Overview

Dataset statistics

Number of variables11
Number of observations1246
Missing cells3
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory112.1 KiB
Average record size in memory92.1 B

Variable types

Text6
Categorical1
Numeric4

Dataset

Description교육관련기관의정보공개에관한특례법에의거충청남도도내학교현황으로학교구분행정구역학교명연면적학생수학급수학교주소전화번호팩스번호순으로연번데이터를제공하고자합니다
Author충청남도교육청
URLhttps://www.data.go.kr/data/3038478/fileData.do

Alerts

연면적 is highly overall correlated with 학급수 and 1 other fieldsHigh correlation
학급수 is highly overall correlated with 연면적 and 1 other fieldsHigh correlation
학생수(명) is highly overall correlated with 연면적 and 1 other fieldsHigh correlation
연번 has unique valuesUnique
학급수 has 33 (2.6%) zerosZeros
학생수(명) has 33 (2.6%) zerosZeros

Reproduction

Analysis started2023-12-12 20:53:05.449461
Analysis finished2023-12-12 20:53:08.134962
Duration2.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Text

UNIQUE 

Distinct1246
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
2023-12-13T05:53:08.507814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.111557
Min length1

Characters and Unicode

Total characters3877
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

Unique1246 ?
Unique (%)100.0%

Sample

1st row1
2nd row2
3rd row3
4th row4
5th row5
ValueCountFrequency (%)
1 1
 
0.1%
828 1
 
0.1%
835 1
 
0.1%
834 1
 
0.1%
833 1
 
0.1%
832 1
 
0.1%
831 1
 
0.1%
830 1
 
0.1%
820 1
 
0.1%
827 1
 
0.1%
Other values (1236) 1236
99.2%
2023-12-13T05:53:09.366271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 702
18.1%
2 402
10.4%
3 355
9.2%
4 353
9.1%
5 345
8.9%
6 345
8.9%
0 344
8.9%
7 344
8.9%
8 344
8.9%
9 342
8.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3876
> 99.9%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 702
18.1%
2 402
10.4%
3 355
9.2%
4 353
9.1%
5 345
8.9%
6 345
8.9%
0 344
8.9%
7 344
8.9%
8 344
8.9%
9 342
8.8%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3877
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 702
18.1%
2 402
10.4%
3 355
9.2%
4 353
9.1%
5 345
8.9%
6 345
8.9%
0 344
8.9%
7 344
8.9%
8 344
8.9%
9 342
8.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3877
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 702
18.1%
2 402
10.4%
3 355
9.2%
4 353
9.1%
5 345
8.9%
6 345
8.9%
0 344
8.9%
7 344
8.9%
8 344
8.9%
9 342
8.8%

구분
Categorical

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
유치원
500 
초등학교
424 
중학교
188 
고등학교
121 
특수학교
 
10

Length

Max length6
Median length3
Mean length3.4526485
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유치원 500
40.1%
초등학교 424
34.0%
중학교 188
 
15.1%
고등학교 121
 
9.7%
특수학교 10
 
0.8%
각종학교 3
 
0.2%

Length

2023-12-13T05:53:09.503300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:53:09.604774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유치원 500
40.1%
초등학교 424
34.0%
중학교 188
 
15.1%
고등학교 121
 
9.7%
특수학교 10
 
0.8%
각종학교 3
 
0.2%

행정구역
Text

Distinct245
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
2023-12-13T05:53:09.954104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.9991974
Min length5

Characters and Unicode

Total characters7475
Distinct characters159
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

Unique18 ?
Unique (%)1.4%

Sample

1st row천안 성황동
2nd row천안 오룡동
3rd row천안 원성동
4th row천안 백석동
5th row천안 부대동
ValueCountFrequency (%)
천안 254
 
10.2%
아산 146
 
5.8%
서산 96
 
3.8%
당진 91
 
3.6%
논산 89
 
3.6%
공주 87
 
3.5%
보령 84
 
3.4%
예산 67
 
2.7%
홍성 67
 
2.7%
부여 66
 
2.6%
Other values (248) 1454
58.1%
2023-12-13T05:53:10.476857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1264
16.9%
면 614
 
8.2%
산 565
 
7.6%
천 403
 
5.4%
동 385
 
5.2%
안 343
 
4.6%
읍 305
 
4.1%
성 201
 
2.7%
서 176
 
2.4%
아 146
 
2.0%
Other values (149) 3073
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6211
83.1%
Space Separator 1264
 
16.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 614
 
9.9%
산 565
 
9.1%
천 403
 
6.5%
동 385
 
6.2%
안 343
 
5.5%
읍 305
 
4.9%
성 201
 
3.2%
서 176
 
2.8%
아 146
 
2.4%
당 124
 
2.0%
Other values (148) 2949
47.5%
Space Separator
ValueCountFrequency (%)
1264
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6211
83.1%
Common 1264
 
16.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 614
 
9.9%
산 565
 
9.1%
천 403
 
6.5%
동 385
 
6.2%
안 343
 
5.5%
읍 305
 
4.9%
성 201
 
3.2%
서 176
 
2.8%
아 146
 
2.4%
당 124
 
2.0%
Other values (148) 2949
47.5%
Common
ValueCountFrequency (%)
1264
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6211
83.1%
ASCII 1264
 
16.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1264
100.0%
Hangul
ValueCountFrequency (%)
면 614
 
9.9%
산 565
 
9.1%
천 403
 
6.5%
동 385
 
6.2%
안 343
 
5.5%
읍 305
 
4.9%
성 201
 
3.2%
서 176
 
2.8%
아 146
 
2.4%
당 124
 
2.0%
Other values (148) 2949
47.5%

학교명
Text

Distinct1234
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
2023-12-13T05:53:10.766201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length7.8964687
Min length5

Characters and Unicode

Total characters9839
Distinct characters285
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1223 ?
Unique (%)98.2%

Sample

1st row천안초등학교병설유치원
2nd row천안중앙초등학교병설유치원
3rd row천안남산초등학교병설유치원
4th row환서초등학교병설유치원
5th row천안부대초등학교병설유치원
ValueCountFrequency (%)
성모유치원 3
 
0.2%
아이숲유치원 2
 
0.2%
세종유치원 2
 
0.2%
프라임유치원 2
 
0.2%
아이세상유치원 2
 
0.2%
우리유치원 2
 
0.2%
금성초등학교 2
 
0.2%
늘푸른유치원 2
 
0.2%
자연유치원 2
 
0.2%
사랑유치원 2
 
0.2%
Other values (1227) 1228
98.3%
2023-12-13T05:53:11.268481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 1140
 
11.6%
학 1124
 
11.4%
등 896
 
9.1%
초 781
 
7.9%
원 530
 
5.4%
유 509
 
5.2%
치 503
 
5.1%
설 362
 
3.7%
병 355
 
3.6%
중 213
 
2.2%
Other values (275) 3426
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9818
99.8%
Space Separator 10
 
0.1%
Uppercase Letter 4
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 1140
 
11.6%
학 1124
 
11.4%
등 896
 
9.1%
초 781
 
8.0%
원 530
 
5.4%
유 509
 
5.2%
치 503
 
5.1%
설 362
 
3.7%
병 355
 
3.6%
중 213
 
2.2%
Other values (268) 3405
34.7%
Uppercase Letter
ValueCountFrequency (%)
P 2
50.0%
O 1
25.0%
K 1
25.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9818
99.8%
Common 17
 
0.2%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 1140
 
11.6%
학 1124
 
11.4%
등 896
 
9.1%
초 781
 
8.0%
원 530
 
5.4%
유 509
 
5.2%
치 503
 
5.1%
설 362
 
3.7%
병 355
 
3.6%
중 213
 
2.2%
Other values (268) 3405
34.7%
Common
ValueCountFrequency (%)
10
58.8%
( 3
 
17.6%
) 3
 
17.6%
- 1
 
5.9%
Latin
ValueCountFrequency (%)
P 2
50.0%
O 1
25.0%
K 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9818
99.8%
ASCII 21
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 1140
 
11.6%
학 1124
 
11.4%
등 896
 
9.1%
초 781
 
8.0%
원 530
 
5.4%
유 509
 
5.2%
치 503
 
5.1%
설 362
 
3.7%
병 355
 
3.6%
중 213
 
2.2%
Other values (268) 3405
34.7%
ASCII
ValueCountFrequency (%)
10
47.6%
( 3
 
14.3%
) 3
 
14.3%
P 2
 
9.5%
O 1
 
4.8%
- 1
 
4.8%
K 1
 
4.8%

연면적
Real number (ℝ)

HIGH CORRELATION 

Distinct1080
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4086.7696
Minimum0
Maximum49244.44
Zeros4
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2023-12-13T05:53:11.412233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile90
Q1277.6875
median2403.58
Q36321.3475
95-th percentile12905.895
Maximum49244.44
Range49244.44
Interquartile range (IQR)6043.66

Descriptive statistics

Standard deviation4831.1661
Coefficient of variation (CV)1.1821479
Kurtosis10.270142
Mean4086.7696
Median Absolute Deviation (MAD)2223.58
Skewness2.2374287
Sum5092114.9
Variance23340166
MonotonicityNot monotonic
2023-12-13T05:53:11.576760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.0 39
 
3.1%
135.0 21
 
1.7%
132.0 17
 
1.4%
180.0 13
 
1.0%
66.0 11
 
0.9%
270.0 9
 
0.7%
99.0 9
 
0.7%
67.5 8
 
0.6%
198.0 4
 
0.3%
0.0 4
 
0.3%
Other values (1070) 1111
89.2%
ValueCountFrequency (%)
0.0 4
0.3%
32.85 2
0.2%
35.0 1
 
0.1%
40.32 1
 
0.1%
47.52 1
 
0.1%
58.32 1
 
0.1%
60.0 1
 
0.1%
60.18 1
 
0.1%
60.63 1
 
0.1%
63.0 1
 
0.1%
ValueCountFrequency (%)
49244.44 1
0.1%
41168.74 1
0.1%
32060.0 1
0.1%
27327.52 1
0.1%
24614.94 1
0.1%
22866.22 1
0.1%
22540.63 1
0.1%
21489.6 1
0.1%
21237.53 1
0.1%
19689.22 1
0.1%

학급수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct62
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.432584
Minimum0
Maximum81
Zeros33
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2023-12-13T05:53:11.780095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median6
Q313.75
95-th percentile36
Maximum81
Range81
Interquartile range (IQR)11.75

Descriptive statistics

Standard deviation12.027607
Coefficient of variation (CV)1.1528885
Kurtosis4.7388241
Mean10.432584
Median Absolute Deviation (MAD)5
Skewness2.0196467
Sum12999
Variance144.66332
MonotonicityNot monotonic
2023-12-13T05:53:11.961019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 249
20.0%
6 163
13.1%
7 144
 
11.6%
3 74
 
5.9%
4 58
 
4.7%
2 45
 
3.6%
0 33
 
2.6%
5 31
 
2.5%
8 30
 
2.4%
10 26
 
2.1%
Other values (52) 393
31.5%
ValueCountFrequency (%)
0 33
 
2.6%
1 249
20.0%
2 45
 
3.6%
3 74
 
5.9%
4 58
 
4.7%
5 31
 
2.5%
6 163
13.1%
7 144
11.6%
8 30
 
2.4%
9 22
 
1.8%
ValueCountFrequency (%)
81 1
0.1%
75 1
0.1%
74 1
0.1%
71 1
0.1%
69 1
0.1%
66 1
0.1%
62 1
0.1%
61 1
0.1%
58 1
0.1%
54 1
0.1%

학생수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct456
Distinct (%)36.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean206.91653
Minimum0
Maximum2280
Zeros33
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2023-12-13T05:53:12.111088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q115
median61
Q3242.25
95-th percentile927.25
Maximum2280
Range2280
Interquartile range (IQR)227.25

Descriptive statistics

Standard deviation319.15403
Coefficient of variation (CV)1.5424289
Kurtosis6.4887747
Mean206.91653
Median Absolute Deviation (MAD)56
Skewness2.3649171
Sum257818
Variance101859.3
MonotonicityNot monotonic
2023-12-13T05:53:12.276545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 41
 
3.3%
5 41
 
3.3%
4 41
 
3.3%
6 34
 
2.7%
0 33
 
2.6%
8 19
 
1.5%
2 18
 
1.4%
7 17
 
1.4%
52 16
 
1.3%
12 15
 
1.2%
Other values (446) 971
77.9%
ValueCountFrequency (%)
0 33
2.6%
1 6
 
0.5%
2 18
1.4%
3 41
3.3%
4 41
3.3%
5 41
3.3%
6 34
2.7%
7 17
1.4%
8 19
1.5%
9 14
 
1.1%
ValueCountFrequency (%)
2280 1
0.1%
2268 1
0.1%
2098 1
0.1%
1796 1
0.1%
1610 1
0.1%
1579 1
0.1%
1489 1
0.1%
1395 1
0.1%
1339 1
0.1%
1336 1
0.1%

우편번호
Real number (ℝ)

Distinct607
Distinct (%)48.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32200.246
Minimum30959
Maximum35311
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2023-12-13T05:53:12.440858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30959
5-th percentile31085
Q131467.5
median32156
Q332913
95-th percentile33517
Maximum35311
Range4352
Interquartile range (IQR)1445.5

Descriptive statistics

Standard deviation812.49447
Coefficient of variation (CV)0.025232555
Kurtosis-1.0666929
Mean32200.246
Median Absolute Deviation (MAD)698
Skewness0.22103188
Sum40121507
Variance660147.27
MonotonicityNot monotonic
2023-12-13T05:53:12.605144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33411 10
 
0.8%
31156 8
 
0.6%
32292 7
 
0.6%
31771 7
 
0.6%
31166 5
 
0.4%
31233 5
 
0.4%
33430 5
 
0.4%
31055 5
 
0.4%
32954 5
 
0.4%
31998 5
 
0.4%
Other values (597) 1184
95.0%
ValueCountFrequency (%)
30959 1
 
0.1%
31000 2
0.2%
31001 2
0.2%
31005 4
0.3%
31008 2
0.2%
31014 2
0.2%
31015 2
0.2%
31017 1
 
0.1%
31019 1
 
0.1%
31027 1
 
0.1%
ValueCountFrequency (%)
35311 1
 
0.1%
33673 1
 
0.1%
33670 2
0.2%
33665 1
 
0.1%
33659 3
0.2%
33658 2
0.2%
33657 2
0.2%
33653 2
0.2%
33652 1
 
0.1%
33650 2
0.2%

주소
Text

Distinct912
Distinct (%)73.2%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
2023-12-13T05:53:13.027615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length27
Mean length18.702247
Min length10

Characters and Unicode

Total characters23303
Distinct characters283
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique583 ?
Unique (%)46.8%

Sample

1st row충남 천안시 동남구 중앙로 169
2nd row충남 천안시 동남구 영성로 73
3rd row충남 천안시 동남구 버들1길30
4th row충남 천안시 서북구 한들2로 34-41
5th row충남 천안시 서북구 공대길 37
ValueCountFrequency (%)
충남 1094
 
18.1%
천안시 254
 
4.2%
아산시 146
 
2.4%
동남구 127
 
2.1%
서북구 125
 
2.1%
서산시 96
 
1.6%
당진시 91
 
1.5%
논산시 87
 
1.4%
공주시 87
 
1.4%
보령시 84
 
1.4%
Other values (1416) 3845
63.7%
2023-12-13T05:53:13.573077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4854
20.8%
남 1306
 
5.6%
충 1147
 
4.9%
1 924
 
4.0%
시 894
 
3.8%
로 835
 
3.6%
산 668
 
2.9%
면 636
 
2.7%
2 562
 
2.4%
길 529
 
2.3%
Other values (273) 10948
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14013
60.1%
Space Separator 4854
 
20.8%
Decimal Number 4054
 
17.4%
Dash Punctuation 279
 
1.2%
Open Punctuation 50
 
0.2%
Close Punctuation 50
 
0.2%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 1306
 
9.3%
충 1147
 
8.2%
시 894
 
6.4%
로 835
 
6.0%
산 668
 
4.8%
면 636
 
4.5%
길 529
 
3.8%
천 455
 
3.2%
군 394
 
2.8%
안 369
 
2.6%
Other values (258) 6780
48.4%
Decimal Number
ValueCountFrequency (%)
1 924
22.8%
2 562
13.9%
3 517
12.8%
5 376
9.3%
4 332
 
8.2%
7 295
 
7.3%
6 288
 
7.1%
9 264
 
6.5%
0 252
 
6.2%
8 244
 
6.0%
Space Separator
ValueCountFrequency (%)
4854
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 279
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14013
60.1%
Common 9290
39.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 1306
 
9.3%
충 1147
 
8.2%
시 894
 
6.4%
로 835
 
6.0%
산 668
 
4.8%
면 636
 
4.5%
길 529
 
3.8%
천 455
 
3.2%
군 394
 
2.8%
안 369
 
2.6%
Other values (258) 6780
48.4%
Common
ValueCountFrequency (%)
4854
52.2%
1 924
 
9.9%
2 562
 
6.0%
3 517
 
5.6%
5 376
 
4.0%
4 332
 
3.6%
7 295
 
3.2%
6 288
 
3.1%
- 279
 
3.0%
9 264
 
2.8%
Other values (5) 599
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14013
60.1%
ASCII 9290
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4854
52.2%
1 924
 
9.9%
2 562
 
6.0%
3 517
 
5.6%
5 376
 
4.0%
4 332
 
3.6%
7 295
 
3.2%
6 288
 
3.1%
- 279
 
3.0%
9 264
 
2.8%
Other values (5) 599
 
6.4%
Hangul
ValueCountFrequency (%)
남 1306
 
9.3%
충 1147
 
8.2%
시 894
 
6.4%
로 835
 
6.0%
산 668
 
4.8%
면 636
 
4.5%
길 529
 
3.8%
천 455
 
3.2%
군 394
 
2.8%
안 369
 
2.6%
Other values (258) 6780
48.4%

연락처
Text

Distinct1185
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
2023-12-13T05:53:13.911210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length12
Mean length12.02809
Min length12

Characters and Unicode

Total characters14987
Distinct characters17
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1124 ?
Unique (%)90.2%

Sample

1st row041-563-9807
2nd row041-552-3559
3rd row041-556-2910
4th row041-551-8380
5th row041-551-2461
ValueCountFrequency (%)
041-641-9018 2
 
0.2%
041-688-1592 2
 
0.2%
041-551-5804 2
 
0.2%
041-833-3090 2
 
0.2%
041-337-8007 2
 
0.2%
041-832-3190 2
 
0.2%
041-832-0091 2
 
0.2%
041-671-5000 2
 
0.2%
041-669-0152 2
 
0.2%
041-662-1045 2
 
0.2%
Other values (1175) 1226
98.4%
2023-12-13T05:53:14.376716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2494
16.6%
0 2145
14.3%
1 2010
13.4%
4 2007
13.4%
3 1216
8.1%
5 1174
7.8%
6 924
 
6.2%
2 909
 
6.1%
7 771
 
5.1%
8 683
 
4.6%
Other values (7) 654
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12473
83.2%
Dash Punctuation 2494
 
16.6%
Space Separator 12
 
0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Math Symbol 2
 
< 0.1%
Other Letter 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2145
17.2%
1 2010
16.1%
4 2007
16.1%
3 1216
9.7%
5 1174
9.4%
6 924
7.4%
2 909
7.3%
7 771
 
6.2%
8 683
 
5.5%
9 634
 
5.1%
Other Letter
ValueCountFrequency (%)
교 1
50.0%
행 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 2494
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14985
> 99.9%
Hangul 2
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2494
16.6%
0 2145
14.3%
1 2010
13.4%
4 2007
13.4%
3 1216
8.1%
5 1174
7.8%
6 924
 
6.2%
2 909
 
6.1%
7 771
 
5.1%
8 683
 
4.6%
Other values (5) 652
 
4.4%
Hangul
ValueCountFrequency (%)
교 1
50.0%
행 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14985
> 99.9%
Hangul 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2494
16.6%
0 2145
14.3%
1 2010
13.4%
4 2007
13.4%
3 1216
8.1%
5 1174
7.8%
6 924
 
6.2%
2 909
 
6.1%
7 771
 
5.1%
8 683
 
4.6%
Other values (5) 652
 
4.4%
Hangul
ValueCountFrequency (%)
교 1
50.0%
행 1
50.0%

팩스번호
Text

Distinct887
Distinct (%)71.4%
Missing3
Missing (%)0.2%
Memory size9.9 KiB
2023-12-13T05:53:14.681056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.012068
Min length1

Characters and Unicode

Total characters14931
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique536 ?
Unique (%)43.1%

Sample

1st row041-568-0763
2nd row041-552-3564
3rd row041-551-8102
4th row041-553-4384
5th row041-555-6059
ValueCountFrequency (%)
041-854-5161 3
 
0.2%
041-674-5253 3
 
0.2%
041-837-0639 3
 
0.2%
041-742-7020 3
 
0.2%
041-544-0999 3
 
0.2%
041-362-5704 2
 
0.2%
041-352-4850 2
 
0.2%
041-352-1565 2
 
0.2%
041-956-7583 2
 
0.2%
041-352-9369 2
 
0.2%
Other values (874) 1217
98.0%
2023-12-13T05:53:15.101610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2484
16.6%
4 2155
14.4%
0 1871
12.5%
1 1839
12.3%
5 1240
8.3%
3 1227
8.2%
6 1012
6.8%
7 815
 
5.5%
8 790
 
5.3%
9 750
 
5.0%
Other values (3) 748
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12425
83.2%
Dash Punctuation 2484
 
16.6%
Space Separator 21
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 2155
17.3%
0 1871
15.1%
1 1839
14.8%
5 1240
10.0%
3 1227
9.9%
6 1012
8.1%
7 815
 
6.6%
8 790
 
6.4%
9 750
 
6.0%
2 726
 
5.8%
Dash Punctuation
ValueCountFrequency (%)
- 2484
100.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14931
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2484
16.6%
4 2155
14.4%
0 1871
12.5%
1 1839
12.3%
5 1240
8.3%
3 1227
8.2%
6 1012
6.8%
7 815
 
5.5%
8 790
 
5.3%
9 750
 
5.0%
Other values (3) 748
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14931
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2484
16.6%
4 2155
14.4%
0 1871
12.5%
1 1839
12.3%
5 1240
8.3%
3 1227
8.2%
6 1012
6.8%
7 815
 
5.5%
8 790
 
5.3%
9 750
 
5.0%
Other values (3) 748
 
5.0%

Interactions

2023-12-13T05:53:07.506453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:53:06.204291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:53:06.630031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:53:07.124357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:53:07.615480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:53:06.322593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:53:06.753957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:53:07.223636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:53:07.712636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:53:06.448605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:53:06.902050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:53:07.344658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:53:07.793526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:53:06.536019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:53:07.009111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:53:07.424469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:53:15.222714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분연면적학급수학생수(명)우편번호
구분1.0000.5400.4700.4350.000
연면적0.5401.0000.6300.7610.133
학급수0.4700.6301.0000.9200.223
학생수(명)0.4350.7610.9201.0000.226
우편번호0.0000.1330.2230.2261.000
2023-12-13T05:53:15.328878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연면적학급수학생수(명)우편번호구분
연면적1.0000.8910.849-0.1380.302
학급수0.8911.0000.948-0.2280.269
학생수(명)0.8490.9481.000-0.2980.232
우편번호-0.138-0.228-0.2981.0000.000
구분0.3020.2690.2320.0001.000

Missing values

2023-12-13T05:53:07.925582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:53:08.069499image/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

연번구분행정구역학교명연면적학급수학생수(명)우편번호주소연락처팩스번호
01유치원천안 성황동천안초등학교병설유치원90.011431122충남 천안시 동남구 중앙로 169041-563-9807041-568-0763
12유치원천안 오룡동천안중앙초등학교병설유치원700.01531129충남 천안시 동남구 영성로 73041-552-3559041-552-3564
23유치원천안 원성동천안남산초등학교병설유치원600.022931132충남 천안시 동남구 버들1길30041-556-2910041-551-8102
34유치원천안 백석동환서초등학교병설유치원135.01531097충남 천안시 서북구 한들2로 34-41041-551-8380041-553-4384
45유치원천안 부대동천안부대초등학교병설유치원101.2511631080충남 천안시 서북구 공대길 37041-551-2461041-555-6059
56유치원천안 업성동천안업성초등학교병설유치원132.01531076충남 천안시 서북구 업성 5길 20041-583-3687041-583-0600
67유치원천안 청수동천안청수초등학교병설유치원925.065131190충남 천안시 동남구 청수로 35-3041-551-6700041-551-8954
78유치원천안 원성동천안신안초등학교병설유치원405.035231125충남 천안시 동남구 원성25길 21041-622-7605041-622-7604
89유치원천안 안서동안서초등학교병설유치원168.31131066충남 천안시 동남구 중앙3길 10041-551-4530041-551-4533
910유치원천안 봉명동천안봉명초등학교병설유치원270.031631151충남 천안시 동남구 봉명2길 11041-576-3236041-577-3235
연번구분행정구역학교명연면적학급수학생수(명)우편번호주소연락처팩스번호
12361237특수학교아산 선장면아산성심학교7679.023820131546충남 아산시 선장면 아산만로 368041-541-8790041-541-0101
12371238특수학교논산 성동면성광온누리학교10789.63013532928충남 논산시 성동면 병촌길 89041-981-0003041-736-4800
12381239특수학교천안 병천면천안늘해랑학교4795.53137031256충남 천안시 동남구 병천면 유관순길 86041-417-2500041-554-2501
12391240특수학교당진 합덕읍당진꿈나래학교2519.832613831811충남 당진시 합덕읍 면천로 1590041-539-1000041-362-8861
12401241특수학교예산 봉산면예산꿈빛학교12915.02711932411충남 예산군 봉산면 하평1길 38041-339-2200041-338-9588
12411242특수학교천안 쌍용동나사렛새꿈학교3921.543112331172충남 천안시 서북구 월봉로 48041-579-1296041-579-1298
12421243특수학교보령 주교면보령정심학교4987.96187333447충남 보령시 주교면 보령북로 404041-931-1715041-932-7452
12431244각종학교아산 염치읍여해학교1912.823931451충남 아산시 염치읍 현충사길 93041-539-5452041-544-6326
12441245각종학교아산 둔포면충남다사랑학교4224.1432531409충남 아산시 둔포면 아산밸리동로 247041-427-3500041-549-6693
12451246각종학교천안 삼룡동드림학교607.532131071충남 천안시 동남구 충절로 535-31(고려신학대학원 내)041-563-1934041-563-1935