Overview

Dataset statistics

Number of variables13
Number of observations38
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory110.5 B

Variable types

Text6
Categorical2
DateTime2
Numeric3

Dataset

Description특수학교 현황
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=XV8KITG2UXLHGLDL12WB25295902&infSeq=1

Alerts

소재지우편번호 is highly overall correlated with WGS84위도High correlation
WGS84위도 is highly overall correlated with 소재지우편번호High correlation
장애영역명 is highly imbalanced (57.0%)Imbalance
학교명 has unique valuesUnique
소재지지번주소 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
소재지우편번호 has unique valuesUnique
WGS84위도 has unique valuesUnique
WGS84경도 has unique valuesUnique
연락처정보 has unique valuesUnique
홈페이지URL has unique valuesUnique

Reproduction

Analysis started2024-04-11 02:13:18.576135
Analysis finished2024-04-11 02:13:21.379385
Duration2.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Text

Distinct21
Distinct (%)55.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-04-11T11:13:21.482131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0789474
Min length3

Characters and Unicode

Total characters117
Distinct characters28
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

Unique10 ?
Unique (%)26.3%

Sample

1st row고양시
2nd row고양시
3rd row고양시
4th row고양시
5th row광주시
ValueCountFrequency (%)
고양시 4
 
10.5%
광주시 4
 
10.5%
수원시 3
 
7.9%
화성시 3
 
7.9%
용인시 2
 
5.3%
안산시 2
 
5.3%
평택시 2
 
5.3%
부천시 2
 
5.3%
의정부시 2
 
5.3%
성남시 2
 
5.3%
Other values (11) 12
31.6%
2024-04-11T11:13:21.768490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 37
31.6%
주 8
 
6.8%
양 8
 
6.8%
성 6
 
5.1%
남 4
 
3.4%
안 4
 
3.4%
부 4
 
3.4%
고 4
 
3.4%
광 4
 
3.4%
천 3
 
2.6%
Other values (18) 35
29.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 117
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 37
31.6%
주 8
 
6.8%
양 8
 
6.8%
성 6
 
5.1%
남 4
 
3.4%
안 4
 
3.4%
부 4
 
3.4%
고 4
 
3.4%
광 4
 
3.4%
천 3
 
2.6%
Other values (18) 35
29.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 117
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 37
31.6%
주 8
 
6.8%
양 8
 
6.8%
성 6
 
5.1%
남 4
 
3.4%
안 4
 
3.4%
부 4
 
3.4%
고 4
 
3.4%
광 4
 
3.4%
천 3
 
2.6%
Other values (18) 35
29.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 117
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 37
31.6%
주 8
 
6.8%
양 8
 
6.8%
성 6
 
5.1%
남 4
 
3.4%
안 4
 
3.4%
부 4
 
3.4%
고 4
 
3.4%
광 4
 
3.4%
천 3
 
2.6%
Other values (18) 35
29.9%

학교유형명
Categorical

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
사립
22 
공립
14 
국립
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사립
2nd row사립
3rd row국립
4th row사립
5th row사립

Common Values

ValueCountFrequency (%)
사립 22
57.9%
공립 14
36.8%
국립 2
 
5.3%

Length

2024-04-11T11:13:21.889005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T11:13:21.978114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 22
57.9%
공립 14
36.8%
국립 2
 
5.3%

학교명
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-04-11T11:13:22.148173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.7631579
Min length4

Characters and Unicode

Total characters181
Distinct characters67
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

Unique38 ?
Unique (%)100.0%

Sample

1st row명현학교
2nd row밝은학교
3rd row한국경진학교
4th row홀트학교
5th row광주새롬학교
ValueCountFrequency (%)
명현학교 1
 
2.6%
송민학교 1
 
2.6%
해원학교 1
 
2.6%
양주도담학교 1
 
2.6%
창인학교 1
 
2.6%
성심학교 1
 
2.6%
용인강남학교 1
 
2.6%
용인다움학교 1
 
2.6%
의왕정음학교 1
 
2.6%
다원학교 1
 
2.6%
Other values (28) 28
73.7%
2024-04-11T11:13:22.440907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 38
21.0%
교 38
21.0%
한 5
 
2.8%
성 5
 
2.8%
혜 4
 
2.2%
인 4
 
2.2%
은 4
 
2.2%
새 3
 
1.7%
다 3
 
1.7%
원 3
 
1.7%
Other values (57) 74
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 181
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 38
21.0%
교 38
21.0%
한 5
 
2.8%
성 5
 
2.8%
혜 4
 
2.2%
인 4
 
2.2%
은 4
 
2.2%
새 3
 
1.7%
다 3
 
1.7%
원 3
 
1.7%
Other values (57) 74
40.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 181
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 38
21.0%
교 38
21.0%
한 5
 
2.8%
성 5
 
2.8%
혜 4
 
2.2%
인 4
 
2.2%
은 4
 
2.2%
새 3
 
1.7%
다 3
 
1.7%
원 3
 
1.7%
Other values (57) 74
40.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 181
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 38
21.0%
교 38
21.0%
한 5
 
2.8%
성 5
 
2.8%
혜 4
 
2.2%
인 4
 
2.2%
은 4
 
2.2%
새 3
 
1.7%
다 3
 
1.7%
원 3
 
1.7%
Other values (57) 74
40.9%

장애영역명
Categorical

IMBALANCE 

Distinct4
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size436.0 B
지적장애
32 
지체장애
 
3
청각장애
 
2
정서장애
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)2.6%

Sample

1st row지적장애
2nd row지적장애
3rd row정서장애
4th row지적장애
5th row지체장애

Common Values

ValueCountFrequency (%)
지적장애 32
84.2%
지체장애 3
 
7.9%
청각장애 2
 
5.3%
정서장애 1
 
2.6%

Length

2024-04-11T11:13:22.558326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T11:13:22.655871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지적장애 32
84.2%
지체장애 3
 
7.9%
청각장애 2
 
5.3%
정서장애 1
 
2.6%

인가년월일
Date

Distinct35
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Memory size436.0 B
Minimum1962-03-01 00:00:00
Maximum2021-03-01 00:00:00
2024-04-11T11:13:22.749351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:22.857982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)

개교년월일
Date

Distinct34
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Memory size436.0 B
Minimum1962-05-07 00:00:00
Maximum2021-03-05 00:00:00
2024-04-11T11:13:22.974563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:23.086490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)

소재지지번주소
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-04-11T11:13:23.306409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length21.052632
Min length17

Characters and Unicode

Total characters800
Distinct characters116
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

Unique38 ?
Unique (%)100.0%

Sample

1st row경기도 고양시 덕양구 삼송동 99-11번지
2nd row경기도 고양시 일산서구 법곳동 438-1번지
3rd row경기도 고양시 일산동구 마두동 808번지
4th row경기도 고양시 일산서구 탄현동 41-1번지
5th row경기도 광주시 초월읍 지월리 729-6번지
ValueCountFrequency (%)
경기도 38
 
21.2%
고양시 4
 
2.2%
광주시 4
 
2.2%
화성시 3
 
1.7%
수원시 3
 
1.7%
일산서구 2
 
1.1%
용인시 2
 
1.1%
성남시 2
 
1.1%
부천시 2
 
1.1%
파주시 2
 
1.1%
Other values (112) 117
65.4%
2024-04-11T11:13:23.659334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
141
17.6%
지 41
 
5.1%
기 40
 
5.0%
경 38
 
4.8%
번 38
 
4.8%
도 38
 
4.8%
시 37
 
4.6%
동 29
 
3.6%
1 28
 
3.5%
- 19
 
2.4%
Other values (106) 351
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 505
63.1%
Space Separator 141
 
17.6%
Decimal Number 135
 
16.9%
Dash Punctuation 19
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 41
 
8.1%
기 40
 
7.9%
경 38
 
7.5%
번 38
 
7.5%
도 38
 
7.5%
시 37
 
7.3%
동 29
 
5.7%
구 16
 
3.2%
리 11
 
2.2%
양 10
 
2.0%
Other values (94) 207
41.0%
Decimal Number
ValueCountFrequency (%)
1 28
20.7%
3 18
13.3%
6 14
10.4%
8 14
10.4%
2 12
8.9%
5 10
 
7.4%
7 10
 
7.4%
9 10
 
7.4%
4 10
 
7.4%
0 9
 
6.7%
Space Separator
ValueCountFrequency (%)
141
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 505
63.1%
Common 295
36.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 41
 
8.1%
기 40
 
7.9%
경 38
 
7.5%
번 38
 
7.5%
도 38
 
7.5%
시 37
 
7.3%
동 29
 
5.7%
구 16
 
3.2%
리 11
 
2.2%
양 10
 
2.0%
Other values (94) 207
41.0%
Common
ValueCountFrequency (%)
141
47.8%
1 28
 
9.5%
- 19
 
6.4%
3 18
 
6.1%
6 14
 
4.7%
8 14
 
4.7%
2 12
 
4.1%
5 10
 
3.4%
7 10
 
3.4%
9 10
 
3.4%
Other values (2) 19
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 505
63.1%
ASCII 295
36.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
141
47.8%
1 28
 
9.5%
- 19
 
6.4%
3 18
 
6.1%
6 14
 
4.7%
8 14
 
4.7%
2 12
 
4.1%
5 10
 
3.4%
7 10
 
3.4%
9 10
 
3.4%
Other values (2) 19
 
6.4%
Hangul
ValueCountFrequency (%)
지 41
 
8.1%
기 40
 
7.9%
경 38
 
7.5%
번 38
 
7.5%
도 38
 
7.5%
시 37
 
7.3%
동 29
 
5.7%
구 16
 
3.2%
리 11
 
2.2%
양 10
 
2.0%
Other values (94) 207
41.0%

소재지도로명주소
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-04-11T11:13:23.892067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25.5
Mean length20.131579
Min length15

Characters and Unicode

Total characters765
Distinct characters120
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

Unique38 ?
Unique (%)100.0%

Sample

1st row경기도 고양시 덕양구 세솔로 138
2nd row경기도 고양시 일산서구 대화로37번길 104-9
3rd row경기도 고양시 일산동구 일산로 341
4th row경기도 고양시 일산서구 탄현로 42
5th row경기도 광주시 초월읍 경수길 25
ValueCountFrequency (%)
경기도 38
 
21.2%
고양시 4
 
2.2%
광주시 4
 
2.2%
화성시 3
 
1.7%
수원시 3
 
1.7%
일산서구 2
 
1.1%
용인시 2
 
1.1%
성남시 2
 
1.1%
부천시 2
 
1.1%
파주시 2
 
1.1%
Other values (111) 117
65.4%
2024-04-11T11:13:24.237810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
141
18.4%
경 40
 
5.2%
기 40
 
5.2%
도 38
 
5.0%
시 37
 
4.8%
1 30
 
3.9%
로 29
 
3.8%
길 26
 
3.4%
5 20
 
2.6%
2 19
 
2.5%
Other values (110) 345
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 472
61.7%
Decimal Number 144
 
18.8%
Space Separator 141
 
18.4%
Dash Punctuation 8
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 40
 
8.5%
기 40
 
8.5%
도 38
 
8.1%
시 37
 
7.8%
로 29
 
6.1%
길 26
 
5.5%
구 16
 
3.4%
번 14
 
3.0%
산 10
 
2.1%
안 9
 
1.9%
Other values (98) 213
45.1%
Decimal Number
ValueCountFrequency (%)
1 30
20.8%
5 20
13.9%
2 19
13.2%
3 18
12.5%
4 15
10.4%
6 11
 
7.6%
9 10
 
6.9%
7 8
 
5.6%
0 8
 
5.6%
8 5
 
3.5%
Space Separator
ValueCountFrequency (%)
141
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 472
61.7%
Common 293
38.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 40
 
8.5%
기 40
 
8.5%
도 38
 
8.1%
시 37
 
7.8%
로 29
 
6.1%
길 26
 
5.5%
구 16
 
3.4%
번 14
 
3.0%
산 10
 
2.1%
안 9
 
1.9%
Other values (98) 213
45.1%
Common
ValueCountFrequency (%)
141
48.1%
1 30
 
10.2%
5 20
 
6.8%
2 19
 
6.5%
3 18
 
6.1%
4 15
 
5.1%
6 11
 
3.8%
9 10
 
3.4%
7 8
 
2.7%
0 8
 
2.7%
Other values (2) 13
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 472
61.7%
ASCII 293
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
141
48.1%
1 30
 
10.2%
5 20
 
6.8%
2 19
 
6.5%
3 18
 
6.1%
4 15
 
5.1%
6 11
 
3.8%
9 10
 
3.4%
7 8
 
2.7%
0 8
 
2.7%
Other values (2) 13
 
4.4%
Hangul
ValueCountFrequency (%)
경 40
 
8.5%
기 40
 
8.5%
도 38
 
8.1%
시 37
 
7.8%
로 29
 
6.1%
길 26
 
5.5%
구 16
 
3.4%
번 14
 
3.0%
산 10
 
2.1%
안 9
 
1.9%
Other values (98) 213
45.1%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14247.447
Minimum10086
Maximum18584
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-11T11:13:24.353383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10086
5-th percentile10244.65
Q111883
median13709
Q316886.75
95-th percentile18493.65
Maximum18584
Range8498
Interquartile range (IQR)5003.75

Descriptive statistics

Standard deviation2824.4201
Coefficient of variation (CV)0.19824043
Kurtosis-1.4237176
Mean14247.447
Median Absolute Deviation (MAD)2643.5
Skewness0.080891594
Sum541403
Variance7977348.8
MonotonicityNot monotonic
2024-04-11T11:13:24.455747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
10555 1
 
2.6%
17324 1
 
2.6%
12528 1
 
2.6%
18102 1
 
2.6%
16979 1
 
2.6%
17043 1
 
2.6%
16007 1
 
2.6%
11814 1
 
2.6%
11606 1
 
2.6%
10806 1
 
2.6%
Other values (28) 28
73.7%
ValueCountFrequency (%)
10086 1
2.6%
10220 1
2.6%
10249 1
2.6%
10408 1
2.6%
10555 1
2.6%
10806 1
2.6%
10900 1
2.6%
11469 1
2.6%
11606 1
2.6%
11814 1
2.6%
ValueCountFrequency (%)
18584 1
2.6%
18520 1
2.6%
18489 1
2.6%
18102 1
2.6%
18034 1
2.6%
17714 1
2.6%
17505 1
2.6%
17324 1
2.6%
17043 1
2.6%
16979 1
2.6%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.431285
Minimum36.989716
Maximum37.883103
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-11T11:13:24.560962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.989716
5-th percentile37.089458
Q137.277521
median37.412098
Q337.651843
95-th percentile37.770135
Maximum37.883103
Range0.89338752
Interquartile range (IQR)0.37432164

Descriptive statistics

Standard deviation0.2294339
Coefficient of variation (CV)0.0061294691
Kurtosis-0.84999365
Mean37.431285
Median Absolute Deviation (MAD)0.1539978
Skewness0.13476793
Sum1422.3888
Variance0.052639916
MonotonicityNot monotonic
2024-04-11T11:13:24.672663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
37.65649629 1
 
2.6%
37.27827505 1
 
2.6%
37.54527495 1
 
2.6%
37.17644515 1
 
2.6%
37.27726988 1
 
2.6%
37.25096048 1
 
2.6%
37.39639725 1
 
2.6%
37.74548905 1
 
2.6%
37.75887472 1
 
2.6%
37.8831035 1
 
2.6%
Other values (28) 28
73.7%
ValueCountFrequency (%)
36.98971598 1
2.6%
37.0842908 1
2.6%
37.09036992 1
2.6%
37.11273415 1
2.6%
37.17644515 1
2.6%
37.17667039 1
2.6%
37.18069187 1
2.6%
37.25096048 1
2.6%
37.26524033 1
2.6%
37.27726988 1
2.6%
ValueCountFrequency (%)
37.8831035 1
2.6%
37.8339464 1
2.6%
37.75887472 1
2.6%
37.74548905 1
2.6%
37.71878619 1
2.6%
37.69887724 1
2.6%
37.6956769 1
2.6%
37.66746459 1
2.6%
37.66526961 1
2.6%
37.65649629 1
2.6%

WGS84경도
Real number (ℝ)

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.042
Minimum126.65592
Maximum127.68265
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-11T11:13:24.776030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.65592
5-th percentile126.73925
Q1126.87055
median127.03569
Q3127.15159
95-th percentile127.40889
Maximum127.68265
Range1.0267305
Interquartile range (IQR)0.2810424

Descriptive statistics

Standard deviation0.2242604
Coefficient of variation (CV)0.0017652461
Kurtosis0.52972048
Mean127.042
Median Absolute Deviation (MAD)0.162209
Skewness0.61411552
Sum4827.5961
Variance0.050292727
MonotonicityNot monotonic
2024-04-11T11:13:24.895292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
126.8841174 1
 
2.6%
127.4865676 1
 
2.6%
127.6826533 1
 
2.6%
127.0172615 1
 
2.6%
127.1353002 1
 
2.6%
127.1998858 1
 
2.6%
126.9952117 1
 
2.6%
127.1070953 1
 
2.6%
127.0317061 1
 
2.6%
126.8754678 1
 
2.6%
Other values (28) 28
73.7%
ValueCountFrequency (%)
126.6559228 1
2.6%
126.721523 1
2.6%
126.7423797 1
2.6%
126.7728476 1
2.6%
126.7824052 1
2.6%
126.7886575 1
2.6%
126.805765 1
2.6%
126.8370242 1
2.6%
126.8402654 1
2.6%
126.8689117 1
2.6%
ValueCountFrequency (%)
127.6826533 1
2.6%
127.4865676 1
2.6%
127.3951815 1
2.6%
127.3128594 1
2.6%
127.2872178 1
2.6%
127.2645532 1
2.6%
127.2257595 1
2.6%
127.2105556 1
2.6%
127.1998858 1
2.6%
127.1539801 1
2.6%

연락처정보
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-04-11T11:13:25.090602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.026316
Min length11

Characters and Unicode

Total characters457
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

Unique38 ?
Unique (%)100.0%

Sample

1st row02-381-6587
2nd row031-911-7060
3rd row031-931-7801
4th row031-915-2912
5th row031-799-3949
ValueCountFrequency (%)
02-381-6587 1
 
2.6%
031-852-7811 1
 
2.6%
031-351-0806 1
 
2.6%
031-839-6200 1
 
2.6%
031-774-7905 1
 
2.6%
031-370-7900 1
 
2.6%
031-899-2114 1
 
2.6%
031-728-1501 1
 
2.6%
031-426-0020 1
 
2.6%
031-645-6601 1
 
2.6%
Other values (28) 28
73.7%
2024-04-11T11:13:25.585825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 76
16.6%
0 70
15.3%
1 69
15.1%
3 54
11.8%
9 32
7.0%
2 31
6.8%
6 30
 
6.6%
7 30
 
6.6%
8 26
 
5.7%
5 21
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 381
83.4%
Dash Punctuation 76
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 70
18.4%
1 69
18.1%
3 54
14.2%
9 32
8.4%
2 31
8.1%
6 30
7.9%
7 30
7.9%
8 26
 
6.8%
5 21
 
5.5%
4 18
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 457
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 76
16.6%
0 70
15.3%
1 69
15.1%
3 54
11.8%
9 32
7.0%
2 31
6.8%
6 30
 
6.6%
7 30
 
6.6%
8 26
 
5.7%
5 21
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 457
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 76
16.6%
0 70
15.3%
1 69
15.1%
3 54
11.8%
9 32
7.0%
2 31
6.8%
6 30
 
6.6%
7 30
 
6.6%
8 26
 
5.7%
5 21
 
4.6%

홈페이지URL
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-04-11T11:13:25.791335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length21.973684
Min length18

Characters and Unicode

Total characters835
Distinct characters25
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)100.0%

Sample

1st rowhttp://www.myhy.sc.kr
2nd rowhttp://www.bgn.sc.kr
3rd rowhttp://www.kj.sc.kr
4th rowhttp://holt.sc.kr/
5th rowhttp://gjsaerom.sc.kr/
ValueCountFrequency (%)
http://www.myhy.sc.kr 1
 
2.6%
http://www.songmin.sc.kr 1
 
2.6%
http://www.haewon.sc.kr 1
 
2.6%
http://yangjudodam-s.goedy.kr 1
 
2.6%
http://www.changin.or.kr 1
 
2.6%
http://www.seongsim.sc.kr 1
 
2.6%
http://www.kangnam.sc.kr 1
 
2.6%
www.yongindaum.sc.kr 1
 
2.6%
www.jeongeum.sc.kr 1
 
2.6%
http://www.icdawon.sc.kr 1
 
2.6%
Other values (28) 28
73.7%
2024-04-11T11:13:26.099599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 103
12.3%
w 91
10.9%
/ 78
 
9.3%
t 74
 
8.9%
s 54
 
6.5%
h 51
 
6.1%
r 46
 
5.5%
k 43
 
5.1%
p 37
 
4.4%
: 36
 
4.3%
Other values (15) 222
26.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 613
73.4%
Other Punctuation 217
 
26.0%
Dash Punctuation 5
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 91
14.8%
t 74
12.1%
s 54
8.8%
h 51
 
8.3%
r 46
 
7.5%
k 43
 
7.0%
p 37
 
6.0%
c 32
 
5.2%
n 29
 
4.7%
o 25
 
4.1%
Other values (11) 131
21.4%
Other Punctuation
ValueCountFrequency (%)
. 103
47.5%
/ 78
35.9%
: 36
 
16.6%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 613
73.4%
Common 222
 
26.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 91
14.8%
t 74
12.1%
s 54
8.8%
h 51
 
8.3%
r 46
 
7.5%
k 43
 
7.0%
p 37
 
6.0%
c 32
 
5.2%
n 29
 
4.7%
o 25
 
4.1%
Other values (11) 131
21.4%
Common
ValueCountFrequency (%)
. 103
46.4%
/ 78
35.1%
: 36
 
16.2%
- 5
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 835
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 103
12.3%
w 91
10.9%
/ 78
 
9.3%
t 74
 
8.9%
s 54
 
6.5%
h 51
 
6.1%
r 46
 
5.5%
k 43
 
5.1%
p 37
 
4.4%
: 36
 
4.3%
Other values (15) 222
26.6%

Interactions

2024-04-11T11:13:20.937002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:20.488062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:20.728936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:21.002827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:20.600033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:20.791664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:21.067779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:20.667101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:20.863666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-11T11:13:26.204086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명학교유형명학교명장애영역명인가년월일개교년월일소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도연락처정보홈페이지URL
시군명1.0000.0001.0000.0000.9670.9561.0001.0000.9960.9460.8301.0001.000
학교유형명0.0001.0001.0000.4871.0001.0001.0001.0000.0000.0000.0001.0001.000
학교명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
장애영역명0.0000.4871.0001.0000.0000.0001.0001.0000.0000.0000.5161.0001.000
인가년월일0.9671.0001.0000.0001.0000.9941.0001.0000.9090.9550.0001.0001.000
개교년월일0.9561.0001.0000.0000.9941.0001.0001.0000.8250.9110.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지우편번호0.9960.0001.0000.0000.9090.8251.0001.0001.0000.8860.6661.0001.000
WGS84위도0.9460.0001.0000.0000.9550.9111.0001.0000.8861.0000.0001.0001.000
WGS84경도0.8300.0001.0000.5160.0000.0001.0001.0000.6660.0001.0001.0001.000
연락처정보1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
홈페이지URL1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-04-11T11:13:26.339166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
학교유형명장애영역명
학교유형명1.0000.476
장애영역명0.4761.000
2024-04-11T11:13:26.416841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도학교유형명장애영역명
소재지우편번호1.000-0.9160.2560.0000.000
WGS84위도-0.9161.000-0.2770.0000.000
WGS84경도0.256-0.2771.0000.0000.293
학교유형명0.0000.0000.0001.0000.476
장애영역명0.0000.0000.2930.4761.000

Missing values

2024-04-11T11:13:21.177579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-11T11:13:21.319160image/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

시군명학교유형명학교명장애영역명인가년월일개교년월일소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도연락처정보홈페이지URL
0고양시사립명현학교지적장애1970-02-191970-10-10경기도 고양시 덕양구 삼송동 99-11번지경기도 고양시 덕양구 세솔로 1381055537.656496126.88411702-381-6587http://www.myhy.sc.kr
1고양시사립밝은학교지적장애1997-11-171998-03-01경기도 고양시 일산서구 법곳동 438-1번지경기도 고양시 일산서구 대화로37번길 104-91022037.667465126.721523031-911-7060http://www.bgn.sc.kr
2고양시국립한국경진학교정서장애1997-02-271997-11-20경기도 고양시 일산동구 마두동 808번지경기도 고양시 일산동구 일산로 3411040837.66527126.782405031-931-7801http://www.kj.sc.kr
3고양시사립홀트학교지적장애1975-03-051975-03-05경기도 고양시 일산서구 탄현동 41-1번지경기도 고양시 일산서구 탄현로 421024937.695677126.772848031-915-2912http://holt.sc.kr/
4광주시사립광주새롬학교지체장애2016-08-262017-03-01경기도 광주시 초월읍 지월리 729-6번지경기도 광주시 초월읍 경수길 251272837.419137127.287218031-799-3949http://gjsaerom.sc.kr/
5광주시사립동현학교지적장애1996-12-261997-03-01경기도 광주시 곤지암읍 연곡리 81-3번지경기도 광주시 곤지암읍 광여로 555-551272237.371895127.395182031-764-0982http://donghyun.sc.kr
6광주시사립인덕학교지적장애1985-02-151985-03-12경기도 광주시 탄벌동 674-1번지경기도 광주시 사기막길95번길 591274837.413692127.225759031-763-6182http://www.induk.sc.kr
7광주시사립한사랑학교지체장애1996-12-261997-03-01경기도 광주시 초월읍 신월리 313-6번지경기도 광주시 초월읍 산수로554번길 59-121272937.410504127.312859031-762-4891http://www.hsr.sc.kr
8김포시공립새솔학교지적장애2014-01-132014-03-01경기도 김포시 장기동 1888-11번지경기도 김포시 김포한강3로 3151008637.637882126.655923031-999-9110http://saesol.sc.kr/
9남양주시공립경은학교지적장애2008-01-072008-03-01경기도 남양주시 별내면 광전리 145번지경기도 남양주시 별내면 송산로679번길 61209037.698877127.122122031-575-3668http://www.ge-s.sc.kr/
시군명학교유형명학교명장애영역명인가년월일개교년월일소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도연락처정보홈페이지URL
28의정부시사립희망학교지적장애2000-11-012001-03-01경기도 의정부시 녹양동 386-4번지경기도 의정부시 진등로11번길 9-21160637.758875127.031706031-829-8511http://www.huimang.or.kr
29이천시공립다원학교지적장애2016-01-042016-03-01경기도 이천시 부발읍 무촌리 123번지경기도 이천시 부발읍 부발중앙로46번길 211732437.278275127.486568031-645-6601http://www.icdawon.sc.kr
30파주시사립새얼학교지적장애1984-01-041984-03-05경기도 파주시 법원읍 금곡리 414번지경기도 파주시 법원읍 술이홀로1333번길 69-11080637.883103126.875468031-958-7004http://www.saeul.sc.kr
31파주시공립자운학교지적장애2011-02-242011-03-02경기도 파주시 목동동 1090번지경기도 파주시 교하로 2201090037.718786126.74238031-935-8120http://www.jaun.sc.kr
32평택시사립동방학교지적장애1986-12-181987-03-05경기도 평택시 소사동 106-5번지경기도 평택시 소사1길 331803436.989716127.12906031-651-1274http://dongbang-s.goept.kr
33평택시사립에바다학교청각장애1985-09-021986-03-01경기도 평택시 진위면 하북리 72-1번지경기도 평택시 진위면 하북4길 129-231771437.112734127.066034031-611-9342http://www.ebada.sc.kr/
34하남시사립성광학교지적장애1984-12-281985-03-07경기도 하남시 천현동 390번지경기도 하남시 신장로55번길 711296337.532291127.210556031-791-8181http://www.sksk.org
35화성시사립한우리학교청각장애2001-01-052001-03-01경기도 화성시 정남면 관항리 338-6번지경기도 화성시 정남면 관항길 2431852037.180692126.961959031-352-3089http://www.hwr.sc.kr/
36화성시사립해원학교지적장애1999-12-212000-03-01경기도 화성시 장안면 어은리 300번지경기도 화성시 장안면 은골길30번길 431858437.09037126.837024031-351-0806http://www.haewon.sc.kr
37화성시공립화성나래학교지적장애2016-03-022016-03-02경기도 화성시 산척동 677번지경기도 화성시 동탄대로10길 111848937.17667127.107244031-8055-7630http://hsnarae.sc.kr