Overview

Dataset statistics

Number of variables30
Number of observations93
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.2 KiB
Average record size in memory255.4 B

Variable types

Numeric8
Categorical12
Text8
DateTime1
Boolean1

Dataset

Description대전광역시 서구 관내에서 운영중인 취약보육어린이집 현황 정보(행정동, 어린이집명, 원장, 대표자 등)를 제공합니다.
URLhttps://www.data.go.kr/data/15104096/fileData.do

Alerts

시도 has constant value ""Constant
시군구 has constant value ""Constant
보육교직원_원장 has constant value ""Constant
보육교직원_치료사 has constant value ""Constant
보육교직원_특수교사 is highly imbalanced (81.7%)Imbalance
보육교직원_영양사 is highly imbalanced (74.4%)Imbalance
보육교직원_간호사 is highly imbalanced (74.4%)Imbalance
평가인증 is highly imbalanced (74.4%)Imbalance
순번 has unique valuesUnique
보육교직원_보육교사 has 2 (2.2%) zerosZeros
보육교직원_기타 has 66 (71.0%) zerosZeros

Reproduction

Analysis started2023-12-12 22:20:14.371344
Analysis finished2023-12-12 22:20:14.866774
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct93
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47
Minimum1
Maximum93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size969.0 B
2023-12-13T07:20:14.930048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.6
Q124
median47
Q370
95-th percentile88.4
Maximum93
Range92
Interquartile range (IQR)46

Descriptive statistics

Standard deviation26.990739
Coefficient of variation (CV)0.57427105
Kurtosis-1.2
Mean47
Median Absolute Deviation (MAD)23
Skewness0
Sum4371
Variance728.5
MonotonicityStrictly increasing
2023-12-13T07:20:15.046376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
60 1
 
1.1%
69 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
Other values (83) 83
89.2%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
93 1
1.1%
92 1
1.1%
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size876.0 B
대전광역시
93 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대전광역시 93
100.0%

Length

2023-12-13T07:20:15.154047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:20:15.250897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대전광역시 93
100.0%

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size876.0 B
서구
93 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서구 93
100.0%

Length

2023-12-13T07:20:15.330413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:20:15.435995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서구 93
100.0%

행정동
Categorical

Distinct23
Distinct (%)24.7%
Missing0
Missing (%)0.0%
Memory size876.0 B
둔산2동
13 
관저2동
13 
가수원동
9 
갈마1동
6 
관저1동
6 
Other values (18)
46 

Length

Max length4
Median length4
Mean length3.6236559
Min length2

Unique

Unique4 ?
Unique (%)4.3%

Sample

1st row용문동
2nd row정림동
3rd row갈마1동
4th row도마2동
5th row둔산2동

Common Values

ValueCountFrequency (%)
둔산2동 13
14.0%
관저2동 13
14.0%
가수원동 9
 
9.7%
갈마1동 6
 
6.5%
관저1동 6
 
6.5%
내동 5
 
5.4%
월평2동 5
 
5.4%
복수동 5
 
5.4%
변동 3
 
3.2%
정림동 3
 
3.2%
Other values (13) 25
26.9%

Length

2023-12-13T07:20:15.554494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
둔산2동 13
14.0%
관저2동 13
14.0%
가수원동 9
 
9.7%
갈마1동 6
 
6.5%
관저1동 6
 
6.5%
내동 5
 
5.4%
월평2동 5
 
5.4%
복수동 5
 
5.4%
괴정동 3
 
3.2%
용문동 3
 
3.2%
Other values (13) 25
26.9%

행정동코드
Real number (ℝ)

Distinct23
Distinct (%)24.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0170585 × 109
Minimum3.017051 × 109
Maximum3.017066 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size969.0 B
2023-12-13T07:20:15.700033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.017051 × 109
5-th percentile3.0170516 × 109
Q13.017057 × 109
median3.0170588 × 109
Q33.0170597 × 109
95-th percentile3.017064 × 109
Maximum3.017066 × 109
Range15000
Interquartile range (IQR)2700

Descriptive statistics

Standard deviation3675.5822
Coefficient of variation (CV)1.2182668 × 10-6
Kurtosis-0.19986146
Mean3.0170585 × 109
Median Absolute Deviation (MAD)1200
Skewness-0.14384846
Sum2.8058644 × 1011
Variance13509904
MonotonicityNot monotonic
2023-12-13T07:20:15.808601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
3017064000 13
14.0%
3017059700 13
14.0%
3017059000 9
 
9.7%
3017058100 6
 
6.5%
3017059600 6
 
6.5%
3017058700 5
 
5.4%
3017057500 5
 
5.4%
3017051000 5
 
5.4%
3017055000 3
 
3.2%
3017053500 3
 
3.2%
Other values (13) 25
26.9%
ValueCountFrequency (%)
3017051000 5
5.4%
3017052000 2
 
2.2%
3017053000 2
 
2.2%
3017053500 3
3.2%
3017054000 3
3.2%
3017055000 3
3.2%
3017055500 2
 
2.2%
3017056000 3
3.2%
3017057000 1
 
1.1%
3017057500 5
5.4%
ValueCountFrequency (%)
3017066000 2
 
2.2%
3017065000 1
 
1.1%
3017064000 13
14.0%
3017063000 1
 
1.1%
3017060000 1
 
1.1%
3017059700 13
14.0%
3017059600 6
6.5%
3017059000 9
9.7%
3017058800 3
 
3.2%
3017058700 5
 
5.4%

법정동
Categorical

Distinct17
Distinct (%)18.3%
Missing0
Missing (%)0.0%
Memory size876.0 B
관저동
19 
둔산동
16 
월평동
10 
갈마동
8 
내동
5 
Other values (12)
35 

Length

Max length4
Median length3
Mean length2.9569892
Min length2

Unique

Unique3 ?
Unique (%)3.2%

Sample

1st row용문동
2nd row정림동
3rd row갈마동
4th row도마동
5th row둔산동

Common Values

ValueCountFrequency (%)
관저동 19
20.4%
둔산동 16
17.2%
월평동 10
10.8%
갈마동 8
8.6%
내동 5
 
5.4%
도안동 5
 
5.4%
복수동 5
 
5.4%
가수원동 4
 
4.3%
도마동 4
 
4.3%
변동 3
 
3.2%
Other values (7) 14
15.1%

Length

2023-12-13T07:20:15.935321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
관저동 19
20.4%
둔산동 16
17.2%
월평동 10
10.8%
갈마동 8
8.6%
내동 5
 
5.4%
도안동 5
 
5.4%
복수동 5
 
5.4%
도마동 4
 
4.3%
가수원동 4
 
4.3%
변동 3
 
3.2%
Other values (7) 14
15.1%

법정동코드
Real number (ℝ)

Distinct17
Distinct (%)18.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0170111 × 109
Minimum3.0170101 × 109
Maximum3.0170128 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size969.0 B
2023-12-13T07:20:16.041978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.0170101 × 109
5-th percentile3.0170102 × 109
Q13.0170109 × 109
median3.0170112 × 109
Q33.0170115 × 109
95-th percentile3.0170116 × 109
Maximum3.0170128 × 109
Range2700
Interquartile range (IQR)600

Descriptive statistics

Standard deviation501.13476
Coefficient of variation (CV)1.6610305 × 10-7
Kurtosis0.56117048
Mean3.0170111 × 109
Median Absolute Deviation (MAD)300
Skewness-0.36387984
Sum2.8058203 × 1011
Variance251136.04
MonotonicityNot monotonic
2023-12-13T07:20:16.169048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
3017011600 19
20.4%
3017011200 16
17.2%
3017011300 10
10.8%
3017011100 8
8.6%
3017011500 5
 
5.4%
3017011000 5
 
5.4%
3017010100 5
 
5.4%
3017010300 4
 
4.3%
3017011400 4
 
4.3%
3017010500 3
 
3.2%
Other values (7) 14
15.1%
ValueCountFrequency (%)
3017010100 5
5.4%
3017010200 3
 
3.2%
3017010300 4
4.3%
3017010400 3
 
3.2%
3017010500 3
 
3.2%
3017010600 2
 
2.2%
3017010800 3
 
3.2%
3017010900 1
 
1.1%
3017011000 5
5.4%
3017011100 8
8.6%
ValueCountFrequency (%)
3017012800 1
 
1.1%
3017011700 1
 
1.1%
3017011600 19
20.4%
3017011500 5
 
5.4%
3017011400 4
 
4.3%
3017011300 10
10.8%
3017011200 16
17.2%
3017011100 8
8.6%
3017011000 5
 
5.4%
3017010900 1
 
1.1%

어린이집유형
Categorical

Distinct6
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size876.0 B
가정
36 
국공립
30 
민간
16 
사회복지법인
6 
직장
4 

Length

Max length6
Median length2
Mean length2.6129032
Min length2

Unique

Unique1 ?
Unique (%)1.1%

Sample

1st row국공립
2nd row국공립
3rd row민간
4th row법인단체등
5th row민간

Common Values

ValueCountFrequency (%)
가정 36
38.7%
국공립 30
32.3%
민간 16
17.2%
사회복지법인 6
 
6.5%
직장 4
 
4.3%
법인단체등 1
 
1.1%

Length

2023-12-13T07:20:16.310439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:20:16.431822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가정 36
38.7%
국공립 30
32.3%
민간 16
17.2%
사회복지법인 6
 
6.5%
직장 4
 
4.3%
법인단체등 1
 
1.1%

어린이집명
Text

Distinct90
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size876.0 B
2023-12-13T07:20:16.676646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length7.5268817
Min length5

Characters and Unicode

Total characters700
Distinct characters161
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique87 ?
Unique (%)93.5%

Sample

1st row용문어린이집
2nd row보라어린이집
3rd row갈마어린이집
4th row예랑어린이집
5th row샘머리어린이집
ValueCountFrequency (%)
갈마어린이집 2
 
2.2%
월평어린이집 2
 
2.2%
한밭어린이집 2
 
2.2%
해와달어린이집 1
 
1.1%
피노키오어린이집 1
 
1.1%
대전청사아람어린이집 1
 
1.1%
대전청사새롬어린이집 1
 
1.1%
대전청사다솜어린이집 1
 
1.1%
현어린이집 1
 
1.1%
해피키즈어린이집 1
 
1.1%
Other values (80) 80
86.0%
2023-12-13T07:20:17.165755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 103
 
14.7%
린 95
 
13.6%
어 93
 
13.3%
집 93
 
13.3%
아 11
 
1.6%
마 8
 
1.1%
사 8
 
1.1%
은 7
 
1.0%
전 7
 
1.0%
나 7
 
1.0%
Other values (151) 268
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 700
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 103
 
14.7%
린 95
 
13.6%
어 93
 
13.3%
집 93
 
13.3%
아 11
 
1.6%
마 8
 
1.1%
사 8
 
1.1%
은 7
 
1.0%
전 7
 
1.0%
나 7
 
1.0%
Other values (151) 268
38.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 700
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 103
 
14.7%
린 95
 
13.6%
어 93
 
13.3%
집 93
 
13.3%
아 11
 
1.6%
마 8
 
1.1%
사 8
 
1.1%
은 7
 
1.0%
전 7
 
1.0%
나 7
 
1.0%
Other values (151) 268
38.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 700
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 103
 
14.7%
린 95
 
13.6%
어 93
 
13.3%
집 93
 
13.3%
아 11
 
1.6%
마 8
 
1.1%
사 8
 
1.1%
은 7
 
1.0%
전 7
 
1.0%
나 7
 
1.0%
Other values (151) 268
38.3%

원장
Text

Distinct89
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size876.0 B
2023-12-13T07:20:17.541888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters279
Distinct characters77
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)91.4%

Sample

1st row마지애
2nd row최성철
3rd row강경희
4th row라미영
5th row홍란기
ValueCountFrequency (%)
강경희 2
 
2.2%
김미라 2
 
2.2%
박정순 2
 
2.2%
윤연욱 2
 
2.2%
정은주 1
 
1.1%
강상훈 1
 
1.1%
현은애 1
 
1.1%
이희수 1
 
1.1%
나순덕 1
 
1.1%
김옥길 1
 
1.1%
Other values (79) 79
84.9%
2023-12-13T07:20:18.018277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 18
 
6.5%
이 16
 
5.7%
정 15
 
5.4%
경 14
 
5.0%
미 14
 
5.0%
순 12
 
4.3%
희 12
 
4.3%
은 11
 
3.9%
영 9
 
3.2%
숙 8
 
2.9%
Other values (67) 150
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 279
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 18
 
6.5%
이 16
 
5.7%
정 15
 
5.4%
경 14
 
5.0%
미 14
 
5.0%
순 12
 
4.3%
희 12
 
4.3%
은 11
 
3.9%
영 9
 
3.2%
숙 8
 
2.9%
Other values (67) 150
53.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 279
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 18
 
6.5%
이 16
 
5.7%
정 15
 
5.4%
경 14
 
5.0%
미 14
 
5.0%
순 12
 
4.3%
희 12
 
4.3%
은 11
 
3.9%
영 9
 
3.2%
숙 8
 
2.9%
Other values (67) 150
53.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 279
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 18
 
6.5%
이 16
 
5.7%
정 15
 
5.4%
경 14
 
5.0%
미 14
 
5.0%
순 12
 
4.3%
희 12
 
4.3%
은 11
 
3.9%
영 9
 
3.2%
숙 8
 
2.9%
Other values (67) 150
53.8%

대표자
Text

Distinct64
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Memory size876.0 B
2023-12-13T07:20:18.375820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length3
Mean length5.3225806
Min length3

Characters and Unicode

Total characters495
Distinct characters87
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

Unique60 ?
Unique (%)64.5%

Sample

1st row대전광역시 서구청장
2nd row대전광역시 서구청장
3rd row강경희
4th row김정민
5th row홍란기
ValueCountFrequency (%)
대전광역시 26
21.7%
서구청장 26
21.7%
대전청사관리소장 3
 
2.5%
대전광역시장 2
 
1.7%
강경희 2
 
1.7%
이은자 1
 
0.8%
나순덕 1
 
0.8%
정영림 1
 
0.8%
유길자 1
 
0.8%
민경일 1
 
0.8%
Other values (56) 56
46.7%
2023-12-13T07:20:18.863886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 33
 
6.7%
전 33
 
6.7%
대 32
 
6.5%
청 30
 
6.1%
광 29
 
5.9%
역 29
 
5.9%
시 29
 
5.9%
27
 
5.5%
서 27
 
5.5%
구 27
 
5.5%
Other values (77) 199
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 468
94.5%
Space Separator 27
 
5.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 33
 
7.1%
전 33
 
7.1%
대 32
 
6.8%
청 30
 
6.4%
광 29
 
6.2%
역 29
 
6.2%
시 29
 
6.2%
서 27
 
5.8%
구 27
 
5.8%
정 12
 
2.6%
Other values (76) 187
40.0%
Space Separator
ValueCountFrequency (%)
27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 468
94.5%
Common 27
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 33
 
7.1%
전 33
 
7.1%
대 32
 
6.8%
청 30
 
6.4%
광 29
 
6.2%
역 29
 
6.2%
시 29
 
6.2%
서 27
 
5.8%
구 27
 
5.8%
정 12
 
2.6%
Other values (76) 187
40.0%
Common
ValueCountFrequency (%)
27
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 468
94.5%
ASCII 27
 
5.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 33
 
7.1%
전 33
 
7.1%
대 32
 
6.8%
청 30
 
6.4%
광 29
 
6.2%
역 29
 
6.2%
시 29
 
6.2%
서 27
 
5.8%
구 27
 
5.8%
정 12
 
2.6%
Other values (76) 187
40.0%
ASCII
ValueCountFrequency (%)
27
100.0%

위탁업체명
Categorical

Distinct29
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Memory size876.0 B
없음
61 
재단법인대한예수교장로회대전노회유지재단
 
2
사회복지법인 기독교연합봉사회
 
2
보육경영 제이원
 
2
사회복지법인 나눔복지재단
 
2
Other values (24)
24 

Length

Max length24
Median length2
Mean length4.655914
Min length2

Unique

Unique24 ?
Unique (%)25.8%

Sample

1st row사단법인 미래복지경영
2nd row재단법인 대한예수교 장노회 대전노회 유지재단
3rd row없음
4th row없음
5th row없음

Common Values

ValueCountFrequency (%)
없음 61
65.6%
재단법인대한예수교장로회대전노회유지재단 2
 
2.2%
사회복지법인 기독교연합봉사회 2
 
2.2%
보육경영 제이원 2
 
2.2%
사회복지법인 나눔복지재단 2
 
2.2%
개인 김연수 1
 
1.1%
개인 정은경 1
 
1.1%
개인 안미연 1
 
1.1%
개인 주혜란 1
 
1.1%
대전광역시사회서비스원 1
 
1.1%
Other values (19) 19
 
20.4%

Length

2023-12-13T07:20:19.047414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
없음 61
52.1%
개인 11
 
9.4%
사회복지법인 5
 
4.3%
기독교연합봉사회 2
 
1.7%
보육경영 2
 
1.7%
제이원 2
 
1.7%
나눔복지재단 2
 
1.7%
재단법인대한예수교장로회대전노회유지재단 2
 
1.7%
사단법인 1
 
0.9%
산학협력단 1
 
0.9%
Other values (28) 28
23.9%

지번주소
Text

Distinct73
Distinct (%)78.5%
Missing0
Missing (%)0.0%
Memory size876.0 B
2023-12-13T07:20:19.315119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length9.6451613
Min length4

Characters and Unicode

Total characters897
Distinct characters45
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

Unique56 ?
Unique (%)60.2%

Sample

1st row용문동 589-21
2nd row정림동 637
3rd row갈마동 390-22
4th row도마동 551-1
5th row둔산동 908
ValueCountFrequency (%)
대전 27
 
11.2%
서구 27
 
11.2%
관저동 19
 
7.9%
둔산동 16
 
6.7%
월평동 10
 
4.2%
갈마동 8
 
3.3%
내동 5
 
2.1%
도안동 5
 
2.1%
복수동 5
 
2.1%
218 5
 
2.1%
Other values (80) 113
47.1%
2023-12-13T07:20:19.762938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
147
16.4%
동 93
 
10.4%
1 71
 
7.9%
2 45
 
5.0%
9 38
 
4.2%
3 33
 
3.7%
0 32
 
3.6%
- 30
 
3.3%
8 30
 
3.3%
4 28
 
3.1%
Other values (35) 350
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 383
42.7%
Decimal Number 337
37.6%
Space Separator 147
 
16.4%
Dash Punctuation 30
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 93
24.3%
대 27
 
7.0%
서 27
 
7.0%
구 27
 
7.0%
전 27
 
7.0%
저 19
 
5.0%
관 19
 
5.0%
산 16
 
4.2%
둔 16
 
4.2%
마 12
 
3.1%
Other values (23) 100
26.1%
Decimal Number
ValueCountFrequency (%)
1 71
21.1%
2 45
13.4%
9 38
11.3%
3 33
9.8%
0 32
9.5%
8 30
8.9%
4 28
 
8.3%
7 24
 
7.1%
5 22
 
6.5%
6 14
 
4.2%
Space Separator
ValueCountFrequency (%)
147
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 514
57.3%
Hangul 383
42.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 93
24.3%
대 27
 
7.0%
서 27
 
7.0%
구 27
 
7.0%
전 27
 
7.0%
저 19
 
5.0%
관 19
 
5.0%
산 16
 
4.2%
둔 16
 
4.2%
마 12
 
3.1%
Other values (23) 100
26.1%
Common
ValueCountFrequency (%)
147
28.6%
1 71
13.8%
2 45
 
8.8%
9 38
 
7.4%
3 33
 
6.4%
0 32
 
6.2%
- 30
 
5.8%
8 30
 
5.8%
4 28
 
5.4%
7 24
 
4.7%
Other values (2) 36
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 514
57.3%
Hangul 383
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
147
28.6%
1 71
13.8%
2 45
 
8.8%
9 38
 
7.4%
3 33
 
6.4%
0 32
 
6.2%
- 30
 
5.8%
8 30
 
5.8%
4 28
 
5.4%
7 24
 
4.7%
Other values (2) 36
 
7.0%
Hangul
ValueCountFrequency (%)
동 93
24.3%
대 27
 
7.0%
서 27
 
7.0%
구 27
 
7.0%
전 27
 
7.0%
저 19
 
5.0%
관 19
 
5.0%
산 16
 
4.2%
둔 16
 
4.2%
마 12
 
3.1%
Other values (23) 100
26.1%

도로명주소
Text

Distinct73
Distinct (%)78.5%
Missing0
Missing (%)0.0%
Memory size876.0 B
2023-12-13T07:20:20.041558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length27
Mean length19.322581
Min length15

Characters and Unicode

Total characters1797
Distinct characters99
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)60.2%

Sample

1st row대전 서구 계룡로 626-1
2nd row대전광역시 서구 계백로1286번길 86
3rd row대전광역시 서구 신갈마로 95
4th row대전광역시 서구 도림6길 108
5th row대전광역시 서구 청사로 281
ValueCountFrequency (%)
서구 93
22.4%
대전광역시 65
 
15.7%
대전 28
 
6.7%
청사로 10
 
2.4%
월평동 8
 
1.9%
복수동 5
 
1.2%
신갈마로 5
 
1.2%
관저로 5
 
1.2%
11 5
 
1.2%
관저북로 5
 
1.2%
Other values (124) 186
44.8%
2023-12-13T07:20:20.484215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
322
17.9%
서 99
 
5.5%
대 98
 
5.5%
구 98
 
5.5%
전 95
 
5.3%
로 93
 
5.2%
1 69
 
3.8%
시 65
 
3.6%
역 65
 
3.6%
광 65
 
3.6%
Other values (89) 728
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1110
61.8%
Space Separator 322
 
17.9%
Decimal Number 286
 
15.9%
Close Punctuation 27
 
1.5%
Open Punctuation 27
 
1.5%
Other Punctuation 16
 
0.9%
Dash Punctuation 9
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 99
 
8.9%
대 98
 
8.8%
구 98
 
8.8%
전 95
 
8.6%
로 93
 
8.4%
시 65
 
5.9%
역 65
 
5.9%
광 65
 
5.9%
동 33
 
3.0%
길 26
 
2.3%
Other values (74) 373
33.6%
Decimal Number
ValueCountFrequency (%)
1 69
24.1%
2 43
15.0%
5 30
10.5%
8 29
10.1%
0 24
 
8.4%
6 22
 
7.7%
4 21
 
7.3%
3 20
 
7.0%
9 14
 
4.9%
7 14
 
4.9%
Space Separator
ValueCountFrequency (%)
322
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Other Punctuation
ValueCountFrequency (%)
, 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1110
61.8%
Common 687
38.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 99
 
8.9%
대 98
 
8.8%
구 98
 
8.8%
전 95
 
8.6%
로 93
 
8.4%
시 65
 
5.9%
역 65
 
5.9%
광 65
 
5.9%
동 33
 
3.0%
길 26
 
2.3%
Other values (74) 373
33.6%
Common
ValueCountFrequency (%)
322
46.9%
1 69
 
10.0%
2 43
 
6.3%
5 30
 
4.4%
8 29
 
4.2%
) 27
 
3.9%
( 27
 
3.9%
0 24
 
3.5%
6 22
 
3.2%
4 21
 
3.1%
Other values (5) 73
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1110
61.8%
ASCII 687
38.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
322
46.9%
1 69
 
10.0%
2 43
 
6.3%
5 30
 
4.4%
8 29
 
4.2%
) 27
 
3.9%
( 27
 
3.9%
0 24
 
3.5%
6 22
 
3.2%
4 21
 
3.1%
Other values (5) 73
 
10.6%
Hangul
ValueCountFrequency (%)
서 99
 
8.9%
대 98
 
8.8%
구 98
 
8.8%
전 95
 
8.6%
로 93
 
8.4%
시 65
 
5.9%
역 65
 
5.9%
광 65
 
5.9%
동 33
 
3.0%
길 26
 
2.3%
Other values (74) 373
33.6%

상세주소
Text

Distinct89
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size876.0 B
2023-12-13T07:20:20.735104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length41
Mean length32.16129
Min length17

Characters and Unicode

Total characters2991
Distinct characters145
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)91.4%

Sample

1st row대전광역시 서구 계룡로 626-1 (용문동)
2nd row대전광역시 서구 계백로1286번길 86 (정림동)
3rd row대전광역시 서구 신갈마로 95 관리동 (갈마동, 갈마아파트)
4th row대전광역시 서구 도림6길 108 (도마동)
5th row대전광역시 서구 청사로 281 관리사무소 1층 (둔산동,샘머리아파트2단지)
ValueCountFrequency (%)
대전광역시 93
 
15.6%
서구 93
 
15.6%
관저동 11
 
1.8%
101호 10
 
1.7%
둔산동 10
 
1.7%
청사로 10
 
1.7%
관리동 10
 
1.7%
103호 9
 
1.5%
갈마동 7
 
1.2%
1층 7
 
1.2%
Other values (207) 336
56.4%
2023-12-13T07:20:21.171282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
503
 
16.8%
1 165
 
5.5%
동 126
 
4.2%
구 101
 
3.4%
대 100
 
3.3%
서 99
 
3.3%
전 97
 
3.2%
시 94
 
3.1%
로 93
 
3.1%
역 93
 
3.1%
Other values (135) 1520
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1753
58.6%
Decimal Number 529
 
17.7%
Space Separator 503
 
16.8%
Close Punctuation 74
 
2.5%
Open Punctuation 74
 
2.5%
Other Punctuation 48
 
1.6%
Dash Punctuation 10
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 126
 
7.2%
구 101
 
5.8%
대 100
 
5.7%
서 99
 
5.6%
전 97
 
5.5%
시 94
 
5.4%
로 93
 
5.3%
역 93
 
5.3%
광 93
 
5.3%
아 46
 
2.6%
Other values (120) 811
46.3%
Decimal Number
ValueCountFrequency (%)
1 165
31.2%
0 86
16.3%
2 66
 
12.5%
3 42
 
7.9%
5 38
 
7.2%
4 33
 
6.2%
8 31
 
5.9%
6 30
 
5.7%
7 19
 
3.6%
9 19
 
3.6%
Space Separator
ValueCountFrequency (%)
503
100.0%
Close Punctuation
ValueCountFrequency (%)
) 74
100.0%
Open Punctuation
ValueCountFrequency (%)
( 74
100.0%
Other Punctuation
ValueCountFrequency (%)
, 48
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1753
58.6%
Common 1238
41.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 126
 
7.2%
구 101
 
5.8%
대 100
 
5.7%
서 99
 
5.6%
전 97
 
5.5%
시 94
 
5.4%
로 93
 
5.3%
역 93
 
5.3%
광 93
 
5.3%
아 46
 
2.6%
Other values (120) 811
46.3%
Common
ValueCountFrequency (%)
503
40.6%
1 165
 
13.3%
0 86
 
6.9%
) 74
 
6.0%
( 74
 
6.0%
2 66
 
5.3%
, 48
 
3.9%
3 42
 
3.4%
5 38
 
3.1%
4 33
 
2.7%
Other values (5) 109
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1753
58.6%
ASCII 1238
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
503
40.6%
1 165
 
13.3%
0 86
 
6.9%
) 74
 
6.0%
( 74
 
6.0%
2 66
 
5.3%
, 48
 
3.9%
3 42
 
3.4%
5 38
 
3.1%
4 33
 
2.7%
Other values (5) 109
 
8.8%
Hangul
ValueCountFrequency (%)
동 126
 
7.2%
구 101
 
5.8%
대 100
 
5.7%
서 99
 
5.6%
전 97
 
5.5%
시 94
 
5.4%
로 93
 
5.3%
역 93
 
5.3%
광 93
 
5.3%
아 46
 
2.6%
Other values (120) 811
46.3%

인가일
Date

Distinct80
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Memory size876.0 B
Minimum1991-08-12 00:00:00
Maximum2022-03-01 00:00:00
2023-12-13T07:20:21.326252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:20:21.457179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

정원
Real number (ℝ)

Distinct45
Distinct (%)48.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.935484
Minimum14
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size969.0 B
2023-12-13T07:20:21.626848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile15
Q120
median42
Q361
95-th percentile113.4
Maximum300
Range286
Interquartile range (IQR)41

Descriptive statistics

Standard deviation44.01082
Coefficient of variation (CV)0.89936416
Kurtosis12.826164
Mean48.935484
Median Absolute Deviation (MAD)22
Skewness3.0217082
Sum4551
Variance1936.9523
MonotonicityNot monotonic
2023-12-13T07:20:21.765821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
20 21
22.6%
18 6
 
6.5%
19 5
 
5.4%
42 4
 
4.3%
15 4
 
4.3%
14 3
 
3.2%
60 3
 
3.2%
49 3
 
3.2%
79 2
 
2.2%
200 2
 
2.2%
Other values (35) 40
43.0%
ValueCountFrequency (%)
14 3
 
3.2%
15 4
 
4.3%
16 1
 
1.1%
18 6
 
6.5%
19 5
 
5.4%
20 21
22.6%
27 1
 
1.1%
28 1
 
1.1%
35 1
 
1.1%
42 4
 
4.3%
ValueCountFrequency (%)
300 1
1.1%
200 2
2.2%
127 1
1.1%
117 1
1.1%
111 1
1.1%
110 1
1.1%
93 1
1.1%
88 1
1.1%
84 1
1.1%
80 1
1.1%

보육교직원합계
Real number (ℝ)

Distinct26
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.784946
Minimum1
Maximum56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size969.0 B
2023-12-13T07:20:21.914802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.6
Q17
median11
Q314
95-th percentile22.8
Maximum56
Range55
Interquartile range (IQR)7

Descriptive statistics

Standard deviation8.5616047
Coefficient of variation (CV)0.72648653
Kurtosis11.182901
Mean11.784946
Median Absolute Deviation (MAD)4
Skewness2.8234188
Sum1096
Variance73.301075
MonotonicityNot monotonic
2023-12-13T07:20:22.059023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
11 12
12.9%
6 10
 
10.8%
7 9
 
9.7%
8 7
 
7.5%
5 6
 
6.5%
13 6
 
6.5%
14 5
 
5.4%
16 4
 
4.3%
9 4
 
4.3%
3 3
 
3.2%
Other values (16) 27
29.0%
ValueCountFrequency (%)
1 2
 
2.2%
3 3
 
3.2%
4 2
 
2.2%
5 6
6.5%
6 10
10.8%
7 9
9.7%
8 7
7.5%
9 4
 
4.3%
10 3
 
3.2%
11 12
12.9%
ValueCountFrequency (%)
56 1
 
1.1%
50 1
 
1.1%
38 1
 
1.1%
26 1
 
1.1%
24 1
 
1.1%
22 1
 
1.1%
21 1
 
1.1%
20 3
3.2%
19 1
 
1.1%
18 3
3.2%

보육교직원_원장
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size876.0 B
1
93 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 93
100.0%

Length

2023-12-13T07:20:22.181841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:20:22.255452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 93
100.0%

보육교직원_보육교사
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)25.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.9462366
Minimum0
Maximum45
Zeros2
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size969.0 B
2023-12-13T07:20:22.331260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median8
Q311
95-th percentile18.8
Maximum45
Range45
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.9928
Coefficient of variation (CV)0.78164712
Kurtosis10.218255
Mean8.9462366
Median Absolute Deviation (MAD)3
Skewness2.6579201
Sum832
Variance48.899252
MonotonicityNot monotonic
2023-12-13T07:20:22.429913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
5 12
12.9%
4 12
12.9%
11 11
11.8%
9 10
10.8%
8 8
 
8.6%
6 7
 
7.5%
3 4
 
4.3%
14 3
 
3.2%
7 3
 
3.2%
12 3
 
3.2%
Other values (14) 20
21.5%
ValueCountFrequency (%)
0 2
 
2.2%
1 2
 
2.2%
2 2
 
2.2%
3 4
 
4.3%
4 12
12.9%
5 12
12.9%
6 7
7.5%
7 3
 
3.2%
8 8
8.6%
9 10
10.8%
ValueCountFrequency (%)
45 1
 
1.1%
39 1
 
1.1%
27 1
 
1.1%
24 1
 
1.1%
20 1
 
1.1%
18 2
2.2%
17 1
 
1.1%
16 1
 
1.1%
15 2
2.2%
14 3
3.2%

보육교직원_특수교사
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size876.0 B
0
89 
2
 
3
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

1st row4
2nd row2
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 89
95.7%
2 3
 
3.2%
4 1
 
1.1%

Length

2023-12-13T07:20:22.550009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:20:22.936814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 89
95.7%
2 3
 
3.2%
4 1
 
1.1%

보육교직원_치료사
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size876.0 B
0
93 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 93
100.0%

Length

2023-12-13T07:20:23.038415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:20:23.130032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 93
100.0%

보육교직원_영양사
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size876.0 B
0
89 
1
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 89
95.7%
1 4
 
4.3%

Length

2023-12-13T07:20:23.226544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:20:23.304335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 89
95.7%
1 4
 
4.3%

보육교직원_조리원
Categorical

Distinct5
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size876.0 B
1
67 
2
15 
0
8 
3
 
2
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 67
72.0%
2 15
 
16.1%
0 8
 
8.6%
3 2
 
2.2%
4 1
 
1.1%

Length

2023-12-13T07:20:23.394528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:20:23.502178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 67
72.0%
2 15
 
16.1%
0 8
 
8.6%
3 2
 
2.2%
4 1
 
1.1%

보육교직원_간호사
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size876.0 B
0
89 
1
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 89
95.7%
1 4
 
4.3%

Length

2023-12-13T07:20:23.615836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:20:23.730064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 89
95.7%
1 4
 
4.3%

보육교직원_기타
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.49462366
Minimum0
Maximum5
Zeros66
Zeros (%)71.0%
Negative0
Negative (%)0.0%
Memory size969.0 B
2023-12-13T07:20:23.834299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.0281226
Coefficient of variation (CV)2.0785956
Kurtosis8.4122132
Mean0.49462366
Median Absolute Deviation (MAD)0
Skewness2.805253
Sum46
Variance1.057036
MonotonicityNot monotonic
2023-12-13T07:20:23.957301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 66
71.0%
1 19
 
20.4%
3 3
 
3.2%
2 2
 
2.2%
5 2
 
2.2%
4 1
 
1.1%
ValueCountFrequency (%)
0 66
71.0%
1 19
 
20.4%
2 2
 
2.2%
3 3
 
3.2%
4 1
 
1.1%
5 2
 
2.2%
ValueCountFrequency (%)
5 2
 
2.2%
4 1
 
1.1%
3 3
 
3.2%
2 2
 
2.2%
1 19
 
20.4%
0 66
71.0%

평가인증
Boolean

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size225.0 B
True
89 
False
 
4
ValueCountFrequency (%)
True 89
95.7%
False 4
 
4.3%
2023-12-13T07:20:24.068191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

전화번호
Text

Distinct90
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size876.0 B
2023-12-13T07:20:24.280992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.010753
Min length12

Characters and Unicode

Total characters1117
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

Unique87 ?
Unique (%)93.5%

Sample

1st row042-537-0614
2nd row042-584-4459
3rd row042-535-5732
4th row042-526-7973
5th row042-483-1020
ValueCountFrequency (%)
042-535-5732 2
 
2.2%
042-484-6740 2
 
2.2%
042-484-5552 2
 
2.2%
042-488-8891 1
 
1.1%
042-489-6555 1
 
1.1%
042-472-4200 1
 
1.1%
042-483-2140 1
 
1.1%
042-719-8082 1
 
1.1%
042-487-8627 1
 
1.1%
042-362-0808 1
 
1.1%
Other values (80) 80
86.0%
2023-12-13T07:20:24.675450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 186
16.7%
4 183
16.4%
2 163
14.6%
0 140
12.5%
5 117
10.5%
3 84
7.5%
8 77
6.9%
1 51
 
4.6%
7 46
 
4.1%
6 40
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 931
83.3%
Dash Punctuation 186
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 183
19.7%
2 163
17.5%
0 140
15.0%
5 117
12.6%
3 84
9.0%
8 77
8.3%
1 51
 
5.5%
7 46
 
4.9%
6 40
 
4.3%
9 30
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 186
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1117
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 186
16.7%
4 183
16.4%
2 163
14.6%
0 140
12.5%
5 117
10.5%
3 84
7.5%
8 77
6.9%
1 51
 
4.6%
7 46
 
4.1%
6 40
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1117
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 186
16.7%
4 183
16.4%
2 163
14.6%
0 140
12.5%
5 117
10.5%
3 84
7.5%
8 77
6.9%
1 51
 
4.6%
7 46
 
4.1%
6 40
 
3.6%

팩스번호
Text

Distinct57
Distinct (%)61.3%
Missing0
Missing (%)0.0%
Memory size876.0 B
2023-12-13T07:20:24.952200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length8.3763441
Min length2

Characters and Unicode

Total characters779
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)57.0%

Sample

1st row042-537-0617
2nd row042-367-4459
3rd row042-384-5732
4th row부재
5th row부재
ValueCountFrequency (%)
부재 34
36.6%
042-484-4325 2
 
2.2%
042-384-5732 2
 
2.2%
042-471-6740 2
 
2.2%
042-486-6313 1
 
1.1%
042-585-1302 1
 
1.1%
042-537-0617 1
 
1.1%
042-472-3356 1
 
1.1%
042-526-6388 1
 
1.1%
042-488-8891 1
 
1.1%
Other values (47) 47
50.5%
2023-12-13T07:20:25.377786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 118
15.1%
- 118
15.1%
2 97
12.5%
0 85
10.9%
5 71
9.1%
3 68
8.7%
8 48
6.2%
부 34
 
4.4%
재 34
 
4.4%
1 34
 
4.4%
Other values (3) 72
9.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 593
76.1%
Dash Punctuation 118
 
15.1%
Other Letter 68
 
8.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 118
19.9%
2 97
16.4%
0 85
14.3%
5 71
12.0%
3 68
11.5%
8 48
8.1%
1 34
 
5.7%
7 31
 
5.2%
6 28
 
4.7%
9 13
 
2.2%
Other Letter
ValueCountFrequency (%)
부 34
50.0%
재 34
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 118
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 711
91.3%
Hangul 68
 
8.7%

Most frequent character per script

Common
ValueCountFrequency (%)
4 118
16.6%
- 118
16.6%
2 97
13.6%
0 85
12.0%
5 71
10.0%
3 68
9.6%
8 48
6.8%
1 34
 
4.8%
7 31
 
4.4%
6 28
 
3.9%
Hangul
ValueCountFrequency (%)
부 34
50.0%
재 34
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 711
91.3%
Hangul 68
 
8.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 118
16.6%
- 118
16.6%
2 97
13.6%
0 85
12.0%
5 71
10.0%
3 68
9.6%
8 48
6.8%
1 34
 
4.8%
7 31
 
4.4%
6 28
 
3.9%
Hangul
ValueCountFrequency (%)
부 34
50.0%
재 34
50.0%

우편번호
Real number (ℝ)

Distinct63
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35307.237
Minimum35202
Maximum35426
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size969.0 B
2023-12-13T07:20:25.564622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35202
5-th percentile35205
Q135243
median35306
Q335372
95-th percentile35403.4
Maximum35426
Range224
Interquartile range (IQR)129

Descriptive statistics

Standard deviation70.057026
Coefficient of variation (CV)0.0019842115
Kurtosis-1.4028393
Mean35307.237
Median Absolute Deviation (MAD)66
Skewness-0.1344812
Sum3283573
Variance4907.9869
MonotonicityNot monotonic
2023-12-13T07:20:25.774018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35205 5
 
5.4%
35211 5
 
5.4%
35282 3
 
3.2%
35386 3
 
3.2%
35208 3
 
3.2%
35358 3
 
3.2%
35210 3
 
3.2%
35235 2
 
2.2%
35284 2
 
2.2%
35383 2
 
2.2%
Other values (53) 62
66.7%
ValueCountFrequency (%)
35202 1
 
1.1%
35205 5
5.4%
35206 1
 
1.1%
35208 3
3.2%
35210 3
3.2%
35211 5
5.4%
35221 1
 
1.1%
35228 2
 
2.2%
35235 2
 
2.2%
35243 1
 
1.1%
ValueCountFrequency (%)
35426 1
1.1%
35415 1
1.1%
35414 1
1.1%
35413 1
1.1%
35404 1
1.1%
35403 1
1.1%
35399 1
1.1%
35396 1
1.1%
35393 1
1.1%
35390 1
1.1%

Sample

순번시도시군구행정동행정동코드법정동법정동코드어린이집유형어린이집명원장대표자위탁업체명지번주소도로명주소상세주소인가일정원보육교직원합계보육교직원_원장보육교직원_보육교사보육교직원_특수교사보육교직원_치료사보육교직원_영양사보육교직원_조리원보육교직원_간호사보육교직원_기타평가인증전화번호팩스번호우편번호
01대전광역시서구용문동3017055000용문동3017010500국공립용문어린이집마지애대전광역시 서구청장사단법인 미래복지경영용문동 589-21대전 서구 계룡로 626-1대전광역시 서구 계룡로 626-1 (용문동)2004-09-01201718400103Y042-537-0614042-537-061735300
12대전광역시서구정림동3017053500정림동3017010400국공립보라어린이집최성철대전광역시 서구청장재단법인 대한예수교 장노회 대전노회 유지재단정림동 637대전광역시 서구 계백로1286번길 86대전광역시 서구 계백로1286번길 86 (정림동)2003-04-30201316200103Y042-584-4459042-367-445935396
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