Overview

Dataset statistics

Number of variables12
Number of observations255
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.0 KiB
Average record size in memory100.5 B

Variable types

Numeric4
Categorical4
Text3
DateTime1

Dataset

Description인천광역시 부평구 어린이집 현황 데이터는 어린이집 유형, 어린이집 명, 인가일, 통학차량 유무, 행정동, 주소등에 대한 데이터를 제공합니다.
Author인천광역시 부평구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15102596&srcSe=7661IVAWM27C61E190

Alerts

우편번호 is highly overall correlated with 행정동High correlation
정원 is highly overall correlated with 보육교직원현원High correlation
보육교직원현원 is highly overall correlated with 정원High correlation
어린이집유형 is highly overall correlated with 통학차량 운영High correlation
통학차량 운영 is highly overall correlated with 어린이집유형High correlation
행정동 is highly overall correlated with 우편번호High correlation
어린이집특성 is highly imbalanced (57.8%)Imbalance
연번 has unique valuesUnique
어린이집 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-18 04:58:45.982699
Analysis finished2024-03-18 04:58:48.109589
Duration2.13 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct255
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128
Minimum1
Maximum255
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-18T13:58:48.169059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.7
Q164.5
median128
Q3191.5
95-th percentile242.3
Maximum255
Range254
Interquartile range (IQR)127

Descriptive statistics

Standard deviation73.756356
Coefficient of variation (CV)0.57622153
Kurtosis-1.2
Mean128
Median Absolute Deviation (MAD)64
Skewness0
Sum32640
Variance5440
MonotonicityStrictly increasing
2024-03-18T13:58:48.277304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
2 1
 
0.4%
163 1
 
0.4%
164 1
 
0.4%
165 1
 
0.4%
166 1
 
0.4%
167 1
 
0.4%
168 1
 
0.4%
169 1
 
0.4%
170 1
 
0.4%
Other values (245) 245
96.1%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
255 1
0.4%
254 1
0.4%
253 1
0.4%
252 1
0.4%
251 1
0.4%
250 1
0.4%
249 1
0.4%
248 1
0.4%
247 1
0.4%
246 1
0.4%

어린이집유형
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
가정
110 
민간
89 
국공립
39 
직장
 
11
사회복지법인
 
4
Other values (2)
 
2

Length

Max length6
Median length2
Mean length2.2313725
Min length2

Unique

Unique2 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
가정 110
43.1%
민간 89
34.9%
국공립 39
 
15.3%
직장 11
 
4.3%
사회복지법인 4
 
1.6%
법인·단체등 1
 
0.4%
협동 1
 
0.4%

Length

2024-03-18T13:58:48.387979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T13:58:48.492758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가정 110
43.1%
민간 89
34.9%
국공립 39
 
15.3%
직장 11
 
4.3%
사회복지법인 4
 
1.6%
법인·단체등 1
 
0.4%
협동 1
 
0.4%

어린이집
Text

UNIQUE 

Distinct255
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-03-18T13:58:48.664553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length7.8352941
Min length6

Characters and Unicode

Total characters1998
Distinct characters253
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

Unique255 ?
Unique (%)100.0%

Sample

1st row2주공예능어린이집
2nd row4주공예능어린이집
3rd row5주공예능어린이집
4th rowA&E지혜어린이집
5th rowIBK 참! 좋은 어린이집
ValueCountFrequency (%)
어린이집 6
 
2.2%
2주공예능어린이집 1
 
0.4%
예사랑어린이집 1
 
0.4%
예크어린이집 1
 
0.4%
예찬어린이집 1
 
0.4%
예일몬테소리어린이집 1
 
0.4%
예은어린이집 1
 
0.4%
예원어린이집 1
 
0.4%
예솔어린이집 1
 
0.4%
예삐어린이집 1
 
0.4%
Other values (254) 254
94.4%
2024-03-18T13:58:49.190679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 281
 
14.1%
린 258
 
12.9%
어 255
 
12.8%
집 255
 
12.8%
아 28
 
1.4%
동 27
 
1.4%
부 26
 
1.3%
랑 26
 
1.3%
사 25
 
1.3%
예 22
 
1.1%
Other values (243) 795
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1945
97.3%
Decimal Number 22
 
1.1%
Space Separator 14
 
0.7%
Uppercase Letter 10
 
0.5%
Lowercase Letter 5
 
0.3%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 281
 
14.4%
린 258
 
13.3%
어 255
 
13.1%
집 255
 
13.1%
아 28
 
1.4%
동 27
 
1.4%
부 26
 
1.3%
랑 26
 
1.3%
사 25
 
1.3%
예 22
 
1.1%
Other values (225) 742
38.1%
Decimal Number
ValueCountFrequency (%)
2 7
31.8%
1 6
27.3%
3 5
22.7%
4 2
 
9.1%
5 1
 
4.5%
6 1
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
K 3
30.0%
S 2
20.0%
A 2
20.0%
B 1
 
10.0%
I 1
 
10.0%
E 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
t 2
40.0%
r 2
40.0%
a 1
20.0%
Other Punctuation
ValueCountFrequency (%)
! 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1945
97.3%
Common 38
 
1.9%
Latin 15
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 281
 
14.4%
린 258
 
13.3%
어 255
 
13.1%
집 255
 
13.1%
아 28
 
1.4%
동 27
 
1.4%
부 26
 
1.3%
랑 26
 
1.3%
사 25
 
1.3%
예 22
 
1.1%
Other values (225) 742
38.1%
Common
ValueCountFrequency (%)
14
36.8%
2 7
18.4%
1 6
15.8%
3 5
 
13.2%
4 2
 
5.3%
! 1
 
2.6%
5 1
 
2.6%
& 1
 
2.6%
6 1
 
2.6%
Latin
ValueCountFrequency (%)
K 3
20.0%
t 2
13.3%
r 2
13.3%
S 2
13.3%
A 2
13.3%
a 1
 
6.7%
B 1
 
6.7%
I 1
 
6.7%
E 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1945
97.3%
ASCII 53
 
2.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 281
 
14.4%
린 258
 
13.3%
어 255
 
13.1%
집 255
 
13.1%
아 28
 
1.4%
동 27
 
1.4%
부 26
 
1.3%
랑 26
 
1.3%
사 25
 
1.3%
예 22
 
1.1%
Other values (225) 742
38.1%
ASCII
ValueCountFrequency (%)
14
26.4%
2 7
13.2%
1 6
11.3%
3 5
 
9.4%
K 3
 
5.7%
t 2
 
3.8%
r 2
 
3.8%
S 2
 
3.8%
4 2
 
3.8%
A 2
 
3.8%
Other values (8) 8
15.1%

인가일
Date

Distinct221
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum1991-04-15 00:00:00
Maximum2023-03-01 00:00:00
2024-03-18T13:58:49.303196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:58:49.407498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

통학차량 운영
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
미운영
174 
운영(신고)
81 

Length

Max length6
Median length3
Mean length3.9529412
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row미운영
2nd row미운영
3rd row운영(신고)
4th row운영(신고)
5th row미운영

Common Values

ValueCountFrequency (%)
미운영 174
68.2%
운영(신고) 81
31.8%

Length

2024-03-18T13:58:49.549522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T13:58:49.643204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미운영 174
68.2%
운영(신고 81
31.8%

행정동
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
청천2동
25 
삼산1동
21 
부개3동
18 
삼산2동
16 
산곡2동
16 
Other values (17)
159 

Length

Max length4
Median length4
Mean length3.9686275
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row삼산1동
2nd row삼산1동
3rd row삼산1동
4th row부개3동
5th row부평5동

Common Values

ValueCountFrequency (%)
청천2동 25
 
9.8%
삼산1동 21
 
8.2%
부개3동 18
 
7.1%
삼산2동 16
 
6.3%
산곡2동 16
 
6.3%
부평1동 15
 
5.9%
갈산2동 14
 
5.5%
십정1동 14
 
5.5%
부평4동 12
 
4.7%
부개2동 12
 
4.7%
Other values (12) 92
36.1%

Length

2024-03-18T13:58:49.732119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
청천2동 25
 
9.8%
삼산1동 21
 
8.2%
부개3동 18
 
7.1%
삼산2동 16
 
6.3%
산곡2동 16
 
6.3%
부평1동 15
 
5.9%
갈산2동 14
 
5.5%
십정1동 14
 
5.5%
부평4동 12
 
4.7%
부개2동 12
 
4.7%
Other values (12) 92
36.1%

우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct92
Distinct (%)36.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21370.902
Minimum21304
Maximum21459
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-18T13:58:49.829602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21304
5-th percentile21312
Q121334
median21363
Q321401.5
95-th percentile21447.9
Maximum21459
Range155
Interquartile range (IQR)67.5

Descriptive statistics

Standard deviation42.892768
Coefficient of variation (CV)0.002007064
Kurtosis-0.93813994
Mean21370.902
Median Absolute Deviation (MAD)35
Skewness0.34152688
Sum5449580
Variance1839.7896
MonotonicityNot monotonic
2024-03-18T13:58:49.937853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21363 9
 
3.5%
21377 9
 
3.5%
21318 8
 
3.1%
21378 7
 
2.7%
21364 6
 
2.4%
21362 6
 
2.4%
21312 6
 
2.4%
21376 6
 
2.4%
21319 6
 
2.4%
21397 5
 
2.0%
Other values (82) 187
73.3%
ValueCountFrequency (%)
21304 2
 
0.8%
21305 1
 
0.4%
21307 2
 
0.8%
21308 1
 
0.4%
21309 2
 
0.8%
21311 2
 
0.8%
21312 6
2.4%
21313 5
2.0%
21316 1
 
0.4%
21317 2
 
0.8%
ValueCountFrequency (%)
21459 1
 
0.4%
21458 2
0.8%
21457 2
0.8%
21453 3
1.2%
21452 1
 
0.4%
21451 3
1.2%
21450 1
 
0.4%
21447 1
 
0.4%
21443 4
1.6%
21442 1
 
0.4%

주소
Text

Distinct254
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-03-18T13:58:50.226182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length42
Mean length37.419608
Min length15

Characters and Unicode

Total characters9542
Distinct characters202
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

Unique253 ?
Unique (%)99.2%

Sample

1st row인천광역시 부평구 부평북로 432 주공미래타운2단지 관리동(1층) (삼산동)
2nd row인천광역시 부평구 영성중로 57 주공미래타운4단지 관리동(1층) (삼산동)
3rd row인천광역시 부평구 영성중로 16 주공미래타운5단지 관리동(1층) (삼산동)
4th row인천광역시 부평구 충선로 101 (4층 건물전체) (부개동)
5th row인천광역시 부평구 부흥로 353 3층(부평동)
ValueCountFrequency (%)
인천광역시 255
 
15.1%
부평구 255
 
15.1%
건물전체 50
 
3.0%
부평동 33
 
1.9%
관리동(1층 23
 
1.4%
3층 22
 
1.3%
부개동 19
 
1.1%
산곡동 18
 
1.1%
삼산동 18
 
1.1%
4층 18
 
1.1%
Other values (492) 982
58.0%
2024-03-18T13:58:50.589664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1439
 
15.1%
1 530
 
5.6%
동 429
 
4.5%
부 428
 
4.5%
( 345
 
3.6%
) 345
 
3.6%
평 343
 
3.6%
천 301
 
3.2%
인 266
 
2.8%
역 260
 
2.7%
Other values (192) 4856
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5553
58.2%
Decimal Number 1674
 
17.5%
Space Separator 1439
 
15.1%
Open Punctuation 345
 
3.6%
Close Punctuation 345
 
3.6%
Other Punctuation 134
 
1.4%
Dash Punctuation 33
 
0.3%
Uppercase Letter 10
 
0.1%
Math Symbol 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 429
 
7.7%
부 428
 
7.7%
평 343
 
6.2%
천 301
 
5.4%
인 266
 
4.8%
역 260
 
4.7%
시 258
 
4.6%
구 257
 
4.6%
로 257
 
4.6%
광 256
 
4.6%
Other values (166) 2498
45.0%
Decimal Number
ValueCountFrequency (%)
1 530
31.7%
0 224
13.4%
2 215
12.8%
3 179
 
10.7%
4 144
 
8.6%
6 104
 
6.2%
7 84
 
5.0%
5 84
 
5.0%
9 56
 
3.3%
8 54
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
S 2
20.0%
K 2
20.0%
H 1
10.0%
L 1
10.0%
W 1
10.0%
E 1
10.0%
I 1
10.0%
V 1
10.0%
Other Punctuation
ValueCountFrequency (%)
, 113
84.3%
/ 20
 
14.9%
. 1
 
0.7%
Space Separator
ValueCountFrequency (%)
1439
100.0%
Open Punctuation
ValueCountFrequency (%)
( 345
100.0%
Close Punctuation
ValueCountFrequency (%)
) 345
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5553
58.2%
Common 3979
41.7%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 429
 
7.7%
부 428
 
7.7%
평 343
 
6.2%
천 301
 
5.4%
인 266
 
4.8%
역 260
 
4.7%
시 258
 
4.6%
구 257
 
4.6%
로 257
 
4.6%
광 256
 
4.6%
Other values (166) 2498
45.0%
Common
ValueCountFrequency (%)
1439
36.2%
1 530
 
13.3%
( 345
 
8.7%
) 345
 
8.7%
0 224
 
5.6%
2 215
 
5.4%
3 179
 
4.5%
4 144
 
3.6%
, 113
 
2.8%
6 104
 
2.6%
Other values (8) 341
 
8.6%
Latin
ValueCountFrequency (%)
S 2
20.0%
K 2
20.0%
H 1
10.0%
L 1
10.0%
W 1
10.0%
E 1
10.0%
I 1
10.0%
V 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5553
58.2%
ASCII 3989
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1439
36.1%
1 530
 
13.3%
( 345
 
8.6%
) 345
 
8.6%
0 224
 
5.6%
2 215
 
5.4%
3 179
 
4.5%
4 144
 
3.6%
, 113
 
2.8%
6 104
 
2.6%
Other values (16) 351
 
8.8%
Hangul
ValueCountFrequency (%)
동 429
 
7.7%
부 428
 
7.7%
평 343
 
6.2%
천 301
 
5.4%
인 266
 
4.8%
역 260
 
4.7%
시 258
 
4.6%
구 257
 
4.6%
로 257
 
4.6%
광 256
 
4.6%
Other values (166) 2498
45.0%

어린이집특성
Categorical

IMBALANCE 

Distinct13
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
일반
179 
야간연장
43 
장애아통합,야간연장
 
11
일반,시간제보육
 
5
장애아통합
 
3
Other values (8)
 
14

Length

Max length16
Median length2
Mean length3.2666667
Min length2

Unique

Unique3 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
일반 179
70.2%
야간연장 43
 
16.9%
장애아통합,야간연장 11
 
4.3%
일반,시간제보육 5
 
2.0%
장애아통합 3
 
1.2%
방과후 통합 3
 
1.2%
장애아통합,방과후 통합 2
 
0.8%
장애아통합,야간연장,시간제보육 2
 
0.8%
영아전담 2
 
0.8%
장애아통합,야간연장,24시간 2
 
0.8%
Other values (3) 3
 
1.2%

Length

2024-03-18T13:58:50.709158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반 179
68.3%
야간연장 43
 
16.4%
장애아통합,야간연장 11
 
4.2%
일반,시간제보육 5
 
1.9%
방과후 5
 
1.9%
통합 5
 
1.9%
장애아통합 3
 
1.1%
장애아통합,방과후 2
 
0.8%
장애아통합,야간연장,시간제보육 2
 
0.8%
영아전담 2
 
0.8%
Other values (4) 5
 
1.9%

정원
Real number (ℝ)

HIGH CORRELATION 

Distinct84
Distinct (%)32.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.07451
Minimum11
Maximum265
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-18T13:58:50.821857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile15
Q119
median30
Q361
95-th percentile145.8
Maximum265
Range254
Interquartile range (IQR)42

Descriptive statistics

Standard deviation42.689484
Coefficient of variation (CV)0.88798585
Kurtosis4.1764144
Mean48.07451
Median Absolute Deviation (MAD)13
Skewness1.9437628
Sum12259
Variance1822.3921
MonotonicityNot monotonic
2024-03-18T13:58:50.932688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 51
20.0%
19 34
 
13.3%
49 13
 
5.1%
15 8
 
3.1%
13 7
 
2.7%
39 6
 
2.4%
18 6
 
2.4%
99 6
 
2.4%
30 5
 
2.0%
48 5
 
2.0%
Other values (74) 114
44.7%
ValueCountFrequency (%)
11 2
 
0.8%
12 1
 
0.4%
13 7
 
2.7%
14 1
 
0.4%
15 8
 
3.1%
16 3
 
1.2%
17 3
 
1.2%
18 6
 
2.4%
19 34
13.3%
20 51
20.0%
ValueCountFrequency (%)
265 1
0.4%
198 1
0.4%
194 1
0.4%
192 1
0.4%
187 1
0.4%
180 1
0.4%
170 1
0.4%
160 2
0.8%
158 1
0.4%
156 1
0.4%

보육교직원현원
Real number (ℝ)

HIGH CORRELATION 

Distinct31
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.223529
Minimum0
Maximum37
Zeros1
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-18T13:58:51.040485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q16
median8
Q312.5
95-th percentile23.3
Maximum37
Range37
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation6.3810308
Coefficient of variation (CV)0.62415146
Kurtosis1.6560007
Mean10.223529
Median Absolute Deviation (MAD)3
Skewness1.3458649
Sum2607
Variance40.717554
MonotonicityNot monotonic
2024-03-18T13:58:51.157815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
6 33
12.9%
7 30
11.8%
8 22
 
8.6%
9 20
 
7.8%
4 17
 
6.7%
10 17
 
6.7%
5 16
 
6.3%
11 12
 
4.7%
12 9
 
3.5%
18 9
 
3.5%
Other values (21) 70
27.5%
ValueCountFrequency (%)
0 1
 
0.4%
1 2
 
0.8%
2 4
 
1.6%
3 8
 
3.1%
4 17
6.7%
5 16
6.3%
6 33
12.9%
7 30
11.8%
8 22
8.6%
9 20
7.8%
ValueCountFrequency (%)
37 1
 
0.4%
31 1
 
0.4%
30 2
 
0.8%
28 1
 
0.4%
26 3
1.2%
25 1
 
0.4%
24 4
1.6%
23 5
2.0%
22 4
1.6%
21 2
 
0.8%

전화번호
Text

UNIQUE 

Distinct255
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-03-18T13:58:51.377423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.007843
Min length12

Characters and Unicode

Total characters3062
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

Unique255 ?
Unique (%)100.0%

Sample

1st row032-512-7942
2nd row032-522-7179
3rd row032-504-7942
4th row032-502-0507
5th row032-502-8133
ValueCountFrequency (%)
032-512-7942 1
 
0.4%
032-362-7200 1
 
0.4%
032-361-8881 1
 
0.4%
032-212-0230 1
 
0.4%
032-507-7702 1
 
0.4%
032-502-2971 1
 
0.4%
032-504-6467 1
 
0.4%
032-527-1263 1
 
0.4%
032-362-1359 1
 
0.4%
032-515-1862 1
 
0.4%
Other values (245) 245
96.1%
2024-03-18T13:58:51.694388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 510
16.7%
2 494
16.1%
0 493
16.1%
3 413
13.5%
5 326
10.6%
1 205
6.7%
7 153
 
5.0%
4 137
 
4.5%
6 118
 
3.9%
8 108
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2552
83.3%
Dash Punctuation 510
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 494
19.4%
0 493
19.3%
3 413
16.2%
5 326
12.8%
1 205
8.0%
7 153
 
6.0%
4 137
 
5.4%
6 118
 
4.6%
8 108
 
4.2%
9 105
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 510
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3062
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 510
16.7%
2 494
16.1%
0 493
16.1%
3 413
13.5%
5 326
10.6%
1 205
6.7%
7 153
 
5.0%
4 137
 
4.5%
6 118
 
3.9%
8 108
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3062
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 510
16.7%
2 494
16.1%
0 493
16.1%
3 413
13.5%
5 326
10.6%
1 205
6.7%
7 153
 
5.0%
4 137
 
4.5%
6 118
 
3.9%
8 108
 
3.5%

Interactions

2024-03-18T13:58:47.504807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:58:46.592418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:58:46.895393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:58:47.205306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:58:47.579967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:58:46.672316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:58:46.969211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:58:47.269499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:58:47.671432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:58:46.758291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:58:47.049177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:58:47.345613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:58:47.737121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:58:46.823693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:58:47.122988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:58:47.425673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T13:58:51.774354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번어린이집유형통학차량 운영행정동우편번호어린이집특성정원보육교직원현원
연번1.0000.2560.1050.3630.2410.1920.0420.000
어린이집유형0.2561.0000.5610.2870.2430.7490.5670.483
통학차량 운영0.1050.5611.0000.3490.2200.2560.5000.388
행정동0.3630.2870.3491.0000.9200.4270.3350.196
우편번호0.2410.2430.2200.9201.0000.3180.2400.000
어린이집특성0.1920.7490.2560.4270.3181.0000.5620.374
정원0.0420.5670.5000.3350.2400.5621.0000.740
보육교직원현원0.0000.4830.3880.1960.0000.3740.7401.000
2024-03-18T13:58:51.877175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동어린이집유형어린이집특성통학차량 운영
행정동1.0000.1210.1510.265
어린이집유형0.1211.0000.4660.597
어린이집특성0.1510.4661.0000.232
통학차량 운영0.2650.5970.2321.000
2024-03-18T13:58:51.971898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번우편번호정원보육교직원현원어린이집유형통학차량 운영행정동어린이집특성
연번1.0000.025-0.052-0.0720.1330.0630.1370.075
우편번호0.0251.0000.1130.1330.1250.1560.6550.137
정원-0.0520.1131.0000.7730.3420.4940.1320.279
보육교직원현원-0.0720.1330.7731.0000.2680.2930.0690.163
어린이집유형0.1330.1250.3420.2681.0000.5970.1210.466
통학차량 운영0.0630.1560.4940.2930.5971.0000.2650.232
행정동0.1370.6550.1320.0690.1210.2651.0000.151
어린이집특성0.0750.1370.2790.1630.4660.2320.1511.000

Missing values

2024-03-18T13:58:47.859404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T13:58:48.050364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번어린이집유형어린이집인가일통학차량 운영행정동우편번호주소어린이집특성정원보육교직원현원전화번호
01가정2주공예능어린이집2000-11-29미운영삼산1동21319인천광역시 부평구 부평북로 432 주공미래타운2단지 관리동(1층) (삼산동)일반205032-512-7942
12민간4주공예능어린이집2000-11-01미운영삼산1동21319인천광역시 부평구 영성중로 57 주공미래타운4단지 관리동(1층) (삼산동)일반489032-522-7179
23민간5주공예능어린이집2000-09-18운영(신고)삼산1동21321인천광역시 부평구 영성중로 16 주공미래타운5단지 관리동(1층) (삼산동)일반375032-504-7942
34민간A&E지혜어린이집2008-04-29운영(신고)부개3동21353인천광역시 부평구 충선로 101 (4층 건물전체) (부개동)일반19437032-502-0507
45직장IBK 참! 좋은 어린이집2012-09-26미운영부평5동21353인천광역시 부평구 부흥로 353 3층(부평동)일반609032-502-8133
56국공립SK뷰해모로어린이집2023-03-01미운영부평5동21400인천광역시 부평구 동수천로 71 SK뷰해모로 관리동야간연장7916032-518-0302
67가정SK키즈빌어린이집2012-08-02미운영부평5동21400인천광역시 부평구 동수천로 71 116동 102호(부평동, 부평SKVIEW해모로아파트)일반,시간제보육197032-505-0050
78가정가베동아어린이집2005-01-24미운영갈산2동21336인천광역시 부평구 갈월동로 42 1동 101호(갈산동, 동아아파트)일반205032-529-2506
89국공립갈산주공어린이집2018-03-01미운영갈산2동21331인천광역시 부평구 주부토로 206 (갈산주공2단지,관리동)장애아통합209032-361-9300
910직장갈산초등학교어린이집2011-09-01미운영갈산2동21331인천광역시 부평구 갈월동로 55 (1층) (갈산동)일반4910032-628-1721
연번어린이집유형어린이집인가일통학차량 운영행정동우편번호주소어린이집특성정원보육교직원현원전화번호
245246가정해솔어린이집2004-03-15운영(신고)십정2동21434인천광역시 부평구 아트센터로 118 117동 105호(십정동, 신동아아파트)야간연장2011032-299-7979
246247직장해아뜰어린이집2019-12-19미운영청천2동21313인천광역시 부평구 안남로 315 101동 101호(청천동,하우스디아파트)일반167032-515-7179
247248민간해피누리어린이집1996-05-25운영(신고)산곡4동21377인천광역시 부평구 안남로206번길 37 (3층 건물전체) (산곡동)일반18726032-504-7477
248249민간햇살담은어린이집2001-05-02운영(신고)산곡1동21309인천광역시 부평구 마장로367번길 1 (1층/3층중) (산곡동)야간연장407032-515-1857
249250민간행복이가득한어린이집2002-02-18운영(신고)부평2동21410인천광역시 부평구 경인로 863-1 (4층 건물전체) (부평동)일반9718032-503-3382
250251민간행복한발도로프어린이집2006-01-17운영(신고)십정1동21451인천광역시 부평구 배곶로 88 (5층건물전체) (십정동)일반16030032-431-5787
251252민간헤브론어린이집1995-03-01운영(신고)십정2동21453인천광역시 부평구 백범로488번길 16-3 (3층 건물전체) (십정동)장애아통합,야간연장,24시간6721032-428-5004
252253협동협동조합 예슬어린이집2019-07-08미운영갈산2동21336인천광역시 부평구 갈월동로29번길 40-3 1층,(갈산동)일반256032-529-9479
253254가정호산나어린이집2008-06-20미운영산곡2동21376인천광역시 부평구 원적로 344 112동 103호(산곡동, 금호이수마운트밸리)일반208032-506-8222
254255국공립화성파크드림어린이집2021-01-11미운영부평6동21431인천광역시 부평구 동수로 80 부평역화성파크드림 103동 1층일반3011032-511-3055