Overview

Dataset statistics

Number of variables27
Number of observations178
Missing cells689
Missing cells (%)14.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory39.6 KiB
Average record size in memory227.7 B

Variable types

Categorical6
Numeric11
Text5
DateTime5

Dataset

Description대구광역시_수성구_어린이집_20190816
Author대구광역시 수성구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15009700&dataSetDetailId=150097002d270ec0ebe71&provdMethod=FILE

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
폐지일자 has constant value ""Constant
데이터기준일자 has constant value ""Constant
운영현황 is highly imbalanced (87.7%)Imbalance
제공서비스 is highly imbalanced (59.2%)Imbalance
어린이집팩스번호 has 31 (17.4%) missing valuesMissing
홈페이지주소 has 133 (74.7%) missing valuesMissing
휴지시작일자 has 174 (97.8%) missing valuesMissing
휴지종료일자 has 174 (97.8%) missing valuesMissing
폐지일자 has 177 (99.4%) missing valuesMissing
어린이집코드 has unique valuesUnique
어린이집명 has unique valuesUnique
상세주소 has unique valuesUnique
어린이집전화번호 has unique valuesUnique
놀이터수 has 77 (43.3%) zerosZeros
보육교직원수 has 3 (1.7%) zerosZeros
현원수 has 5 (2.8%) zerosZeros

Reproduction

Analysis started2023-12-10 18:51:46.636560
Analysis finished2023-12-10 18:51:47.233947
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
대구광역시
178 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구광역시 178
100.0%

Length

2023-12-11T03:51:47.314933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:51:47.448924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 178
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
수성구
178 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수성구 178
100.0%

Length

2023-12-11T03:51:47.601525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:51:47.740814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수성구 178
100.0%

어린이집코드
Real number (ℝ)

UNIQUE 

Distinct178
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8413629 × 109
Minimum1.0482305 × 109
Maximum8.8480009 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T03:51:47.873815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.0482305 × 109
5-th percentile2.0126758 × 109
Q15.0280054 × 109
median5.0280152 × 109
Q35.0282118 × 109
95-th percentile6.2640005 × 109
Maximum8.8480009 × 109
Range7.7997704 × 109
Interquartile range (IQR)206335.5

Descriptive statistics

Standard deviation1.1313351 × 109
Coefficient of variation (CV)0.23368112
Kurtosis4.0940295
Mean4.8413629 × 109
Median Absolute Deviation (MAD)10865.5
Skewness-0.84884551
Sum8.617626 × 1011
Variance1.2799191 × 1018
MonotonicityNot monotonic
2023-12-11T03:51:48.079738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5028009533 1
 
0.6%
5028009265 1
 
0.6%
5028005804 1
 
0.6%
5028010914 1
 
0.6%
5028009834 1
 
0.6%
5028014564 1
 
0.6%
5028010855 1
 
0.6%
5028020028 1
 
0.6%
6258000403 1
 
0.6%
5028005726 1
 
0.6%
Other values (168) 168
94.4%
ValueCountFrequency (%)
1048230535 1
0.6%
1198016792 1
0.6%
1458000867 1
0.6%
1528000583 1
0.6%
1568001283 1
0.6%
1648000252 1
0.6%
1718000416 1
0.6%
1768000615 1
0.6%
1988001496 1
0.6%
2017030144 1
0.6%
ValueCountFrequency (%)
8848000905 1
0.6%
8028001085 1
0.6%
7898001313 1
0.6%
7718000822 1
0.6%
7558000887 1
0.6%
7478200288 1
0.6%
6888000331 1
0.6%
6638000759 1
0.6%
6298001025 1
0.6%
6258000403 1
0.6%

어린이집명
Text

UNIQUE 

Distinct178
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-11T03:51:48.739878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length7.7022472
Min length6

Characters and Unicode

Total characters1371
Distinct characters218
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique178 ?
Unique (%)100.0%

Sample

1st rowDGB아이꿈터어린이집
2nd rowktcs대구어린이집
3rd row계성어린이집
4th row고산어린이집
5th row공룡어린이집
ValueCountFrequency (%)
어린이집 4
 
2.2%
사회복지법인 3
 
1.6%
dgb아이꿈터어린이집 1
 
0.5%
예그리나어린이집 1
 
0.5%
아이숲어린이집 1
 
0.5%
예알어린이집 1
 
0.5%
아이위시어린이집 1
 
0.5%
애플트리어린이집 1
 
0.5%
엄마품어린이집 1
 
0.5%
연두어린이집 1
 
0.5%
Other values (171) 171
91.9%
2023-12-11T03:51:49.222174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
193
 
14.1%
183
 
13.3%
180
 
13.1%
178
 
13.0%
25
 
1.8%
16
 
1.2%
16
 
1.2%
15
 
1.1%
13
 
0.9%
13
 
0.9%
Other values (208) 539
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1354
98.8%
Space Separator 8
 
0.6%
Lowercase Letter 5
 
0.4%
Uppercase Letter 3
 
0.2%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
193
 
14.3%
183
 
13.5%
180
 
13.3%
178
 
13.1%
25
 
1.8%
16
 
1.2%
16
 
1.2%
15
 
1.1%
13
 
1.0%
13
 
1.0%
Other values (198) 522
38.6%
Lowercase Letter
ValueCountFrequency (%)
s 1
20.0%
c 1
20.0%
t 1
20.0%
k 1
20.0%
e 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
33.3%
B 1
33.3%
G 1
33.3%
Space Separator
ValueCountFrequency (%)
8
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1354
98.8%
Common 9
 
0.7%
Latin 8
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
193
 
14.3%
183
 
13.5%
180
 
13.3%
178
 
13.1%
25
 
1.8%
16
 
1.2%
16
 
1.2%
15
 
1.1%
13
 
1.0%
13
 
1.0%
Other values (198) 522
38.6%
Latin
ValueCountFrequency (%)
D 1
12.5%
s 1
12.5%
c 1
12.5%
t 1
12.5%
k 1
12.5%
B 1
12.5%
e 1
12.5%
G 1
12.5%
Common
ValueCountFrequency (%)
8
88.9%
3 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1354
98.8%
ASCII 17
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
193
 
14.3%
183
 
13.5%
180
 
13.3%
178
 
13.1%
25
 
1.8%
16
 
1.2%
16
 
1.2%
15
 
1.1%
13
 
1.0%
13
 
1.0%
Other values (198) 522
38.6%
ASCII
ValueCountFrequency (%)
8
47.1%
D 1
 
5.9%
s 1
 
5.9%
c 1
 
5.9%
t 1
 
5.9%
k 1
 
5.9%
3 1
 
5.9%
B 1
 
5.9%
e 1
 
5.9%
G 1
 
5.9%
Distinct7
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
민간
71 
가정
48 
사회복지법인
25 
국공립
21 
직장
Other values (2)
 
5

Length

Max length6
Median length2
Mean length2.747191
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row직장
2nd row직장
3rd row사회복지법인
4th row국공립
5th row민간

Common Values

ValueCountFrequency (%)
민간 71
39.9%
가정 48
27.0%
사회복지법인 25
 
14.0%
국공립 21
 
11.8%
직장 8
 
4.5%
법인·단체 4
 
2.2%
협동 1
 
0.6%

Length

2023-12-11T03:51:49.422735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:51:49.609807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간 71
39.9%
가정 48
27.0%
사회복지법인 25
 
14.0%
국공립 21
 
11.8%
직장 8
 
4.5%
법인·단체 4
 
2.2%
협동 1
 
0.6%

운영현황
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Y
175 
A
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
Y 175
98.3%
A 3
 
1.7%

Length

2023-12-11T03:51:49.768754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:51:49.913025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 175
98.3%
a 3
 
1.7%

우편번호
Real number (ℝ)

Distinct137
Distinct (%)77.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60825.64
Minimum42000
Maximum706945
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T03:51:50.069730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42000
5-th percentile42009.85
Q142078.25
median42173
Q342256.5
95-th percentile42285.15
Maximum706945
Range664945
Interquartile range (IQR)178.25

Descriptive statistics

Standard deviation110119.5
Coefficient of variation (CV)1.8104125
Kurtosis31.541463
Mean60825.64
Median Absolute Deviation (MAD)86.5
Skewness5.7608276
Sum10826964
Variance1.2126304 × 1010
MonotonicityNot monotonic
2023-12-11T03:51:50.290518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42270 5
 
2.8%
42262 4
 
2.2%
42273 4
 
2.2%
42025 3
 
1.7%
42272 2
 
1.1%
42221 2
 
1.1%
42074 2
 
1.1%
42039 2
 
1.1%
42164 2
 
1.1%
42127 2
 
1.1%
Other values (127) 150
84.3%
ValueCountFrequency (%)
42000 1
0.6%
42001 2
1.1%
42002 1
0.6%
42004 2
1.1%
42007 1
0.6%
42008 1
0.6%
42009 1
0.6%
42010 1
0.6%
42012 1
0.6%
42013 1
0.6%
ValueCountFrequency (%)
706945 1
0.6%
706935 1
0.6%
706931 1
0.6%
706777 1
0.6%
706140 1
0.6%
42288 1
0.6%
42287 2
1.1%
42286 1
0.6%
42285 1
0.6%
42283 1
0.6%

상세주소
Text

UNIQUE 

Distinct178
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-11T03:51:50.703038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length42
Mean length29.719101
Min length16

Characters and Unicode

Total characters5290
Distinct characters171
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

Unique178 ?
Unique (%)100.0%

Sample

1st row대구광역시 수성구 달구벌대로 2271-5
2nd row대구광역시 수성구 동대구로 375
3rd row대구광역시 수성구 범어로 157 (범어동)
4th row대구광역시 수성구 시지로 11 (시지동)
5th row대구광역시 수성구 만촌로 132-1
ValueCountFrequency (%)
대구광역시 178
 
18.3%
수성구 178
 
18.3%
범어동 13
 
1.3%
만촌동 11
 
1.1%
103동 9
 
0.9%
지산동 8
 
0.8%
천을로 8
 
0.8%
청수로 7
 
0.7%
70 7
 
0.7%
102동 7
 
0.7%
Other values (383) 546
56.2%
2023-12-11T03:51:51.406310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
794
 
15.0%
387
 
7.3%
242
 
4.6%
1 237
 
4.5%
236
 
4.5%
213
 
4.0%
205
 
3.9%
204
 
3.9%
184
 
3.5%
178
 
3.4%
Other values (161) 2410
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3187
60.2%
Decimal Number 996
 
18.8%
Space Separator 794
 
15.0%
Open Punctuation 115
 
2.2%
Close Punctuation 115
 
2.2%
Other Punctuation 41
 
0.8%
Dash Punctuation 40
 
0.8%
Lowercase Letter 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
387
 
12.1%
242
 
7.6%
236
 
7.4%
213
 
6.7%
205
 
6.4%
204
 
6.4%
184
 
5.8%
178
 
5.6%
178
 
5.6%
104
 
3.3%
Other values (144) 1056
33.1%
Decimal Number
ValueCountFrequency (%)
1 237
23.8%
2 149
15.0%
0 128
12.9%
5 96
9.6%
3 95
9.5%
4 81
 
8.1%
6 81
 
8.1%
7 59
 
5.9%
9 39
 
3.9%
8 31
 
3.1%
Space Separator
ValueCountFrequency (%)
794
100.0%
Open Punctuation
ValueCountFrequency (%)
( 115
100.0%
Close Punctuation
ValueCountFrequency (%)
) 115
100.0%
Other Punctuation
ValueCountFrequency (%)
, 41
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3187
60.2%
Common 2101
39.7%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
387
 
12.1%
242
 
7.6%
236
 
7.4%
213
 
6.7%
205
 
6.4%
204
 
6.4%
184
 
5.8%
178
 
5.6%
178
 
5.6%
104
 
3.3%
Other values (144) 1056
33.1%
Common
ValueCountFrequency (%)
794
37.8%
1 237
 
11.3%
2 149
 
7.1%
0 128
 
6.1%
( 115
 
5.5%
) 115
 
5.5%
5 96
 
4.6%
3 95
 
4.5%
4 81
 
3.9%
6 81
 
3.9%
Other values (5) 210
 
10.0%
Latin
ValueCountFrequency (%)
e 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3187
60.2%
ASCII 2103
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
794
37.8%
1 237
 
11.3%
2 149
 
7.1%
0 128
 
6.1%
( 115
 
5.5%
) 115
 
5.5%
5 96
 
4.6%
3 95
 
4.5%
4 81
 
3.9%
6 81
 
3.9%
Other values (7) 212
 
10.1%
Hangul
ValueCountFrequency (%)
387
 
12.1%
242
 
7.6%
236
 
7.4%
213
 
6.7%
205
 
6.4%
204
 
6.4%
184
 
5.8%
178
 
5.6%
178
 
5.6%
104
 
3.3%
Other values (144) 1056
33.1%
Distinct178
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-11T03:51:51.832227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters2136
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

Unique178 ?
Unique (%)100.0%

Sample

1st row053-742-5206
2nd row053-743-0113
3rd row053-755-2573
4th row053-791-8978
5th row053-752-6794
ValueCountFrequency (%)
053-742-5206 1
 
0.6%
053-766-9517 1
 
0.6%
053-793-5450 1
 
0.6%
053-756-9318 1
 
0.6%
053-793-0101 1
 
0.6%
053-783-1727 1
 
0.6%
053-782-4255 1
 
0.6%
053-218-0216 1
 
0.6%
053-793-5957 1
 
0.6%
053-762-5508 1
 
0.6%
Other values (168) 168
94.4%
2023-12-11T03:51:52.483686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 356
16.7%
5 305
14.3%
3 269
12.6%
7 261
12.2%
0 259
12.1%
6 129
 
6.0%
1 126
 
5.9%
4 116
 
5.4%
9 111
 
5.2%
2 106
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1780
83.3%
Dash Punctuation 356
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 305
17.1%
3 269
15.1%
7 261
14.7%
0 259
14.6%
6 129
7.2%
1 126
7.1%
4 116
 
6.5%
9 111
 
6.2%
2 106
 
6.0%
8 98
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 356
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2136
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 356
16.7%
5 305
14.3%
3 269
12.6%
7 261
12.2%
0 259
12.1%
6 129
 
6.0%
1 126
 
5.9%
4 116
 
5.4%
9 111
 
5.2%
2 106
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2136
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 356
16.7%
5 305
14.3%
3 269
12.6%
7 261
12.2%
0 259
12.1%
6 129
 
6.0%
1 126
 
5.9%
4 116
 
5.4%
9 111
 
5.2%
2 106
 
5.0%
Distinct147
Distinct (%)100.0%
Missing31
Missing (%)17.4%
Memory size1.5 KiB
2023-12-11T03:51:52.955655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.027211
Min length12

Characters and Unicode

Total characters1768
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

Unique147 ?
Unique (%)100.0%

Sample

1st row053-751-6565
2nd row053-742-0113
3rd row053-744-3773
4th row053-793-0665
5th row053-241-6794
ValueCountFrequency (%)
053-793-3221 1
 
0.7%
053-745-6662 1
 
0.7%
053-751-4479 1
 
0.7%
053-781-5312 1
 
0.7%
053-218-0216 1
 
0.7%
053-793-5957 1
 
0.7%
053-242-5508 1
 
0.7%
070-4369-7019 1
 
0.7%
053-794-2999 1
 
0.7%
053-764-2453 1
 
0.7%
Other values (137) 137
93.2%
2023-12-11T03:51:53.614015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 294
16.6%
5 238
13.5%
3 235
13.3%
0 216
12.2%
7 202
11.4%
6 119
6.7%
4 104
 
5.9%
1 100
 
5.7%
2 99
 
5.6%
9 86
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1474
83.4%
Dash Punctuation 294
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 238
16.1%
3 235
15.9%
0 216
14.7%
7 202
13.7%
6 119
8.1%
4 104
7.1%
1 100
6.8%
2 99
6.7%
9 86
 
5.8%
8 75
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 294
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1768
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 294
16.6%
5 238
13.5%
3 235
13.3%
0 216
12.2%
7 202
11.4%
6 119
6.7%
4 104
 
5.9%
1 100
 
5.7%
2 99
 
5.6%
9 86
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1768
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 294
16.6%
5 238
13.5%
3 235
13.3%
0 216
12.2%
7 202
11.4%
6 119
6.7%
4 104
 
5.9%
1 100
 
5.7%
2 99
 
5.6%
9 86
 
4.9%

홈페이지주소
Text

MISSING 

Distinct45
Distinct (%)100.0%
Missing133
Missing (%)74.7%
Memory size1.5 KiB
2023-12-11T03:51:53.969731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length25
Mean length19.733333
Min length2

Characters and Unicode

Total characters888
Distinct characters63
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)100.0%

Sample

1st rowwww.puruni.com
2nd rowhttp://cafe.daum.net/ktcsi
3rd rowcafe.daum.net/pinokids
4th rowhttp://cafe. daum.net/7644777
5th rowcafe.daum.net/dg9955
ValueCountFrequency (%)
다음카페 2
 
4.2%
kma756@hanmail.net 1
 
2.1%
hwani96.com 1
 
2.1%
시지초록색연필어린이집 1
 
2.1%
yehyun.mypepe.com 1
 
2.1%
www.온유어린이집.com 1
 
2.1%
http://wv.happyihome.com 1
 
2.1%
bkshappy2008@naver.com 1
 
2.1%
ysj701@daum.net 1
 
2.1%
dlgmlaud9393@naver.com 1
 
2.1%
Other values (37) 37
77.1%
2023-12-11T03:51:54.635309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 71
 
8.0%
a 61
 
6.9%
e 54
 
6.1%
t 53
 
6.0%
n 45
 
5.1%
m 42
 
4.7%
c 39
 
4.4%
/ 34
 
3.8%
o 34
 
3.8%
d 33
 
3.7%
Other values (53) 422
47.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 626
70.5%
Other Punctuation 131
 
14.8%
Decimal Number 87
 
9.8%
Other Letter 39
 
4.4%
Space Separator 3
 
0.3%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 61
 
9.7%
e 54
 
8.6%
t 53
 
8.5%
n 45
 
7.2%
m 42
 
6.7%
c 39
 
6.2%
o 34
 
5.4%
d 33
 
5.3%
w 31
 
5.0%
h 30
 
4.8%
Other values (14) 204
32.6%
Other Letter
ValueCountFrequency (%)
4
 
10.3%
3
 
7.7%
3
 
7.7%
3
 
7.7%
3
 
7.7%
3
 
7.7%
3
 
7.7%
2
 
5.1%
1
 
2.6%
1
 
2.6%
Other values (13) 13
33.3%
Decimal Number
ValueCountFrequency (%)
0 16
18.4%
1 14
16.1%
7 12
13.8%
8 9
10.3%
5 9
10.3%
3 8
9.2%
9 6
 
6.9%
6 5
 
5.7%
4 4
 
4.6%
2 4
 
4.6%
Other Punctuation
ValueCountFrequency (%)
. 71
54.2%
/ 34
26.0%
@ 14
 
10.7%
: 12
 
9.2%
Space Separator
ValueCountFrequency (%)
3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 626
70.5%
Common 223
 
25.1%
Hangul 39
 
4.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 61
 
9.7%
e 54
 
8.6%
t 53
 
8.5%
n 45
 
7.2%
m 42
 
6.7%
c 39
 
6.2%
o 34
 
5.4%
d 33
 
5.3%
w 31
 
5.0%
h 30
 
4.8%
Other values (14) 204
32.6%
Hangul
ValueCountFrequency (%)
4
 
10.3%
3
 
7.7%
3
 
7.7%
3
 
7.7%
3
 
7.7%
3
 
7.7%
3
 
7.7%
2
 
5.1%
1
 
2.6%
1
 
2.6%
Other values (13) 13
33.3%
Common
ValueCountFrequency (%)
. 71
31.8%
/ 34
15.2%
0 16
 
7.2%
@ 14
 
6.3%
1 14
 
6.3%
7 12
 
5.4%
: 12
 
5.4%
8 9
 
4.0%
5 9
 
4.0%
3 8
 
3.6%
Other values (6) 24
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 849
95.6%
Hangul 39
 
4.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 71
 
8.4%
a 61
 
7.2%
e 54
 
6.4%
t 53
 
6.2%
n 45
 
5.3%
m 42
 
4.9%
c 39
 
4.6%
/ 34
 
4.0%
o 34
 
4.0%
d 33
 
3.9%
Other values (30) 383
45.1%
Hangul
ValueCountFrequency (%)
4
 
10.3%
3
 
7.7%
3
 
7.7%
3
 
7.7%
3
 
7.7%
3
 
7.7%
3
 
7.7%
2
 
5.1%
1
 
2.6%
1
 
2.6%
Other values (13) 13
33.3%

보육실수
Real number (ℝ)

Distinct13
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.3426966
Minimum3
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T03:51:54.920794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median4.5
Q36.75
95-th percentile10
Maximum15
Range12
Interquartile range (IQR)3.75

Descriptive statistics

Standard deviation2.5799044
Coefficient of variation (CV)0.48288432
Kurtosis2.093565
Mean5.3426966
Median Absolute Deviation (MAD)1.5
Skewness1.4756466
Sum951
Variance6.6559068
MonotonicityNot monotonic
2023-12-11T03:51:55.174719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3 48
27.0%
4 41
23.0%
5 30
16.9%
6 14
 
7.9%
7 12
 
6.7%
9 12
 
6.7%
8 8
 
4.5%
10 5
 
2.8%
15 2
 
1.1%
11 2
 
1.1%
Other values (3) 4
 
2.2%
ValueCountFrequency (%)
3 48
27.0%
4 41
23.0%
5 30
16.9%
6 14
 
7.9%
7 12
 
6.7%
8 8
 
4.5%
9 12
 
6.7%
10 5
 
2.8%
11 2
 
1.1%
12 2
 
1.1%
ValueCountFrequency (%)
15 2
 
1.1%
14 1
 
0.6%
13 1
 
0.6%
12 2
 
1.1%
11 2
 
1.1%
10 5
 
2.8%
9 12
6.7%
8 8
4.5%
7 12
6.7%
6 14
7.9%

보육실 면적
Real number (ℝ)

Distinct123
Distinct (%)69.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean199.35955
Minimum50
Maximum2106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T03:51:55.375133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile59.85
Q181.75
median127
Q3206.75
95-th percentile532.95
Maximum2106
Range2056
Interquartile range (IQR)125

Descriptive statistics

Standard deviation227.68135
Coefficient of variation (CV)1.1420639
Kurtosis31.390242
Mean199.35955
Median Absolute Deviation (MAD)57
Skewness4.679242
Sum35486
Variance51838.797
MonotonicityNot monotonic
2023-12-11T03:51:55.646438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70 8
 
4.5%
60 6
 
3.4%
68 4
 
2.2%
120 4
 
2.2%
72 4
 
2.2%
85 4
 
2.2%
84 3
 
1.7%
79 3
 
1.7%
51 2
 
1.1%
108 2
 
1.1%
Other values (113) 138
77.5%
ValueCountFrequency (%)
50 1
 
0.6%
51 2
 
1.1%
53 2
 
1.1%
54 1
 
0.6%
55 1
 
0.6%
57 1
 
0.6%
59 1
 
0.6%
60 6
3.4%
61 2
 
1.1%
63 1
 
0.6%
ValueCountFrequency (%)
2106 1
0.6%
1388 1
0.6%
916 1
0.6%
784 1
0.6%
655 2
1.1%
624 1
0.6%
551 1
0.6%
544 1
0.6%
531 1
0.6%
511 1
0.6%

놀이터수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.88764045
Minimum0
Maximum5
Zeros77
Zeros (%)43.3%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T03:51:55.895676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile3
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.0077463
Coefficient of variation (CV)1.1353091
Kurtosis1.4571089
Mean0.88764045
Median Absolute Deviation (MAD)1
Skewness1.2330047
Sum158
Variance1.0155526
MonotonicityNot monotonic
2023-12-11T03:51:56.073469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 77
43.3%
1 63
35.4%
2 23
 
12.9%
3 12
 
6.7%
4 2
 
1.1%
5 1
 
0.6%
ValueCountFrequency (%)
0 77
43.3%
1 63
35.4%
2 23
 
12.9%
3 12
 
6.7%
4 2
 
1.1%
5 1
 
0.6%
ValueCountFrequency (%)
5 1
 
0.6%
4 2
 
1.1%
3 12
 
6.7%
2 23
 
12.9%
1 63
35.4%
0 77
43.3%

CCTV설치수
Real number (ℝ)

Distinct24
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.8651685
Minimum0
Maximum37
Zeros1
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T03:51:56.289342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q14
median7
Q311
95-th percentile21
Maximum37
Range37
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.0219767
Coefficient of variation (CV)0.67928508
Kurtosis4.7831782
Mean8.8651685
Median Absolute Deviation (MAD)3
Skewness1.8985884
Sum1578
Variance36.264204
MonotonicityNot monotonic
2023-12-11T03:51:56.470809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
4 45
25.3%
8 22
12.4%
5 21
11.8%
16 11
 
6.2%
13 11
 
6.2%
7 10
 
5.6%
11 9
 
5.1%
6 9
 
5.1%
9 7
 
3.9%
10 6
 
3.4%
Other values (14) 27
15.2%
ValueCountFrequency (%)
0 1
 
0.6%
2 1
 
0.6%
3 3
 
1.7%
4 45
25.3%
5 21
11.8%
6 9
 
5.1%
7 10
 
5.6%
8 22
12.4%
9 7
 
3.9%
10 6
 
3.4%
ValueCountFrequency (%)
37 1
 
0.6%
34 1
 
0.6%
33 1
 
0.6%
27 1
 
0.6%
23 2
 
1.1%
21 4
 
2.2%
20 2
 
1.1%
18 2
 
1.1%
16 11
6.2%
15 2
 
1.1%

보육교직원수
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.9044944
Minimum0
Maximum34
Zeros3
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T03:51:56.731503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median9
Q313
95-th percentile23
Maximum34
Range34
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.4595116
Coefficient of variation (CV)0.65217985
Kurtosis2.040254
Mean9.9044944
Median Absolute Deviation (MAD)4
Skewness1.3201891
Sum1763
Variance41.72529
MonotonicityNot monotonic
2023-12-11T03:51:56.959243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
6 19
 
10.7%
10 17
 
9.6%
9 15
 
8.4%
4 14
 
7.9%
5 14
 
7.9%
7 13
 
7.3%
8 11
 
6.2%
13 11
 
6.2%
11 8
 
4.5%
2 8
 
4.5%
Other values (18) 48
27.0%
ValueCountFrequency (%)
0 3
 
1.7%
1 2
 
1.1%
2 8
4.5%
3 3
 
1.7%
4 14
7.9%
5 14
7.9%
6 19
10.7%
7 13
7.3%
8 11
6.2%
9 15
8.4%
ValueCountFrequency (%)
34 1
 
0.6%
32 2
1.1%
31 1
 
0.6%
25 3
1.7%
24 1
 
0.6%
23 3
1.7%
21 2
1.1%
20 2
1.1%
19 4
2.2%
18 4
2.2%

정원수
Real number (ℝ)

Distinct77
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.926966
Minimum12
Maximum280
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T03:51:57.244011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile18
Q120
median39.5
Q362.75
95-th percentile159.3
Maximum280
Range268
Interquartile range (IQR)42.75

Descriptive statistics

Standard deviation48.201557
Coefficient of variation (CV)0.87755724
Kurtosis5.7764061
Mean54.926966
Median Absolute Deviation (MAD)19.5
Skewness2.2585049
Sum9777
Variance2323.3901
MonotonicityNot monotonic
2023-12-11T03:51:57.555091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 26
 
14.6%
19 11
 
6.2%
49 10
 
5.6%
99 6
 
3.4%
39 6
 
3.4%
45 5
 
2.8%
40 5
 
2.8%
27 5
 
2.8%
18 4
 
2.2%
36 4
 
2.2%
Other values (67) 96
53.9%
ValueCountFrequency (%)
12 1
 
0.6%
13 3
 
1.7%
15 1
 
0.6%
16 1
 
0.6%
17 1
 
0.6%
18 4
 
2.2%
19 11
6.2%
20 26
14.6%
24 1
 
0.6%
25 2
 
1.1%
ValueCountFrequency (%)
280 1
0.6%
260 1
0.6%
247 1
0.6%
210 1
0.6%
204 1
0.6%
192 1
0.6%
170 1
0.6%
162 1
0.6%
161 1
0.6%
159 1
0.6%

현원수
Real number (ℝ)

ZEROS 

Distinct79
Distinct (%)44.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.713483
Minimum0
Maximum251
Zeros5
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T03:51:57.937038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q115
median29.5
Q349
95-th percentile111.3
Maximum251
Range251
Interquartile range (IQR)34

Descriptive statistics

Standard deviation36.837281
Coefficient of variation (CV)0.92757617
Kurtosis8.6593419
Mean39.713483
Median Absolute Deviation (MAD)16.5
Skewness2.4257478
Sum7069
Variance1356.9852
MonotonicityNot monotonic
2023-12-11T03:51:58.294647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 8
 
4.5%
15 7
 
3.9%
13 7
 
3.9%
8 6
 
3.4%
42 5
 
2.8%
11 5
 
2.8%
0 5
 
2.8%
28 5
 
2.8%
27 5
 
2.8%
55 5
 
2.8%
Other values (69) 120
67.4%
ValueCountFrequency (%)
0 5
2.8%
1 2
 
1.1%
3 3
1.7%
4 1
 
0.6%
5 1
 
0.6%
7 1
 
0.6%
8 6
3.4%
10 4
2.2%
11 5
2.8%
12 2
 
1.1%
ValueCountFrequency (%)
251 1
0.6%
211 1
0.6%
173 1
0.6%
146 1
0.6%
132 1
0.6%
122 1
0.6%
120 1
0.6%
117 1
0.6%
113 1
0.6%
111 1
0.6%

위도
Real number (ℝ)

Distinct171
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.844071
Minimum35.81237
Maximum35.876965
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T03:51:58.572927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.81237
5-th percentile35.819171
Q135.83353
median35.84277
Q335.857742
95-th percentile35.868179
Maximum35.876965
Range0.06459509
Interquartile range (IQR)0.024211632

Descriptive statistics

Standard deviation0.016113857
Coefficient of variation (CV)0.00044955433
Kurtosis-0.97949219
Mean35.844071
Median Absolute Deviation (MAD)0.01308468
Skewness0.014478275
Sum6380.2447
Variance0.0002596564
MonotonicityNot monotonic
2023-12-11T03:51:58.923448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.84054582 3
 
1.7%
35.84396095 3
 
1.7%
35.84031512 2
 
1.1%
35.816868 2
 
1.1%
35.8626035 2
 
1.1%
35.86135408 1
 
0.6%
35.83896282 1
 
0.6%
35.83573835 1
 
0.6%
35.82646494 1
 
0.6%
35.81811095 1
 
0.6%
Other values (161) 161
90.4%
ValueCountFrequency (%)
35.81237004 1
0.6%
35.8132806 1
0.6%
35.81378398 1
0.6%
35.81452461 1
0.6%
35.81517647 1
0.6%
35.816868 2
1.1%
35.81811095 1
0.6%
35.8190174 1
0.6%
35.81919768 1
0.6%
35.81928253 1
0.6%
ValueCountFrequency (%)
35.87696513 1
0.6%
35.87432346 1
0.6%
35.87402546 1
0.6%
35.87304727 1
0.6%
35.87055289 1
0.6%
35.86957537 1
0.6%
35.86925542 1
0.6%
35.86918035 1
0.6%
35.86852615 1
0.6%
35.86811722 1
0.6%

경도
Real number (ℝ)

Distinct171
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.64727
Minimum128.60825
Maximum128.72281
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T03:51:59.290820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.60825
5-th percentile128.61122
Q1128.62001
median128.63596
Q3128.65297
95-th percentile128.7123
Maximum128.72281
Range0.1145635
Interquartile range (IQR)0.03296205

Descriptive statistics

Standard deviation0.035508436
Coefficient of variation (CV)0.00027601391
Kurtosis-0.5837606
Mean128.64727
Median Absolute Deviation (MAD)0.0164928
Skewness0.96280804
Sum22899.214
Variance0.001260849
MonotonicityNot monotonic
2023-12-11T03:51:59.733498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.6312584 3
 
1.7%
128.638079 3
 
1.7%
128.715541 2
 
1.1%
128.6416656 2
 
1.1%
128.6135611 2
 
1.1%
128.6250238 1
 
0.6%
128.6969628 1
 
0.6%
128.7228118 1
 
0.6%
128.6330593 1
 
0.6%
128.6394613 1
 
0.6%
Other values (161) 161
90.4%
ValueCountFrequency (%)
128.6082483 1
0.6%
128.6086005 1
0.6%
128.609522 1
0.6%
128.6097591 1
0.6%
128.6098358 1
0.6%
128.6099309 1
0.6%
128.6100712 1
0.6%
128.6109135 1
0.6%
128.6111432 1
0.6%
128.6112328 1
0.6%
ValueCountFrequency (%)
128.7228118 1
0.6%
128.7222707 1
0.6%
128.7221286 1
0.6%
128.7211606 1
0.6%
128.7187891 1
0.6%
128.7178633 1
0.6%
128.715541 2
1.1%
128.7155212 1
0.6%
128.7117337 1
0.6%
128.7114938 1
0.6%
Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
운영
120 
미운영
58 

Length

Max length3
Median length2
Mean length2.3258427
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row미운영
2nd row미운영
3rd row운영
4th row운영
5th row운영

Common Values

ValueCountFrequency (%)
운영 120
67.4%
미운영 58
32.6%

Length

2023-12-11T03:52:00.117552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:00.385098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영 120
67.4%
미운영 58
32.6%
Distinct155
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum1982-06-01 00:00:00
Maximum2019-03-01 00:00:00
2023-12-11T03:52:00.602963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:52:00.907102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴지시작일자
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing174
Missing (%)97.8%
Memory size1.5 KiB
Minimum2009-12-17 00:00:00
Maximum2014-03-03 00:00:00
2023-12-11T03:52:01.099472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:52:01.289447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

휴지종료일자
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing174
Missing (%)97.8%
Memory size1.5 KiB
Minimum2010-11-10 00:00:00
Maximum2015-03-02 00:00:00
2023-12-11T03:52:01.457105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:52:02.020806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

폐지일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing177
Missing (%)99.4%
Memory size1.5 KiB
Minimum2008-09-18 00:00:00
Maximum2008-09-18 00:00:00
2023-12-11T03:52:02.166708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:52:02.315150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

제공서비스
Categorical

IMBALANCE 

Distinct7
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
일반
134 
시간연장형
33 
시간연장형+시간제보육
 
3
장애아전문
 
3
영아전담
 
2
Other values (2)
 
3

Length

Max length11
Median length2
Mean length2.8988764
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row일반
2nd row일반
3rd row일반
4th row시간연장형
5th row시간연장형

Common Values

ValueCountFrequency (%)
일반 134
75.3%
시간연장형 33
 
18.5%
시간연장형+시간제보육 3
 
1.7%
장애아전문 3
 
1.7%
영아전담 2
 
1.1%
일반+시간제보육 2
 
1.1%
장애아통합+시간연장형 1
 
0.6%

Length

2023-12-11T03:52:02.506109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:02.702534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 134
75.3%
시간연장형 33
 
18.5%
시간연장형+시간제보육 3
 
1.7%
장애아전문 3
 
1.7%
영아전담 2
 
1.1%
일반+시간제보육 2
 
1.1%
장애아통합+시간연장형 1
 
0.6%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2019-08-16 00:00:00
Maximum2019-08-16 00:00:00
2023-12-11T03:52:02.870315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:52:03.071383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

시도명시군구명어린이집코드어린이집명어린이집유형구분운영현황우편번호상세주소어린이집전화번호어린이집팩스번호홈페이지주소보육실수보육실 면적놀이터수CCTV설치수보육교직원수정원수현원수위도경도통학차량운영여부인가일자휴지시작일자휴지종료일자폐지일자제공서비스데이터기준일자
0대구광역시수성구5028009533DGB아이꿈터어린이집직장Y42007대구광역시 수성구 달구벌대로 2271-5053-742-5206053-751-6565www.puruni.com813882373116211735.860995128.610914미운영2008-02-28<NA><NA><NA>일반2019-08-16
1대구광역시수성구5028017407ktcs대구어린이집직장Y42013대구광역시 수성구 동대구로 375053-743-0113053-742-0113http://cafe.daum.net/ktcsi41331810353235.863938128.626255미운영2013-02-26<NA><NA><NA>일반2019-08-16
2대구광역시수성구5028208955계성어린이집사회복지법인Y42025대구광역시 수성구 범어로 157 (범어동)053-755-2573053-744-3773<NA>7342210191179935.863498128.635263운영1990-09-18<NA><NA><NA>일반2019-08-16
3대구광역시수성구7478200288고산어린이집국공립Y42252대구광역시 수성구 시지로 11 (시지동)053-791-8978053-793-0665<NA>522111811676635.842039128.692677운영1983-10-22<NA><NA><NA>시간연장형2019-08-16
4대구광역시수성구1988001496공룡어린이집민간Y42036대구광역시 수성구 만촌로 132-1053-752-6794053-241-6794<NA>61001219484435.870553128.641556운영1993-08-18<NA><NA><NA>시간연장형2019-08-16
5대구광역시수성구5088015033구립두산어린이집국공립Y42169대구광역시 수성구 들안로16길 45053-761-9866<NA><NA>81830169323135.838306128.617572운영2017-02-28<NA><NA><NA>일반2019-08-16
6대구광역시수성구1768000615구립마더베어어린이집국공립Y42033대구광역시 수성구 무열로39길 35-1053-756-7179053-743-7178<NA>512701610383835.873047128.646197운영2017-02-28<NA><NA><NA>일반2019-08-16
7대구광역시수성구3468000591구립몽촌어린이집국공립Y42196대구광역시 수성구 지범로25길 7-21053-784-3131<NA><NA>1020111315545335.825156128.637311미운영2017-02-28<NA><NA><NA>일반2019-08-16
8대구광역시수성구5608200212구립물망이어린이집국공립Y42112대구광역시 수성구 청수로 213 캐슬골드파크1단지복지관1층 (황금동)053-761-6008053-767-6008<NA>41990810494935.840546128.631258미운영2007-12-28<NA><NA><NA>시간연장형2019-08-16
9대구광역시수성구5538200102구립상화어린이집국공립Y42166대구광역시 수성구 수성로 71 (상동, 수성동일하이빌레이크시티)053-763-5885<NA><NA>41680611494435.830401128.608248미운영2015-12-18<NA><NA><NA>일반2019-08-16
시도명시군구명어린이집코드어린이집명어린이집유형구분운영현황우편번호상세주소어린이집전화번호어린이집팩스번호홈페이지주소보육실수보육실 면적놀이터수CCTV설치수보육교직원수정원수현원수위도경도통학차량운영여부인가일자휴지시작일자휴지종료일자폐지일자제공서비스데이터기준일자
168대구광역시수성구2398000691한신킨더리베어린이집민간Y42273대구광역시 수성구 달구벌대로669길 50 시지 한신휴플러스 104동053-795-2772<NA><NA>4135089403335.837939128.722271운영2014-09-16<NA><NA><NA>일반2019-08-16
169대구광역시수성구5028018217해솔어린이집민간Y42001대구광역시 수성구 들안로81길 27 (수성동4가)053-745-3355053-745-3360<NA>72074134401435.866191128.616771운영2007-01-08<NA><NA><NA>일반2019-08-16
170대구광역시수성구5058041930해피어린이집민간Y42270대구광역시 수성구 달구벌대로647길 26 (매호동)053-792-0474053-791-2632<NA>41731810454235.841111128.711734운영2003-04-12<NA><NA><NA>일반2019-08-16
171대구광역시수성구5028015355행복숲어린이집민간Y42185대구광역시 수성구 동대구로8길 45 (지산동)053-768-1238053-761-1237<NA>5148188443035.833936128.626432운영2007-03-13<NA><NA><NA>일반2019-08-16
172대구광역시수성구5028015132행복한영희어린이집가정Y42004대구광역시 수성구 수성로 412 101동 101호(수성동4가, 수성보성타운)053-741-6702<NA><NA>368047201735.862603128.613561미운영2008-12-30<NA><NA><NA>일반2019-08-16
173대구광역시수성구5028012533혜원어린이집가정Y42242대구광역시 수성구 범안로 40 205동 105호(범물동, 우방청아아파트)053-783-2941053-783-2941<NA>468044201235.816868128.641666운영2008-03-18<NA><NA><NA>일반2019-08-16
174대구광역시수성구5028221846홀트대구어린이집법인·단체Y42086대구광역시 수성구 달구벌대로488길 13 (범어동)053-746-7504053-756-0359holt-i.kidis.co.kr3118049443635.85762128.629691운영1996-09-24<NA><NA><NA>일반2019-08-16
175대구광역시수성구5028221282화니어린이집사회복지법인Y42175대구광역시 수성구 동대구로7길 14-14053-766-8532053-766-8533hwani96.com12414116251004835.83426128.622788운영1997-02-05<NA><NA><NA>장애아전문2019-08-16
176대구광역시수성구5028003257효동어린이집민간Y42143대구광역시 수성구 들안로40길 57 (황금동)053-766-5068053-766-5068https://blog.naver.com/ehdwn50685115167322835.848623128.61947운영1998-09-18<NA><NA><NA>일반2019-08-16
177대구광역시수성구5028017601효원어린이집가정Y42270대구광역시 수성구 욱수천로 133 108동 102호(사월동, 시지2차사월보성타운)053-792-4002053-794-4002<NA>4104156201835.840465128.715521미운영2003-12-02<NA><NA><NA>일반2019-08-16