Overview

Dataset statistics

Number of variables10
Number of observations26
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory88.1 B

Variable types

Text7
Numeric3

Dataset

Description특수교육지원센터 현황
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=6AS9WC1MMFR0RD5KUTV525311352&infSeq=1

Alerts

소재지우편번호 is highly overall correlated with WGS84위도High correlation
WGS84위도 is highly overall correlated with 소재지우편번호High correlation
소재지지번주소 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
소재지우편번호 has unique valuesUnique
WGS84위도 has unique valuesUnique
WGS84경도 has unique valuesUnique
설치장소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-12 23:24:10.273311
Analysis finished2024-03-12 23:24:11.789317
Duration1.52 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Text

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-03-13T08:24:11.888654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.1153846
Min length3

Characters and Unicode

Total characters81
Distinct characters30
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

Unique24 ?
Unique (%)92.3%

Sample

1st row가평군
2nd row고양시
3rd row광명시
4th row광주시
5th row군포시
ValueCountFrequency (%)
남양주시 2
 
7.7%
가평군 1
 
3.8%
안양시 1
 
3.8%
평택시 1
 
3.8%
파주시 1
 
3.8%
이천시 1
 
3.8%
의정부시 1
 
3.8%
용인시 1
 
3.8%
오산시 1
 
3.8%
연천군 1
 
3.8%
Other values (15) 15
57.7%
2024-03-13T08:24:12.119347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 24
29.6%
양 6
 
7.4%
주 6
 
7.4%
군 4
 
4.9%
천 4
 
4.9%
남 3
 
3.7%
안 3
 
3.7%
평 3
 
3.7%
포 3
 
3.7%
성 2
 
2.5%
Other values (20) 23
28.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 81
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 24
29.6%
양 6
 
7.4%
주 6
 
7.4%
군 4
 
4.9%
천 4
 
4.9%
남 3
 
3.7%
안 3
 
3.7%
평 3
 
3.7%
포 3
 
3.7%
성 2
 
2.5%
Other values (20) 23
28.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 81
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 24
29.6%
양 6
 
7.4%
주 6
 
7.4%
군 4
 
4.9%
천 4
 
4.9%
남 3
 
3.7%
안 3
 
3.7%
평 3
 
3.7%
포 3
 
3.7%
성 2
 
2.5%
Other values (20) 23
28.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 81
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 24
29.6%
양 6
 
7.4%
주 6
 
7.4%
군 4
 
4.9%
천 4
 
4.9%
남 3
 
3.7%
안 3
 
3.7%
평 3
 
3.7%
포 3
 
3.7%
성 2
 
2.5%
Other values (20) 23
28.4%

기관명
Text

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-03-13T08:24:12.298260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length21
Mean length22.384615
Min length21

Characters and Unicode

Total characters582
Distinct characters49
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

Unique24 ?
Unique (%)92.3%

Sample

1st row경기도가평교육지원청 가평특수교육지원센터
2nd row경기도고양교육지원청 고양특수교육지원센터
3rd row경기도광명교육지원청 광명특수교육지원센터
4th row경기도광주하남교육지원청 광주하남특수교육지원센터
5th row경기도군포의왕교육지원청 군포의왕특수교육지원센터
ValueCountFrequency (%)
경기도구리남양주교육지원청 2
 
3.8%
구리남양주특수교육지원센터 2
 
3.8%
용인특수교육지원센터 1
 
1.9%
가평특수교육지원센터 1
 
1.9%
경기도양평교육지원청 1
 
1.9%
양평특수교육지원센터 1
 
1.9%
경기도여주교육지원청 1
 
1.9%
여주특수교육지원센터 1
 
1.9%
경기도연천교육지원청 1
 
1.9%
연천특수교육지원센터 1
 
1.9%
Other values (40) 40
76.9%
2024-03-13T08:24:12.600827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 54
 
9.3%
육 52
 
8.9%
지 52
 
8.9%
교 52
 
8.9%
수 28
 
4.8%
터 26
 
4.5%
센 26
 
4.5%
특 26
 
4.5%
26
 
4.5%
청 26
 
4.5%
Other values (39) 214
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 556
95.5%
Space Separator 26
 
4.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 54
 
9.7%
육 52
 
9.4%
지 52
 
9.4%
교 52
 
9.4%
수 28
 
5.0%
터 26
 
4.7%
센 26
 
4.7%
특 26
 
4.7%
청 26
 
4.7%
경 26
 
4.7%
Other values (38) 188
33.8%
Space Separator
ValueCountFrequency (%)
26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 556
95.5%
Common 26
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 54
 
9.7%
육 52
 
9.4%
지 52
 
9.4%
교 52
 
9.4%
수 28
 
5.0%
터 26
 
4.7%
센 26
 
4.7%
특 26
 
4.7%
청 26
 
4.7%
경 26
 
4.7%
Other values (38) 188
33.8%
Common
ValueCountFrequency (%)
26
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 556
95.5%
ASCII 26
 
4.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 54
 
9.7%
육 52
 
9.4%
지 52
 
9.4%
교 52
 
9.4%
수 28
 
5.0%
터 26
 
4.7%
센 26
 
4.7%
특 26
 
4.7%
청 26
 
4.7%
경 26
 
4.7%
Other values (38) 188
33.8%
ASCII
ValueCountFrequency (%)
26
100.0%

소재지지번주소
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-03-13T08:24:12.821286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length20.807692
Min length17

Characters and Unicode

Total characters541
Distinct characters82
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

Unique26 ?
Unique (%)100.0%

Sample

1st row경기도 가평군 가평읍 읍내리 542-1번지
2nd row경기도 고양시 일산서구 주엽동 24번지
3rd row경기도 광명시 광명동 295-58번지
4th row경기도 광주시 송정동 240-1번지
5th row경기도 군포시 당정동 972-1번지
ValueCountFrequency (%)
경기도 26
 
22.4%
남양주시 2
 
1.7%
양근리 1
 
0.9%
43-13번지 1
 
0.9%
현가리 1
 
0.9%
연천읍 1
 
0.9%
연천군 1
 
0.9%
201-29번지 1
 
0.9%
상동 1
 
0.9%
여주시 1
 
0.9%
Other values (80) 80
69.0%
2024-03-13T08:24:13.169415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
90
 
16.6%
지 27
 
5.0%
경 26
 
4.8%
도 26
 
4.8%
기 26
 
4.8%
번 26
 
4.8%
시 24
 
4.4%
1 21
 
3.9%
동 21
 
3.9%
2 21
 
3.9%
Other values (72) 233
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 326
60.3%
Decimal Number 104
 
19.2%
Space Separator 90
 
16.6%
Dash Punctuation 21
 
3.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 27
 
8.3%
경 26
 
8.0%
도 26
 
8.0%
기 26
 
8.0%
번 26
 
8.0%
시 24
 
7.4%
동 21
 
6.4%
양 11
 
3.4%
구 8
 
2.5%
주 7
 
2.1%
Other values (60) 124
38.0%
Decimal Number
ValueCountFrequency (%)
1 21
20.2%
2 21
20.2%
5 13
12.5%
9 12
11.5%
3 9
8.7%
4 9
8.7%
6 6
 
5.8%
0 5
 
4.8%
8 5
 
4.8%
7 3
 
2.9%
Space Separator
ValueCountFrequency (%)
90
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 326
60.3%
Common 215
39.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 27
 
8.3%
경 26
 
8.0%
도 26
 
8.0%
기 26
 
8.0%
번 26
 
8.0%
시 24
 
7.4%
동 21
 
6.4%
양 11
 
3.4%
구 8
 
2.5%
주 7
 
2.1%
Other values (60) 124
38.0%
Common
ValueCountFrequency (%)
90
41.9%
1 21
 
9.8%
2 21
 
9.8%
- 21
 
9.8%
5 13
 
6.0%
9 12
 
5.6%
3 9
 
4.2%
4 9
 
4.2%
6 6
 
2.8%
0 5
 
2.3%
Other values (2) 8
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 326
60.3%
ASCII 215
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
90
41.9%
1 21
 
9.8%
2 21
 
9.8%
- 21
 
9.8%
5 13
 
6.0%
9 12
 
5.6%
3 9
 
4.2%
4 9
 
4.2%
6 6
 
2.8%
0 5
 
2.3%
Other values (2) 8
 
3.7%
Hangul
ValueCountFrequency (%)
지 27
 
8.3%
경 26
 
8.0%
도 26
 
8.0%
기 26
 
8.0%
번 26
 
8.0%
시 24
 
7.4%
동 21
 
6.4%
양 11
 
3.4%
구 8
 
2.5%
주 7
 
2.1%
Other values (60) 124
38.0%

소재지도로명주소
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-03-13T08:24:13.371454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20.5
Mean length18.807692
Min length14

Characters and Unicode

Total characters489
Distinct characters87
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

Unique26 ?
Unique (%)100.0%

Sample

1st row경기도 가평군 가평읍 향교로 17
2nd row경기도 고양시 일산서구 주엽로 168
3rd row경기도 광명시 광명로 866-9
4th row경기도 광주시 광주대로 178
5th row경기도 군포시 고산로151번길 26-24
ValueCountFrequency (%)
경기도 26
 
22.4%
남양주시 2
 
1.7%
43 2
 
1.7%
양평읍 1
 
0.9%
연천읍 1
 
0.9%
연천군 1
 
0.9%
181 1
 
0.9%
청심로 1
 
0.9%
여주시 1
 
0.9%
126 1
 
0.9%
Other values (79) 79
68.1%
2024-03-13T08:24:13.693480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
90
18.4%
경 27
 
5.5%
도 26
 
5.3%
기 26
 
5.3%
로 24
 
4.9%
시 24
 
4.9%
1 24
 
4.9%
2 16
 
3.3%
길 10
 
2.0%
양 9
 
1.8%
Other values (77) 213
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 299
61.1%
Decimal Number 96
 
19.6%
Space Separator 90
 
18.4%
Dash Punctuation 4
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 27
 
9.0%
도 26
 
8.7%
기 26
 
8.7%
로 24
 
8.0%
시 24
 
8.0%
길 10
 
3.3%
양 9
 
3.0%
천 8
 
2.7%
주 8
 
2.7%
번 7
 
2.3%
Other values (65) 130
43.5%
Decimal Number
ValueCountFrequency (%)
1 24
25.0%
2 16
16.7%
3 9
 
9.4%
8 8
 
8.3%
6 8
 
8.3%
5 8
 
8.3%
4 7
 
7.3%
9 6
 
6.2%
0 6
 
6.2%
7 4
 
4.2%
Space Separator
ValueCountFrequency (%)
90
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 299
61.1%
Common 190
38.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 27
 
9.0%
도 26
 
8.7%
기 26
 
8.7%
로 24
 
8.0%
시 24
 
8.0%
길 10
 
3.3%
양 9
 
3.0%
천 8
 
2.7%
주 8
 
2.7%
번 7
 
2.3%
Other values (65) 130
43.5%
Common
ValueCountFrequency (%)
90
47.4%
1 24
 
12.6%
2 16
 
8.4%
3 9
 
4.7%
8 8
 
4.2%
6 8
 
4.2%
5 8
 
4.2%
4 7
 
3.7%
9 6
 
3.2%
0 6
 
3.2%
Other values (2) 8
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 299
61.1%
ASCII 190
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
90
47.4%
1 24
 
12.6%
2 16
 
8.4%
3 9
 
4.7%
8 8
 
4.2%
6 8
 
4.2%
5 8
 
4.2%
4 7
 
3.7%
9 6
 
3.2%
0 6
 
3.2%
Other values (2) 8
 
4.2%
Hangul
ValueCountFrequency (%)
경 27
 
9.0%
도 26
 
8.7%
기 26
 
8.7%
로 24
 
8.0%
시 24
 
8.0%
길 10
 
3.3%
양 9
 
3.0%
천 8
 
2.7%
주 8
 
2.7%
번 7
 
2.3%
Other values (65) 130
43.5%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13793.115
Minimum10073
Maximum18129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-03-13T08:24:13.802269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10073
5-th percentile10507.25
Q111776.25
median13063
Q315785.25
95-th percentile17836.5
Maximum18129
Range8056
Interquartile range (IQR)4009

Descriptive statistics

Standard deviation2541.5724
Coefficient of variation (CV)0.18426384
Kurtosis-1.1963218
Mean13793.115
Median Absolute Deviation (MAD)1875
Skewness0.34866706
Sum358621
Variance6459590.1
MonotonicityNot monotonic
2024-03-13T08:24:13.930324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
12417 1
 
3.8%
14085 1
 
3.8%
11154 1
 
3.8%
17922 1
 
3.8%
10865 1
 
3.8%
17353 1
 
3.8%
11686 1
 
3.8%
17044 1
 
3.8%
18129 1
 
3.8%
11013 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
10073 1
3.8%
10388 1
3.8%
10865 1
3.8%
11013 1
3.8%
11154 1
3.8%
11440 1
3.8%
11686 1
3.8%
12047 1
3.8%
12284 1
3.8%
12417 1
3.8%
ValueCountFrequency (%)
18129 1
3.8%
17922 1
3.8%
17580 1
3.8%
17353 1
3.8%
17044 1
3.8%
16697 1
3.8%
15853 1
3.8%
15582 1
3.8%
14904 1
3.8%
14537 1
3.8%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.493011
Minimum36.987772
Maximum38.108721
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-03-13T08:24:14.055866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.987772
5-th percentile37.045763
Q137.298191
median37.459574
Q337.691428
95-th percentile37.874578
Maximum38.108721
Range1.1209492
Interquartile range (IQR)0.39323753

Descriptive statistics

Standard deviation0.27503553
Coefficient of variation (CV)0.0073356481
Kurtosis-0.27726958
Mean37.493011
Median Absolute Deviation (MAD)0.20080777
Skewness0.17341644
Sum974.81828
Variance0.075644544
MonotonicityNot monotonic
2024-03-13T08:24:14.145873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
37.82932123 1
 
3.8%
37.39205496 1
 
3.8%
37.88966386 1
 
3.8%
36.98777204 1
 
3.8%
37.74697656 1
 
3.8%
37.28538681 1
 
3.8%
37.74762621 1
 
3.8%
37.23928275 1
 
3.8%
37.14969499 1
 
3.8%
38.10872124 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
36.98777204 1
3.8%
37.01111962 1
3.8%
37.14969499 1
3.8%
37.23928275 1
3.8%
37.25364151 1
3.8%
37.28538681 1
3.8%
37.29705397 1
3.8%
37.30160163 1
3.8%
37.34637043 1
3.8%
37.39205496 1
3.8%
ValueCountFrequency (%)
38.10872124 1
3.8%
37.88966386 1
3.8%
37.82932123 1
3.8%
37.82322177 1
3.8%
37.74762621 1
3.8%
37.74697656 1
3.8%
37.69756477 1
3.8%
37.67301934 1
3.8%
37.65525704 1
3.8%
37.61071372 1
3.8%

WGS84경도
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.08777
Minimum126.68686
Maximum127.64031
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-03-13T08:24:14.238853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.68686
5-th percentile126.7442
Q1126.87455
median127.07123
Q3127.20311
95-th percentile127.5047
Maximum127.64031
Range0.9534511
Interquartile range (IQR)0.3285619

Descriptive statistics

Standard deviation0.25746898
Coefficient of variation (CV)0.0020259147
Kurtosis-0.40989442
Mean127.08777
Median Absolute Deviation (MAD)0.1615396
Skewness0.38731804
Sum3304.282
Variance0.066290276
MonotonicityNot monotonic
2024-03-13T08:24:14.329580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
127.5080547 1
 
3.8%
126.9358971 1
 
3.8%
127.2008806 1
 
3.8%
127.0851526 1
 
3.8%
126.7388733 1
 
3.8%
127.4946532 1
 
3.8%
127.0466562 1
 
3.8%
127.2038497 1
 
3.8%
127.0664245 1
 
3.8%
127.0760257 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
126.6868571 1
3.8%
126.7388733 1
3.8%
126.7601883 1
3.8%
126.7619378 1
3.8%
126.783882 1
3.8%
126.8538242 1
3.8%
126.854095 1
3.8%
126.9358971 1
3.8%
126.9547032 1
3.8%
127.0466562 1
3.8%
ValueCountFrequency (%)
127.6403082 1
3.8%
127.5080547 1
3.8%
127.4946532 1
3.8%
127.4853443 1
3.8%
127.2673384 1
3.8%
127.2589763 1
3.8%
127.2038497 1
3.8%
127.2008806 1
3.8%
127.1932738 1
3.8%
127.1698991 1
3.8%

설치장소
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-03-13T08:24:14.485408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length7.6153846
Min length5

Characters and Unicode

Total characters198
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

Unique26 ?
Unique (%)100.0%

Sample

1st row경기도가평교육지원청
2nd row문촌초등학교
3rd row광명남초등학교
4th row경기도광주하남교육지원청
5th row당정초등학교
ValueCountFrequency (%)
경기도가평교육지원청 1
 
3.8%
문촌초등학교 1
 
3.8%
군문초등학교 1
 
3.8%
파주학교지원센터 1
 
3.8%
경기도이천교육지원청 1
 
3.8%
배영초등학교 1
 
3.8%
용인몽실학교 1
 
3.8%
성산초등학교 1
 
3.8%
경기도연천교육지원청 1
 
3.8%
경기도여주교육지원청 1
 
3.8%
Other values (16) 16
61.5%
2024-03-13T08:24:14.752932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 26
 
13.1%
학 16
 
8.1%
초 11
 
5.6%
지 11
 
5.6%
원 11
 
5.6%
등 11
 
5.6%
육 10
 
5.1%
청 10
 
5.1%
경 9
 
4.5%
기 9
 
4.5%
Other values (44) 74
37.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 198
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 26
 
13.1%
학 16
 
8.1%
초 11
 
5.6%
지 11
 
5.6%
원 11
 
5.6%
등 11
 
5.6%
육 10
 
5.1%
청 10
 
5.1%
경 9
 
4.5%
기 9
 
4.5%
Other values (44) 74
37.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 198
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 26
 
13.1%
학 16
 
8.1%
초 11
 
5.6%
지 11
 
5.6%
원 11
 
5.6%
등 11
 
5.6%
육 10
 
5.1%
청 10
 
5.1%
경 9
 
4.5%
기 9
 
4.5%
Other values (44) 74
37.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 198
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 26
 
13.1%
학 16
 
8.1%
초 11
 
5.6%
지 11
 
5.6%
원 11
 
5.6%
등 11
 
5.6%
육 10
 
5.1%
청 10
 
5.1%
경 9
 
4.5%
기 9
 
4.5%
Other values (44) 74
37.4%

전화번호
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-03-13T08:24:14.923961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.269231
Min length12

Characters and Unicode

Total characters319
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

Unique26 ?
Unique (%)100.0%

Sample

1st row031-580-5149
2nd row031-912-1591
3rd row02-2615-9647
4th row031-280-7650
5th row031-455-5034
ValueCountFrequency (%)
031-580-5149 1
 
3.8%
031-912-1591 1
 
3.8%
031-618-0682 1
 
3.8%
031-869-8450 1
 
3.8%
031-645-1661 1
 
3.8%
031-847-4685 1
 
3.8%
031-334-7552 1
 
3.8%
031-377-4329 1
 
3.8%
031-839-0136 1
 
3.8%
031-880-2360 1
 
3.8%
Other values (16) 16
61.5%
2024-03-13T08:24:15.185034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 57
17.9%
- 52
16.3%
3 37
11.6%
1 34
10.7%
5 25
7.8%
4 23
7.2%
6 23
7.2%
8 22
 
6.9%
7 20
 
6.3%
9 15
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 267
83.7%
Dash Punctuation 52
 
16.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 57
21.3%
3 37
13.9%
1 34
12.7%
5 25
9.4%
4 23
8.6%
6 23
8.6%
8 22
 
8.2%
7 20
 
7.5%
9 15
 
5.6%
2 11
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 319
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 57
17.9%
- 52
16.3%
3 37
11.6%
1 34
10.7%
5 25
7.8%
4 23
7.2%
6 23
7.2%
8 22
 
6.9%
7 20
 
6.3%
9 15
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 319
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 57
17.9%
- 52
16.3%
3 37
11.6%
1 34
10.7%
5 25
7.8%
4 23
7.2%
6 23
7.2%
8 22
 
6.9%
7 20
 
6.3%
9 15
 
4.7%

홈페이지URL
Text

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-03-13T08:24:15.343676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length12
Mean length18.384615
Min length11

Characters and Unicode

Total characters478
Distinct characters37
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

Unique24 ?
Unique (%)92.3%

Sample

1st rowwww.goegp.kr
2nd rowwww.kengy.go.kr
3rd rowwww.goegm.kr
4th rowhttps://www.goegh.kr/goegh/cm/cntnts/cntntsView.do?mi=8724&cntntsId=1510
5th rowhttps://www.goegu.kr/subList/40000000224
ValueCountFrequency (%)
www.goegn.kr 2
 
7.7%
www.goegp.kr 1
 
3.8%
https://www.goeay.kr/main.php?menugrp=140101&master=html&act=page 1
 
3.8%
www.goept.kr 1
 
3.8%
www.goepj.kr 1
 
3.8%
www.goeic.kr 1
 
3.8%
www.goeujb.kr 1
 
3.8%
www.goeyi.kr 1
 
3.8%
www.goehs.kr 1
 
3.8%
www.goeyc.kr 1
 
3.8%
Other values (15) 15
57.7%
2024-03-13T08:24:15.592247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 80
16.7%
. 56
11.7%
g 37
 
7.7%
e 31
 
6.5%
o 28
 
5.9%
r 28
 
5.9%
k 27
 
5.6%
t 21
 
4.4%
/ 19
 
4.0%
s 18
 
3.8%
Other values (27) 133
27.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 360
75.3%
Other Punctuation 85
 
17.8%
Decimal Number 25
 
5.2%
Math Symbol 5
 
1.0%
Uppercase Letter 3
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 80
22.2%
g 37
10.3%
e 31
 
8.6%
o 28
 
7.8%
r 28
 
7.8%
k 27
 
7.5%
t 21
 
5.8%
s 18
 
5.0%
p 15
 
4.2%
n 13
 
3.6%
Other values (11) 62
17.2%
Decimal Number
ValueCountFrequency (%)
0 10
40.0%
1 5
20.0%
4 4
 
16.0%
2 3
 
12.0%
5 1
 
4.0%
7 1
 
4.0%
8 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
. 56
65.9%
/ 19
 
22.4%
: 5
 
5.9%
& 3
 
3.5%
? 2
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
I 1
33.3%
V 1
33.3%
L 1
33.3%
Math Symbol
ValueCountFrequency (%)
= 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 363
75.9%
Common 115
 
24.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 80
22.0%
g 37
10.2%
e 31
 
8.5%
o 28
 
7.7%
r 28
 
7.7%
k 27
 
7.4%
t 21
 
5.8%
s 18
 
5.0%
p 15
 
4.1%
n 13
 
3.6%
Other values (14) 65
17.9%
Common
ValueCountFrequency (%)
. 56
48.7%
/ 19
 
16.5%
0 10
 
8.7%
1 5
 
4.3%
= 5
 
4.3%
: 5
 
4.3%
4 4
 
3.5%
& 3
 
2.6%
2 3
 
2.6%
? 2
 
1.7%
Other values (3) 3
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 478
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 80
16.7%
. 56
11.7%
g 37
 
7.7%
e 31
 
6.5%
o 28
 
5.9%
r 28
 
5.9%
k 27
 
5.6%
t 21
 
4.4%
/ 19
 
4.0%
s 18
 
3.8%
Other values (27) 133
27.8%

Interactions

2024-03-13T08:24:11.048741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:24:10.610517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:24:10.814515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:24:11.129216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:24:10.683844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:24:10.900095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:24:11.199742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:24:10.750532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:24:10.973843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T08:24:15.666879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명기관명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도설치장소전화번호홈페이지URL
시군명1.0001.0001.0001.0001.0000.9331.0001.0001.0001.000
기관명1.0001.0001.0001.0001.0000.9331.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지우편번호1.0001.0001.0001.0001.0000.8190.5761.0001.0001.000
WGS84위도0.9330.9331.0001.0000.8191.0000.1301.0001.0000.933
WGS84경도1.0001.0001.0001.0000.5760.1301.0001.0001.0001.000
설치장소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
홈페이지URL1.0001.0001.0001.0001.0000.9331.0001.0001.0001.000
2024-03-13T08:24:15.774124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도
소재지우편번호1.000-0.8830.234
WGS84위도-0.8831.000-0.204
WGS84경도0.234-0.2041.000

Missing values

2024-03-13T08:24:11.545670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T08:24:11.724466image/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

시군명기관명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도설치장소전화번호홈페이지URL
0가평군경기도가평교육지원청 가평특수교육지원센터경기도 가평군 가평읍 읍내리 542-1번지경기도 가평군 가평읍 향교로 171241737.829321127.508055경기도가평교육지원청031-580-5149www.goegp.kr
1고양시경기도고양교육지원청 고양특수교육지원센터경기도 고양시 일산서구 주엽동 24번지경기도 고양시 일산서구 주엽로 1681038837.673019126.760188문촌초등학교031-912-1591www.kengy.go.kr
2광명시경기도광명교육지원청 광명특수교육지원센터경기도 광명시 광명동 295-58번지경기도 광명시 광명로 866-91426837.475491126.853824광명남초등학교02-2615-9647www.goegm.kr
3광주시경기도광주하남교육지원청 광주하남특수교육지원센터경기도 광주시 송정동 240-1번지경기도 광주시 광주대로 1781273937.422446127.258976경기도광주하남교육지원청031-280-7650https://www.goegh.kr/goegh/cm/cntnts/cntntsView.do?mi=8724&cntntsId=1510
4군포시경기도군포의왕교육지원청 군포의왕특수교육지원센터경기도 군포시 당정동 972-1번지경기도 군포시 고산로151번길 26-241585337.34637126.954703당정초등학교031-455-5034https://www.goegu.kr/subList/40000000224
5김포시경기도김포교육지원청 김포특수교육지원센터경기도 김포시 운양동 1295-2번지경기도 김포시 김포한강11로 3421007337.655257126.686857김포교육지원청031-980-1283www.gpoe.kr
6남양주시경기도구리남양주교육지원청 구리남양주특수교육지원센터경기도 남양주시 다산동 3158-3번지경기도 남양주시 경춘로 5201228437.610714127.169899경기구리남양주교육지원청031-550-6180www.goegn.kr
7남양주시경기도구리남양주교육지원청 구리남양주특수교육지원센터경기도 남양주시 오남읍 양지리 616-2번지경기도 남양주시 오남읍 양지로 261-311204737.697565127.193274양오중학교070-4345-7348www.goegn.kr
8부천시경기도부천교육지원청 부천특수교육지원센터경기도 부천시 원미구 중동 1029-3번지경기도 부천시 원미구 석천로209번길 401453737.50673126.761938부광초등학교070-8670-4856www.bcscse.go.kr
9성남시경기도성남교육지원청 성남특수교육지원센터경기도 성남시 중원구 하대원동 123번지경기도 성남시 중원구 원터로 251338737.429705127.143638검단초등학교070-4486-9164https://www.goesn.kr/
시군명기관명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도설치장소전화번호홈페이지URL
16양평군경기도양평교육지원청 양평특수교육지원센터경기도 양평군 양평읍 양근리 491-1번지경기도 양평군 양평읍 양근강변길 1261255437.494187127.485344경기도양평교육지원청031-770-5620www.goeyp.kr
17여주시경기도여주교육지원청 여주특수교육지원센터경기도 여주시 상동 201-29번지경기도 여주시 청심로 1811262037.297054127.640308경기도여주교육지원청031-880-2360www.goeyj.kr
18연천군경기도연천교육지원청 연천특수교육지원센터경기도 연천군 연천읍 현가리 43-13번지경기도 연천군 연천읍 연천로 356-11101338.108721127.076026경기도연천교육지원청031-839-0136www.goeyc.kr
19오산시경기도화성오산교육지원청 화성오산특수교육지원센터경기도 오산시 오산동 524-1번지경기도 오산시 성호대로 431812937.149695127.066424성산초등학교031-377-4329www.goehs.kr
20용인시경기도용인교육지원청 용인특수교육지원센터경기도 용인시 처인구 김량장동 195번지경기도 용인시 처인구 학산로 431704437.239283127.20385용인몽실학교031-334-7552www.goeyi.kr
21의정부시경기도의정부교육지원청 의정부특수교육지원센터경기도 의정부시 의정부동 229-2번지경기도 의정부시 가능로135번길 201168637.747626127.046656배영초등학교031-847-4685www.goeujb.kr
22이천시경기도이천교육지원청 이천특수교육지원센터경기도 이천시 증포동 375-11번지경기도 이천시 이섭대천로1311번길 181735337.285387127.494653경기도이천교육지원청031-645-1661www.goeic.kr
23파주시경기도파주교육지원청 파주특수교육지원센터경기도 파주시 다율동 56-8번지경기도 파주시 교하로1290번길 381086537.746977126.738873파주학교지원센터031-869-8450www.goepj.kr
24평택시경기도평택교육지원청 평택특수교육지원센터경기도 평택시 군문동 360-1번지경기도 평택시 원평로 211792236.987772127.085153군문초등학교031-618-0682www.goept.kr
25포천시경기도포천교육지원청 포천특수교육지원센터경기도 포천시 군내면 구읍리 685번지경기도 포천시 군내면 호국로 15201115437.889664127.200881경기도포천교육지원청031-539-0130www.goepc.kr