Overview

Dataset statistics

Number of variables13
Number of observations41
Missing cells41
Missing cells (%)7.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.5 KiB
Average record size in memory113.2 B

Variable types

Numeric5
Text5
Categorical1
Unsupported1
DateTime1

Dataset

Description대전광역시 서구 초등학교 현황정보에 관한 데이터이며, 학교명, 주소, 좌표, 법정동, 행정동, 전화번호 등을 제공합니다.
Author대전광역시 서구
URLhttps://www.data.go.kr/data/15075202/fileData.do

Alerts

데이터생성일자 has constant value ""Constant
행정동코드 is highly overall correlated with 법정동코드 and 1 other fieldsHigh correlation
법정동코드 is highly overall correlated with 행정동코드 and 2 other fieldsHigh correlation
X좌표 is highly overall correlated with 법정동코드 and 2 other fieldsHigh correlation
Y좌표 is highly overall correlated with X좌표 and 1 other fieldsHigh correlation
법정동 is highly overall correlated with 행정동코드 and 3 other fieldsHigh correlation
비고 has 41 (100.0%) missing valuesMissing
순번 has unique valuesUnique
학교명 has unique valuesUnique
새주소 has unique valuesUnique
주소 has unique valuesUnique
X좌표 has unique valuesUnique
Y좌표 has unique valuesUnique
전화번호 has unique valuesUnique
비고 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 11:06:30.237768
Analysis finished2023-12-12 11:06:35.876692
Duration5.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61
Minimum41
Maximum81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T20:06:36.000289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41
5-th percentile43
Q151
median61
Q371
95-th percentile79
Maximum81
Range40
Interquartile range (IQR)20

Descriptive statistics

Standard deviation11.979149
Coefficient of variation (CV)0.19637948
Kurtosis-1.2
Mean61
Median Absolute Deviation (MAD)10
Skewness0
Sum2501
Variance143.5
MonotonicityStrictly increasing
2023-12-12T20:06:36.235568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
41 1
 
2.4%
72 1
 
2.4%
64 1
 
2.4%
65 1
 
2.4%
66 1
 
2.4%
67 1
 
2.4%
68 1
 
2.4%
69 1
 
2.4%
70 1
 
2.4%
71 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
41 1
2.4%
42 1
2.4%
43 1
2.4%
44 1
2.4%
45 1
2.4%
46 1
2.4%
47 1
2.4%
48 1
2.4%
49 1
2.4%
50 1
2.4%
ValueCountFrequency (%)
81 1
2.4%
80 1
2.4%
79 1
2.4%
78 1
2.4%
77 1
2.4%
76 1
2.4%
75 1
2.4%
74 1
2.4%
73 1
2.4%
72 1
2.4%

학교명
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T20:06:36.551640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length8.0243902
Min length6

Characters and Unicode

Total characters329
Distinct characters65
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

Unique41 ?
Unique (%)100.0%

Sample

1st row가수원초등학교
2nd row기성초등학교
3rd row기성초등학교 길헌분교장
4th row대전가장초등학교
5th row대전갈마초등학교
ValueCountFrequency (%)
기성초등학교 2
 
4.8%
대전성룡초등학교 1
 
2.4%
대전봉산초등학교 1
 
2.4%
대전삼육초등학교 1
 
2.4%
대전삼천초등학교 1
 
2.4%
대전샘머리초등학교 1
 
2.4%
대전서부초등학교 1
 
2.4%
대전서원초등학교 1
 
2.4%
대전선암초등학교 1
 
2.4%
대전선유초등학교 1
 
2.4%
Other values (31) 31
73.8%
2023-12-12T20:06:37.083287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 42
12.8%
초 41
12.5%
등 41
12.5%
학 41
12.5%
대 37
11.2%
전 37
11.2%
천 5
 
1.5%
수 4
 
1.2%
원 4
 
1.2%
성 4
 
1.2%
Other values (55) 73
22.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 328
99.7%
Space Separator 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 42
12.8%
초 41
12.5%
등 41
12.5%
학 41
12.5%
대 37
11.3%
전 37
11.3%
천 5
 
1.5%
수 4
 
1.2%
원 4
 
1.2%
성 4
 
1.2%
Other values (54) 72
22.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 328
99.7%
Common 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 42
12.8%
초 41
12.5%
등 41
12.5%
학 41
12.5%
대 37
11.3%
전 37
11.3%
천 5
 
1.5%
수 4
 
1.2%
원 4
 
1.2%
성 4
 
1.2%
Other values (54) 72
22.0%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 328
99.7%
ASCII 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 42
12.8%
초 41
12.5%
등 41
12.5%
학 41
12.5%
대 37
11.3%
전 37
11.3%
천 5
 
1.5%
수 4
 
1.2%
원 4
 
1.2%
성 4
 
1.2%
Other values (54) 72
22.0%
ASCII
ValueCountFrequency (%)
1
100.0%

새주소
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T20:06:37.402085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length19
Mean length15.317073
Min length13

Characters and Unicode

Total characters628
Distinct characters75
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

Unique41 ?
Unique (%)100.0%

Sample

1st row서구 벌곡로1359(가수원동)
2nd row서구 기성초교길42(매노동)
3rd row서구 당고개길48(평촌동)
4th row서구 가장로 150(가장동)
5th row서구 월평동로2(갈마동)
ValueCountFrequency (%)
서구 41
44.1%
갈마역로 2
 
2.2%
벌곡로1359(가수원동 1
 
1.1%
신갈마로141번길45(갈마동 1
 
1.1%
도림1길15(도마동 1
 
1.1%
둔산북로232-33(둔산동 1
 
1.1%
유등로879(둔산동 1
 
1.1%
동서대로 1
 
1.1%
968(변동 1
 
1.1%
문정로279(둔산동 1
 
1.1%
Other values (42) 42
45.2%
2023-12-12T20:06:37.888516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
52
 
8.3%
동 48
 
7.6%
서 44
 
7.0%
( 41
 
6.5%
구 41
 
6.5%
) 41
 
6.5%
로 36
 
5.7%
1 26
 
4.1%
2 22
 
3.5%
저 14
 
2.2%
Other values (65) 263
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 370
58.9%
Decimal Number 122
 
19.4%
Space Separator 52
 
8.3%
Open Punctuation 41
 
6.5%
Close Punctuation 41
 
6.5%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 48
 
13.0%
서 44
 
11.9%
구 41
 
11.1%
로 36
 
9.7%
저 14
 
3.8%
관 14
 
3.8%
길 12
 
3.2%
도 10
 
2.7%
마 9
 
2.4%
산 8
 
2.2%
Other values (51) 134
36.2%
Decimal Number
ValueCountFrequency (%)
1 26
21.3%
2 22
18.0%
3 12
9.8%
4 10
 
8.2%
0 10
 
8.2%
6 10
 
8.2%
5 9
 
7.4%
9 9
 
7.4%
7 7
 
5.7%
8 7
 
5.7%
Space Separator
ValueCountFrequency (%)
52
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 370
58.9%
Common 258
41.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 48
 
13.0%
서 44
 
11.9%
구 41
 
11.1%
로 36
 
9.7%
저 14
 
3.8%
관 14
 
3.8%
길 12
 
3.2%
도 10
 
2.7%
마 9
 
2.4%
산 8
 
2.2%
Other values (51) 134
36.2%
Common
ValueCountFrequency (%)
52
20.2%
( 41
15.9%
) 41
15.9%
1 26
10.1%
2 22
8.5%
3 12
 
4.7%
4 10
 
3.9%
0 10
 
3.9%
6 10
 
3.9%
5 9
 
3.5%
Other values (4) 25
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 370
58.9%
ASCII 258
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
52
20.2%
( 41
15.9%
) 41
15.9%
1 26
10.1%
2 22
8.5%
3 12
 
4.7%
4 10
 
3.9%
0 10
 
3.9%
6 10
 
3.9%
5 9
 
3.5%
Other values (4) 25
9.7%
Hangul
ValueCountFrequency (%)
동 48
 
13.0%
서 44
 
11.9%
구 41
 
11.1%
로 36
 
9.7%
저 14
 
3.8%
관 14
 
3.8%
길 12
 
3.2%
도 10
 
2.7%
마 9
 
2.4%
산 8
 
2.2%
Other values (51) 134
36.2%

주소
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T20:06:38.204174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length16.707317
Min length14

Characters and Unicode

Total characters685
Distinct characters48
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

Unique41 ?
Unique (%)100.0%

Sample

1st row대전광역시 서구 가수원동 471
2nd row대전광역시 서구 매노동 163
3rd row대전광역시 서구 평촌동 297
4th row대전광역시 서구 가장동 25-1
5th row대전광역시 서구 갈마동 114-26
ValueCountFrequency (%)
대전광역시 41
25.0%
서구 41
25.0%
관저동 7
 
4.3%
둔산동 6
 
3.7%
월평동 4
 
2.4%
도마동 3
 
1.8%
갈마동 3
 
1.8%
도안동 3
 
1.8%
복수동 2
 
1.2%
변동 2
 
1.2%
Other values (51) 52
31.7%
2023-12-12T20:06:38.766183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
124
18.1%
대 41
 
6.0%
전 41
 
6.0%
광 41
 
6.0%
역 41
 
6.0%
시 41
 
6.0%
서 41
 
6.0%
구 41
 
6.0%
동 41
 
6.0%
1 37
 
5.4%
Other values (38) 196
28.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 408
59.6%
Decimal Number 142
 
20.7%
Space Separator 124
 
18.1%
Dash Punctuation 11
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 41
10.0%
전 41
10.0%
광 41
10.0%
역 41
10.0%
시 41
10.0%
서 41
10.0%
구 41
10.0%
동 41
10.0%
저 7
 
1.7%
관 7
 
1.7%
Other values (26) 66
16.2%
Decimal Number
ValueCountFrequency (%)
1 37
26.1%
3 21
14.8%
2 15
10.6%
4 14
 
9.9%
9 12
 
8.5%
6 11
 
7.7%
8 10
 
7.0%
5 8
 
5.6%
7 7
 
4.9%
0 7
 
4.9%
Space Separator
ValueCountFrequency (%)
124
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 408
59.6%
Common 277
40.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 41
10.0%
전 41
10.0%
광 41
10.0%
역 41
10.0%
시 41
10.0%
서 41
10.0%
구 41
10.0%
동 41
10.0%
저 7
 
1.7%
관 7
 
1.7%
Other values (26) 66
16.2%
Common
ValueCountFrequency (%)
124
44.8%
1 37
 
13.4%
3 21
 
7.6%
2 15
 
5.4%
4 14
 
5.1%
9 12
 
4.3%
- 11
 
4.0%
6 11
 
4.0%
8 10
 
3.6%
5 8
 
2.9%
Other values (2) 14
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 408
59.6%
ASCII 277
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
124
44.8%
1 37
 
13.4%
3 21
 
7.6%
2 15
 
5.4%
4 14
 
5.1%
9 12
 
4.3%
- 11
 
4.0%
6 11
 
4.0%
8 10
 
3.6%
5 8
 
2.9%
Other values (2) 14
 
5.1%
Hangul
ValueCountFrequency (%)
대 41
10.0%
전 41
10.0%
광 41
10.0%
역 41
10.0%
시 41
10.0%
서 41
10.0%
구 41
10.0%
동 41
10.0%
저 7
 
1.7%
관 7
 
1.7%
Other values (26) 66
16.2%

행정동코드
Real number (ℝ)

HIGH CORRELATION 

Distinct23
Distinct (%)56.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0170586 × 109
Minimum3.017051 × 109
Maximum3.017066 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T20:06:38.983816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.017051 × 109
5-th percentile3.017052 × 109
Q13.017056 × 109
median3.017059 × 109
Q33.0170597 × 109
95-th percentile3.017065 × 109
Maximum3.017066 × 109
Range15000
Interquartile range (IQR)3700

Descriptive statistics

Standard deviation4027.7104
Coefficient of variation (CV)1.3349792 × 10-6
Kurtosis-0.45500793
Mean3.0170586 × 109
Median Absolute Deviation (MAD)1500
Skewness-0.035783435
Sum1.236994 × 1011
Variance16222451
MonotonicityNot monotonic
2023-12-12T20:06:39.214298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
3017059700 5
 
12.2%
3017059300 3
 
7.3%
3017064000 3
 
7.3%
3017065000 2
 
4.9%
3017054000 2
 
4.9%
3017066000 2
 
4.9%
3017060000 2
 
4.9%
3017053500 2
 
4.9%
3017051000 2
 
4.9%
3017053000 2
 
4.9%
Other values (13) 16
39.0%
ValueCountFrequency (%)
3017051000 2
4.9%
3017052000 1
2.4%
3017053000 2
4.9%
3017053500 2
4.9%
3017054000 2
4.9%
3017055500 1
2.4%
3017056000 1
2.4%
3017057000 1
2.4%
3017057500 1
2.4%
3017058100 2
4.9%
ValueCountFrequency (%)
3017066000 2
 
4.9%
3017065000 2
 
4.9%
3017064000 3
7.3%
3017063000 1
 
2.4%
3017060000 2
 
4.9%
3017059700 5
12.2%
3017059600 2
 
4.9%
3017059300 3
7.3%
3017059000 1
 
2.4%
3017058800 2
 
4.9%

행정동
Text

Distinct23
Distinct (%)56.1%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T20:06:39.511582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.5121951
Min length2

Characters and Unicode

Total characters144
Distinct characters30
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

Unique10 ?
Unique (%)24.4%

Sample

1st row가수원동
2nd row기성동
3rd row기성동
4th row가장동
5th row갈마1동
ValueCountFrequency (%)
관저2동 5
 
12.2%
도안동 3
 
7.3%
둔산2동 3
 
7.3%
기성동 2
 
4.9%
정림동 2
 
4.9%
둔산3동 2
 
4.9%
만년동 2
 
4.9%
변동 2
 
4.9%
월평3동 2
 
4.9%
도마2동 2
 
4.9%
Other values (13) 16
39.0%
2023-12-12T20:06:40.081333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 41
28.5%
2 12
 
8.3%
관 7
 
4.9%
저 7
 
4.9%
1 7
 
4.9%
마 6
 
4.2%
둔 6
 
4.2%
산 6
 
4.2%
도 6
 
4.2%
평 4
 
2.8%
Other values (20) 42
29.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 121
84.0%
Decimal Number 23
 
16.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 41
33.9%
관 7
 
5.8%
저 7
 
5.8%
마 6
 
5.0%
둔 6
 
5.0%
산 6
 
5.0%
도 6
 
5.0%
평 4
 
3.3%
월 4
 
3.3%
갈 3
 
2.5%
Other values (17) 31
25.6%
Decimal Number
ValueCountFrequency (%)
2 12
52.2%
1 7
30.4%
3 4
 
17.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 121
84.0%
Common 23
 
16.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 41
33.9%
관 7
 
5.8%
저 7
 
5.8%
마 6
 
5.0%
둔 6
 
5.0%
산 6
 
5.0%
도 6
 
5.0%
평 4
 
3.3%
월 4
 
3.3%
갈 3
 
2.5%
Other values (17) 31
25.6%
Common
ValueCountFrequency (%)
2 12
52.2%
1 7
30.4%
3 4
 
17.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 121
84.0%
ASCII 23
 
16.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 41
33.9%
관 7
 
5.8%
저 7
 
5.8%
마 6
 
5.0%
둔 6
 
5.0%
산 6
 
5.0%
도 6
 
5.0%
평 4
 
3.3%
월 4
 
3.3%
갈 3
 
2.5%
Other values (17) 31
25.6%
ASCII
ValueCountFrequency (%)
2 12
52.2%
1 7
30.4%
3 4
 
17.4%

법정동코드
Real number (ℝ)

HIGH CORRELATION 

Distinct18
Distinct (%)43.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0170112 × 109
Minimum3.0170101 × 109
Maximum3.0170128 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T20:06:40.309446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.0170101 × 109
5-th percentile3.0170102 × 109
Q13.0170109 × 109
median3.0170112 × 109
Q33.0170116 × 109
95-th percentile3.0170127 × 109
Maximum3.0170128 × 109
Range2700
Interquartile range (IQR)700

Descriptive statistics

Standard deviation673.71377
Coefficient of variation (CV)2.2330503 × 10-7
Kurtosis0.45152709
Mean3.0170112 × 109
Median Absolute Deviation (MAD)400
Skewness0.34765277
Sum1.2369746 × 1011
Variance453890.24
MonotonicityNot monotonic
2023-12-12T20:06:40.518088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
3017011600 7
17.1%
3017011200 6
14.6%
3017011300 4
9.8%
3017011500 3
 
7.3%
3017011100 3
 
7.3%
3017010300 3
 
7.3%
3017010200 2
 
4.9%
3017010100 2
 
4.9%
3017012800 2
 
4.9%
3017010600 1
 
2.4%
Other values (8) 8
19.5%
ValueCountFrequency (%)
3017010100 2
 
4.9%
3017010200 2
 
4.9%
3017010300 3
7.3%
3017010400 1
 
2.4%
3017010600 1
 
2.4%
3017010800 1
 
2.4%
3017010900 1
 
2.4%
3017011000 1
 
2.4%
3017011100 3
7.3%
3017011200 6
14.6%
ValueCountFrequency (%)
3017012800 2
 
4.9%
3017012700 1
 
2.4%
3017012100 1
 
2.4%
3017011800 1
 
2.4%
3017011600 7
17.1%
3017011500 3
7.3%
3017011400 1
 
2.4%
3017011300 4
9.8%
3017011200 6
14.6%
3017011100 3
7.3%

법정동
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)43.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
관저동
7 
둔산동
6 
월평동
4 
도안동
3 
갈마동
3 
Other values (13)
18 

Length

Max length4
Median length3
Mean length2.9512195
Min length2

Unique

Unique9 ?
Unique (%)22.0%

Sample

1st row가수원동
2nd row매노동
3rd row평촌동
4th row가장동
5th row갈마동

Common Values

ValueCountFrequency (%)
관저동 7
17.1%
둔산동 6
14.6%
월평동 4
9.8%
도안동 3
 
7.3%
갈마동 3
 
7.3%
도마동 3
 
7.3%
복수동 2
 
4.9%
변동 2
 
4.9%
만년동 2
 
4.9%
매노동 1
 
2.4%
Other values (8) 8
19.5%

Length

2023-12-12T20:06:40.767047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
관저동 7
17.1%
둔산동 6
14.6%
월평동 4
9.8%
도안동 3
 
7.3%
갈마동 3
 
7.3%
도마동 3
 
7.3%
복수동 2
 
4.9%
변동 2
 
4.9%
만년동 2
 
4.9%
괴정동 1
 
2.4%
Other values (8) 8
19.5%

X좌표
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.36581
Minimum127.31632
Maximum127.401
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T20:06:41.008956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.31632
5-th percentile127.32996
Q1127.34759
median127.37174
Q3127.37902
95-th percentile127.39445
Maximum127.401
Range0.0846864
Interquartile range (IQR)0.0314226

Descriptive statistics

Standard deviation0.021629621
Coefficient of variation (CV)0.00016982282
Kurtosis-0.6812174
Mean127.36581
Median Absolute Deviation (MAD)0.0138785
Skewness-0.45807165
Sum5221.9982
Variance0.00046784052
MonotonicityNot monotonic
2023-12-12T20:06:41.265834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
127.3536182 1
 
2.4%
127.3735791 1
 
2.4%
127.3724173 1
 
2.4%
127.4010035 1
 
2.4%
127.3933666 1
 
2.4%
127.3694187 1
 
2.4%
127.3943668 1
 
2.4%
127.3340007 1
 
2.4%
127.3411599 1
 
2.4%
127.3735892 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
127.3163171 1
2.4%
127.3262776 1
2.4%
127.3299624 1
2.4%
127.3340007 1
2.4%
127.3368776 1
2.4%
127.3380816 1
2.4%
127.3398808 1
2.4%
127.3411599 1
2.4%
127.3440451 1
2.4%
127.3446422 1
2.4%
ValueCountFrequency (%)
127.4010035 1
2.4%
127.3959931 1
2.4%
127.3944509 1
2.4%
127.3943668 1
2.4%
127.3933666 1
2.4%
127.3909192 1
2.4%
127.3884957 1
2.4%
127.3854895 1
2.4%
127.3848867 1
2.4%
127.3813823 1
2.4%

Y좌표
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.326023
Minimum36.241497
Maximum36.368196
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T20:06:41.491645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.241497
5-th percentile36.294433
Q136.30332
median36.324787
Q336.353976
95-th percentile36.363212
Maximum36.368196
Range0.1266993
Interquartile range (IQR)0.050656

Descriptive statistics

Standard deviation0.030391342
Coefficient of variation (CV)0.00083662727
Kurtosis0.4928672
Mean36.326023
Median Absolute Deviation (MAD)0.0250334
Skewness-0.70504795
Sum1489.3669
Variance0.00092363364
MonotonicityNot monotonic
2023-12-12T20:06:41.697707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
36.3026739 1
 
2.4%
36.3628933 1
 
2.4%
36.3118767 1
 
2.4%
36.3539764 1
 
2.4%
36.3632117 1
 
2.4%
36.3329952 1
 
2.4%
36.3592332 1
 
2.4%
36.2972849 1
 
2.4%
36.2946028 1
 
2.4%
36.3616316 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
36.2414967 1
2.4%
36.2491086 1
2.4%
36.2944326 1
2.4%
36.2946028 1
2.4%
36.2972849 1
2.4%
36.2981609 1
2.4%
36.2983949 1
2.4%
36.2995155 1
2.4%
36.3017039 1
2.4%
36.3026739 1
2.4%
ValueCountFrequency (%)
36.368196 1
2.4%
36.3667704 1
2.4%
36.3632117 1
2.4%
36.3628933 1
2.4%
36.3616316 1
2.4%
36.360519 1
2.4%
36.3592332 1
2.4%
36.3564092 1
2.4%
36.3557531 1
2.4%
36.3541326 1
2.4%

전화번호
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T20:06:42.063569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters492
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

Unique41 ?
Unique (%)100.0%

Sample

1st row042-541-1334
2nd row042-585-4611
3rd row042-583-8084
4th row042-527-7602
5th row042-486-0906
ValueCountFrequency (%)
042-541-1334 1
 
2.4%
042-580-3100 1
 
2.4%
042-537-3672 1
 
2.4%
042-486-0750 1
 
2.4%
042-488-8451 1
 
2.4%
042-535-1201 1
 
2.4%
042-488-0975 1
 
2.4%
042-542-2224 1
 
2.4%
042-540-5100 1
 
2.4%
042-483-6865 1
 
2.4%
Other values (31) 31
75.6%
2023-12-12T20:06:42.609529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 82
16.7%
4 79
16.1%
0 77
15.7%
2 63
12.8%
5 50
10.2%
3 33
6.7%
8 32
 
6.5%
1 24
 
4.9%
6 24
 
4.9%
7 18
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 410
83.3%
Dash Punctuation 82
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 79
19.3%
0 77
18.8%
2 63
15.4%
5 50
12.2%
3 33
8.0%
8 32
7.8%
1 24
 
5.9%
6 24
 
5.9%
7 18
 
4.4%
9 10
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 492
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 82
16.7%
4 79
16.1%
0 77
15.7%
2 63
12.8%
5 50
10.2%
3 33
6.7%
8 32
 
6.5%
1 24
 
4.9%
6 24
 
4.9%
7 18
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 492
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 82
16.7%
4 79
16.1%
0 77
15.7%
2 63
12.8%
5 50
10.2%
3 33
6.7%
8 32
 
6.5%
1 24
 
4.9%
6 24
 
4.9%
7 18
 
3.7%

비고
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

데이터생성일자
Date

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
Minimum2023-04-24 00:00:00
Maximum2023-04-24 00:00:00
2023-12-12T20:06:42.803755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:06:42.956087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T20:06:34.676693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:06:30.994721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:06:31.774220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:06:33.091885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:06:33.943010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:06:34.848226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:06:31.172683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:06:31.945624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:06:33.275677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:06:34.106538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:06:35.012814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:06:31.322624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:06:32.110370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:06:33.470896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:06:34.264926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:06:35.150386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:06:31.470508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:06:32.253133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:06:33.626500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:06:34.412173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:06:35.268583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:06:31.606196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:06:32.396576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:06:33.781702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:06:34.535084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:06:43.084782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번학교명새주소주소행정동코드행정동법정동코드법정동X좌표Y좌표전화번호
순번1.0001.0001.0001.0000.2430.5850.0000.0990.2260.4181.000
학교명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
새주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
행정동코드0.2431.0001.0001.0001.0001.0000.9420.9190.4880.5191.000
행정동0.5851.0001.0001.0001.0001.0000.9520.9860.9000.9511.000
법정동코드0.0001.0001.0001.0000.9420.9521.0001.0000.7860.7601.000
법정동0.0991.0001.0001.0000.9190.9861.0001.0000.9180.8821.000
X좌표0.2261.0001.0001.0000.4880.9000.7860.9181.0000.6361.000
Y좌표0.4181.0001.0001.0000.5190.9510.7600.8820.6361.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-12T20:06:43.317885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번행정동코드법정동코드X좌표Y좌표법정동
순번1.000-0.197-0.2430.2720.1760.000
행정동코드-0.1971.0000.674-0.0430.2000.637
법정동코드-0.2430.6741.000-0.592-0.2030.848
X좌표0.272-0.043-0.5921.0000.6570.579
Y좌표0.1760.200-0.2030.6571.0000.532
법정동0.0000.6370.8480.5790.5321.000

Missing values

2023-12-12T20:06:35.480859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:06:35.760844image/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

순번학교명새주소주소행정동코드행정동법정동코드법정동X좌표Y좌표전화번호비고데이터생성일자
041가수원초등학교서구 벌곡로1359(가수원동)대전광역시 서구 가수원동 4713017059000가수원동3017011400가수원동127.35361836.302674042-541-1334<NA>2023-04-24
142기성초등학교서구 기성초교길42(매노동)대전광역시 서구 매노동 1633017060000기성동3017011800매노동127.33808236.249109042-585-4611<NA>2023-04-24
243기성초등학교 길헌분교장서구 당고개길48(평촌동)대전광역시 서구 평촌동 2973017060000기성동3017012100평촌동127.31631736.241497042-583-8084<NA>2023-04-24
344대전가장초등학교서구 가장로 150(가장동)대전광역시 서구 가장동 25-13017057000가장동3017010900가장동127.38849636.330616042-527-7602<NA>2023-04-24
445대전갈마초등학교서구 월평동로2(갈마동)대전광역시 서구 갈마동 114-263017058100갈마1동3017011100갈마동127.36937536.356409042-486-0906<NA>2023-04-24
546대전갑천초등학교서구 월평동로61(월평동)대전광역시 서구 월평동 3083017058800월평3동3017011300월평동127.36769336.360519042-488-3323<NA>2023-04-24
647대전관저초등학교서구 관저동로161(관저동)대전광역시 서구 관저동 9923017059600관저1동3017011600관저동127.33988136.306357042-545-2673<NA>2023-04-24
748대전구봉초등학교서구 관저로75(관저동)대전광역시 서구 관저동 11333017059700관저2동3017011600관저동127.32996236.299515042-542-0192<NA>2023-04-24
849대전금동초등학교서구 관저로45(관저동)대전광역시 서구 관저동 11413017059700관저2동3017011600관저동127.32627836.298161042-542-3331<NA>2023-04-24
950대전내동초등학교서구 동서대로1063번길13(내동)대전광역시 서구 내동 13-13017057500내동3017011000내동127.37901536.330846042-535-8791<NA>2023-04-24
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