상
309 
<NA>
 
2

Length

Max length6
Median length6
Mean length5.9871383
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row60일 이상
3rd row60일 이상
4th row60일 이상
5th row60일 이상

Common Values

ValueCountFrequency (%)
60일 이상 309
99.4%
<NA> 2
 
0.6%

Length

2023-12-12T18:59:19.595501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:59:19.706201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
60일 309
49.8%
이상 309
49.8%
na 2
 
0.3%

화질
Categorical

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
FULL HD급
209 
HD급(130만화소급)
86 
HD급(100만화소급)
 
14
<NA>
 
2

Length

Max length12
Median length8
Mean length9.2604502
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd rowHD급(130만화소급)
3rd rowFULL HD급
4th rowFULL HD급
5th rowHD급(130만화소급)

Common Values

ValueCountFrequency (%)
FULL HD급 209
67.2%
HD급(130만화소급) 86
27.7%
HD급(100만화소급) 14
 
4.5%
<NA> 2
 
0.6%

Length

2023-12-12T18:59:19.835372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:59:19.943058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
full 209
40.2%
hd급 209
40.2%
hd급(130만화소급 86
16.5%
hd급(100만화소급 14
 
2.7%
na 2
 
0.4%

설치구분.1
Text

Distinct133
Distinct (%)43.0%
Missing2
Missing (%)0.6%
Memory size2.6 KiB
2023-12-12T18:59:20.141859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length23.640777
Min length23

Characters and Unicode

Total characters7305
Distinct characters27
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique102 ?
Unique (%)33.0%

Sample

1st row신규 설치(설치 일자 2022-06-02)
2nd row신규 설치(설치 일자 2015-11-26)
3rd row신규 설치(설치 일자 2015-12-06)
4th row신규 설치(설치 일자 2015-12-11)
5th row신규 설치(설치 일자 2015-12-08)
ValueCountFrequency (%)
일자 309
25.0%
신규 243
19.7%
설치(설치 243
19.7%
설치(업그레이드 66
 
5.3%
기존 66
 
5.3%
2015-11-27 20
 
1.6%
2015-12-03 18
 
1.5%
2015-12-02 17
 
1.4%
2015-12-04 15
 
1.2%
2015-11-28 12
 
1.0%
Other values (112) 227
18.4%
2023-12-12T18:59:20.544772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
927
12.7%
1 725
9.9%
2 654
 
9.0%
- 618
 
8.5%
0 568
 
7.8%
설 552
 
7.6%
치 552
 
7.6%
( 309
 
4.2%
일 309
 
4.2%
자 309
 
4.2%
Other values (17) 1782
24.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2670
36.6%
Decimal Number 2472
33.8%
Space Separator 927
 
12.7%
Dash Punctuation 618
 
8.5%
Open Punctuation 309
 
4.2%
Close Punctuation 309
 
4.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
설 552
20.7%
치 552
20.7%
일 309
11.6%
자 309
11.6%
규 243
9.1%
신 243
9.1%
존 66
 
2.5%
이 66
 
2.5%
레 66
 
2.5%
그 66
 
2.5%
Other values (3) 198
 
7.4%
Decimal Number
ValueCountFrequency (%)
1 725
29.3%
2 654
26.5%
0 568
23.0%
5 265
 
10.7%
3 71
 
2.9%
7 54
 
2.2%
8 38
 
1.5%
4 37
 
1.5%
9 34
 
1.4%
6 26
 
1.1%
Space Separator
ValueCountFrequency (%)
927
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 618
100.0%
Open Punctuation
ValueCountFrequency (%)
( 309
100.0%
Close Punctuation
ValueCountFrequency (%)
) 309
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4635
63.4%
Hangul 2670
36.6%

Most frequent character per script

Common
ValueCountFrequency (%)
927
20.0%
1 725
15.6%
2 654
14.1%
- 618
13.3%
0 568
12.3%
( 309
 
6.7%
) 309
 
6.7%
5 265
 
5.7%
3 71
 
1.5%
7 54
 
1.2%
Other values (4) 135
 
2.9%
Hangul
ValueCountFrequency (%)
설 552
20.7%
치 552
20.7%
일 309
11.6%
자 309
11.6%
규 243
9.1%
신 243
9.1%
존 66
 
2.5%
이 66
 
2.5%
레 66
 
2.5%
그 66
 
2.5%
Other values (3) 198
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4635
63.4%
Hangul 2670
36.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
927
20.0%
1 725
15.6%
2 654
14.1%
- 618
13.3%
0 568
12.3%
( 309
 
6.7%
) 309
 
6.7%
5 265
 
5.7%
3 71
 
1.5%
7 54
 
1.2%
Other values (4) 135
 
2.9%
Hangul
ValueCountFrequency (%)
설 552
20.7%
치 552
20.7%
일 309
11.6%
자 309
11.6%
규 243
9.1%
신 243
9.1%
존 66
 
2.5%
이 66
 
2.5%
레 66
 
2.5%
그 66
 
2.5%
Other values (3) 198
 
7.4%

설치운영비용
Text

MISSING 

Distinct56
Distinct (%)36.1%
Missing156
Missing (%)50.2%
Memory size2.6 KiB
2023-12-12T18:59:20.879642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length11
Mean length11.625806
Min length9

Characters and Unicode

Total characters1802
Distinct characters26
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)25.8%

Sample

1st row렌탈 시 운영비용(월 15만원)
2nd row설치비용(176만원)
3rd row설치비용(150만원)
4th row렌탈 시 운영비용(월 5.5만원)
5th row렌탈 시 운영비용(월 12만원)
ValueCountFrequency (%)
설치비용(107만원 63
34.6%
렌탈 9
 
4.9%
운영비용(월 9
 
4.9%
시 9
 
4.9%
설치비용(150만원 9
 
4.9%
설치비용(268만원 6
 
3.3%
설치비용(163만원 6
 
3.3%
설치비용(307만원 4
 
2.2%
설치비용(242만원 4
 
2.2%
설치비용(0만원 3
 
1.6%
Other values (49) 60
33.0%
2023-12-12T18:59:21.413544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
비 155
8.6%
용 155
8.6%
( 155
8.6%
만 155
8.6%
원 155
8.6%
) 155
8.6%
0 149
8.3%
설 146
8.1%
치 146
8.1%
1 112
 
6.2%
Other values (16) 319
17.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 966
53.6%
Decimal Number 494
27.4%
Open Punctuation 155
 
8.6%
Close Punctuation 155
 
8.6%
Space Separator 27
 
1.5%
Other Punctuation 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
비 155
16.0%
용 155
16.0%
만 155
16.0%
원 155
16.0%
설 146
15.1%
치 146
15.1%
렌 9
 
0.9%
탈 9
 
0.9%
시 9
 
0.9%
운 9
 
0.9%
Other values (2) 18
 
1.9%
Decimal Number
ValueCountFrequency (%)
0 149
30.2%
1 112
22.7%
7 77
15.6%
2 38
 
7.7%
6 28
 
5.7%
5 26
 
5.3%
3 24
 
4.9%
8 17
 
3.4%
4 15
 
3.0%
9 8
 
1.6%
Open Punctuation
ValueCountFrequency (%)
( 155
100.0%
Close Punctuation
ValueCountFrequency (%)
) 155
100.0%
Space Separator
ValueCountFrequency (%)
27
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 966
53.6%
Common 836
46.4%

Most frequent character per script

Common
ValueCountFrequency (%)
( 155
18.5%
) 155
18.5%
0 149
17.8%
1 112
13.4%
7 77
9.2%
2 38
 
4.5%
6 28
 
3.3%
27
 
3.2%
5 26
 
3.1%
3 24
 
2.9%
Other values (4) 45
 
5.4%
Hangul
ValueCountFrequency (%)
비 155
16.0%
용 155
16.0%
만 155
16.0%
원 155
16.0%
설 146
15.1%
치 146
15.1%
렌 9
 
0.9%
탈 9
 
0.9%
시 9
 
0.9%
운 9
 
0.9%
Other values (2) 18
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 966
53.6%
ASCII 836
46.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
비 155
16.0%
용 155
16.0%
만 155
16.0%
원 155
16.0%
설 146
15.1%
치 146
15.1%
렌 9
 
0.9%
탈 9
 
0.9%
시 9
 
0.9%
운 9
 
0.9%
Other values (2) 18
 
1.9%
ASCII
ValueCountFrequency (%)
( 155
18.5%
) 155
18.5%
0 149
17.8%
1 112
13.4%
7 77
9.2%
2 38
 
4.5%
6 28
 
3.3%
27
 
3.2%
5 26
 
3.1%
3 24
 
2.9%
Other values (4) 45
 
5.4%

운영방식
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
자체운영
267 
외주업체
42 
<NA>
 
2

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자체운영 267
85.9%
외주업체 42
 
13.5%
<NA> 2
 
0.6%

Length

2023-12-12T18:59:21.588049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:59:21.689277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자체운영 267
85.9%
외주업체 42
 
13.5%
na 2
 
0.6%

위도
Real number (ℝ)

Distinct253
Distinct (%)81.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.202322
Minimum35.049612
Maximum37.566491
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-12T18:59:21.836065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.049612
5-th percentile35.131008
Q135.164873
median35.181556
Q335.200165
95-th percentile35.220506
Maximum37.566491
Range2.5168786
Interquartile range (IQR)0.03529171

Descriptive statistics

Standard deviation0.23310533
Coefficient of variation (CV)0.0066218737
Kurtosis97.569212
Mean35.202322
Median Absolute Deviation (MAD)0.017622188
Skewness9.8738877
Sum10947.922
Variance0.054338094
MonotonicityNot monotonic
2023-12-12T18:59:22.017227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.212994 7
 
2.3%
35.20030884 6
 
1.9%
35.19823339 5
 
1.6%
35.193634 4
 
1.3%
35.16409858 4
 
1.3%
35.21009994 3
 
1.0%
35.174526 3
 
1.0%
35.17410027 3
 
1.0%
35.17896079 3
 
1.0%
35.1881 3
 
1.0%
Other values (243) 270
86.8%
ValueCountFrequency (%)
35.04961215452303 1
0.3%
35.07693235495454 1
0.3%
35.083464818381124 1
0.3%
35.123440450870014 1
0.3%
35.12429868 1
0.3%
35.12540362 1
0.3%
35.12642427 1
0.3%
35.12669372 1
0.3%
35.12824912 1
0.3%
35.128342965255484 1
0.3%
ValueCountFrequency (%)
37.566490747286046 1
0.3%
37.564796903952505 1
0.3%
37.50102780345767 1
0.3%
35.226672062294185 1
0.3%
35.22551601 1
0.3%
35.22440088 1
0.3%
35.22392292 1
0.3%
35.22377625 1
0.3%
35.22360982 1
0.3%
35.22331489 1
0.3%

경도
Real number (ℝ)

Distinct253
Distinct (%)81.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.8208
Minimum126.6764
Maximum127.21479
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-12T18:59:22.164122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.6764
5-th percentile126.78589
Q1126.8027
median126.8176
Q3126.83594
95-th percentile126.84895
Maximum127.21479
Range0.53839182
Interquartile range (IQR)0.0332412

Descriptive statistics

Standard deviation0.039842607
Coefficient of variation (CV)0.0003141646
Kurtosis38.959119
Mean126.8208
Median Absolute Deviation (MAD)0.016974677
Skewness4.5665891
Sum39441.27
Variance0.0015874334
MonotonicityNot monotonic
2023-12-12T18:59:22.328250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.84566 7
 
2.3%
126.8394968 6
 
1.9%
126.8366273 5
 
1.6%
126.83344 4
 
1.3%
126.8121246 4
 
1.3%
126.8503127 3
 
1.0%
126.816696 3
 
1.0%
126.8027018 3
 
1.0%
126.7969141 3
 
1.0%
126.838844 3
 
1.0%
Other values (243) 270
86.8%
ValueCountFrequency (%)
126.67639862583655 1
0.3%
126.7173268 1
0.3%
126.7294127 1
0.3%
126.73723516820584 1
0.3%
126.7475505 1
0.3%
126.7689875924976 1
0.3%
126.7718914270045 1
0.3%
126.77253861107914 1
0.3%
126.77546471287768 1
0.3%
126.7763346743834 1
0.3%
ValueCountFrequency (%)
127.21479044339335 1
0.3%
127.07271749578342 1
0.3%
127.01771878409896 1
0.3%
126.97833591234554 1
0.3%
126.97817695572196 1
0.3%
126.97217967115007 1
0.3%
126.855537377533 1
0.3%
126.85386320973228 1
0.3%
126.8508428792 1
0.3%
126.8503279 1
0.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum2023-05-08 00:00:00
Maximum2023-05-08 00:00:00
2023-12-12T18:59:22.455681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:59:22.575874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

연번시도명시군구명어린이집명주소어린이집유형어린이집상태설치구분총설치대수필수설치_보육실필수설치_공동놀이실필수설치_놀이터(인근놀이터제외)필수설치_식당(별도구획)필수설치_강당(별도구획)조리실복도_현관사무실양호실건물외부기타영상정보보존기간화질설치구분.1설치운영비용운영방식위도경도데이터기준일자
01광주광역시광산구가람어린이집광주광역시 광산구 첨단과기로 45-31 D동 101호(비아동, 금릉빌라)가정정상미설치000000000000<NA><NA><NA><NA><NA>35.22361126.8287972023-05-08
12광주광역시광산구가온누리어린이집광주광역시 광산구 장덕로 138 해솔마을현진에버빌1단지아파트 관리동민간정상폐쇄회로 TV104000012102060일 이상HD급(130만화소급)신규 설치(설치 일자 2022-06-02)렌탈 시 운영비용(월 15만원)외주업체35.196138126.8232522023-05-08
23광주광역시광산구개미와베짱이어린이집광주광역시 광산구 소촌로152번길 10 101동 101호(소촌동, 스위트밸리1차아파트)가정정상폐쇄회로 TV54000000001060일 이상FULL HD급신규 설치(설치 일자 2015-11-26)<NA>자체운영35.157334126.7930292023-05-08
34광주광역시광산구고운어린이집광주광역시 광산구 왕버들로251번길 27 510동 101호(신창동, 신창5차호반베르디움아파트)가정정상폐쇄회로 TV43100000000060일 이상FULL HD급신규 설치(설치 일자 2015-12-06)<NA>자체운영35.198233126.8366272023-05-08
45광주광역시광산구고은어린이집광주광역시 광산구 목련로153번길 134 602동 105호(운남동, 주공아파트)가정정상폐쇄회로 TV43100000000060일 이상HD급(130만화소급)신규 설치(설치 일자 2015-12-11)<NA>자체운영35.179227126.8158862023-05-08
56광주광역시광산구골드클래스어린이집광주광역시 광산구 장덕로5번길 16 수완골드클래스아파트 관리동민간정상폐쇄회로 TV76100000000060일 이상FULL HD급신규 설치(설치 일자 2015-12-08)설치비용(176만원)자체운영35.197847126.8112492023-05-08
67광주광역시광산구광산어린이집광주광역시 광산구 송도로212번길 50-9사회복지법인정상폐쇄회로 TV1610410100000060일 이상HD급(130만화소급)기존 설치(업그레이드 일자 2021-09-01)<NA>자체운영35.13103126.7977452023-05-08
78광주광역시광산구광주경찰청어린이집광주광역시 광산구 용아로 112 광주경찰청어린이집 (소촌동)직장정상폐쇄회로 TV185010005105160일 이상FULL HD급기존 설치(업그레이드 일자 2015-07-13)<NA>자체운영35.153845126.8005622023-05-08
89광주광역시광산구광주빛그린직장어린이집광주광역시 광산구 빛동8로 10직장정상폐쇄회로 TV146111111110060일 이상HD급(100만화소급)신규 설치(설치 일자 2022-03-01)<NA>자체운영35.139464126.7937182023-05-08
910광주광역시광산구광주하남3차부영사랑으로어린이집광주광역시 광산구 하남대로 30 부영 3차아파트 관리동 (하남동)민간정상폐쇄회로 TV75000002000060일 이상FULL HD급기존 설치(업그레이드 일자 2015-11-30)설치비용(150만원)자체운영35.178961126.7969142023-05-08
연번시도명시군구명어린이집명주소어린이집유형어린이집상태설치구분총설치대수필수설치_보육실필수설치_공동놀이실필수설치_놀이터(인근놀이터제외)필수설치_식당(별도구획)필수설치_강당(별도구획)조리실복도_현관사무실양호실건물외부기타영상정보보존기간화질설치구분.1설치운영비용운영방식위도경도데이터기준일자
301302광주광역시광산구햇살모아어린이집광주광역시 광산구 소촌로86번길 17 (소촌동)민간재개폐쇄회로 TV65100000000060일 이상FULL HD급신규 설치(설치 일자 2015-11-27)<NA>자체운영35.152793126.7955032023-05-08
302303광주광역시광산구햇살자리어린이집광주광역시 광산구 신창로71번길 33 203동 101호(신창동, 신창2차부영아파트)가정정상폐쇄회로 TV43100000000060일 이상FULL HD급신규 설치(설치 일자 2015-12-07)설치비용(107만원)자체운영35.193634126.833442023-05-08
303304광주광역시광산구현대몬테소리어린이집광주광역시 광산구 하남대로 248-10 769동 1호(운남동, 운남주공5단지아파트)민간정상폐쇄회로 TV44000000000060일 이상FULL HD급신규 설치(설치 일자 2015-12-03)설치비용(107만원)자체운영35.177946126.8190392023-05-08
304305광주광역시광산구혜화어린이집광주광역시 광산구 용보로27번길 53 (송정동)사회복지법인정상폐쇄회로 TV126110101000260일 이상FULL HD급기존 설치(업그레이드 일자 2015-12-05)<NA>자체운영35.137991126.8030652023-05-08
305306광주광역시광산구호반아이꿈어린이집광주광역시 광산구 풍영로329번길 19 205동 104호(장덕동, 호반베르디움2차아파트)협동정상폐쇄회로 TV54100000000060일 이상HD급(130만화소급)신규 설치(설치 일자 2015-11-28)<NA>자체운영35.200294126.8131362023-05-08
306307광주광역시광산구호반어린이집광주광역시 광산구 비아로 185 호반아파트 단지내 어린이집 (비아동)민간정상폐쇄회로 TV55000000000060일 이상FULL HD급신규 설치(설치 일자 2015-11-30)<NA>외주업체35.222104126.8243292023-05-08
307308광주광역시광산구호반키움어린이집광주광역시 광산구 풍영로329번길 19 수완지구 호반베르디움2차 204동(관리동)민간정상폐쇄회로 TV64100001000060일 이상HD급(130만화소급)기존 설치(업그레이드 일자 2015-11-28)<NA>자체운영35.199844126.8136842023-05-08
308309광주광역시광산구호수어린이집광주광역시 광산구 월곡로 55 (월곡동)가정정상폐쇄회로 TV43100000000060일 이상HD급(130만화소급)기존 설치(업그레이드 일자 2021-03-01)설치비용(1070000만원)자체운영35.168755126.8153852023-05-08
309310광주광역시광산구호정어린이집광주광역시 광산구 목련로273번길 16 (운남동)사회복지법인정상폐쇄회로 TV1410310000000060일 이상HD급(130만화소급)기존 설치(업그레이드 일자 2019-02-11)설치비용(307만원)자체운영35.175158126.8267092023-05-08
310311광주광역시광산구효담어린이집광주광역시 광산구 신창로161번길 34 318동 103호(신창동, 신창3차부영사랑으로아파트)가정정상폐쇄회로 TV43100000000060일 이상FULL HD급신규 설치(설치 일자 2015-12-03)설치비용(107만원)자체운영35.200309126.8394972023-05-08