Overview

Dataset statistics

Number of variables6
Number of observations341
Missing cells87
Missing cells (%)4.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.4 KiB
Average record size in memory49.4 B

Variable types

Numeric1
Categorical1
Text3
DateTime1

Dataset

Description인천광역시 남동구 평생교육기관현황에 대한 파일데이터로 기관분류, 기관명, 전화번호 항목을 csv 형식으로 제공합니다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=3077554&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 기관유형High correlation
기관유형 is highly overall correlated with 연번High correlation
전화번호 has 85 (24.9%) missing valuesMissing

Reproduction

Analysis started2024-04-20 18:50:13.811899
Analysis finished2024-04-20 18:50:15.393258
Duration1.58 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION 

Distinct340
Distinct (%)100.0%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean171.22647
Minimum1
Maximum341
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-21T03:50:15.453315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17.95
Q185.75
median171.5
Q3256.25
95-th percentile324.05
Maximum341
Range340
Interquartile range (IQR)170.5

Descriptive statistics

Standard deviation98.638872
Coefficient of variation (CV)0.57607256
Kurtosis-1.1998795
Mean171.22647
Median Absolute Deviation (MAD)85.5
Skewness-0.0055171083
Sum58217
Variance9729.627
MonotonicityStrictly increasing
2024-04-21T03:50:15.565285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
227 1
 
0.3%
235 1
 
0.3%
234 1
 
0.3%
233 1
 
0.3%
232 1
 
0.3%
231 1
 
0.3%
230 1
 
0.3%
229 1
 
0.3%
228 1
 
0.3%
Other values (330) 330
96.8%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
341 1
0.3%
340 1
0.3%
339 1
0.3%
338 1
0.3%
337 1
0.3%
336 1
0.3%
335 1
0.3%
334 1
0.3%
333 1
0.3%
332 1
0.3%

기관유형
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
학교
82 
도서관
79 
평생직업교육학원
72 
언론기관부설
22 
주민자치
20 
Other values (17)
66 

Length

Max length12
Median length11
Mean length4.4809384
Min length2

Unique

Unique4 ?
Unique (%)1.2%

Sample

1st row광역
2nd row광역
3rd row교육청
4th row평생학습도시
5th row시도평생교육진흥원

Common Values

ValueCountFrequency (%)
학교 82
24.0%
도서관 79
23.2%
평생직업교육학원 72
21.1%
언론기관부설 22
 
6.5%
주민자치 20
 
5.9%
복지관 14
 
4.1%
기타 8
 
2.3%
박물관문화예술 7
 
2.1%
원격 7
 
2.1%
청소년 5
 
1.5%
Other values (12) 25
 
7.3%

Length

2024-04-21T03:50:15.692969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
학교 83
24.1%
도서관 79
22.9%
평생직업교육학원 72
20.9%
언론기관부설 22
 
6.4%
주민자치 20
 
5.8%
복지관 14
 
4.1%
기타 8
 
2.3%
박물관문화예술 7
 
2.0%
원격 7
 
2.0%
청소년 5
 
1.4%
Other values (13) 28
 
8.1%

기관명
Text

Distinct339
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-04-21T03:50:15.855492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length21
Mean length9.3548387
Min length4

Characters and Unicode

Total characters3190
Distinct characters365
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique337 ?
Unique (%)98.8%

Sample

1st row인천시청
2nd row인천광역시교육청
3rd row인천동부교육지원청
4th row남동구평생학습관(남동구청)
5th row인천인재평생교육진흥원
ValueCountFrequency (%)
평생교육원 18
 
4.5%
작은도서관 6
 
1.5%
도서관 3
 
0.7%
평생교육시설 3
 
0.7%
인천논현점 2
 
0.5%
모던필라테스 2
 
0.5%
구월점 2
 
0.5%
홈플러스문화센터 2
 
0.5%
구월동 2
 
0.5%
꿈 2
 
0.5%
Other values (359) 361
89.6%
2024-04-21T03:50:16.128428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 165
 
5.2%
교 133
 
4.2%
원 121
 
3.8%
인 115
 
3.6%
천 98
 
3.1%
관 95
 
3.0%
서 95
 
3.0%
도 85
 
2.7%
동 67
 
2.1%
62
 
1.9%
Other values (355) 2154
67.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3037
95.2%
Space Separator 62
 
1.9%
Decimal Number 37
 
1.2%
Uppercase Letter 28
 
0.9%
Lowercase Letter 12
 
0.4%
Open Punctuation 5
 
0.2%
Close Punctuation 5
 
0.2%
Other Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 165
 
5.4%
교 133
 
4.4%
원 121
 
4.0%
인 115
 
3.8%
천 98
 
3.2%
관 95
 
3.1%
서 95
 
3.1%
도 85
 
2.8%
동 67
 
2.2%
등 58
 
1.9%
Other values (320) 2005
66.0%
Uppercase Letter
ValueCountFrequency (%)
S 7
25.0%
T 3
10.7%
B 3
10.7%
H 2
 
7.1%
L 2
 
7.1%
C 2
 
7.1%
A 2
 
7.1%
E 2
 
7.1%
I 1
 
3.6%
P 1
 
3.6%
Other values (3) 3
10.7%
Lowercase Letter
ValueCountFrequency (%)
a 2
16.7%
n 2
16.7%
i 2
16.7%
m 1
8.3%
e 1
8.3%
o 1
8.3%
p 1
8.3%
t 1
8.3%
w 1
8.3%
Decimal Number
ValueCountFrequency (%)
1 10
27.0%
2 8
21.6%
3 7
18.9%
4 5
13.5%
5 5
13.5%
6 1
 
2.7%
9 1
 
2.7%
Other Punctuation
ValueCountFrequency (%)
? 2
50.0%
& 1
25.0%
: 1
25.0%
Space Separator
ValueCountFrequency (%)
62
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3037
95.2%
Common 113
 
3.5%
Latin 40
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 165
 
5.4%
교 133
 
4.4%
원 121
 
4.0%
인 115
 
3.8%
천 98
 
3.2%
관 95
 
3.1%
서 95
 
3.1%
도 85
 
2.8%
동 67
 
2.2%
등 58
 
1.9%
Other values (320) 2005
66.0%
Latin
ValueCountFrequency (%)
S 7
17.5%
T 3
 
7.5%
B 3
 
7.5%
a 2
 
5.0%
n 2
 
5.0%
i 2
 
5.0%
H 2
 
5.0%
L 2
 
5.0%
C 2
 
5.0%
A 2
 
5.0%
Other values (12) 13
32.5%
Common
ValueCountFrequency (%)
62
54.9%
1 10
 
8.8%
2 8
 
7.1%
3 7
 
6.2%
( 5
 
4.4%
4 5
 
4.4%
) 5
 
4.4%
5 5
 
4.4%
? 2
 
1.8%
6 1
 
0.9%
Other values (3) 3
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3037
95.2%
ASCII 153
 
4.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 165
 
5.4%
교 133
 
4.4%
원 121
 
4.0%
인 115
 
3.8%
천 98
 
3.2%
관 95
 
3.1%
서 95
 
3.1%
도 85
 
2.8%
동 67
 
2.2%
등 58
 
1.9%
Other values (320) 2005
66.0%
ASCII
ValueCountFrequency (%)
62
40.5%
1 10
 
6.5%
2 8
 
5.2%
S 7
 
4.6%
3 7
 
4.6%
( 5
 
3.3%
4 5
 
3.3%
) 5
 
3.3%
5 5
 
3.3%
T 3
 
2.0%
Other values (25) 36
23.5%

주소
Text

Distinct337
Distinct (%)99.1%
Missing1
Missing (%)0.3%
Memory size2.8 KiB
2024-04-21T03:50:16.343483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length36
Mean length22.464706
Min length5

Characters and Unicode

Total characters7638
Distinct characters235
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique334 ?
Unique (%)98.2%

Sample

1st row남동구 정각로 29 인천시청
2nd row남동구 정각로 9 교육청
3rd row인천 남동구 인주대로 923 동부교육지원청
4th row인천 남동구 소래로 645 남동구평생학습관 3층
5th row인천 남동구 인주대로 585 씨티은행빌딩 12층
ValueCountFrequency (%)
남동구 270
 
19.1%
68
 
4.8%
구월동 31
 
2.2%
인천 31
 
2.2%
2층 24
 
1.7%
3층 17
 
1.2%
남동대로 14
 
1.0%
만수동 13
 
0.9%
간석동 13
 
0.9%
논현동 13
 
0.9%
Other values (694) 916
65.0%
2024-04-21T03:50:16.679157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1080
 
14.1%
동 530
 
6.9%
구 381
 
5.0%
1 353
 
4.6%
로 335
 
4.4%
남 329
 
4.3%
2 279
 
3.7%
( 250
 
3.3%
) 250
 
3.3%
3 224
 
2.9%
Other values (225) 3627
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3856
50.5%
Decimal Number 1884
24.7%
Space Separator 1080
 
14.1%
Open Punctuation 250
 
3.3%
Close Punctuation 250
 
3.3%
Other Punctuation 199
 
2.6%
Dash Punctuation 98
 
1.3%
Uppercase Letter 16
 
0.2%
Math Symbol 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 530
 
13.7%
구 381
 
9.9%
로 335
 
8.7%
남 329
 
8.5%
길 123
 
3.2%
번 120
 
3.1%
층 100
 
2.6%
월 97
 
2.5%
호 87
 
2.3%
논 81
 
2.1%
Other values (199) 1673
43.4%
Decimal Number
ValueCountFrequency (%)
1 353
18.7%
2 279
14.8%
3 224
11.9%
0 197
10.5%
5 191
10.1%
4 156
8.3%
6 131
 
7.0%
7 131
 
7.0%
8 119
 
6.3%
9 103
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
L 3
18.8%
H 3
18.8%
J 2
12.5%
A 2
12.5%
K 1
 
6.2%
O 1
 
6.2%
D 1
 
6.2%
G 1
 
6.2%
M 1
 
6.2%
B 1
 
6.2%
Space Separator
ValueCountFrequency (%)
1080
100.0%
Open Punctuation
ValueCountFrequency (%)
( 250
100.0%
Close Punctuation
ValueCountFrequency (%)
) 250
100.0%
Other Punctuation
ValueCountFrequency (%)
, 199
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 98
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3856
50.5%
Common 3766
49.3%
Latin 16
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 530
 
13.7%
구 381
 
9.9%
로 335
 
8.7%
남 329
 
8.5%
길 123
 
3.2%
번 120
 
3.1%
층 100
 
2.6%
월 97
 
2.5%
호 87
 
2.3%
논 81
 
2.1%
Other values (199) 1673
43.4%
Common
ValueCountFrequency (%)
1080
28.7%
1 353
 
9.4%
2 279
 
7.4%
( 250
 
6.6%
) 250
 
6.6%
3 224
 
5.9%
, 199
 
5.3%
0 197
 
5.2%
5 191
 
5.1%
4 156
 
4.1%
Other values (6) 587
15.6%
Latin
ValueCountFrequency (%)
L 3
18.8%
H 3
18.8%
J 2
12.5%
A 2
12.5%
K 1
 
6.2%
O 1
 
6.2%
D 1
 
6.2%
G 1
 
6.2%
M 1
 
6.2%
B 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3856
50.5%
ASCII 3782
49.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1080
28.6%
1 353
 
9.3%
2 279
 
7.4%
( 250
 
6.6%
) 250
 
6.6%
3 224
 
5.9%
, 199
 
5.3%
0 197
 
5.2%
5 191
 
5.1%
4 156
 
4.1%
Other values (16) 603
15.9%
Hangul
ValueCountFrequency (%)
동 530
 
13.7%
구 381
 
9.9%
로 335
 
8.7%
남 329
 
8.5%
길 123
 
3.2%
번 120
 
3.1%
층 100
 
2.6%
월 97
 
2.5%
호 87
 
2.3%
논 81
 
2.1%
Other values (199) 1673
43.4%

전화번호
Text

MISSING 

Distinct250
Distinct (%)97.7%
Missing85
Missing (%)24.9%
Memory size2.8 KiB
2024-04-21T03:50:16.896344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length12.019531
Min length9

Characters and Unicode

Total characters3077
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

Unique244 ?
Unique (%)95.3%

Sample

1st row032-420-8433
2nd row032-460-6000
3rd row032-453-6050
4th row032-469-1251
5th row032-422-8048
ValueCountFrequency (%)
032-437-2500 2
 
0.8%
032-433-0733 2
 
0.8%
032-463-8161 2
 
0.8%
032-422-8048 2
 
0.8%
032-439-5001 2
 
0.8%
032-428-6039 2
 
0.8%
032-453-5280 1
 
0.4%
032-453-5380 1
 
0.4%
032-453-5580 1
 
0.4%
032-453-5540 1
 
0.4%
Other values (240) 240
93.8%
2024-04-21T03:50:17.203102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 511
16.6%
2 484
15.7%
0 452
14.7%
3 442
14.4%
4 344
11.2%
6 196
 
6.4%
5 160
 
5.2%
1 138
 
4.5%
7 133
 
4.3%
9 115
 
3.7%
Other values (3) 102
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2564
83.3%
Dash Punctuation 511
 
16.6%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 484
18.9%
0 452
17.6%
3 442
17.2%
4 344
13.4%
6 196
7.6%
5 160
 
6.2%
1 138
 
5.4%
7 133
 
5.2%
9 115
 
4.5%
8 100
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 511
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3077
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 511
16.6%
2 484
15.7%
0 452
14.7%
3 442
14.4%
4 344
11.2%
6 196
 
6.4%
5 160
 
5.2%
1 138
 
4.5%
7 133
 
4.3%
9 115
 
3.7%
Other values (3) 102
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3077
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 511
16.6%
2 484
15.7%
0 452
14.7%
3 442
14.4%
4 344
11.2%
6 196
 
6.4%
5 160
 
5.2%
1 138
 
4.5%
7 133
 
4.3%
9 115
 
3.7%
Other values (3) 102
 
3.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum2024-03-29 00:00:00
Maximum2024-03-29 00:00:00
2024-04-21T03:50:17.297618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:50:17.368115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-21T03:50:15.040162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T03:50:17.421827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기관유형
연번1.0000.930
기관유형0.9301.000
2024-04-21T03:50:17.483819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기관유형
연번1.0000.689
기관유형0.6891.000

Missing values

2024-04-21T03:50:15.191865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T03:50:15.274803image/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.
2024-04-21T03:50:15.353155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번기관유형기관명주소전화번호데이터기준일자
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332333복지관인천광역자활센터남동구 용천로 208032-437-40512024-03-29
333334기타남동구보건소남동구 소래로 633032-464-40012024-03-29
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336337기타인천남동구자원봉사센터남동구 소래로 645032-472-13652024-03-29
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