Overview

Dataset statistics

Number of variables9
Number of observations197
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.2 KiB
Average record size in memory73.7 B

Variable types

Categorical1
Text7
Numeric1

Dataset

Description특수교육 지원센터의 현황으로 시도, 교육청, 센터명, 우편번호, 주소, 전화번호, 팩스번호, 설치된 기관, 홈페이지 주소를 포함
Author교육부 국립특수교육원
URLhttps://www.data.go.kr/data/15052681/fileData.do

Alerts

우편번호 is highly overall correlated with 시도High correlation
시도 is highly overall correlated with 우편번호High correlation
주소 has unique valuesUnique
전화번호 has unique valuesUnique
팩스 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:18:01.162325
Analysis finished2023-12-12 07:18:01.924953
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
경기
27 
경북
24 
전남
23 
경남
21 
강원
18 
Other values (12)
84 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
경기 27
13.7%
경북 24
12.2%
전남 23
11.7%
경남 21
10.7%
강원 18
9.1%
전북 15
7.6%
충남 15
7.6%
서울 11
5.6%
충북 11
5.6%
부산 6
 
3.0%
Other values (7) 26
13.2%

Length

2023-12-12T16:18:01.977466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기 27
13.7%
경북 24
12.2%
전남 23
11.7%
경남 21
10.7%
강원 18
9.1%
전북 15
7.6%
충남 15
7.6%
충북 11
5.6%
서울 11
5.6%
부산 6
 
3.0%
Other values (7) 26
13.2%

교육청
Text

Distinct192
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T16:18:02.147324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length10.411168
Min length6

Characters and Unicode

Total characters2051
Distinct characters133
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

Unique188 ?
Unique (%)95.4%

Sample

1st row서울특별시강남서초교육지원청
2nd row서울특별시강동송파교육지원청
3rd row서울특별시강서양천교육지원청
4th row서울특별시남부교육지원청
5th row서울특별시동부교육지원청
ValueCountFrequency (%)
창원교육지원청 3
 
1.5%
대전광역시교육청 2
 
1.0%
대전광역시동부교육지원청 2
 
1.0%
경기도구리남양주교육지원청 2
 
1.0%
전라남도목포교육지원청 1
 
0.5%
전라남도순천교육지원청 1
 
0.5%
서울특별시강남서초교육지원청 1
 
0.5%
전라남도무안교육지원청 1
 
0.5%
전라남도고흥교육지원청 1
 
0.5%
전라남도곡성교육지원청 1
 
0.5%
Other values (182) 182
92.4%
2023-12-12T16:18:02.820370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
청 228
 
11.1%
원 205
 
10.0%
교 197
 
9.6%
육 197
 
9.6%
지 180
 
8.8%
도 138
 
6.7%
북 56
 
2.7%
경 55
 
2.7%
남 52
 
2.5%
전 44
 
2.1%
Other values (123) 699
34.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2051
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 228
 
11.1%
원 205
 
10.0%
교 197
 
9.6%
육 197
 
9.6%
지 180
 
8.8%
도 138
 
6.7%
북 56
 
2.7%
경 55
 
2.7%
남 52
 
2.5%
전 44
 
2.1%
Other values (123) 699
34.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2051
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 228
 
11.1%
원 205
 
10.0%
교 197
 
9.6%
육 197
 
9.6%
지 180
 
8.8%
도 138
 
6.7%
북 56
 
2.7%
경 55
 
2.7%
남 52
 
2.5%
전 44
 
2.1%
Other values (123) 699
34.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2051
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
청 228
 
11.1%
원 205
 
10.0%
교 197
 
9.6%
육 197
 
9.6%
지 180
 
8.8%
도 138
 
6.7%
북 56
 
2.7%
경 55
 
2.7%
남 52
 
2.5%
전 44
 
2.1%
Other values (123) 699
34.1%

센터명
Text

Distinct186
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T16:18:03.033220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length10
Mean length10.532995
Min length7

Characters and Unicode

Total characters2075
Distinct characters144
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique181 ?
Unique (%)91.9%

Sample

1st row강남서초특수교육지원센터
2nd row강동송파특수교육지원센터
3rd row강서양천특수교육지원센터
4th row남부특수교육지원센터
5th row동부특수교육지원센터
ValueCountFrequency (%)
남부특수교육지원센터 4
 
2.0%
서부특수교육지원센터 4
 
2.0%
동부특수교육지원센터 3
 
1.5%
북부특수교육지원센터 3
 
1.5%
특수교육지원센터 3
 
1.5%
고성특수교육지원센터 2
 
1.0%
순천특수교육지원센터 1
 
0.5%
화순특수교육지원센터 1
 
0.5%
영광특수교육지원센터 1
 
0.5%
구례특수교육지원센터 1
 
0.5%
Other values (177) 177
88.5%
2023-12-12T16:18:03.314261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 205
9.9%
교 203
9.8%
육 203
9.8%
수 200
9.6%
특 199
9.6%
터 195
9.4%
지 195
9.4%
센 195
9.4%
부 24
 
1.2%
주 22
 
1.1%
Other values (134) 434
20.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2066
99.6%
Space Separator 3
 
0.1%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 205
9.9%
교 203
9.8%
육 203
9.8%
수 200
9.7%
특 199
9.6%
터 195
9.4%
지 195
9.4%
센 195
9.4%
부 24
 
1.2%
주 22
 
1.1%
Other values (129) 425
20.6%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2066
99.6%
Common 9
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 205
9.9%
교 203
9.8%
육 203
9.8%
수 200
9.7%
특 199
9.6%
터 195
9.4%
지 195
9.4%
센 195
9.4%
부 24
 
1.2%
주 22
 
1.1%
Other values (129) 425
20.6%
Common
ValueCountFrequency (%)
3
33.3%
) 2
22.2%
( 2
22.2%
1 1
 
11.1%
2 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2066
99.6%
ASCII 9
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 205
9.9%
교 203
9.8%
육 203
9.8%
수 200
9.7%
특 199
9.6%
터 195
9.4%
지 195
9.4%
센 195
9.4%
부 24
 
1.2%
주 22
 
1.1%
Other values (129) 425
20.6%
ASCII
ValueCountFrequency (%)
3
33.3%
) 2
22.2%
( 2
22.2%
1 1
 
11.1%
2 1
 
11.1%

우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct196
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36482.614
Minimum1755
Maximum63603
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-12T16:18:03.428720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1755
5-th percentile8237.2
Q124631
median36542
Q352418
95-th percentile59255.2
Maximum63603
Range61848
Interquartile range (IQR)27787

Descriptive statistics

Standard deviation16955.075
Coefficient of variation (CV)0.46474398
Kurtosis-1.0829288
Mean36482.614
Median Absolute Deviation (MAD)14374
Skewness-0.20634547
Sum7187075
Variance2.8747458 × 108
MonotonicityNot monotonic
2023-12-12T16:18:03.567021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57146 2
 
1.0%
6341 1
 
0.5%
56188 1
 
0.5%
59239 1
 
0.5%
59542 1
 
0.5%
57541 1
 
0.5%
57753 1
 
0.5%
57653 1
 
0.5%
58263 1
 
0.5%
57364 1
 
0.5%
Other values (186) 186
94.4%
ValueCountFrequency (%)
1755 1
0.5%
2050 1
0.5%
2736 1
0.5%
3470 1
0.5%
4589 1
0.5%
4746 1
0.5%
5677 1
0.5%
6341 1
0.5%
7066 1
0.5%
7902 1
0.5%
ValueCountFrequency (%)
63603 1
0.5%
63224 1
0.5%
63119 1
0.5%
62252 1
0.5%
61946 1
0.5%
61212 1
0.5%
59742 1
0.5%
59542 1
0.5%
59455 1
0.5%
59320 1
0.5%

주소
Text

UNIQUE 

Distinct197
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T16:18:03.897558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length42
Mean length30
Min length19

Characters and Unicode

Total characters5910
Distinct characters263
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique197 ?
Unique (%)100.0%

Sample

1st row서울특별시 강남구 양재대로55길 28 (일원동, 서울대청초등학교)
2nd row서울특별시 송파구 송파대로36길 8 (송파동, 서울중대초등학교)
3rd row서울특별시 양천구 월정로 269 (신월동, 강서양천교육지원청)
4th row서울특별시 구로구 남부순환로105길 218 (가리봉동, 서울영일초등학교)
5th row서울특별시 중랑구 동일로138길 27 (중화동, 서울묵동초등학교)
ValueCountFrequency (%)
경기도 27
 
2.2%
경상북도 24
 
2.0%
전라남도 23
 
1.9%
경상남도 21
 
1.7%
강원도 18
 
1.5%
충청남도 15
 
1.2%
전라북도 15
 
1.2%
서울특별시 11
 
0.9%
충청북도 11
 
0.9%
14 6
 
0.5%
Other values (813) 1030
85.8%
2023-12-12T16:18:04.324984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1007
 
17.0%
도 199
 
3.4%
( 193
 
3.3%
) 193
 
3.3%
읍 168
 
2.8%
로 163
 
2.8%
1 144
 
2.4%
동 142
 
2.4%
시 125
 
2.1%
원 105
 
1.8%
Other values (253) 3471
58.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3772
63.8%
Space Separator 1007
 
17.0%
Decimal Number 641
 
10.8%
Open Punctuation 193
 
3.3%
Close Punctuation 193
 
3.3%
Other Punctuation 83
 
1.4%
Dash Punctuation 20
 
0.3%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 199
 
5.3%
읍 168
 
4.5%
로 163
 
4.3%
동 142
 
3.8%
시 125
 
3.3%
원 105
 
2.8%
교 99
 
2.6%
청 95
 
2.5%
군 91
 
2.4%
남 90
 
2.4%
Other values (237) 2495
66.1%
Decimal Number
ValueCountFrequency (%)
1 144
22.5%
2 104
16.2%
3 77
12.0%
5 65
10.1%
4 51
 
8.0%
7 43
 
6.7%
6 42
 
6.6%
9 42
 
6.6%
0 38
 
5.9%
8 35
 
5.5%
Space Separator
ValueCountFrequency (%)
1007
100.0%
Open Punctuation
ValueCountFrequency (%)
( 193
100.0%
Close Punctuation
ValueCountFrequency (%)
) 193
100.0%
Other Punctuation
ValueCountFrequency (%)
, 83
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3772
63.8%
Common 2137
36.2%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 199
 
5.3%
읍 168
 
4.5%
로 163
 
4.3%
동 142
 
3.8%
시 125
 
3.3%
원 105
 
2.8%
교 99
 
2.6%
청 95
 
2.5%
군 91
 
2.4%
남 90
 
2.4%
Other values (237) 2495
66.1%
Common
ValueCountFrequency (%)
1007
47.1%
( 193
 
9.0%
) 193
 
9.0%
1 144
 
6.7%
2 104
 
4.9%
, 83
 
3.9%
3 77
 
3.6%
5 65
 
3.0%
4 51
 
2.4%
7 43
 
2.0%
Other values (5) 177
 
8.3%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3772
63.8%
ASCII 2138
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1007
47.1%
( 193
 
9.0%
) 193
 
9.0%
1 144
 
6.7%
2 104
 
4.9%
, 83
 
3.9%
3 77
 
3.6%
5 65
 
3.0%
4 51
 
2.4%
7 43
 
2.0%
Other values (6) 178
 
8.3%
Hangul
ValueCountFrequency (%)
도 199
 
5.3%
읍 168
 
4.5%
로 163
 
4.3%
동 142
 
3.8%
시 125
 
3.3%
원 105
 
2.8%
교 99
 
2.6%
청 95
 
2.5%
군 91
 
2.4%
남 90
 
2.4%
Other values (237) 2495
66.1%

전화번호
Text

UNIQUE 

Distinct197
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T16:18:04.556075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.994924
Min length11

Characters and Unicode

Total characters2363
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

Unique197 ?
Unique (%)100.0%

Sample

1st row02-459-1013
2nd row02-414-2634
3rd row02-2620-2400
4th row02-861-2416
5th row02-433-4327
ValueCountFrequency (%)
02-459-1013 1
 
0.5%
041-835-1160 1
 
0.5%
061-956-8181 1
 
0.5%
061-430-1526 1
 
0.5%
061-830-2087 1
 
0.5%
061-362-0850 1
 
0.5%
061-761-3012 1
 
0.5%
061-780-6645 1
 
0.5%
061-330-0116 1
 
0.5%
061-380-8118 1
 
0.5%
Other values (187) 187
94.9%
2023-12-12T16:18:04.886107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 438
18.5%
- 394
16.7%
3 259
11.0%
5 244
10.3%
1 198
8.4%
6 188
8.0%
4 173
 
7.3%
2 157
 
6.6%
7 115
 
4.9%
8 114
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1969
83.3%
Dash Punctuation 394
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 438
22.2%
3 259
13.2%
5 244
12.4%
1 198
10.1%
6 188
9.5%
4 173
 
8.8%
2 157
 
8.0%
7 115
 
5.8%
8 114
 
5.8%
9 83
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 394
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2363
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 438
18.5%
- 394
16.7%
3 259
11.0%
5 244
10.3%
1 198
8.4%
6 188
8.0%
4 173
 
7.3%
2 157
 
6.6%
7 115
 
4.9%
8 114
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2363
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 438
18.5%
- 394
16.7%
3 259
11.0%
5 244
10.3%
1 198
8.4%
6 188
8.0%
4 173
 
7.3%
2 157
 
6.6%
7 115
 
4.9%
8 114
 
4.8%

팩스
Text

UNIQUE 

Distinct197
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T16:18:05.117371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.979695
Min length11

Characters and Unicode

Total characters2360
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

Unique197 ?
Unique (%)100.0%

Sample

1st row02-459-1020
2nd row02-414-2635
3rd row02-2620-2419
4th row02-858-2416
5th row02-433-4328
ValueCountFrequency (%)
02-459-1020 1
 
0.5%
041-835-1170 1
 
0.5%
061-956-8180 1
 
0.5%
061-432-9337 1
 
0.5%
061-835-1019 1
 
0.5%
061-362-0860 1
 
0.5%
061-761-6012 1
 
0.5%
061-782-8035 1
 
0.5%
061-330-0135 1
 
0.5%
061-380-8195 1
 
0.5%
Other values (187) 187
94.9%
2023-12-12T16:18:05.584403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 394
16.7%
0 356
15.1%
3 268
11.4%
5 242
10.3%
4 189
8.0%
1 182
7.7%
6 174
7.4%
2 164
6.9%
8 136
 
5.8%
9 134
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1966
83.3%
Dash Punctuation 394
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 356
18.1%
3 268
13.6%
5 242
12.3%
4 189
9.6%
1 182
9.3%
6 174
8.9%
2 164
8.3%
8 136
 
6.9%
9 134
 
6.8%
7 121
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 394
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2360
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 394
16.7%
0 356
15.1%
3 268
11.4%
5 242
10.3%
4 189
8.0%
1 182
7.7%
6 174
7.4%
2 164
6.9%
8 136
 
5.8%
9 134
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2360
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 394
16.7%
0 356
15.1%
3 268
11.4%
5 242
10.3%
4 189
8.0%
1 182
7.7%
6 174
7.4%
2 164
6.9%
8 136
 
5.8%
9 134
 
5.7%

설치된 기관
Text

Distinct196
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T16:18:05.876051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length9.2385787
Min length5

Characters and Unicode

Total characters1820
Distinct characters151
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

Unique195 ?
Unique (%)99.0%

Sample

1st row서울대청초등학교
2nd row서울중대초등학교
3rd row서울특별시강서양천교육지원청
4th row서울영일초등학교
5th row서울묵동초등학교
ValueCountFrequency (%)
창원교육지원청 2
 
1.0%
전라남도장흥교육지원청 1
 
0.5%
전라남도목포교육지원청 1
 
0.5%
전라북도정읍교육지원청 1
 
0.5%
전라북도진안교육지원청 1
 
0.5%
전라남도교육청 1
 
0.5%
전라남도강진교육지원청 1
 
0.5%
전라남도고흥교육지원청 1
 
0.5%
전라남도곡성교육지원청 1
 
0.5%
광양서초등학교 1
 
0.5%
Other values (187) 187
94.4%
2023-12-12T16:18:06.349347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 198
 
10.9%
청 171
 
9.4%
원 153
 
8.4%
육 141
 
7.7%
지 126
 
6.9%
도 109
 
6.0%
학 57
 
3.1%
초 48
 
2.6%
남 47
 
2.6%
등 47
 
2.6%
Other values (141) 723
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1818
99.9%
Space Separator 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 198
 
10.9%
청 171
 
9.4%
원 153
 
8.4%
육 141
 
7.8%
지 126
 
6.9%
도 109
 
6.0%
학 57
 
3.1%
초 48
 
2.6%
남 47
 
2.6%
등 47
 
2.6%
Other values (139) 721
39.7%
Space Separator
ValueCountFrequency (%)
1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1818
99.9%
Common 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 198
 
10.9%
청 171
 
9.4%
원 153
 
8.4%
육 141
 
7.8%
지 126
 
6.9%
도 109
 
6.0%
학 57
 
3.1%
초 48
 
2.6%
남 47
 
2.6%
등 47
 
2.6%
Other values (139) 721
39.7%
Common
ValueCountFrequency (%)
1
50.0%
) 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1818
99.9%
ASCII 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 198
 
10.9%
청 171
 
9.4%
원 153
 
8.4%
육 141
 
7.8%
지 126
 
6.9%
도 109
 
6.0%
학 57
 
3.1%
초 48
 
2.6%
남 47
 
2.6%
등 47
 
2.6%
Other values (139) 721
39.7%
ASCII
ValueCountFrequency (%)
1
50.0%
) 1
50.0%

홈페이지
Text

Distinct193
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T16:18:06.633271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length31
Mean length16.253807
Min length9

Characters and Unicode

Total characters3202
Distinct characters27
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique190 ?
Unique (%)96.4%

Sample

1st rowsedu.sen.go.kr/gangnam/index.do
2nd rowsedu.sen.go.kr/gangdong/index.do
3rd rowsedu.sen.go.kr/gangseo/index.do
4th rowsedu.sen.go.kr/nambu/index.do
5th rowsedu.sen.go.kr/dongbu/index.do
ValueCountFrequency (%)
cwedu.gne.go.kr/cwspecial 3
 
1.5%
www.goegn.kr 2
 
1.0%
djdbe.go.kr 2
 
1.0%
hcedu.gne.go.kr/hcspecial 1
 
0.5%
dyed.jne.go.kr 1
 
0.5%
mped.jne.go.kr 1
 
0.5%
sedu.sen.go.kr/gangnam/index.do 1
 
0.5%
maed.jne.go.kr 1
 
0.5%
gjed.jne.go.kr 1
 
0.5%
ghed.jne.go.kr 1
 
0.5%
Other values (183) 183
92.9%
2023-12-12T16:18:07.089859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 540
16.9%
w 352
11.0%
e 326
10.2%
g 306
9.6%
k 205
 
6.4%
r 202
 
6.3%
o 189
 
5.9%
n 130
 
4.1%
d 127
 
4.0%
s 123
 
3.8%
Other values (17) 702
21.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2584
80.7%
Other Punctuation 614
 
19.2%
Space Separator 2
 
0.1%
Dash Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 352
13.6%
e 326
12.6%
g 306
11.8%
k 205
 
7.9%
r 202
 
7.8%
o 189
 
7.3%
n 130
 
5.0%
d 127
 
4.9%
s 123
 
4.8%
c 106
 
4.1%
Other values (12) 518
20.0%
Other Punctuation
ValueCountFrequency (%)
. 540
87.9%
/ 74
 
12.1%
Space Separator
ValueCountFrequency (%)
2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2584
80.7%
Common 618
 
19.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 352
13.6%
e 326
12.6%
g 306
11.8%
k 205
 
7.9%
r 202
 
7.8%
o 189
 
7.3%
n 130
 
5.0%
d 127
 
4.9%
s 123
 
4.8%
c 106
 
4.1%
Other values (12) 518
20.0%
Common
ValueCountFrequency (%)
. 540
87.4%
/ 74
 
12.0%
2
 
0.3%
- 1
 
0.2%
~ 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3202
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 540
16.9%
w 352
11.0%
e 326
10.2%
g 306
9.6%
k 205
 
6.4%
r 202
 
6.3%
o 189
 
5.9%
n 130
 
4.1%
d 127
 
4.0%
s 123
 
3.8%
Other values (17) 702
21.9%

Interactions

2023-12-12T16:18:01.637537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:18:07.197046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도우편번호
시도1.0000.959
우편번호0.9591.000
2023-12-12T16:18:07.307948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호시도
우편번호1.0000.802
시도0.8021.000

Missing values

2023-12-12T16:18:01.761484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:18:01.880537image/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

시도교육청센터명우편번호주소전화번호팩스설치된 기관홈페이지
0서울서울특별시강남서초교육지원청강남서초특수교육지원센터6341서울특별시 강남구 양재대로55길 28 (일원동, 서울대청초등학교)02-459-101302-459-1020서울대청초등학교sedu.sen.go.kr/gangnam/index.do
1서울서울특별시강동송파교육지원청강동송파특수교육지원센터5677서울특별시 송파구 송파대로36길 8 (송파동, 서울중대초등학교)02-414-263402-414-2635서울중대초등학교sedu.sen.go.kr/gangdong/index.do
2서울서울특별시강서양천교육지원청강서양천특수교육지원센터7902서울특별시 양천구 월정로 269 (신월동, 강서양천교육지원청)02-2620-240002-2620-2419서울특별시강서양천교육지원청sedu.sen.go.kr/gangseo/index.do
3서울서울특별시남부교육지원청남부특수교육지원센터8321서울특별시 구로구 남부순환로105길 218 (가리봉동, 서울영일초등학교)02-861-241602-858-2416서울영일초등학교sedu.sen.go.kr/nambu/index.do
4서울서울특별시동부교육지원청동부특수교육지원센터2050서울특별시 중랑구 동일로138길 27 (중화동, 서울묵동초등학교)02-433-432702-433-4328서울묵동초등학교sedu.sen.go.kr/dongbu/index.do
5서울서울특별시동작관악교육지원청동작관악특수교육지원센터7066서울특별시 동작구 신대방2길 14 (신대방동, 서울문창초등학교)02-833-289502-848-6809서울문창초등학교sedu.sen.go.kr/dongjak/index.do
6서울서울특별시북부교육지원청북부특수교육지원센터1755서울특별시 노원구 동일로216길 42 (상계동, 신상중학교)02-956-103802-956-1042신상중학교sedu.sen.go.kr/bukbu/index.do
7서울서울특별시서부교육지원청서부특수교육지원센터3470서울특별시 은평구 가좌로6길 20 (응암동, 서울응암초등학교)02-715-095302-715-0957서울응암초등학교sedu.sen.go.kr/seobu/index.do
8서울서울특별시성동광진교육지원청성동광진특수교육지원센터4746서울특별시 성동구 고산자로8길 6 (행당동, 서울행당초등학교)02-2292-641102-2292-6444서울행당초등학교sedu.sen.go.kr/seongdong/index.do
9서울서울특별시성북강북교육지원청성북강북특수교육지원센터2736서울특별시 성북구 종암로 208 (하월곡동, 숭곡중학교)02-911-107802-911-1079숭곡중학교sedu.sen.go.kr/sensb/index.do
시도교육청센터명우편번호주소전화번호팩스설치된 기관홈페이지
187경남하동교육지원청하동특수교육지원센터52333경상남도 하동군 하동읍 군청로 191 (하동읍)055-880-1991055-884-0358하동교육지원청hdedu.gne.go.kr/hdspecial
188경남함안교육지원청함안특수교육지원센터52033경상남도 함안군 가야읍 함안대로 746, 중앙초등학교 내 (가야읍)055-585-0971055-585-0975중앙초등학교hmedu.gne.go.kr/hmspecial
189경남함양교육지원청함양특수교육지원센터50034경상남도 함양군 함양읍 함양로 1157 (함양읍)055-960-2742055-960-2708함양교육지원청hyedu.gne.go.kr/hyspecial
190경남합천교육지원청합천특수교육지원센터50238경상남도 합천군 합천읍 동서로 150 (합천읍)055-930-7013055-931-6950합천교육지원청hcedu.gne.go.kr/hcspecial
191경남창원교육지원청창원특수교육지원센터51498경상남도 창원시 성산구 단정로 75, 웅남초등학교 내 (상남동)055-283-8065055-283-8061웅남초등학교cwedu.gne.go.kr/cwspecial
192경남창원교육지원청진해특수교육지원센터51658경상남도 창원시 진해구 진해대로776번길 11, 창원교육지원청 진해청사 내055-540-2021055-542-2160창원교육지원청cwedu.gne.go.kr/cwspecial
193경남창원교육지원청마산특수교육지원센터51346경상남도 창원시 마산회원구 봉덕2길 3, 창원교육지원청 마산청사 내055-250-7695055-252-3746창원교육지원청cwedu.gne.go.kr/cwspecial
194제주제주특별자치도교육청제주특별자치도특수교육지원센터63119제주특별자치도 제주시 문연로 5 (연동)064-710-0323064-710-0279제주특별자치도교육청www.jje.go.kr/index.jje
195제주서귀포시교육지원청서귀포시특수교육지원센터63603제주특별자치도 서귀포시 토평로 43 (토평동)064-730-8135064-730-8107서귀포시교육지원청www.jse.go.kr
196제주제주시교육지원청제주시특수교육지원센터63224제주특별자치도 제주시 남광로 27 (이도이동)064-754-1244064-754-1223제주시교육지원청www.jje.go.kr/jjse/index.jje