Overview

Dataset statistics

Number of variables17
Number of observations28
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 KiB
Average record size in memory147.7 B

Variable types

Text7
Categorical5
Numeric4
DateTime1

Dataset

Description전공과 설치 특수학교 현황
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=7XWJO4M0ALDFO9UIGQ9V25303823&infSeq=1

Alerts

3년차학급수(개) has constant value ""Constant
소재지우편번호 is highly overall correlated with WGS84위도High correlation
WGS84위도 is highly overall correlated with 소재지우편번호High correlation
총학급수(개) is highly overall correlated with 1년차학급수(개) and 1 other fieldsHigh correlation
학교유형명 is highly overall correlated with 1년차학급수(개) and 1 other fieldsHigh correlation
장애영역명 is highly overall correlated with 2년차학급수(개)High correlation
1년차학급수(개) is highly overall correlated with 총학급수(개) and 2 other fieldsHigh correlation
2년차학급수(개) is highly overall correlated with 총학급수(개) and 3 other fieldsHigh correlation
장애영역명 is highly imbalanced (62.8%)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
전화번호 has unique valuesUnique
홈페이지URL has unique valuesUnique
설치과정내용 has unique valuesUnique

Reproduction

Analysis started2024-04-11 03:02:02.571550
Analysis finished2024-04-11 03:02:06.069187
Duration3.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Text

Distinct21
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-04-11T12:02:06.175721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0714286
Min length3

Characters and Unicode

Total characters86
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

Unique14 ?
Unique (%)50.0%

Sample

1st row고양시
2nd row고양시
3rd row광주시
4th row광주시
5th row김포시
ValueCountFrequency (%)
고양시 2
 
7.1%
수원시 2
 
7.1%
안산시 2
 
7.1%
파주시 2
 
7.1%
광주시 2
 
7.1%
부천시 2
 
7.1%
성남시 2
 
7.1%
양주시 1
 
3.6%
용인시 1
 
3.6%
하남시 1
 
3.6%
Other values (11) 11
39.3%
2024-04-11T12:02:06.433450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 27
31.4%
주 6
 
7.0%
양 6
 
7.0%
성 4
 
4.7%
남 4
 
4.7%
안 4
 
4.7%
산 3
 
3.5%
천 3
 
3.5%
부 3
 
3.5%
광 2
 
2.3%
Other values (18) 24
27.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 86
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 27
31.4%
주 6
 
7.0%
양 6
 
7.0%
성 4
 
4.7%
남 4
 
4.7%
안 4
 
4.7%
산 3
 
3.5%
천 3
 
3.5%
부 3
 
3.5%
광 2
 
2.3%
Other values (18) 24
27.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 86
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 27
31.4%
주 6
 
7.0%
양 6
 
7.0%
성 4
 
4.7%
남 4
 
4.7%
안 4
 
4.7%
산 3
 
3.5%
천 3
 
3.5%
부 3
 
3.5%
광 2
 
2.3%
Other values (18) 24
27.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 86
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 27
31.4%
주 6
 
7.0%
양 6
 
7.0%
성 4
 
4.7%
남 4
 
4.7%
안 4
 
4.7%
산 3
 
3.5%
천 3
 
3.5%
부 3
 
3.5%
광 2
 
2.3%
Other values (18) 24
27.9%

학교유형명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size356.0 B
공립
14 
사립
12 
국립
2 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공립 14
50.0%
사립 12
42.9%
국립 2
 
7.1%

Length

2024-04-11T12:02:06.541934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T12:02:06.626530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 14
50.0%
사립 12
42.9%
국립 2
 
7.1%

학교명
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-04-11T12:02:06.783574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.7857143
Min length4

Characters and Unicode

Total characters134
Distinct characters54
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

Unique28 ?
Unique (%)100.0%

Sample

1st row한국경진학교
2nd row홀트학교
3rd row광주새롬학교
4th row동현학교
5th row새솔학교
ValueCountFrequency (%)
한국경진학교 1
 
3.6%
홀트학교 1
 
3.6%
성광학교 1
 
3.6%
동방학교 1
 
3.6%
자운학교 1
 
3.6%
새얼학교 1
 
3.6%
다원학교 1
 
3.6%
송민학교 1
 
3.6%
의왕정음학교 1
 
3.6%
용인다움학교 1
 
3.6%
Other values (18) 18
64.3%
2024-04-11T12:02:07.076179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 28
20.9%
교 28
20.9%
성 5
 
3.7%
혜 4
 
3.0%
한 3
 
2.2%
새 3
 
2.2%
은 3
 
2.2%
솔 2
 
1.5%
다 2
 
1.5%
양 2
 
1.5%
Other values (44) 54
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 134
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 28
20.9%
교 28
20.9%
성 5
 
3.7%
혜 4
 
3.0%
한 3
 
2.2%
새 3
 
2.2%
은 3
 
2.2%
솔 2
 
1.5%
다 2
 
1.5%
양 2
 
1.5%
Other values (44) 54
40.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 134
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 28
20.9%
교 28
20.9%
성 5
 
3.7%
혜 4
 
3.0%
한 3
 
2.2%
새 3
 
2.2%
은 3
 
2.2%
솔 2
 
1.5%
다 2
 
1.5%
양 2
 
1.5%
Other values (44) 54
40.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 134
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 28
20.9%
교 28
20.9%
성 5
 
3.7%
혜 4
 
3.0%
한 3
 
2.2%
새 3
 
2.2%
은 3
 
2.2%
솔 2
 
1.5%
다 2
 
1.5%
양 2
 
1.5%
Other values (44) 54
40.3%

장애영역명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size356.0 B
지적장애
25 
지체장애
 
2
정서장애
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
지적장애 25
89.3%
지체장애 2
 
7.1%
정서장애 1
 
3.6%

Length

2024-04-11T12:02:07.184270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T12:02:07.266896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지적장애 25
89.3%
지체장애 2
 
7.1%
정서장애 1
 
3.6%

소재지지번주소
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-04-11T12:02:07.464516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length20.821429
Min length17

Characters and Unicode

Total characters583
Distinct characters103
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

Unique28 ?
Unique (%)100.0%

Sample

1st row경기도 고양시 일산동구 마두동 808번지
2nd row경기도 고양시 일산서구 탄현동 41-1번지
3rd row경기도 광주시 초월읍 지월리 729-6번지
4th row경기도 광주시 곤지암읍 연곡리 81-3번지
5th row경기도 김포시 장기동 1888-11번지
ValueCountFrequency (%)
경기도 28
 
21.4%
파주시 2
 
1.5%
성남시 2
 
1.5%
고양시 2
 
1.5%
부천시 2
 
1.5%
상록구 2
 
1.5%
광주시 2
 
1.5%
안산시 2
 
1.5%
수원시 2
 
1.5%
유방동 1
 
0.8%
Other values (86) 86
65.6%
2024-04-11T12:02:07.814123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
103
17.7%
지 31
 
5.3%
기 29
 
5.0%
경 28
 
4.8%
번 28
 
4.8%
도 28
 
4.8%
시 27
 
4.6%
동 23
 
3.9%
1 21
 
3.6%
- 12
 
2.1%
Other values (93) 253
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 369
63.3%
Space Separator 103
 
17.7%
Decimal Number 99
 
17.0%
Dash Punctuation 12
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 31
 
8.4%
기 29
 
7.9%
경 28
 
7.6%
번 28
 
7.6%
도 28
 
7.6%
시 27
 
7.3%
동 23
 
6.2%
구 12
 
3.3%
리 7
 
1.9%
양 6
 
1.6%
Other values (81) 150
40.7%
Decimal Number
ValueCountFrequency (%)
1 21
21.2%
8 11
11.1%
3 10
10.1%
6 10
10.1%
2 10
10.1%
5 9
9.1%
9 8
 
8.1%
7 8
 
8.1%
0 6
 
6.1%
4 6
 
6.1%
Space Separator
ValueCountFrequency (%)
103
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 369
63.3%
Common 214
36.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 31
 
8.4%
기 29
 
7.9%
경 28
 
7.6%
번 28
 
7.6%
도 28
 
7.6%
시 27
 
7.3%
동 23
 
6.2%
구 12
 
3.3%
리 7
 
1.9%
양 6
 
1.6%
Other values (81) 150
40.7%
Common
ValueCountFrequency (%)
103
48.1%
1 21
 
9.8%
- 12
 
5.6%
8 11
 
5.1%
3 10
 
4.7%
6 10
 
4.7%
2 10
 
4.7%
5 9
 
4.2%
9 8
 
3.7%
7 8
 
3.7%
Other values (2) 12
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 369
63.3%
ASCII 214
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
103
48.1%
1 21
 
9.8%
- 12
 
5.6%
8 11
 
5.1%
3 10
 
4.7%
6 10
 
4.7%
2 10
 
4.7%
5 9
 
4.2%
9 8
 
3.7%
7 8
 
3.7%
Other values (2) 12
 
5.6%
Hangul
ValueCountFrequency (%)
지 31
 
8.4%
기 29
 
7.9%
경 28
 
7.6%
번 28
 
7.6%
도 28
 
7.6%
시 27
 
7.3%
동 23
 
6.2%
구 12
 
3.3%
리 7
 
1.9%
양 6
 
1.6%
Other values (81) 150
40.7%

소재지도로명주소
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-04-11T12:02:08.039587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length26
Mean length19.535714
Min length15

Characters and Unicode

Total characters547
Distinct characters107
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

Unique28 ?
Unique (%)100.0%

Sample

1st row경기도 고양시 일산동구 일산로 341
2nd row경기도 고양시 일산서구 탄현로 42
3rd row경기도 광주시 초월읍 경수길 25
4th row경기도 광주시 곤지암읍 광여로 555-55
5th row경기도 김포시 김포한강3로 315
ValueCountFrequency (%)
경기도 28
 
21.4%
광주시 2
 
1.5%
부천시 2
 
1.5%
수원시 2
 
1.5%
파주시 2
 
1.5%
25 2
 
1.5%
안산시 2
 
1.5%
성남시 2
 
1.5%
상록구 2
 
1.5%
고양시 2
 
1.5%
Other values (85) 85
64.9%
2024-04-11T12:02:08.364845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
103
18.8%
경 30
 
5.5%
도 28
 
5.1%
기 28
 
5.1%
시 27
 
4.9%
로 23
 
4.2%
1 21
 
3.8%
길 16
 
2.9%
2 14
 
2.6%
5 14
 
2.6%
Other values (97) 243
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 342
62.5%
Space Separator 103
 
18.8%
Decimal Number 99
 
18.1%
Dash Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 30
 
8.8%
도 28
 
8.2%
기 28
 
8.2%
시 27
 
7.9%
로 23
 
6.7%
길 16
 
4.7%
구 12
 
3.5%
산 8
 
2.3%
번 8
 
2.3%
주 7
 
2.0%
Other values (85) 155
45.3%
Decimal Number
ValueCountFrequency (%)
1 21
21.2%
2 14
14.1%
5 14
14.1%
3 12
12.1%
6 11
11.1%
4 9
9.1%
0 5
 
5.1%
7 5
 
5.1%
8 4
 
4.0%
9 4
 
4.0%
Space Separator
ValueCountFrequency (%)
103
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 342
62.5%
Common 205
37.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 30
 
8.8%
도 28
 
8.2%
기 28
 
8.2%
시 27
 
7.9%
로 23
 
6.7%
길 16
 
4.7%
구 12
 
3.5%
산 8
 
2.3%
번 8
 
2.3%
주 7
 
2.0%
Other values (85) 155
45.3%
Common
ValueCountFrequency (%)
103
50.2%
1 21
 
10.2%
2 14
 
6.8%
5 14
 
6.8%
3 12
 
5.9%
6 11
 
5.4%
4 9
 
4.4%
0 5
 
2.4%
7 5
 
2.4%
8 4
 
2.0%
Other values (2) 7
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 342
62.5%
ASCII 205
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
103
50.2%
1 21
 
10.2%
2 14
 
6.8%
5 14
 
6.8%
3 12
 
5.9%
6 11
 
5.4%
4 9
 
4.4%
0 5
 
2.4%
7 5
 
2.4%
8 4
 
2.0%
Other values (2) 7
 
3.4%
Hangul
ValueCountFrequency (%)
경 30
 
8.8%
도 28
 
8.2%
기 28
 
8.2%
시 27
 
7.9%
로 23
 
6.7%
길 16
 
4.7%
구 12
 
3.5%
산 8
 
2.3%
번 8
 
2.3%
주 7
 
2.0%
Other values (85) 155
45.3%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14126.357
Minimum10086
Maximum18489
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-04-11T12:02:08.477922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10086
5-th percentile10304.65
Q112021
median13709
Q316523.75
95-th percentile18078.2
Maximum18489
Range8403
Interquartile range (IQR)4502.75

Descriptive statistics

Standard deviation2673.4303
Coefficient of variation (CV)0.18925122
Kurtosis-1.3081536
Mean14126.357
Median Absolute Deviation (MAD)2269
Skewness0.095745676
Sum395538
Variance7147229.8
MonotonicityNot monotonic
2024-04-11T12:02:08.577574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
10408 1
 
3.6%
13910 1
 
3.6%
18489 1
 
3.6%
12963 1
 
3.6%
18034 1
 
3.6%
10900 1
 
3.6%
10806 1
 
3.6%
17324 1
 
3.6%
11814 1
 
3.6%
16007 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
10086 1
3.6%
10249 1
3.6%
10408 1
3.6%
10806 1
3.6%
10900 1
3.6%
11469 1
3.6%
11814 1
3.6%
12090 1
3.6%
12528 1
3.6%
12722 1
3.6%
ValueCountFrequency (%)
18489 1
3.6%
18102 1
3.6%
18034 1
3.6%
17505 1
3.6%
17324 1
3.6%
17043 1
3.6%
16610 1
3.6%
16495 1
3.6%
16007 1
3.6%
15627 1
3.6%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.446537
Minimum36.989716
Maximum37.883103
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-04-11T12:02:08.683940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.989716
5-th percentile37.116583
Q137.282453
median37.426927
Q337.644729
95-th percentile37.802986
Maximum37.883103
Range0.89338752
Interquartile range (IQR)0.36227608

Descriptive statistics

Standard deviation0.22847823
Coefficient of variation (CV)0.0061014517
Kurtosis-0.63417206
Mean37.446537
Median Absolute Deviation (MAD)0.15516955
Skewness0.085431694
Sum1048.503
Variance0.052202304
MonotonicityNot monotonic
2024-04-11T12:02:08.785222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
37.66526961 1
 
3.6%
37.43471709 1
 
3.6%
37.17667039 1
 
3.6%
37.53229073 1
 
3.6%
36.98971598 1
 
3.6%
37.71878619 1
 
3.6%
37.8831035 1
 
3.6%
37.27827505 1
 
3.6%
37.74548905 1
 
3.6%
37.39639725 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
36.98971598 1
3.6%
37.08434958 1
3.6%
37.17644515 1
3.6%
37.17667039 1
3.6%
37.25096048 1
3.6%
37.26524033 1
3.6%
37.27827505 1
3.6%
37.28384577 1
3.6%
37.28496091 1
3.6%
37.28775606 1
3.6%
ValueCountFrequency (%)
37.8831035 1
3.6%
37.8339464 1
3.6%
37.74548905 1
3.6%
37.71878619 1
3.6%
37.69887724 1
3.6%
37.6956769 1
3.6%
37.66526961 1
3.6%
37.63788236 1
3.6%
37.54527495 1
3.6%
37.53229073 1
3.6%

WGS84경도
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.05165
Minimum126.65592
Maximum127.68265
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-04-11T12:02:08.904571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.65592
5-th percentile126.75304
Q1126.86175
median127.06028
Q3127.16546
95-th percentile127.45458
Maximum127.68265
Range1.0267305
Interquartile range (IQR)0.3037064

Descriptive statistics

Standard deviation0.24044041
Coefficient of variation (CV)0.0018924619
Kurtosis0.40986297
Mean127.05165
Median Absolute Deviation (MAD)0.1675439
Skewness0.62254466
Sum3557.4463
Variance0.05781159
MonotonicityNot monotonic
2024-04-11T12:02:09.015887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
126.7824052 1
 
3.6%
126.9129535 1
 
3.6%
127.1072436 1
 
3.6%
127.2105556 1
 
3.6%
127.1290602 1
 
3.6%
126.7423797 1
 
3.6%
126.8754678 1
 
3.6%
127.4865676 1
 
3.6%
127.1070953 1
 
3.6%
126.9952117 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
126.6559228 1
3.6%
126.7423797 1
3.6%
126.7728476 1
3.6%
126.7824052 1
3.6%
126.7886575 1
3.6%
126.805765 1
3.6%
126.8402654 1
3.6%
126.8689117 1
3.6%
126.8754678 1
3.6%
126.9129535 1
3.6%
ValueCountFrequency (%)
127.6826533 1
3.6%
127.4865676 1
3.6%
127.3951815 1
3.6%
127.2872178 1
3.6%
127.2644814 1
3.6%
127.2105556 1
3.6%
127.1998858 1
3.6%
127.1539801 1
3.6%
127.1444322 1
3.6%
127.1290602 1
3.6%

전화번호
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-04-11T12:02:09.192510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.071429
Min length12

Characters and Unicode

Total characters338
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

Unique28 ?
Unique (%)100.0%

Sample

1st row031-931-7801
2nd row031-915-2913
3rd row031-799-3949
4th row031-764-0982
5th row031-999-9110
ValueCountFrequency (%)
031-931-7801 1
 
3.6%
031-915-2913 1
 
3.6%
031-791-8181 1
 
3.6%
031-651-1274 1
 
3.6%
031-935-8130 1
 
3.6%
031-958-7004 1
 
3.6%
031-645-6601 1
 
3.6%
031-852-7813 1
 
3.6%
031-426-0019 1
 
3.6%
031-728-1500 1
 
3.6%
Other values (18) 18
64.3%
2024-04-11T12:02:09.482248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 56
16.6%
0 53
15.7%
1 47
13.9%
3 42
12.4%
9 25
7.4%
7 24
7.1%
6 24
7.1%
2 19
 
5.6%
8 17
 
5.0%
5 16
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 282
83.4%
Dash Punctuation 56
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 53
18.8%
1 47
16.7%
3 42
14.9%
9 25
8.9%
7 24
8.5%
6 24
8.5%
2 19
 
6.7%
8 17
 
6.0%
5 16
 
5.7%
4 15
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 338
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 56
16.6%
0 53
15.7%
1 47
13.9%
3 42
12.4%
9 25
7.4%
7 24
7.1%
6 24
7.1%
2 19
 
5.6%
8 17
 
5.0%
5 16
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 338
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 56
16.6%
0 53
15.7%
1 47
13.9%
3 42
12.4%
9 25
7.4%
7 24
7.1%
6 24
7.1%
2 19
 
5.6%
8 17
 
5.0%
5 16
 
4.7%

홈페이지URL
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-04-11T12:02:09.691349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length22.321429
Min length18

Characters and Unicode

Total characters625
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

Unique28 ?
Unique (%)100.0%

Sample

1st rowhttp://www.kj.sc.kr
2nd rowhttp://holt.sc.kr/
3rd rowhttp://gjsaerom.sc.kr/
4th rowhttp://donghyun.sc.kr
5th rowhttp://saesol.sc.kr/
ValueCountFrequency (%)
http://www.kj.sc.kr 1
 
3.6%
http://holt.sc.kr 1
 
3.6%
http://www.sksk.org 1
 
3.6%
http://www.dongbang.sc.kr 1
 
3.6%
http://www.jaun.sc.kr 1
 
3.6%
http://www.saeul.sc.kr 1
 
3.6%
http://www.icdawon.sc.kr 1
 
3.6%
http://www.songmin.sc.kr 1
 
3.6%
http://www.jeongeum.sc.kr 1
 
3.6%
http://www.yongindaum.sc.kr 1
 
3.6%
Other values (18) 18
64.3%
2024-04-11T12:02:10.243923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 77
12.3%
w 70
11.2%
/ 63
 
10.1%
t 57
 
9.1%
s 41
 
6.6%
h 38
 
6.1%
r 33
 
5.3%
k 30
 
4.8%
p 28
 
4.5%
: 28
 
4.5%
Other values (15) 160
25.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 456
73.0%
Other Punctuation 168
 
26.9%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 70
15.4%
t 57
12.5%
s 41
9.0%
h 38
8.3%
r 33
 
7.2%
k 30
 
6.6%
p 28
 
6.1%
c 27
 
5.9%
n 20
 
4.4%
o 18
 
3.9%
Other values (11) 94
20.6%
Other Punctuation
ValueCountFrequency (%)
. 77
45.8%
/ 63
37.5%
: 28
 
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 456
73.0%
Common 169
 
27.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 70
15.4%
t 57
12.5%
s 41
9.0%
h 38
8.3%
r 33
 
7.2%
k 30
 
6.6%
p 28
 
6.1%
c 27
 
5.9%
n 20
 
4.4%
o 18
 
3.9%
Other values (11) 94
20.6%
Common
ValueCountFrequency (%)
. 77
45.6%
/ 63
37.3%
: 28
 
16.6%
- 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 625
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 77
12.3%
w 70
11.2%
/ 63
 
10.1%
t 57
 
9.1%
s 41
 
6.6%
h 38
 
6.1%
r 33
 
5.3%
k 30
 
4.8%
p 28
 
4.5%
: 28
 
4.5%
Other values (15) 160
25.6%

인가년월일
Date

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size356.0 B
Minimum1993-03-01 00:00:00
Maximum2021-03-01 00:00:00
2024-04-11T12:02:10.355082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:02:10.451490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

총학급수(개)
Real number (ℝ)

HIGH CORRELATION 

Distinct7
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.25
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-04-11T12:02:10.536836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12.75
median4
Q36
95-th percentile7.3
Maximum8
Range7
Interquartile range (IQR)3.25

Descriptive statistics

Standard deviation1.8584143
Coefficient of variation (CV)0.43727395
Kurtosis-0.53574461
Mean4.25
Median Absolute Deviation (MAD)2
Skewness0.24002794
Sum119
Variance3.4537037
MonotonicityNot monotonic
2024-04-11T12:02:10.631256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 10
35.7%
6 7
25.0%
2 6
21.4%
8 2
 
7.1%
1 1
 
3.6%
5 1
 
3.6%
3 1
 
3.6%
ValueCountFrequency (%)
1 1
 
3.6%
2 6
21.4%
3 1
 
3.6%
4 10
35.7%
5 1
 
3.6%
6 7
25.0%
8 2
 
7.1%
ValueCountFrequency (%)
8 2
 
7.1%
6 7
25.0%
5 1
 
3.6%
4 10
35.7%
3 1
 
3.6%
2 6
21.4%
1 1
 
3.6%

1년차학급수(개)
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size356.0 B
2
10 
3
8 
1
7 
4
3 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row2
3rd row1
4th row1
5th row3

Common Values

ValueCountFrequency (%)
2 10
35.7%
3 8
28.6%
1 7
25.0%
4 3
 
10.7%

Length

2024-04-11T12:02:10.732659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T12:02:10.813960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 10
35.7%
3 8
28.6%
1 7
25.0%
4 3
 
10.7%

2년차학급수(개)
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Memory size356.0 B
2
10 
1
7 
3
7 
0
2 
4
2 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row2
3rd row0
4th row1
5th row2

Common Values

ValueCountFrequency (%)
2 10
35.7%
1 7
25.0%
3 7
25.0%
0 2
 
7.1%
4 2
 
7.1%

Length

2024-04-11T12:02:10.915689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T12:02:11.007340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 10
35.7%
1 7
25.0%
3 7
25.0%
0 2
 
7.1%
4 2
 
7.1%

3년차학급수(개)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
0
28 

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 28
100.0%

Length

2024-04-11T12:02:11.099843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T12:02:11.175005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
100.0%

설치과정내용
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-04-11T12:02:11.395450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length49.5
Mean length45.142857
Min length8

Characters and Unicode

Total characters1264
Distinct characters119
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st row제과·제빵, 바리스타, 포장·조립, 진로와 직업, 현장실습, 재배용역, 작물재배, 농장실습
2nd row직업준비, 서비스, 포장·조립, 여가생활, 현장실습, 재배, 직무조회
3rd row원예, 정보처리, 공예, 포장·조립
4th row직업현장실습, 농업, 서비스, 사무보조, 여가생활, 기초작업기술
5th row농업, 환경미화, 외식서비스, 생활대인서비스, 임가공, 작업현장실습, 직업과 생활, 실용예체능, 행정사무
ValueCountFrequency (%)
외식서비스 12
 
5.5%
제과·제빵 9
 
4.1%
사무지원 7
 
3.2%
현장실습 7
 
3.2%
포장·조립 6
 
2.7%
포장·조립·운반 6
 
2.7%
생활원예 6
 
2.7%
대인서비스 6
 
2.7%
바리스타 6
 
2.7%
직업준비 5
 
2.3%
Other values (92) 149
68.0%
2024-04-11T12:02:11.782192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
191
 
15.1%
, 170
 
13.4%
생 44
 
3.5%
스 42
 
3.3%
활 41
 
3.2%
비 37
 
2.9%
업 35
 
2.8%
· 34
 
2.7%
서 32
 
2.5%
장 30
 
2.4%
Other values (109) 608
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 861
68.1%
Other Punctuation 204
 
16.1%
Space Separator 191
 
15.1%
Close Punctuation 3
 
0.2%
Open Punctuation 3
 
0.2%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
생 44
 
5.1%
스 42
 
4.9%
활 41
 
4.8%
비 37
 
4.3%
업 35
 
4.1%
서 32
 
3.7%
장 30
 
3.5%
제 30
 
3.5%
직 25
 
2.9%
실 21
 
2.4%
Other values (102) 524
60.9%
Other Punctuation
ValueCountFrequency (%)
, 170
83.3%
· 34
 
16.7%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
191
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 861
68.1%
Common 403
31.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
생 44
 
5.1%
스 42
 
4.9%
활 41
 
4.8%
비 37
 
4.3%
업 35
 
4.1%
서 32
 
3.7%
장 30
 
3.5%
제 30
 
3.5%
직 25
 
2.9%
실 21
 
2.4%
Other values (102) 524
60.9%
Common
ValueCountFrequency (%)
191
47.4%
, 170
42.2%
· 34
 
8.4%
) 3
 
0.7%
( 3
 
0.7%
2 1
 
0.2%
1 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 861
68.1%
ASCII 369
29.2%
None 34
 
2.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
191
51.8%
, 170
46.1%
) 3
 
0.8%
( 3
 
0.8%
2 1
 
0.3%
1 1
 
0.3%
Hangul
ValueCountFrequency (%)
생 44
 
5.1%
스 42
 
4.9%
활 41
 
4.8%
비 37
 
4.3%
업 35
 
4.1%
서 32
 
3.7%
장 30
 
3.5%
제 30
 
3.5%
직 25
 
2.9%
실 21
 
2.4%
Other values (102) 524
60.9%
None
ValueCountFrequency (%)
· 34
100.0%

Interactions

2024-04-11T12:02:05.447406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:02:04.566751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:02:04.916731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:02:05.180182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:02:05.517056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:02:04.685929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:02:04.979035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:02:05.249413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:02:05.587252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:02:04.763436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:02:05.040252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:02:05.311583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:02:05.661699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:02:04.837679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:02:05.105788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:02:05.376713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-11T12:02:11.890757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명학교유형명학교명장애영역명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도전화번호홈페이지URL인가년월일총학급수(개)1년차학급수(개)2년차학급수(개)설치과정내용
시군명1.0000.0001.0000.0001.0001.0000.9980.9710.8861.0001.0000.8670.7450.7800.5191.000
학교유형명0.0001.0001.0000.8161.0001.0000.0000.0000.0001.0001.0001.0000.5140.5350.6161.000
학교명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
장애영역명0.0000.8161.0001.0001.0001.0000.0000.0000.4261.0001.0001.0000.4550.4310.5901.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지우편번호0.9980.0001.0000.0001.0001.0001.0000.8440.7191.0001.0000.8920.0000.5070.2821.000
WGS84위도0.9710.0001.0000.0001.0001.0000.8441.0000.0001.0001.0000.8950.0000.3280.0001.000
WGS84경도0.8860.0001.0000.4261.0001.0000.7190.0001.0001.0001.0000.8060.7410.5470.6981.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
홈페이지URL1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
인가년월일0.8671.0001.0001.0001.0001.0000.8920.8950.8061.0001.0001.0000.9790.9420.9621.000
총학급수(개)0.7450.5141.0000.4551.0001.0000.0000.0000.7411.0001.0000.9791.0000.9310.9351.000
1년차학급수(개)0.7800.5351.0000.4311.0001.0000.5070.3280.5471.0001.0000.9420.9311.0000.8751.000
2년차학급수(개)0.5190.6161.0000.5901.0001.0000.2820.0000.6981.0001.0000.9620.9350.8751.0001.000
설치과정내용1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-04-11T12:02:12.029453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2년차학급수(개)장애영역명학교유형명1년차학급수(개)
2년차학급수(개)1.0000.5150.5450.846
장애영역명0.5151.0000.4830.411
학교유형명0.5450.4831.0000.525
1년차학급수(개)0.8460.4110.5251.000
2024-04-11T12:02:12.113532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도총학급수(개)학교유형명장애영역명1년차학급수(개)2년차학급수(개)
소재지우편번호1.000-0.9150.328-0.0770.0000.0000.2640.000
WGS84위도-0.9151.000-0.3490.1490.0000.0000.1330.000
WGS84경도0.328-0.3491.000-0.2420.0000.2150.2920.301
총학급수(개)-0.0770.149-0.2421.0000.3580.3030.8540.869
학교유형명0.0000.0000.0000.3581.0000.4830.5250.545
장애영역명0.0000.0000.2150.3030.4831.0000.4110.515
1년차학급수(개)0.2640.1330.2920.8540.5250.4111.0000.846
2년차학급수(개)0.0000.0000.3010.8690.5450.5150.8461.000

Missing values

2024-04-11T12:02:05.791650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-11T12:02:05.997280image/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

시군명학교유형명학교명장애영역명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도전화번호홈페이지URL인가년월일총학급수(개)1년차학급수(개)2년차학급수(개)3년차학급수(개)설치과정내용
0고양시국립한국경진학교정서장애경기도 고양시 일산동구 마두동 808번지경기도 고양시 일산동구 일산로 3411040837.66527126.782405031-931-7801http://www.kj.sc.kr2009-11-274400제과·제빵, 바리스타, 포장·조립, 진로와 직업, 현장실습, 재배용역, 작물재배, 농장실습
1고양시사립홀트학교지적장애경기도 고양시 일산서구 탄현동 41-1번지경기도 고양시 일산서구 탄현로 421024937.695677126.772848031-915-2913http://holt.sc.kr/2011-03-024220직업준비, 서비스, 포장·조립, 여가생활, 현장실습, 재배, 직무조회
2광주시사립광주새롬학교지체장애경기도 광주시 초월읍 지월리 729-6번지경기도 광주시 초월읍 경수길 251272837.419137127.287218031-799-3949http://gjsaerom.sc.kr/2016-08-261100원예, 정보처리, 공예, 포장·조립
3광주시사립동현학교지적장애경기도 광주시 곤지암읍 연곡리 81-3번지경기도 광주시 곤지암읍 광여로 555-551272237.371895127.395182031-764-0982http://donghyun.sc.kr2011-01-312110직업현장실습, 농업, 서비스, 사무보조, 여가생활, 기초작업기술
4김포시공립새솔학교지적장애경기도 김포시 장기동 1888-11번지경기도 김포시 김포한강3로 3151008637.637882126.655923031-999-9110http://saesol.sc.kr/2014-01-135320농업, 환경미화, 외식서비스, 생활대인서비스, 임가공, 작업현장실습, 직업과 생활, 실용예체능, 행정사무
5남양주시공립경은학교지적장애경기도 남양주시 별내면 광전리 145번지경기도 남양주시 별내면 송산로679번길 61209037.698877127.122122031-575-3668http://www.ge-s.sc.kr/2011-02-116330포장·조립·운반, 생활원예
6부천시공립부천상록학교지적장애경기도 부천시 원미구 춘의동 246번지경기도 부천시 원미구 길주로 5741465537.50609126.805765032-678-2811http://www.sangrok.sc.kr2008-01-176330기초작업 재배, 대인서비스, 포장·조립·운반, 서비스, 제과·제빵, 자동차 외장관리, 사무지원, 재배임가공
7부천시사립부천혜림학교지적장애경기도 부천시 소사구 심곡본동 523-99번지경기도 부천시 소사구 경인로304번길 261475337.480905126.788657032-666-7995http://www.hl.sc.kr2011-12-302110직업생활, 직업준비, 직장예절, 커피가공, 외식서비스, 대인서비스, 물류관리
8성남시공립성남혜은학교지적장애경기도 성남시 수정구 단대동 192번지경기도 성남시 수정구 희망로518번길 81314537.450107127.15398031-734-5022http://www.hyeeun.sc.kr1996-01-298440서비스업무, 현장실습, 생활원예, 일상생활기술, 외식서비스, 제조업실무, 클린서비스, 생활체육
9성남시공립성은학교지적장애경기도 성남시 분당구 야탑동 172번지경기도 성남시 분당구 돌마로 8661350837.40897127.144432031-706-6983http://www.sbse.sc.kr2002-08-018440행정실무, 서비스실무, 판매관리, 제과·제빵, 친환경원예, 식품가공, 생활서비스, 생활공예
시군명학교유형명학교명장애영역명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도전화번호홈페이지URL인가년월일총학급수(개)1년차학급수(개)2년차학급수(개)3년차학급수(개)설치과정내용
18오산시사립성심학교지적장애경기도 오산시 지곶동 559-1번지경기도 오산시 독산성로 140-241810237.176445127.017262031-370-7930http://www.seongsim.sc.kr2009-11-174220목공, 바리스타, 제과·제빵, 스팀세차, 휠마스터, 세탁, 현장실습, 교양
19용인시공립용인다움학교지적장애경기도 용인시 처인구 유방동 559번지경기도 용인시 처인구 백옥대로1191번길 1621704337.25096127.199886031-728-1500http://www.yongindaum.sc.kr/2021-01-086330생활원예, 직업생활, 포장·조립, 용역서비스, 외식서비스, 여가생활, 현장실습, 제과·제빵, 사무지원, 체육
20의왕시공립의왕정음학교지적장애경기도 의왕시 포일동 688번지경기도 의왕시 벌모루길 741600737.396397126.995212031-426-0019http://www.jeongeum.sc.kr/2021-03-014220농생명, 대인서비스, 외식서비스, 직업준비, 직업현장실습, 정보처리, 기초작업기술
21의정부시공립송민학교지적장애경기도 의정부시 민락동 856번지경기도 의정부시 민락로 2621181437.745489127.107095031-852-7813http://www.songmin.sc.kr2013-01-046330바리스타, 제과· 제빵, 생활공예, 생활원예, 서비스실무, 대인서비스 등
22이천시공립다원학교지적장애경기도 이천시 부발읍 무촌리 123번지경기도 이천시 부발읍 부발중앙로46번길 211732437.278275127.486568031-645-6601http://www.icdawon.sc.kr2016-01-044220사무지원, 제과· 제빵, 농업, 외식서비스, 용역서비스, 현장실습, 직업과 생활, 여가생활, 포장·조립·운반, 생활원예
23파주시사립새얼학교지적장애경기도 파주시 법원읍 금곡리 414번지경기도 파주시 법원읍 술이홀로1333번길 69-11080637.883103126.875468031-958-7004http://www.saeul.sc.kr1996-02-213210제과·제빵, 제품디자인, 공예, 농생명, 직업생활, 자립생활, 현장실습, 여가활용, 스포츠
24파주시공립자운학교지적장애경기도 파주시 목동동 1090번지경기도 파주시 교하로 2201090037.718786126.74238031-935-8130http://www.jaun.sc.kr2011-11-296330포장·조립· 운반, 농생명(원예), 허브재배임가공, 가정관리, 외식서비스, 판매관리, 사무지원, 환경서비스 등
25평택시사립동방학교지적장애경기도 평택시 소사동 106-5번지경기도 평택시 소사1길 331803436.989716127.12906031-651-1274http://www.dongbang.sc.kr1999-01-284220직업기능(농생명부, 제과· 제빵, 대인서비스, 외식서비스), 직업실습, 진로와 직업, 동아리, 창의적 체험활동
26하남시사립성광학교지적장애경기도 하남시 천현동 390번지경기도 하남시 신장로55번길 711296337.532291127.210556031-791-8181http://www.sksk.org2011-03-142110포장·조립, 가정생활, 직업생활, 바리스타, 여가생활, 제빵, 사회생활
27화성시공립화성나래학교지적장애경기도 화성시 산척동 677번지경기도 화성시 동탄대로10길 111848937.17667127.107244031-8055-7600http://hsnarae.sc.kr2016-01-044220포장·조립·운반, 외식서비스