Overview

Dataset statistics

Number of variables24
Number of observations199
Missing cells140
Missing cells (%)2.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory40.2 KiB
Average record size in memory206.6 B

Variable types

Numeric8
Categorical8
Text6
DateTime1
Boolean1

Dataset

Description대구광역시_아동복지시설 현황_20200131
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15011666&dataSetDetailId=15011666299ec99036ee0&provdMethod=FILE

Alerts

운영주체 is highly imbalanced (60.4%)Imbalance
지원여부 is highly imbalanced (83.1%)Imbalance
종사자수당_인건비(월) is highly imbalanced (60.8%)Imbalance
기본운영비_인건비(월) has 3 (1.5%) missing valuesMissing
우수센터(년) has 11 (5.5%) missing valuesMissing
환경개선(년) has 124 (62.3%) missing valuesMissing
연번 has unique valuesUnique
소재지 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-04-20 16:31:52.546086
Analysis finished2024-04-20 16:31:53.474965
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct199
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100
Minimum1
Maximum199
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-21T01:31:53.606337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.9
Q150.5
median100
Q3149.5
95-th percentile189.1
Maximum199
Range198
Interquartile range (IQR)99

Descriptive statistics

Standard deviation57.590508
Coefficient of variation (CV)0.57590508
Kurtosis-1.2
Mean100
Median Absolute Deviation (MAD)50
Skewness0
Sum19900
Variance3316.6667
MonotonicityStrictly increasing
2024-04-21T01:31:53.867128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
138 1
 
0.5%
128 1
 
0.5%
129 1
 
0.5%
130 1
 
0.5%
131 1
 
0.5%
132 1
 
0.5%
133 1
 
0.5%
134 1
 
0.5%
135 1
 
0.5%
Other values (189) 189
95.0%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
199 1
0.5%
198 1
0.5%
197 1
0.5%
196 1
0.5%
195 1
0.5%
194 1
0.5%
193 1
0.5%
192 1
0.5%
191 1
0.5%
190 1
0.5%

구군별
Categorical

Distinct8
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
대구광역시북구
45 
대구광역시서구
33 
대구광역시달서구
31 
대구광역시달성군
31 
대구광역시동구
25 
Other values (3)
34 

Length

Max length8
Median length7
Mean length7.3969849
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구광역시북구 45
22.6%
대구광역시서구 33
16.6%
대구광역시달서구 31
15.6%
대구광역시달성군 31
15.6%
대구광역시동구 25
12.6%
대구광역시수성구 17
 
8.5%
대구광역시남구 12
 
6.0%
대구광역시중구 5
 
2.5%

Length

2024-04-21T01:31:54.112035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:31:54.321266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시북구 45
22.6%
대구광역시서구 33
16.6%
대구광역시달서구 31
15.6%
대구광역시달성군 31
15.6%
대구광역시동구 25
12.6%
대구광역시수성구 17
 
8.5%
대구광역시남구 12
 
6.0%
대구광역시중구 5
 
2.5%

시설명
Text

Distinct196
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-04-21T01:31:55.078573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length5.9396985
Min length2

Characters and Unicode

Total characters1182
Distinct characters220
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique194 ?
Unique (%)97.5%

Sample

1st row구세군대구지역아동센터
2nd row남문행복한홈스쿨지역아동센터
3rd row삼육지역아동센터
4th row동인지역아동센터
5th row지역아동센터 오뚝이교실
ValueCountFrequency (%)
한빛지역아동센터 3
 
1.5%
지역아동센터 2
 
1.0%
에덴지역아동센터 2
 
1.0%
다사랑 2
 
1.0%
화원지역아동센터 1
 
0.5%
화동지역아동센터 1
 
0.5%
상동지역아동센터 1
 
0.5%
구세군대구지역아동센터 1
 
0.5%
비전숲지역아동센터 1
 
0.5%
파동지역아동센터 1
 
0.5%
Other values (188) 188
92.6%
2024-04-21T01:31:56.076232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 109
 
9.2%
아 104
 
8.8%
지 102
 
8.6%
터 102
 
8.6%
역 98
 
8.3%
센 97
 
8.2%
대 14
 
1.2%
나 14
 
1.2%
구 14
 
1.2%
이 13
 
1.1%
Other values (210) 515
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1172
99.2%
Space Separator 5
 
0.4%
Uppercase Letter 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 109
 
9.3%
아 104
 
8.9%
지 102
 
8.7%
터 102
 
8.7%
역 98
 
8.4%
센 97
 
8.3%
대 14
 
1.2%
나 14
 
1.2%
구 14
 
1.2%
이 13
 
1.1%
Other values (204) 505
43.1%
Uppercase Letter
ValueCountFrequency (%)
D 1
20.0%
C 1
20.0%
U 1
20.0%
H 1
20.0%
L 1
20.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1172
99.2%
Common 5
 
0.4%
Latin 5
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 109
 
9.3%
아 104
 
8.9%
지 102
 
8.7%
터 102
 
8.7%
역 98
 
8.4%
센 97
 
8.3%
대 14
 
1.2%
나 14
 
1.2%
구 14
 
1.2%
이 13
 
1.1%
Other values (204) 505
43.1%
Latin
ValueCountFrequency (%)
D 1
20.0%
C 1
20.0%
U 1
20.0%
H 1
20.0%
L 1
20.0%
Common
ValueCountFrequency (%)
5
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1172
99.2%
ASCII 10
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 109
 
9.3%
아 104
 
8.9%
지 102
 
8.7%
터 102
 
8.7%
역 98
 
8.4%
센 97
 
8.3%
대 14
 
1.2%
나 14
 
1.2%
구 14
 
1.2%
이 13
 
1.1%
Other values (204) 505
43.1%
ASCII
ValueCountFrequency (%)
5
50.0%
D 1
 
10.0%
C 1
 
10.0%
U 1
 
10.0%
H 1
 
10.0%
L 1
 
10.0%

운영주체
Categorical

IMBALANCE 

Distinct10
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
개인
157 
종교단체
 
10
사회복지법인
 
9
법인
 
7
재단법인
 
6
Other values (5)
 
10

Length

Max length6
Median length2
Mean length2.3869347
Min length2

Unique

Unique4 ?
Unique (%)2.0%

Sample

1st row재단법인
2nd row종교단체
3rd row재단법인
4th row재단법인
5th row재단법인

Common Values

ValueCountFrequency (%)
개인 157
78.9%
종교단체 10
 
5.0%
사회복지법인 9
 
4.5%
법인 7
 
3.5%
재단법인 6
 
3.0%
교회 6
 
3.0%
종교법인 1
 
0.5%
복지법인 1
 
0.5%
비영리단체 1
 
0.5%
사단법인 1
 
0.5%

Length

2024-04-21T01:31:56.326658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:31:56.557472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 157
78.9%
종교단체 10
 
5.0%
사회복지법인 9
 
4.5%
법인 7
 
3.5%
재단법인 6
 
3.0%
교회 6
 
3.0%
종교법인 1
 
0.5%
복지법인 1
 
0.5%
비영리단체 1
 
0.5%
사단법인 1
 
0.5%

운영주체명
Text

Distinct192
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-04-21T01:31:57.635449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length3
Mean length3.8592965
Min length2

Characters and Unicode

Total characters768
Distinct characters177
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique186 ?
Unique (%)93.5%

Sample

1st row구세군유지재단
2nd row기독교대한감리회남문교회
3rd row삼육재단
4th row사회복지법인진각복지재단
5th row남산복지재단
ValueCountFrequency (%)
김경숙 3
 
1.5%
우봉재단 2
 
1.0%
곽순주 2
 
1.0%
기독교대한감리회유지재단 2
 
1.0%
박진현 2
 
1.0%
박시철 2
 
1.0%
이은숙 1
 
0.5%
구세군유지재단 1
 
0.5%
장묘숙 1
 
0.5%
김기숙 1
 
0.5%
Other values (184) 184
91.5%
2024-04-21T01:31:59.166566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 37
 
4.8%
이 26
 
3.4%
영 23
 
3.0%
숙 22
 
2.9%
재 21
 
2.7%
정 21
 
2.7%
단 17
 
2.2%
지 17
 
2.2%
회 15
 
2.0%
희 14
 
1.8%
Other values (167) 555
72.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 754
98.2%
Close Punctuation 4
 
0.5%
Open Punctuation 4
 
0.5%
Uppercase Letter 3
 
0.4%
Space Separator 2
 
0.3%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 37
 
4.9%
이 26
 
3.4%
영 23
 
3.1%
숙 22
 
2.9%
재 21
 
2.8%
정 21
 
2.8%
단 17
 
2.3%
지 17
 
2.3%
회 15
 
2.0%
희 14
 
1.9%
Other values (160) 541
71.8%
Uppercase Letter
ValueCountFrequency (%)
D 1
33.3%
B 1
33.3%
G 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 755
98.3%
Common 10
 
1.3%
Latin 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 37
 
4.9%
이 26
 
3.4%
영 23
 
3.0%
숙 22
 
2.9%
재 21
 
2.8%
정 21
 
2.8%
단 17
 
2.3%
지 17
 
2.3%
회 15
 
2.0%
희 14
 
1.9%
Other values (161) 542
71.8%
Common
ValueCountFrequency (%)
) 4
40.0%
( 4
40.0%
2
20.0%
Latin
ValueCountFrequency (%)
D 1
33.3%
B 1
33.3%
G 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 754
98.2%
ASCII 13
 
1.7%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 37
 
4.9%
이 26
 
3.4%
영 23
 
3.1%
숙 22
 
2.9%
재 21
 
2.8%
정 21
 
2.8%
단 17
 
2.3%
지 17
 
2.3%
회 15
 
2.0%
희 14
 
1.9%
Other values (160) 541
71.8%
ASCII
ValueCountFrequency (%)
) 4
30.8%
( 4
30.8%
2
15.4%
D 1
 
7.7%
B 1
 
7.7%
G 1
 
7.7%
None
ValueCountFrequency (%)
㈜ 1
100.0%

시설장
Text

Distinct195
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-04-21T01:32:00.344380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters597
Distinct characters122
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique191 ?
Unique (%)96.0%

Sample

1st row배선숙
2nd row최옥숙
3rd row한윤희
4th row한경희
5th row김서현
ValueCountFrequency (%)
김은영 2
 
1.0%
김경숙 2
 
1.0%
김유미 2
 
1.0%
김미경 2
 
1.0%
이은숙 1
 
0.5%
이동숙 1
 
0.5%
최향숙 1
 
0.5%
배선숙 1
 
0.5%
서진현 1
 
0.5%
이미자 1
 
0.5%
Other values (187) 187
93.0%
2024-04-21T01:32:01.703437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 49
 
8.2%
영 28
 
4.7%
숙 28
 
4.7%
이 26
 
4.4%
미 24
 
4.0%
정 23
 
3.9%
희 21
 
3.5%
경 16
 
2.7%
선 15
 
2.5%
은 14
 
2.3%
Other values (112) 353
59.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 595
99.7%
Space Separator 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 49
 
8.2%
영 28
 
4.7%
숙 28
 
4.7%
이 26
 
4.4%
미 24
 
4.0%
정 23
 
3.9%
희 21
 
3.5%
경 16
 
2.7%
선 15
 
2.5%
은 14
 
2.4%
Other values (111) 351
59.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 595
99.7%
Common 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 49
 
8.2%
영 28
 
4.7%
숙 28
 
4.7%
이 26
 
4.4%
미 24
 
4.0%
정 23
 
3.9%
희 21
 
3.5%
경 16
 
2.7%
선 15
 
2.5%
은 14
 
2.4%
Other values (111) 351
59.0%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 595
99.7%
ASCII 2
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 49
 
8.2%
영 28
 
4.7%
숙 28
 
4.7%
이 26
 
4.4%
미 24
 
4.0%
정 23
 
3.9%
희 21
 
3.5%
경 16
 
2.7%
선 15
 
2.5%
은 14
 
2.4%
Other values (111) 351
59.0%
ASCII
ValueCountFrequency (%)
2
100.0%

정원
Real number (ℝ)

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.894472
Minimum15
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-21T01:32:01.921960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile19
Q125
median29
Q329
95-th percentile38
Maximum49
Range34
Interquartile range (IQR)4

Descriptive statistics

Standard deviation6.0781044
Coefficient of variation (CV)0.21789637
Kurtosis0.84909739
Mean27.894472
Median Absolute Deviation (MAD)4
Skewness0.33255874
Sum5551
Variance36.943353
MonotonicityNot monotonic
2024-04-21T01:32:02.132706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
29 86
43.2%
19 38
19.1%
25 19
 
9.5%
35 15
 
7.5%
33 5
 
2.5%
34 4
 
2.0%
36 3
 
1.5%
38 3
 
1.5%
27 3
 
1.5%
26 2
 
1.0%
Other values (14) 21
 
10.6%
ValueCountFrequency (%)
15 2
 
1.0%
19 38
19.1%
21 1
 
0.5%
23 1
 
0.5%
24 2
 
1.0%
25 19
 
9.5%
26 2
 
1.0%
27 3
 
1.5%
28 2
 
1.0%
29 86
43.2%
ValueCountFrequency (%)
49 2
 
1.0%
45 1
 
0.5%
44 1
 
0.5%
41 1
 
0.5%
40 1
 
0.5%
39 2
 
1.0%
38 3
 
1.5%
36 3
 
1.5%
35 15
7.5%
34 4
 
2.0%

현원
Real number (ℝ)

Distinct33
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.934673
Minimum0
Maximum44
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-21T01:32:02.353918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16
Q123
median26
Q329
95-th percentile36
Maximum44
Range44
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.5173237
Coefficient of variation (CV)0.2512977
Kurtosis0.80763953
Mean25.934673
Median Absolute Deviation (MAD)3
Skewness-0.31751693
Sum5161
Variance42.475509
MonotonicityNot monotonic
2024-04-21T01:32:02.564942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
29 36
18.1%
26 17
 
8.5%
27 13
 
6.5%
25 12
 
6.0%
24 12
 
6.0%
19 11
 
5.5%
23 10
 
5.0%
28 9
 
4.5%
34 8
 
4.0%
17 8
 
4.0%
Other values (23) 63
31.7%
ValueCountFrequency (%)
0 1
 
0.5%
8 1
 
0.5%
12 1
 
0.5%
13 1
 
0.5%
14 1
 
0.5%
15 4
 
2.0%
16 7
3.5%
17 8
4.0%
18 7
3.5%
19 11
5.5%
ValueCountFrequency (%)
44 1
 
0.5%
41 1
 
0.5%
40 2
 
1.0%
39 1
 
0.5%
38 2
 
1.0%
37 2
 
1.0%
36 2
 
1.0%
35 6
3.0%
34 8
4.0%
33 6
3.0%

미취학_초중고
Text

Distinct178
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-04-21T01:32:03.455407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length10.547739
Min length2

Characters and Unicode

Total characters2099
Distinct characters23
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique160 ?
Unique (%)80.4%

Sample

1st row.미취학 2, 초 16, 중 8, 고 4
2nd row.초 25, 중 6, 고 2
3rd row.초 9, 중 5, 고 3
4th row.미취학 1, 초 14, 중 1, 고 1
5th row.초 22, 중 12, 고 2
ValueCountFrequency (%)
초 50
 
8.3%
중 46
 
7.6%
미취학1 24
 
4.0%
고1 22
 
3.6%
중3 20
 
3.3%
중5 19
 
3.1%
중1 17
 
2.8%
고 15
 
2.5%
1 15
 
2.5%
중2 14
 
2.3%
Other values (85) 364
60.1%
2024-04-21T01:32:04.622799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
408
19.4%
, 292
13.9%
1 205
9.8%
초 198
9.4%
중 181
8.6%
2 161
 
7.7%
. 114
 
5.4%
3 79
 
3.8%
고 61
 
2.9%
4 54
 
2.6%
Other values (13) 346
16.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 694
33.1%
Other Letter 591
28.2%
Space Separator 408
19.4%
Other Punctuation 406
19.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 205
29.5%
2 161
23.2%
3 79
 
11.4%
4 54
 
7.8%
5 46
 
6.6%
6 39
 
5.6%
9 32
 
4.6%
7 31
 
4.5%
8 27
 
3.9%
0 20
 
2.9%
Other Letter
ValueCountFrequency (%)
초 198
33.5%
중 181
30.6%
고 61
 
10.3%
미 48
 
8.1%
학 48
 
8.1%
취 48
 
8.1%
명 3
 
0.5%
무 2
 
0.3%
휴 1
 
0.2%
업 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 292
71.9%
. 114
 
28.1%
Space Separator
ValueCountFrequency (%)
408
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1508
71.8%
Hangul 591
 
28.2%

Most frequent character per script

Common
ValueCountFrequency (%)
408
27.1%
, 292
19.4%
1 205
13.6%
2 161
 
10.7%
. 114
 
7.6%
3 79
 
5.2%
4 54
 
3.6%
5 46
 
3.1%
6 39
 
2.6%
9 32
 
2.1%
Other values (3) 78
 
5.2%
Hangul
ValueCountFrequency (%)
초 198
33.5%
중 181
30.6%
고 61
 
10.3%
미 48
 
8.1%
학 48
 
8.1%
취 48
 
8.1%
명 3
 
0.5%
무 2
 
0.3%
휴 1
 
0.2%
업 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1508
71.8%
Hangul 591
 
28.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
408
27.1%
, 292
19.4%
1 205
13.6%
2 161
 
10.7%
. 114
 
7.6%
3 79
 
5.2%
4 54
 
3.6%
5 46
 
3.1%
6 39
 
2.6%
9 32
 
2.1%
Other values (3) 78
 
5.2%
Hangul
ValueCountFrequency (%)
초 198
33.5%
중 181
30.6%
고 61
 
10.3%
미 48
 
8.1%
학 48
 
8.1%
취 48
 
8.1%
명 3
 
0.5%
무 2
 
0.3%
휴 1
 
0.2%
업 1
 
0.2%

등록일
Date

Distinct181
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2003-02-01 00:00:00
Maximum2019-04-19 00:00:00
2024-04-21T01:32:04.853729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:32:05.091371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지
Text

UNIQUE 

Distinct199
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-04-21T01:32:06.074973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length32
Mean length21.331658
Min length10

Characters and Unicode

Total characters4245
Distinct characters199
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique199 ?
Unique (%)100.0%

Sample

1st row대구광역시 중구 국채보상로 558-1(종로1가, 성내2동)
2nd row대구광역시 중구 2·28길 32-19(남산동, 남산1동)
3rd row대구광역시 중구 국채보상로 688-11(동인동2가, 동인동)
4th row대구광역시 중구 국채보상로143길 72(동인동3가, 동인동)
5th row대구광역시 중구 관덕정길 16(남산동, 남산2동)
ValueCountFrequency (%)
대구광역시 50
 
6.5%
북구 45
 
5.9%
2층 34
 
4.4%
달서구 31
 
4.0%
동구 24
 
3.1%
수성구 17
 
2.2%
대구시 17
 
2.2%
다사읍 9
 
1.2%
화원읍 8
 
1.0%
3층 8
 
1.0%
Other values (417) 526
68.4%
2024-04-21T01:32:07.331197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
571
 
13.5%
동 243
 
5.7%
구 214
 
5.0%
1 213
 
5.0%
로 188
 
4.4%
( 174
 
4.1%
) 174
 
4.1%
2 172
 
4.1%
길 129
 
3.0%
3 115
 
2.7%
Other values (189) 2052
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2244
52.9%
Decimal Number 923
21.7%
Space Separator 571
 
13.5%
Open Punctuation 174
 
4.1%
Close Punctuation 174
 
4.1%
Other Punctuation 109
 
2.6%
Dash Punctuation 49
 
1.2%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 243
 
10.8%
구 214
 
9.5%
로 188
 
8.4%
길 129
 
5.7%
대 109
 
4.9%
층 76
 
3.4%
시 71
 
3.2%
서 55
 
2.5%
북 54
 
2.4%
역 52
 
2.3%
Other values (170) 1053
46.9%
Decimal Number
ValueCountFrequency (%)
1 213
23.1%
2 172
18.6%
3 115
12.5%
4 94
10.2%
0 64
 
6.9%
6 60
 
6.5%
5 59
 
6.4%
7 51
 
5.5%
8 50
 
5.4%
9 45
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 96
88.1%
. 9
 
8.3%
/ 3
 
2.8%
· 1
 
0.9%
Space Separator
ValueCountFrequency (%)
571
100.0%
Open Punctuation
ValueCountFrequency (%)
( 174
100.0%
Close Punctuation
ValueCountFrequency (%)
) 174
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2244
52.9%
Common 2000
47.1%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 243
 
10.8%
구 214
 
9.5%
로 188
 
8.4%
길 129
 
5.7%
대 109
 
4.9%
층 76
 
3.4%
시 71
 
3.2%
서 55
 
2.5%
북 54
 
2.4%
역 52
 
2.3%
Other values (170) 1053
46.9%
Common
ValueCountFrequency (%)
571
28.5%
1 213
 
10.7%
( 174
 
8.7%
) 174
 
8.7%
2 172
 
8.6%
3 115
 
5.8%
, 96
 
4.8%
4 94
 
4.7%
0 64
 
3.2%
6 60
 
3.0%
Other values (8) 267
13.4%
Latin
ValueCountFrequency (%)
C 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2244
52.9%
ASCII 2000
47.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
571
28.5%
1 213
 
10.7%
( 174
 
8.7%
) 174
 
8.7%
2 172
 
8.6%
3 115
 
5.8%
, 96
 
4.8%
4 94
 
4.7%
0 64
 
3.2%
6 60
 
3.0%
Other values (8) 267
13.4%
Hangul
ValueCountFrequency (%)
동 243
 
10.8%
구 214
 
9.5%
로 188
 
8.4%
길 129
 
5.7%
대 109
 
4.9%
층 76
 
3.4%
시 71
 
3.2%
서 55
 
2.5%
북 54
 
2.4%
역 52
 
2.3%
Other values (170) 1053
46.9%
None
ValueCountFrequency (%)
· 1
100.0%

전화번호
Text

UNIQUE 

Distinct199
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-04-21T01:32:08.193084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.090452
Min length12

Characters and Unicode

Total characters2406
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

Unique199 ?
Unique (%)100.0%

Sample

1st row053-255-6195
2nd row053-425-9511
3rd row053-253-2799
4th row053-256-3940
5th row053-257-1288
ValueCountFrequency (%)
053-255-6195 1
 
0.5%
053-634-0131 1
 
0.5%
053-784-0540 1
 
0.5%
053-768-1920 1
 
0.5%
070-7787-6421 1
 
0.5%
070-8289-0734 1
 
0.5%
053-292-5117 1
 
0.5%
053-784-0230 1
 
0.5%
053-761-2540 1
 
0.5%
070-4064-7970 1
 
0.5%
Other values (189) 189
95.0%
2024-04-21T01:32:09.288460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 398
16.5%
5 354
14.7%
3 341
14.2%
0 335
13.9%
7 159
 
6.6%
2 152
 
6.3%
6 151
 
6.3%
9 150
 
6.2%
1 141
 
5.9%
8 118
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2008
83.5%
Dash Punctuation 398
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 354
17.6%
3 341
17.0%
0 335
16.7%
7 159
7.9%
2 152
7.6%
6 151
7.5%
9 150
7.5%
1 141
 
7.0%
8 118
 
5.9%
4 107
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 398
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2406
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 398
16.5%
5 354
14.7%
3 341
14.2%
0 335
13.9%
7 159
 
6.6%
2 152
 
6.3%
6 151
 
6.3%
9 150
 
6.2%
1 141
 
5.9%
8 118
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2406
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 398
16.5%
5 354
14.7%
3 341
14.2%
0 335
13.9%
7 159
 
6.6%
2 152
 
6.3%
6 151
 
6.3%
9 150
 
6.2%
1 141
 
5.9%
8 118
 
4.9%

종사자
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2
155 
3
43 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row4
2nd row3
3rd row2
4th row2
5th row3

Common Values

ValueCountFrequency (%)
2 155
77.9%
3 43
 
21.6%
4 1
 
0.5%

Length

2024-04-21T01:32:09.513948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:32:09.689075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 155
77.9%
3 43
 
21.6%
4 1
 
0.5%

지원여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size327.0 B
True
194 
False
 
5
ValueCountFrequency (%)
True 194
97.5%
False 5
 
2.5%
2024-04-21T01:32:09.847278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설규모(제곱미터)
Real number (ℝ)

Distinct177
Distinct (%)89.4%
Missing1
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean125.47846
Minimum67.99
Maximum361
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-21T01:32:10.039782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum67.99
5-th percentile84.579
Q198.925
median114.5
Q3140.8725
95-th percentile205.635
Maximum361
Range293.01
Interquartile range (IQR)41.9475

Descriptive statistics

Standard deviation43.228284
Coefficient of variation (CV)0.34450761
Kurtosis7.7722709
Mean125.47846
Median Absolute Deviation (MAD)19.685
Skewness2.2698389
Sum24844.735
Variance1868.6845
MonotonicityNot monotonic
2024-04-21T01:32:10.384439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
135.0 3
 
1.5%
103.0 3
 
1.5%
114.0 3
 
1.5%
116.23 2
 
1.0%
130.0 2
 
1.0%
90.58 2
 
1.0%
170.0 2
 
1.0%
93.0 2
 
1.0%
112.0 2
 
1.0%
199.0 2
 
1.0%
Other values (167) 175
87.9%
ValueCountFrequency (%)
67.99 1
0.5%
71.34 1
0.5%
75.2 1
0.5%
76.1 1
0.5%
77.75 1
0.5%
83.02 1
0.5%
83.12 1
0.5%
84.0 1
0.5%
84.25 1
0.5%
84.46 1
0.5%
ValueCountFrequency (%)
361.0 1
0.5%
349.0 1
0.5%
271.44 1
0.5%
248.6 1
0.5%
238.5 1
0.5%
231.0 1
0.5%
230.36 1
0.5%
213.5 1
0.5%
212.0 1
0.5%
207.08 1
0.5%

기본운영비_인건비(월)
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)5.6%
Missing3
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean5464.2194
Minimum0
Maximum7190
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-21T01:32:10.746114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4840
Q14880
median5160
Q35270
95-th percentile7190
Maximum7190
Range7190
Interquartile range (IQR)390

Descriptive statistics

Standard deviation973.5865
Coefficient of variation (CV)0.17817485
Kurtosis4.3154202
Mean5464.2194
Median Absolute Deviation (MAD)280
Skewness0.12857528
Sum1070987
Variance947870.66
MonotonicityNot monotonic
2024-04-21T01:32:11.116347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
5160 68
34.2%
4840 33
16.6%
4880 32
16.1%
7190 28
14.1%
5270 14
 
7.0%
7130 12
 
6.0%
4580 3
 
1.5%
6700 3
 
1.5%
0 1
 
0.5%
4997 1
 
0.5%
(Missing) 3
 
1.5%
ValueCountFrequency (%)
0 1
 
0.5%
4580 3
 
1.5%
4730 1
 
0.5%
4840 33
16.6%
4880 32
16.1%
4997 1
 
0.5%
5160 68
34.2%
5270 14
 
7.0%
6700 3
 
1.5%
7130 12
 
6.0%
ValueCountFrequency (%)
7190 28
14.1%
7130 12
 
6.0%
6700 3
 
1.5%
5270 14
 
7.0%
5160 68
34.2%
4997 1
 
0.5%
4880 32
16.1%
4840 33
16.6%
4730 1
 
0.5%
4580 3
 
1.5%

특수목적형(월)
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
159 
0
23 
609
17 

Length

Max length4
Median length4
Mean length3.5678392
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row609
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 159
79.9%
0 23
 
11.6%
609 17
 
8.5%

Length

2024-04-21T01:32:11.543975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:32:11.882264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 159
79.9%
0 23
 
11.6%
609 17
 
8.5%

토요운영(월)
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
112 
304
66 
0
21 

Length

Max length4
Median length4
Mean length3.3517588
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row304

Common Values

ValueCountFrequency (%)
<NA> 112
56.3%
304 66
33.2%
0 21
 
10.6%

Length

2024-04-21T01:32:12.265624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:32:12.605300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 112
56.3%
304 66
33.2%
0 21
 
10.6%

우수센터(년)
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)3.7%
Missing11
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean2387.7926
Minimum0
Maximum3590
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-21T01:32:12.904200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1150
Q12370
median2370
Q32428
95-th percentile3590
Maximum3590
Range3590
Interquartile range (IQR)58

Descriptive statistics

Standard deviation661.53232
Coefficient of variation (CV)0.27704765
Kurtosis1.1466402
Mean2387.7926
Median Absolute Deviation (MAD)58
Skewness-0.29557811
Sum448905
Variance437625.01
MonotonicityNot monotonic
2024-04-21T01:32:13.257586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2370 75
37.7%
2428 44
22.1%
3590 26
 
13.1%
1150 25
 
12.6%
2484 12
 
6.0%
2485 5
 
2.5%
0 1
 
0.5%
(Missing) 11
 
5.5%
ValueCountFrequency (%)
0 1
 
0.5%
1150 25
 
12.6%
2370 75
37.7%
2428 44
22.1%
2484 12
 
6.0%
2485 5
 
2.5%
3590 26
 
13.1%
ValueCountFrequency (%)
3590 26
 
13.1%
2485 5
 
2.5%
2484 12
 
6.0%
2428 44
22.1%
2370 75
37.7%
1150 25
 
12.6%
0 1
 
0.5%

환경개선(년)
Real number (ℝ)

MISSING 

Distinct68
Distinct (%)90.7%
Missing124
Missing (%)62.3%
Infinite0
Infinite (%)0.0%
Mean7467.8
Minimum0
Maximum30000
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-21T01:32:13.652665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3287.6
Q15383.5
median6640
Q38725
95-th percentile12750
Maximum30000
Range30000
Interquartile range (IQR)3341.5

Descriptive statistics

Standard deviation4322.546
Coefficient of variation (CV)0.57882456
Kurtosis11.378322
Mean7467.8
Median Absolute Deviation (MAD)1443
Skewness2.8517493
Sum560085
Variance18684404
MonotonicityNot monotonic
2024-04-21T01:32:14.083791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10000 7
 
3.5%
6640 2
 
1.0%
5360 1
 
0.5%
8880 1
 
0.5%
5724 1
 
0.5%
3608 1
 
0.5%
3398 1
 
0.5%
8110 1
 
0.5%
6451 1
 
0.5%
7689 1
 
0.5%
Other values (58) 58
29.1%
(Missing) 124
62.3%
ValueCountFrequency (%)
0 1
0.5%
2530 1
0.5%
2830 1
0.5%
3030 1
0.5%
3398 1
0.5%
3608 1
0.5%
3770 1
0.5%
3832 1
0.5%
3850 1
0.5%
4020 1
0.5%
ValueCountFrequency (%)
30000 1
 
0.5%
21279 1
 
0.5%
20836 1
 
0.5%
18070 1
 
0.5%
10470 1
 
0.5%
10000 7
3.5%
9960 1
 
0.5%
9844 1
 
0.5%
9770 1
 
0.5%
9540 1
 
0.5%

종사자수당_인건비(월)
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
400
155 
600
39 
<NA>
 
3
800
 
1
0
 
1

Length

Max length4
Median length3
Mean length3.0050251
Min length1

Unique

Unique2 ?
Unique (%)1.0%

Sample

1st row800
2nd row600
3rd row400
4th row400
5th row600

Common Values

ValueCountFrequency (%)
400 155
77.9%
600 39
 
19.6%
<NA> 3
 
1.5%
800 1
 
0.5%
0 1
 
0.5%

Length

2024-04-21T01:32:14.507128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:32:14.842419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
400 155
77.9%
600 39
 
19.6%
na 3
 
1.5%
800 1
 
0.5%
0 1
 
0.5%

특화프로그램(년)
Categorical

Distinct6
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
1050
104 
650
40 
1370
37 
3050
12 
<NA>
 
5

Length

Max length4
Median length4
Mean length3.7839196
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row1370
2nd row1370
3rd row650
4th row650
5th row1370

Common Values

ValueCountFrequency (%)
1050 104
52.3%
650 40
 
20.1%
1370 37
 
18.6%
3050 12
 
6.0%
<NA> 5
 
2.5%
0 1
 
0.5%

Length

2024-04-21T01:32:15.101892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:32:15.519147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1050 104
52.3%
650 40
 
20.1%
1370 37
 
18.6%
3050 12
 
6.0%
na 5
 
2.5%
0 1
 
0.5%

난방비(년)
Categorical

Distinct5
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
400
124 
200
31 
600
23 
<NA>
20 
0
 
1

Length

Max length4
Median length3
Mean length3.0904523
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row600
2nd row600
3rd row600
4th row600
5th row600

Common Values

ValueCountFrequency (%)
400 124
62.3%
200 31
 
15.6%
600 23
 
11.6%
<NA> 20
 
10.1%
0 1
 
0.5%

Length

2024-04-21T01:32:15.730754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:32:15.924681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
400 124
62.3%
200 31
 
15.6%
600 23
 
11.6%
na 20
 
10.1%
0 1
 
0.5%

급식비(월)
Real number (ℝ)

Distinct120
Distinct (%)60.6%
Missing1
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean2632.0253
Minimum0
Maximum4570
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-21T01:32:16.144974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1529.5
Q12032.5
median2730
Q33080
95-th percentile3709.5
Maximum4570
Range4570
Interquartile range (IQR)1047.5

Descriptive statistics

Standard deviation737.50023
Coefficient of variation (CV)0.28020257
Kurtosis0.45692904
Mean2632.0253
Median Absolute Deviation (MAD)470
Skewness-0.075568884
Sum521141
Variance543906.59
MonotonicityNot monotonic
2024-04-21T01:32:16.388554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2900 17
 
8.5%
1900 8
 
4.0%
1980 5
 
2.5%
1870 4
 
2.0%
2730 4
 
2.0%
3500 4
 
2.0%
3080 4
 
2.0%
2520 4
 
2.0%
1760 4
 
2.0%
2090 4
 
2.0%
Other values (110) 140
70.4%
ValueCountFrequency (%)
0 1
0.5%
840 1
0.5%
1020 1
0.5%
1140 1
0.5%
1210 1
0.5%
1320 2
1.0%
1365 1
0.5%
1430 1
0.5%
1470 1
0.5%
1540 1
0.5%
ValueCountFrequency (%)
4570 2
1.0%
4550 1
0.5%
4420 1
0.5%
4400 1
0.5%
4125 1
0.5%
4000 1
0.5%
3780 1
0.5%
3740 1
0.5%
3735 1
0.5%
3705 2
1.0%

Sample

연번구군별시설명운영주체운영주체명시설장정원현원미취학_초중고등록일소재지전화번호종사자지원여부시설규모(제곱미터)기본운영비_인건비(월)특수목적형(월)토요운영(월)우수센터(년)환경개선(년)종사자수당_인건비(월)특화프로그램(년)난방비(년)급식비(월)
01대구광역시중구구세군대구지역아동센터재단법인구세군유지재단배선숙3330.미취학 2, 초 16, 중 8, 고 42005-03-30대구광역시 중구 국채보상로 558-1(종로1가, 성내2동)053-255-61954Y119.317190609<NA>2485<NA>80013706003000
12대구광역시중구남문행복한홈스쿨지역아동센터종교단체기독교대한감리회남문교회최옥숙3533.초 25, 중 6, 고 22009-07-10대구광역시 중구 2·28길 32-19(남산동, 남산1동)053-425-95113Y178.567190<NA><NA>24853000060013706003300
23대구광역시중구삼육지역아동센터재단법인삼육재단한윤희1917.초 9, 중 5, 고 32011-11-11대구광역시 중구 국채보상로 688-11(동인동2가, 동인동)053-253-27992Y86.074880<NA><NA>2485<NA>4006506001650
34대구광역시중구동인지역아동센터재단법인사회복지법인진각복지재단한경희1917.미취학 1, 초 14, 중 1, 고 12010-07-16대구광역시 중구 국채보상로143길 72(동인동3가, 동인동)053-256-39402Y155.04880<NA><NA>2485<NA>4006506001650
45대구광역시중구지역아동센터 오뚝이교실재단법인남산복지재단김서현4536.초 22, 중 12, 고 22006-08-29대구광역시 중구 관덕정길 16(남산동, 남산2동)053-257-12883Y200.37190<NA>3042485<NA>60013706003600
56대구광역시동구DCU개인장현숙장현숙2525.초20, 중4, 고12007-04-03동구 경대로 52(신암1동)070-8716-87312Y146.04840003590<NA>40010504002415
67대구광역시동구꿈터개인남인옥정영해2924.초19, 중52010-06-30동구 동촌로 159(동촌동)053-981-25212Y90.04840002370<NA>40010504002775
78대구광역시동구늘푸른개인강선옥강은주2523.초18, 중52013-01-10동촌로284 2층(방촌동)053-983-38832Y109.04840002370<NA>40010504002520
89대구광역시동구대구입석사회복지법인세이브더칠드런이혜진1919.초192010-12-17동구 아양로 291(동촌동),3층053-982-16012Y99.04580002370<NA>4006504002055
910대구광역시동구동구사회복지법인어린이재단박초롱2927.초24, 중32005-04-16동구 율하동로 26길 67(안심3,4동)053-963-31152Y103.04840002370<NA>40010504003045
연번구군별시설명운영주체운영주체명시설장정원현원미취학_초중고등록일소재지전화번호종사자지원여부시설규모(제곱미터)기본운영비_인건비(월)특수목적형(월)토요운영(월)우수센터(년)환경개선(년)종사자수당_인건비(월)특화프로그램(년)난방비(년)급식비(월)
189190대구광역시달성군해바라기지역아동센터개인김유미김유미3534미취학1, 초28, 중52011-11-29다사읍 서재로30길17 서재보성타운상가3층302호053-585-86633Y133.617130<NA><NA>2370497060013704003360
190191대구광역시달성군햇살푸른지역아동센터개인곽미숙송희숙2924초20, 중42007-09-21화원읍 인흥길 11053-634-61102Y155.05270<NA><NA>1150<NA>40010504002310
191192대구광역시달성군행복한아이들지역아동센터개인조기석조환석3838초24, 중13, 고12009-03-18화원읍 비슬로 523길 3-30053-634-66803Y139.367130<NA><NA>2370536060013704003145
192193대구광역시달성군화동지역아동센터개인곽순주김춘혜2827초13, 중142011-12-15화원읍 성암로1길 69, 201호(화원주차빌딩)053-634-00862Y102.05270<NA>3042370<NA>40010504003150
193194대구광역시달성군화원지역아동센터개인김세일심인선2929초24, 중52012-11-15화원읍 비슬로516길 22053-635-65312Y130.05270<NA><NA>2370<NA>4001050<NA>2905
194195대구광역시달성군희망나눔지역아동센터법인대구가톨릭사회복지회김미경2928미취학1,초26, 중12009-08-05논공읍 논공로697-9070-4088-12152Y165.065270<NA><NA>3590<NA>40010504002520
195196대구광역시달성군달성지역아동센터개인이은희이은희150휴업2004-10-15화원읍 성천로28길 19-13053-290-63062N93.244730<NA><NA><NA><NA>400<NA><NA><NA>
196197대구광역시달성군포산홈스쿨 지역아동센터개인이주복배갑선1918초15, 중32018-08-08현풍동로 47-1, 101호(제일탑스빌)053-616-79482N84.88<NA><NA><NA><NA><NA><NA><NA><NA>1470
197198대구광역시달성군구지나래지역아동센터개인정혜선정혜선1915초152019-01-16구지면 창리 1439-8, 노블랜드 301호053-615-43332N106.5<NA><NA><NA><NA><NA><NA><NA><NA>1575
198199대구광역시달성군꿈그린지역아동센터개인김진국이석규158미취학1,초6,중12019-04-19논공읍 논공로 17길 20053-615-79822N170.0<NA><NA><NA><NA><NA><NA><NA><NA>840