Overview

Dataset statistics

Number of variables16
Number of observations164
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.1 KiB
Average record size in memory131.8 B

Variable types

Numeric3
Categorical8
Text5

Dataset

Description세종시 관내 유치원, 초등학교, 중학교, 고등학교, 특수학교의 기관명, 전화번호, 주소, 학교 현황, URL 링크데이터 안내
Author세종특별자치시교육청
URLhttps://www.data.go.kr/data/15050939/fileData.do

Alerts

담당자명 has constant value ""Constant
교장명 has constant value ""Constant
교감명 has constant value ""Constant
행정실장명 has constant value ""Constant
상세주소 has constant value ""Constant
순번 is highly overall correlated with 학급수 and 2 other fieldsHigh correlation
학급수 is highly overall correlated with 순번 and 1 other fieldsHigh correlation
학생인원 is highly overall correlated with 순번 and 1 other fieldsHigh correlation
학교구분 is highly overall correlated with 순번High correlation
설립구분 is highly imbalanced (86.8%)Imbalance
순번 has unique valuesUnique
학교명 has unique valuesUnique
학급수 has 99 (60.4%) zerosZeros
학생인원 has 99 (60.4%) zerosZeros

Reproduction

Analysis started2023-12-12 05:31:26.996928
Analysis finished2023-12-12 05:31:29.072699
Duration2.08 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct164
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.5
Minimum1
Maximum164
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T14:31:29.169277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.15
Q141.75
median82.5
Q3123.25
95-th percentile155.85
Maximum164
Range163
Interquartile range (IQR)81.5

Descriptive statistics

Standard deviation47.48684
Coefficient of variation (CV)0.57559806
Kurtosis-1.2
Mean82.5
Median Absolute Deviation (MAD)41
Skewness0
Sum13530
Variance2255
MonotonicityStrictly increasing
2023-12-12T14:31:29.629643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
105 1
 
0.6%
107 1
 
0.6%
108 1
 
0.6%
109 1
 
0.6%
110 1
 
0.6%
111 1
 
0.6%
112 1
 
0.6%
113 1
 
0.6%
114 1
 
0.6%
Other values (154) 154
93.9%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
164 1
0.6%
163 1
0.6%
162 1
0.6%
161 1
0.6%
160 1
0.6%
159 1
0.6%
158 1
0.6%
157 1
0.6%
156 1
0.6%
155 1
0.6%

설립구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
공립
161 
사립
 
3

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공립 161
98.2%
사립 3
 
1.8%

Length

2023-12-12T14:31:29.775177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:31:29.910162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 161
98.2%
사립 3
 
1.8%

학교구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
유치원
63 
초등학교
52 
중학교
27 
고등학교
21 
특수학교
 
1

Length

Max length4
Median length3
Mean length3.4512195
Min length3

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
유치원 63
38.4%
초등학교 52
31.7%
중학교 27
16.5%
고등학교 21
 
12.8%
특수학교 1
 
0.6%

Length

2023-12-12T14:31:30.014910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:31:30.123509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유치원 63
38.4%
초등학교 52
31.7%
중학교 27
16.5%
고등학교 21
 
12.8%
특수학교 1
 
0.6%

학교명
Text

UNIQUE 

Distinct164
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T14:31:30.393240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length6.4573171
Min length5

Characters and Unicode

Total characters1059
Distinct characters110
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

Unique164 ?
Unique (%)100.0%

Sample

1st row조치원대동초등학교병설유치원
2nd row조치원명동초등학교병설유치원
3rd row조치원교동초등학교병설유치원
4th row조치원신봉초등학교병설유치원
5th row연남초등학교병설유치원
ValueCountFrequency (%)
조치원대동초등학교병설유치원 1
 
0.6%
새뜸초등학교 1
 
0.6%
해밀초등학교 1
 
0.6%
글벗초등학교 1
 
0.6%
다정초등학교 1
 
0.6%
새움초등학교 1
 
0.6%
한결초등학교 1
 
0.6%
대평초등학교 1
 
0.6%
솔빛초등학교 1
 
0.6%
반곡초등학교 1
 
0.6%
Other values (154) 154
93.9%
2023-12-12T14:31:30.889603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 122
 
11.5%
학 121
 
11.4%
등 91
 
8.6%
원 74
 
7.0%
초 72
 
6.8%
치 72
 
6.8%
유 63
 
5.9%
중 27
 
2.5%
고 24
 
2.3%
병 19
 
1.8%
Other values (100) 374
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1059
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 122
 
11.5%
학 121
 
11.4%
등 91
 
8.6%
원 74
 
7.0%
초 72
 
6.8%
치 72
 
6.8%
유 63
 
5.9%
중 27
 
2.5%
고 24
 
2.3%
병 19
 
1.8%
Other values (100) 374
35.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1059
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 122
 
11.5%
학 121
 
11.4%
등 91
 
8.6%
원 74
 
7.0%
초 72
 
6.8%
치 72
 
6.8%
유 63
 
5.9%
중 27
 
2.5%
고 24
 
2.3%
병 19
 
1.8%
Other values (100) 374
35.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1059
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 122
 
11.5%
학 121
 
11.4%
등 91
 
8.6%
원 74
 
7.0%
초 72
 
6.8%
치 72
 
6.8%
유 63
 
5.9%
중 27
 
2.5%
고 24
 
2.3%
병 19
 
1.8%
Other values (100) 374
35.3%

지역
Categorical

Distinct22
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
도담동
18 
고운동
16 
새롬동
15 
조치원읍
12 
반곡동
10 
Other values (17)
93 

Length

Max length4
Median length3
Mean length3.0731707
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row조치원읍
2nd row조치원읍
3rd row조치원읍
4th row조치원읍
5th row연기면

Common Values

ValueCountFrequency (%)
도담동 18
 
11.0%
고운동 16
 
9.8%
새롬동 15
 
9.1%
조치원읍 12
 
7.3%
반곡동 10
 
6.1%
연서면 10
 
6.1%
다정동 8
 
4.9%
소담동 8
 
4.9%
종촌동 8
 
4.9%
아름동 8
 
4.9%
Other values (12) 51
31.1%

Length

2023-12-12T14:31:31.086990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
도담동 18
 
11.0%
고운동 16
 
9.8%
새롬동 15
 
9.1%
조치원읍 12
 
7.3%
반곡동 10
 
6.1%
연서면 10
 
6.1%
다정동 8
 
4.9%
소담동 8
 
4.9%
종촌동 8
 
4.9%
아름동 8
 
4.9%
Other values (12) 51
31.1%

학교전화번호
Text

Distinct163
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T14:31:31.389176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1968
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

Unique162 ?
Unique (%)98.8%

Sample

1st row044-861-4605
2nd row044-862-5452
3rd row044-902-4874
4th row044-902-1470
5th row044-863-8355
ValueCountFrequency (%)
044-866-7058 2
 
1.2%
044-410-0201 1
 
0.6%
044-410-6002 1
 
0.6%
044-902-8600 1
 
0.6%
044-999-5300 1
 
0.6%
044-902-3800 1
 
0.6%
044-902-3200 1
 
0.6%
044-902-3400 1
 
0.6%
044-902-4100 1
 
0.6%
044-410-2500 1
 
0.6%
Other values (153) 153
93.3%
2023-12-12T14:31:31.928224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 460
23.4%
4 389
19.8%
- 328
16.7%
9 159
 
8.1%
2 125
 
6.4%
6 105
 
5.3%
1 96
 
4.9%
8 93
 
4.7%
3 93
 
4.7%
7 60
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1640
83.3%
Dash Punctuation 328
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 460
28.0%
4 389
23.7%
9 159
 
9.7%
2 125
 
7.6%
6 105
 
6.4%
1 96
 
5.9%
8 93
 
5.7%
3 93
 
5.7%
7 60
 
3.7%
5 60
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 328
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1968
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 460
23.4%
4 389
19.8%
- 328
16.7%
9 159
 
8.1%
2 125
 
6.4%
6 105
 
5.3%
1 96
 
4.9%
8 93
 
4.7%
3 93
 
4.7%
7 60
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 460
23.4%
4 389
19.8%
- 328
16.7%
9 159
 
8.1%
2 125
 
6.4%
6 105
 
5.3%
1 96
 
4.9%
8 93
 
4.7%
3 93
 
4.7%
7 60
 
3.0%

학교팩스번호
Text

Distinct144
Distinct (%)87.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T14:31:32.425383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1968
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

Unique124 ?
Unique (%)75.6%

Sample

1st row044-867-3423
2nd row044-866-9990
3rd row044-902-4860
4th row044-866-9991
5th row044-863-5717
ValueCountFrequency (%)
044-867-3423 2
 
1.2%
044-863-5716 2
 
1.2%
044-855-0788 2
 
1.2%
044-866-9990 2
 
1.2%
044-867-5712 2
 
1.2%
044-410-2581 2
 
1.2%
044-566-6465 2
 
1.2%
044-863-6552 2
 
1.2%
044-863-5711 2
 
1.2%
044-867-7134 2
 
1.2%
Other values (134) 144
87.8%
2023-12-12T14:31:33.088751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 388
19.7%
- 328
16.7%
0 316
16.1%
9 222
11.3%
6 126
 
6.4%
2 115
 
5.8%
1 106
 
5.4%
3 105
 
5.3%
8 101
 
5.1%
7 83
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1640
83.3%
Dash Punctuation 328
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 388
23.7%
0 316
19.3%
9 222
13.5%
6 126
 
7.7%
2 115
 
7.0%
1 106
 
6.5%
3 105
 
6.4%
8 101
 
6.2%
7 83
 
5.1%
5 78
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 328
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1968
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 388
19.7%
- 328
16.7%
0 316
16.1%
9 222
11.3%
6 126
 
6.4%
2 115
 
5.8%
1 106
 
5.4%
3 105
 
5.3%
8 101
 
5.1%
7 83
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 388
19.7%
- 328
16.7%
0 316
16.1%
9 222
11.3%
6 126
 
6.4%
2 115
 
5.8%
1 106
 
5.4%
3 105
 
5.3%
8 101
 
5.1%
7 83
 
4.2%

담당자명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
담당자명
164 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
담당자명 164
100.0%

Length

2023-12-12T14:31:33.313645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:31:33.468110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
담당자명 164
100.0%

학급수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct16
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.902439
Minimum0
Maximum28
Zeros99
Zeros (%)60.4%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T14:31:33.596318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36.25
95-th percentile11
Maximum28
Range28
Interquartile range (IQR)6.25

Descriptive statistics

Standard deviation4.6841588
Coefficient of variation (CV)1.6138698
Kurtosis4.267054
Mean2.902439
Median Absolute Deviation (MAD)0
Skewness1.809908
Sum476
Variance21.941344
MonotonicityNot monotonic
2023-12-12T14:31:33.782323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 99
60.4%
9 20
 
12.2%
1 12
 
7.3%
11 6
 
3.7%
10 5
 
3.0%
7 4
 
2.4%
3 3
 
1.8%
2 3
 
1.8%
6 3
 
1.8%
4 2
 
1.2%
Other values (6) 7
 
4.3%
ValueCountFrequency (%)
0 99
60.4%
1 12
 
7.3%
2 3
 
1.8%
3 3
 
1.8%
4 2
 
1.2%
5 1
 
0.6%
6 3
 
1.8%
7 4
 
2.4%
8 1
 
0.6%
9 20
 
12.2%
ValueCountFrequency (%)
28 1
 
0.6%
17 1
 
0.6%
15 1
 
0.6%
13 2
 
1.2%
11 6
 
3.7%
10 5
 
3.0%
9 20
12.2%
8 1
 
0.6%
7 4
 
2.4%
6 3
 
1.8%

학생인원
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct55
Distinct (%)33.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43
Minimum0
Maximum461
Zeros99
Zeros (%)60.4%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T14:31:34.013875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q383.25
95-th percentile168.55
Maximum461
Range461
Interquartile range (IQR)83.25

Descriptive statistics

Standard deviation74.156773
Coefficient of variation (CV)1.7245761
Kurtosis5.9767866
Mean43
Median Absolute Deviation (MAD)0
Skewness2.100884
Sum7052
Variance5499.227
MonotonicityNot monotonic
2023-12-12T14:31:34.197208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 99
60.4%
136 4
 
2.4%
148 3
 
1.8%
13 2
 
1.2%
166 2
 
1.2%
119 2
 
1.2%
5 2
 
1.2%
151 2
 
1.2%
8 2
 
1.2%
83 1
 
0.6%
Other values (45) 45
27.4%
ValueCountFrequency (%)
0 99
60.4%
3 1
 
0.6%
4 1
 
0.6%
5 2
 
1.2%
6 1
 
0.6%
8 2
 
1.2%
9 1
 
0.6%
10 1
 
0.6%
11 1
 
0.6%
12 1
 
0.6%
ValueCountFrequency (%)
461 1
0.6%
290 1
0.6%
268 1
0.6%
213 1
0.6%
197 1
0.6%
196 1
0.6%
188 1
0.6%
172 1
0.6%
169 1
0.6%
166 2
1.2%

교장명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
교장명
164 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
교장명 164
100.0%

Length

2023-12-12T14:31:34.363351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:31:34.505493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교장명 164
100.0%

교감명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
교감명
164 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
교감명 164
100.0%

Length

2023-12-12T14:31:34.650710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:31:34.780513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교감명 164
100.0%

행정실장명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
행정실장명
164 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
행정실장명 164
100.0%

Length

2023-12-12T14:31:34.909395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:31:35.041496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
행정실장명 164
100.0%

주소
Text

Distinct143
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T14:31:35.499563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length16.719512
Min length14

Characters and Unicode

Total characters2742
Distinct characters105
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique122 ?
Unique (%)74.4%

Sample

1st row세종특별자치시 조치원읍 대동학교길 11
2nd row세종특별자치시 조치원읍 조치원10길 35
3rd row세종특별자치시 조치원읍 새내 18길 21
4th row세종특별자치시 조치원읍 서북부로 10
5th row세종특별자치시 연기면 연기길 2
ValueCountFrequency (%)
세종특별자치시 164
30.2%
조치원읍 13
 
2.4%
연서면 10
 
1.8%
만남로 10
 
1.8%
달빛1로 9
 
1.7%
10 7
 
1.3%
다정남로 5
 
0.9%
시청대로 5
 
0.9%
장군면 5
 
0.9%
15 5
 
0.9%
Other values (185) 310
57.1%
2023-12-12T14:31:36.042734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
379
13.8%
치 180
 
6.6%
세 170
 
6.2%
종 170
 
6.2%
시 169
 
6.2%
특 164
 
6.0%
별 164
 
6.0%
자 164
 
6.0%
로 134
 
4.9%
1 122
 
4.4%
Other values (95) 926
33.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1875
68.4%
Decimal Number 466
 
17.0%
Space Separator 379
 
13.8%
Dash Punctuation 20
 
0.7%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 180
 
9.6%
세 170
 
9.1%
종 170
 
9.1%
시 169
 
9.0%
특 164
 
8.7%
별 164
 
8.7%
자 164
 
8.7%
로 134
 
7.1%
면 37
 
2.0%
길 30
 
1.6%
Other values (81) 493
26.3%
Decimal Number
ValueCountFrequency (%)
1 122
26.2%
2 61
13.1%
3 60
12.9%
6 46
 
9.9%
0 35
 
7.5%
4 34
 
7.3%
5 34
 
7.3%
9 29
 
6.2%
7 26
 
5.6%
8 19
 
4.1%
Space Separator
ValueCountFrequency (%)
379
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1875
68.4%
Common 867
31.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 180
 
9.6%
세 170
 
9.1%
종 170
 
9.1%
시 169
 
9.0%
특 164
 
8.7%
별 164
 
8.7%
자 164
 
8.7%
로 134
 
7.1%
면 37
 
2.0%
길 30
 
1.6%
Other values (81) 493
26.3%
Common
ValueCountFrequency (%)
379
43.7%
1 122
 
14.1%
2 61
 
7.0%
3 60
 
6.9%
6 46
 
5.3%
0 35
 
4.0%
4 34
 
3.9%
5 34
 
3.9%
9 29
 
3.3%
7 26
 
3.0%
Other values (4) 41
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1875
68.4%
ASCII 867
31.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
379
43.7%
1 122
 
14.1%
2 61
 
7.0%
3 60
 
6.9%
6 46
 
5.3%
0 35
 
4.0%
4 34
 
3.9%
5 34
 
3.9%
9 29
 
3.3%
7 26
 
3.0%
Other values (4) 41
 
4.7%
Hangul
ValueCountFrequency (%)
치 180
 
9.6%
세 170
 
9.1%
종 170
 
9.1%
시 169
 
9.0%
특 164
 
8.7%
별 164
 
8.7%
자 164
 
8.7%
로 134
 
7.1%
면 37
 
2.0%
길 30
 
1.6%
Other values (81) 493
26.3%

상세주소
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
상세주소
164 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상세주소 164
100.0%

Length

2023-12-12T14:31:36.173936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:31:36.264331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상세주소 164
100.0%

홈페이지주소
Text

Distinct144
Distinct (%)87.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T14:31:36.442778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length27
Mean length21.408537
Min length1

Characters and Unicode

Total characters3511
Distinct characters27
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique143 ?
Unique (%)87.2%

Sample

1st row#
2nd row#
3rd row#
4th row#
5th row#
ValueCountFrequency (%)
21
 
12.8%
http://charmsaem.sjedukg.kr 1
 
0.6%
http://bugang.sjedums.kr 1
 
0.6%
http://haemil.sjedues.kr 1
 
0.6%
http://naseong.sjedues.kr 1
 
0.6%
http://jiphyeon.sjedues.kr 1
 
0.6%
http://jochiwon.sjedums.kr 1
 
0.6%
http://sejong.sjedums.kr 1
 
0.6%
http://yeondong.sjedums.kr 1
 
0.6%
http://geumho.sjedums.kr 1
 
0.6%
Other values (134) 134
81.7%
2023-12-12T14:31:36.788075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 317
 
9.0%
t 306
 
8.7%
s 305
 
8.7%
. 286
 
8.1%
e 283
 
8.1%
k 195
 
5.6%
h 192
 
5.5%
u 187
 
5.3%
j 183
 
5.2%
d 181
 
5.2%
Other values (17) 1076
30.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2742
78.1%
Other Punctuation 767
 
21.8%
Uppercase Letter 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 306
11.2%
s 305
11.1%
e 283
10.3%
k 195
 
7.1%
h 192
 
7.0%
u 187
 
6.8%
j 183
 
6.7%
d 181
 
6.6%
r 173
 
6.3%
p 149
 
5.4%
Other values (11) 588
21.4%
Other Punctuation
ValueCountFrequency (%)
/ 317
41.3%
. 286
37.3%
: 143
18.6%
# 21
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
U 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2743
78.1%
Common 768
 
21.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 306
11.2%
s 305
11.1%
e 283
10.3%
k 195
 
7.1%
h 192
 
7.0%
u 187
 
6.8%
j 183
 
6.7%
d 181
 
6.6%
r 173
 
6.3%
p 149
 
5.4%
Other values (12) 589
21.5%
Common
ValueCountFrequency (%)
/ 317
41.3%
. 286
37.2%
: 143
18.6%
# 21
 
2.7%
- 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3511
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 317
 
9.0%
t 306
 
8.7%
s 305
 
8.7%
. 286
 
8.1%
e 283
 
8.1%
k 195
 
5.6%
h 192
 
5.5%
u 187
 
5.3%
j 183
 
5.2%
d 181
 
5.2%
Other values (17) 1076
30.6%

Interactions

2023-12-12T14:31:28.350565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:31:27.654270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:31:28.070071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:31:28.454064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:31:27.802862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:31:28.176516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:31:28.536440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:31:27.923171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:31:28.269984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:31:36.886094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번설립구분학교구분지역학급수학생인원
순번1.0000.2180.9800.6210.5990.582
설립구분0.2181.0000.0000.0000.1150.000
학교구분0.9800.0001.0000.0000.5210.501
지역0.6210.0000.0001.0000.0000.000
학급수0.5990.1150.5210.0001.0000.991
학생인원0.5820.0000.5010.0000.9911.000
2023-12-12T14:31:37.000852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
학교구분설립구분지역
학교구분1.0000.0000.000
설립구분0.0001.0000.000
지역0.0000.0001.000
2023-12-12T14:31:37.105888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번학급수학생인원설립구분학교구분지역
순번1.000-0.728-0.7180.1620.7870.272
학급수-0.7281.0000.9960.0830.3500.000
학생인원-0.7180.9961.0000.0000.3330.000
설립구분0.1620.0830.0001.0000.0000.000
학교구분0.7870.3500.3330.0001.0000.000
지역0.2720.0000.0000.0000.0001.000

Missing values

2023-12-12T14:31:28.672891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:31:28.938297image/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

순번설립구분학교구분학교명지역학교전화번호학교팩스번호담당자명학급수학생인원교장명교감명행정실장명주소상세주소홈페이지주소
01공립유치원조치원대동초등학교병설유치원조치원읍044-861-4605044-867-3423담당자명450교장명교감명행정실장명세종특별자치시 조치원읍 대동학교길 11상세주소#
12공립유치원조치원명동초등학교병설유치원조치원읍044-862-5452044-866-9990담당자명13교장명교감명행정실장명세종특별자치시 조치원읍 조치원10길 35상세주소#
23공립유치원조치원교동초등학교병설유치원조치원읍044-902-4874044-902-4860담당자명319교장명교감명행정실장명세종특별자치시 조치원읍 새내 18길 21상세주소#
34공립유치원조치원신봉초등학교병설유치원조치원읍044-902-1470044-866-9991담당자명18교장명교감명행정실장명세종특별자치시 조치원읍 서북부로 10상세주소#
45공립유치원연남초등학교병설유치원연기면044-863-8355044-863-5717담당자명111교장명교감명행정실장명세종특별자치시 연기면 연기길 2상세주소#
56공립유치원연동초등학교병설유치원연동면044-864-7831044-866-9992담당자명16교장명교감명행정실장명세종특별자치시 연동면 청연로 606-36상세주소#
67공립유치원부강초등학교병설유치원부강면044-902-1690044-902-1675담당자명325교장명교감명행정실장명세종특별자치시 부강면 부강로 15상세주소#
78공립유치원금남초등학교병설유치원금남면044-866-9720044-866-5935담당자명338교장명교감명행정실장명세종특별자치시 금남면 금남구즉로 62상세주소#
89공립유치원감성초등학교병설유치원금남면044-866-7058044-866-5934담당자명113교장명교감명행정실장명세종특별자치시 금남면 감성길 6상세주소#
910공립유치원장기초등학교병설유치원장군면044-858-1249044-857-1007담당자명112교장명교감명행정실장명세종특별자치시 장군면 장척로 398-9상세주소#
순번설립구분학교구분학교명지역학교전화번호학교팩스번호담당자명학급수학생인원교장명교감명행정실장명주소상세주소홈페이지주소
154155공립고등학교보람고등학교보람동044-999-7121044-999-7129담당자명00교장명교감명행정실장명세종특별자치시 한누리대로 2176상세주소http://boram.sjeduhs.kr
155156공립고등학교새롬고등학교새롬동044-999-6300044-999-6310담당자명00교장명교감명행정실장명세종특별자치시 새롬서로 68상세주소http://saerom.sjeduhs.kr
156157공립고등학교소담고등학교소담동044-902-2200044-902-2210담당자명00교장명교감명행정실장명세종특별자치시 남세종로 326상세주소http://sodam.sjeduhs.kr
157158공립고등학교세종예술고등학교연기면044-902-3000044-902-3019담당자명00교장명교감명행정실장명세종특별자치시 연기면 중앙공원서로 60상세주소http://sjarts.sjeduhs.kr/
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