Overview

Dataset statistics

Number of variables7
Number of observations32
Missing cells16
Missing cells (%)7.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory62.1 B

Variable types

Numeric2
Text4
Categorical1

Dataset

Description인천광역시 중구 관내에 위치한 평생학습기관에 대한 데이터 입니다.파일명 인천광역시_중구_평생학습기관파일내용 기관명, 우편번호, 주소 등
Author인천광역시 중구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15089340&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
연락처 has 6 (18.8%) missing valuesMissing
홈페이지 has 10 (31.2%) missing valuesMissing
연번 has unique valuesUnique
기관명 has unique valuesUnique

Reproduction

Analysis started2024-03-18 02:54:37.706989
Analysis finished2024-03-18 02:54:40.547623
Duration2.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.5
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-03-18T11:54:40.610092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.55
Q18.75
median16.5
Q324.25
95-th percentile30.45
Maximum32
Range31
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation9.3808315
Coefficient of variation (CV)0.56853524
Kurtosis-1.2
Mean16.5
Median Absolute Deviation (MAD)8
Skewness0
Sum528
Variance88
MonotonicityStrictly increasing
2024-03-18T11:54:40.719946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 1
 
3.1%
18 1
 
3.1%
32 1
 
3.1%
31 1
 
3.1%
30 1
 
3.1%
29 1
 
3.1%
28 1
 
3.1%
27 1
 
3.1%
26 1
 
3.1%
25 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
1 1
3.1%
2 1
3.1%
3 1
3.1%
4 1
3.1%
5 1
3.1%
6 1
3.1%
7 1
3.1%
8 1
3.1%
9 1
3.1%
10 1
3.1%
ValueCountFrequency (%)
32 1
3.1%
31 1
3.1%
30 1
3.1%
29 1
3.1%
28 1
3.1%
27 1
3.1%
26 1
3.1%
25 1
3.1%
24 1
3.1%
23 1
3.1%

기관명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-03-18T11:54:40.891943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length9.40625
Min length5

Characters and Unicode

Total characters301
Distinct characters119
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

Unique32 ?
Unique (%)100.0%

Sample

1st rowperfect25평생교육원
2nd row국제유니버시티평생교육원
3rd row꿈벗도서관
4th row대한노인회 중구지회부설 노인대학
5th row롯데마트문화센터영종도점
ValueCountFrequency (%)
중구 4
 
9.8%
perfect25평생교육원 1
 
2.4%
중구국민체육센터 1
 
2.4%
재미난박물관 1
 
2.4%
조은평생교육원 1
 
2.4%
건강가정지원센터 1
 
2.4%
노인복지관 1
 
2.4%
다문화가족지원센터 1
 
2.4%
장애인종합복지관 1
 
2.4%
중구문화원 1
 
2.4%
Other values (28) 28
68.3%
2024-03-18T11:54:41.183319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 14
 
4.7%
인 12
 
4.0%
원 12
 
4.0%
교 10
 
3.3%
중 9
 
3.0%
9
 
3.0%
육 9
 
3.0%
구 8
 
2.7%
화 7
 
2.3%
천 7
 
2.3%
Other values (109) 204
67.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 281
93.4%
Space Separator 9
 
3.0%
Lowercase Letter 7
 
2.3%
Decimal Number 2
 
0.7%
Close Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 14
 
5.0%
인 12
 
4.3%
원 12
 
4.3%
교 10
 
3.6%
중 9
 
3.2%
육 9
 
3.2%
구 8
 
2.8%
화 7
 
2.5%
천 7
 
2.5%
문 7
 
2.5%
Other values (98) 186
66.2%
Lowercase Letter
ValueCountFrequency (%)
e 2
28.6%
p 1
14.3%
t 1
14.3%
c 1
14.3%
f 1
14.3%
r 1
14.3%
Decimal Number
ValueCountFrequency (%)
5 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 281
93.4%
Common 13
 
4.3%
Latin 7
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 14
 
5.0%
인 12
 
4.3%
원 12
 
4.3%
교 10
 
3.6%
중 9
 
3.2%
육 9
 
3.2%
구 8
 
2.8%
화 7
 
2.5%
천 7
 
2.5%
문 7
 
2.5%
Other values (98) 186
66.2%
Latin
ValueCountFrequency (%)
e 2
28.6%
p 1
14.3%
t 1
14.3%
c 1
14.3%
f 1
14.3%
r 1
14.3%
Common
ValueCountFrequency (%)
9
69.2%
5 1
 
7.7%
2 1
 
7.7%
) 1
 
7.7%
( 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 281
93.4%
ASCII 20
 
6.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 14
 
5.0%
인 12
 
4.3%
원 12
 
4.3%
교 10
 
3.6%
중 9
 
3.2%
육 9
 
3.2%
구 8
 
2.8%
화 7
 
2.5%
천 7
 
2.5%
문 7
 
2.5%
Other values (98) 186
66.2%
ASCII
ValueCountFrequency (%)
9
45.0%
e 2
 
10.0%
p 1
 
5.0%
5 1
 
5.0%
2 1
 
5.0%
t 1
 
5.0%
c 1
 
5.0%
f 1
 
5.0%
r 1
 
5.0%
) 1
 
5.0%

우편번호
Real number (ℝ)

Distinct19
Distinct (%)59.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22336.531
Minimum22304
Maximum22397
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-03-18T11:54:41.287297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22304
5-th percentile22306.75
Q122315
median22320.5
Q322367.25
95-th percentile22389.85
Maximum22397
Range93
Interquartile range (IQR)52.25

Descriptive statistics

Standard deviation29.689777
Coefficient of variation (CV)0.0013292027
Kurtosis-0.75357498
Mean22336.531
Median Absolute Deviation (MAD)10.5
Skewness0.88465866
Sum714769
Variance881.48286
MonotonicityNot monotonic
2024-03-18T11:54:41.380971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
22314 3
 
9.4%
22340 3
 
9.4%
22320 3
 
9.4%
22316 3
 
9.4%
22304 2
 
6.2%
22321 2
 
6.2%
22397 2
 
6.2%
22371 2
 
6.2%
22315 2
 
6.2%
22366 1
 
3.1%
Other values (9) 9
28.1%
ValueCountFrequency (%)
22304 2
6.2%
22309 1
 
3.1%
22311 1
 
3.1%
22314 3
9.4%
22315 2
6.2%
22316 3
9.4%
22318 1
 
3.1%
22320 3
9.4%
22321 2
6.2%
22324 1
 
3.1%
ValueCountFrequency (%)
22397 2
6.2%
22384 1
 
3.1%
22382 1
 
3.1%
22379 1
 
3.1%
22376 1
 
3.1%
22371 2
6.2%
22366 1
 
3.1%
22340 3
9.4%
22334 1
 
3.1%
22324 1
 
3.1%

주소
Text

Distinct29
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-03-18T11:54:41.599741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length36
Mean length27.40625
Min length16

Characters and Unicode

Total characters877
Distinct characters131
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

Unique26 ?
Unique (%)81.2%

Sample

1st row인천광역시 중구 영종대로 84 , 1011호 (운서동, 신공항파크빌)
2nd row인천광역시 중구 개항로 65 , 2층 전부.3층 일부 (경동, 림웨딩컨설팅,경동고시텔)
3rd row인천광역시 중구 홍예문로 32
4th row인천광역시 중구 제물량로80번길 3-24 중구노인복지회관
5th row인천광역시 중구 흰바위로 51 , 3층 (운서동,롯데마트 영종도점)
ValueCountFrequency (%)
인천광역시 32
 
17.5%
중구 32
 
17.5%
6
 
3.3%
3층 3
 
1.6%
축항대로296번길 3
 
1.6%
81 3
 
1.6%
영종대로 3
 
1.6%
자유공원로 2
 
1.1%
운서동 2
 
1.1%
제물량로80번길 2
 
1.1%
Other values (86) 95
51.9%
2024-03-18T11:54:42.015294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
151
 
17.2%
인 40
 
4.6%
천 39
 
4.4%
구 37
 
4.2%
중 36
 
4.1%
시 35
 
4.0%
역 34
 
3.9%
광 33
 
3.8%
로 32
 
3.6%
1 25
 
2.9%
Other values (121) 415
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 553
63.1%
Space Separator 151
 
17.2%
Decimal Number 134
 
15.3%
Other Punctuation 16
 
1.8%
Close Punctuation 6
 
0.7%
Open Punctuation 6
 
0.7%
Dash Punctuation 5
 
0.6%
Uppercase Letter 5
 
0.6%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 40
 
7.2%
천 39
 
7.1%
구 37
 
6.7%
중 36
 
6.5%
시 35
 
6.3%
역 34
 
6.1%
광 33
 
6.0%
로 32
 
5.8%
길 12
 
2.2%
번 12
 
2.2%
Other values (99) 243
43.9%
Decimal Number
ValueCountFrequency (%)
1 25
18.7%
2 20
14.9%
3 18
13.4%
4 16
11.9%
0 14
10.4%
8 13
9.7%
6 9
 
6.7%
5 8
 
6.0%
7 6
 
4.5%
9 5
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
T 1
20.0%
R 1
20.0%
A 1
20.0%
M 1
20.0%
E 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 15
93.8%
. 1
 
6.2%
Space Separator
ValueCountFrequency (%)
151
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 553
63.1%
Common 319
36.4%
Latin 5
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 40
 
7.2%
천 39
 
7.1%
구 37
 
6.7%
중 36
 
6.5%
시 35
 
6.3%
역 34
 
6.1%
광 33
 
6.0%
로 32
 
5.8%
길 12
 
2.2%
번 12
 
2.2%
Other values (99) 243
43.9%
Common
ValueCountFrequency (%)
151
47.3%
1 25
 
7.8%
2 20
 
6.3%
3 18
 
5.6%
4 16
 
5.0%
, 15
 
4.7%
0 14
 
4.4%
8 13
 
4.1%
6 9
 
2.8%
5 8
 
2.5%
Other values (7) 30
 
9.4%
Latin
ValueCountFrequency (%)
T 1
20.0%
R 1
20.0%
A 1
20.0%
M 1
20.0%
E 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 553
63.1%
ASCII 324
36.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
151
46.6%
1 25
 
7.7%
2 20
 
6.2%
3 18
 
5.6%
4 16
 
4.9%
, 15
 
4.6%
0 14
 
4.3%
8 13
 
4.0%
6 9
 
2.8%
5 8
 
2.5%
Other values (12) 35
 
10.8%
Hangul
ValueCountFrequency (%)
인 40
 
7.2%
천 39
 
7.1%
구 37
 
6.7%
중 36
 
6.5%
시 35
 
6.3%
역 34
 
6.1%
광 33
 
6.0%
로 32
 
5.8%
길 12
 
2.2%
번 12
 
2.2%
Other values (99) 243
43.9%

연락처
Text

MISSING 

Distinct26
Distinct (%)100.0%
Missing6
Missing (%)18.8%
Memory size388.0 B
2024-03-18T11:54:42.181964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters312
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 row032-764-6111
2nd row032-772-2579
3rd row032-745-3590
4th row032-765-0250
5th row032-766-0981
ValueCountFrequency (%)
032-764-6111 1
 
3.8%
032-772-2579 1
 
3.8%
032-440-4710 1
 
3.8%
032-766-3546 1
 
3.8%
032-456-2940 1
 
3.8%
032-451-1250 1
 
3.8%
032-772-7345 1
 
3.8%
032-761-2778 1
 
3.8%
032-763-8270 1
 
3.8%
032-880-2400 1
 
3.8%
Other values (16) 16
61.5%
2024-03-18T11:54:42.470255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 54
17.3%
- 52
16.7%
2 38
12.2%
3 37
11.9%
7 32
10.3%
4 22
7.1%
6 20
 
6.4%
1 15
 
4.8%
5 15
 
4.8%
8 15
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 260
83.3%
Dash Punctuation 52
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 54
20.8%
2 38
14.6%
3 37
14.2%
7 32
12.3%
4 22
8.5%
6 20
 
7.7%
1 15
 
5.8%
5 15
 
5.8%
8 15
 
5.8%
9 12
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 312
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 54
17.3%
- 52
16.7%
2 38
12.2%
3 37
11.9%
7 32
10.3%
4 22
7.1%
6 20
 
6.4%
1 15
 
4.8%
5 15
 
4.8%
8 15
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 312
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 54
17.3%
- 52
16.7%
2 38
12.2%
3 37
11.9%
7 32
10.3%
4 22
7.1%
6 20
 
6.4%
1 15
 
4.8%
5 15
 
4.8%
8 15
 
4.8%

홈페이지
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing10
Missing (%)31.2%
Memory size388.0 B
2024-03-18T11:54:42.662586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length78
Median length45
Mean length37.5
Min length21

Characters and Unicode

Total characters825
Distinct characters53
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st rowhttps://www.imla.kr/kb/index.do
2nd rowhttp://www.koreapeople.co.kr/Board/areaView?idx=75
3rd rowhttp://www.mchart.co.kr/
4th rowhttp://www.migael.net/
5th rowhttps://www.imla.kr/yj/index.do
ValueCountFrequency (%)
https://www.imla.kr/kb/index.do 1
 
4.5%
http://www.koreapeople.co.kr/board/areaview?idx=75 1
 
4.5%
http://www.inmuseum.or.kr/kor/museum/index.php?m_code=museum1542072568 1
 
4.5%
https://icehanc.co.kr 1
 
4.5%
http://www.insiseol.or.kr/institution_guidance/sky/index.asp 1
 
4.5%
https://www.icjg-woman.or.kr 1
 
4.5%
http://jg2778.cafe24.com 1
 
4.5%
https://sports.icjgss.or.kr 1
 
4.5%
http://www.jgwelfare.or.kr 1
 
4.5%
https://www.liveinkorea.kr/center/main/main.do?centerseq=48&portallangtype=kor 1
 
4.5%
Other values (12) 12
54.5%
2024-03-18T11:54:42.980392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 80
 
9.7%
. 64
 
7.8%
t 60
 
7.3%
w 51
 
6.2%
e 47
 
5.7%
r 41
 
5.0%
n 37
 
4.5%
i 37
 
4.5%
o 36
 
4.4%
p 32
 
3.9%
Other values (43) 340
41.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 593
71.9%
Other Punctuation 171
 
20.7%
Decimal Number 30
 
3.6%
Uppercase Letter 22
 
2.7%
Math Symbol 5
 
0.6%
Connector Punctuation 3
 
0.4%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 60
 
10.1%
w 51
 
8.6%
e 47
 
7.9%
r 41
 
6.9%
n 37
 
6.2%
i 37
 
6.2%
o 36
 
6.1%
p 32
 
5.4%
m 30
 
5.1%
a 30
 
5.1%
Other values (15) 192
32.4%
Uppercase Letter
ValueCountFrequency (%)
M 5
22.7%
U 4
18.2%
S 3
13.6%
E 2
 
9.1%
T 2
 
9.1%
L 1
 
4.5%
R 1
 
4.5%
O 1
 
4.5%
K 1
 
4.5%
B 1
 
4.5%
Decimal Number
ValueCountFrequency (%)
2 6
20.0%
8 5
16.7%
7 5
16.7%
4 4
13.3%
5 4
13.3%
1 2
 
6.7%
0 2
 
6.7%
9 1
 
3.3%
6 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
/ 80
46.8%
. 64
37.4%
: 22
 
12.9%
? 4
 
2.3%
& 1
 
0.6%
Math Symbol
ValueCountFrequency (%)
= 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 615
74.5%
Common 210
 
25.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 60
 
9.8%
w 51
 
8.3%
e 47
 
7.6%
r 41
 
6.7%
n 37
 
6.0%
i 37
 
6.0%
o 36
 
5.9%
p 32
 
5.2%
m 30
 
4.9%
a 30
 
4.9%
Other values (26) 214
34.8%
Common
ValueCountFrequency (%)
/ 80
38.1%
. 64
30.5%
: 22
 
10.5%
2 6
 
2.9%
8 5
 
2.4%
= 5
 
2.4%
7 5
 
2.4%
4 4
 
1.9%
5 4
 
1.9%
? 4
 
1.9%
Other values (7) 11
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 825
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 80
 
9.7%
. 64
 
7.8%
t 60
 
7.3%
w 51
 
6.2%
e 47
 
5.7%
r 41
 
5.0%
n 37
 
4.5%
i 37
 
4.5%
o 36
 
4.4%
p 32
 
3.9%
Other values (43) 340
41.2%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-07
32 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-12-07
2nd row2023-12-07
3rd row2023-12-07
4th row2023-12-07
5th row2023-12-07

Common Values

ValueCountFrequency (%)
2023-12-07 32
100.0%

Length

2024-03-18T11:54:43.086984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T11:54:43.162397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-07 32
100.0%

Interactions

2024-03-18T11:54:39.955972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T11:54:39.602053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T11:54:40.122728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T11:54:39.824563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T11:54:43.215128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기관명우편번호주소연락처홈페이지
연번1.0001.0000.5580.9271.0001.000
기관명1.0001.0001.0001.0001.0001.000
우편번호0.5581.0001.0001.0001.0001.000
주소0.9271.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.0001.000
홈페이지1.0001.0001.0001.0001.0001.000
2024-03-18T11:54:43.296851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번우편번호
연번1.0000.009
우편번호0.0091.000

Missing values

2024-03-18T11:54:40.289528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T11:54:40.411902image/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.
2024-03-18T11:54:40.502915image/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

연번기관명우편번호주소연락처홈페이지데이터기준일자
01perfect25평생교육원22371인천광역시 중구 영종대로 84 , 1011호 (운서동, 신공항파크빌)<NA><NA>2023-12-07
12국제유니버시티평생교육원22318인천광역시 중구 개항로 65 , 2층 전부.3층 일부 (경동, 림웨딩컨설팅,경동고시텔)<NA><NA>2023-12-07
23꿈벗도서관22315인천광역시 중구 홍예문로 32032-764-6111https://www.imla.kr/kb/index.do2023-12-07
34대한노인회 중구지회부설 노인대학22320인천광역시 중구 제물량로80번길 3-24 중구노인복지회관032-772-2579http://www.koreapeople.co.kr/Board/areaView?idx=752023-12-07
45롯데마트문화센터영종도점22371인천광역시 중구 흰바위로 51 , 3층 (운서동,롯데마트 영종도점)032-745-3590<NA>2023-12-07
56미추홀문화회관22309인천광역시 중구 참외전로 100032-765-0250http://www.mchart.co.kr/2023-12-07
67벧엘평생교육원22384인천광역시 중구 남북로 87 , 124 (남북동)<NA><NA>2023-12-07
78성 미가엘종합사회복지관22316인천광역시 중구 송학로 40 성미가엘 종합사회복지관032-766-0981http://www.migael.net/2023-12-07
89아시아나항공(주)정비훈련원22382인천광역시 중구 공항로 272 , 아시아나항공 제2격납고 4~5층 전부 (운서동, 인천공항)032-744-2954<NA>2023-12-07
910영종도서관22366인천광역시 중구 영종대로 85 영종도서관032-745-6000https://www.imla.kr/yj/index.do2023-12-07
연번기관명우편번호주소연락처홈페이지데이터기준일자
2223중구 장애인종합복지관22334인천광역시 중구 매소홀로 10032-880-2400http://www.jgwelfare.or.kr/2023-12-07
2324중구국민체육센터22340인천광역시 중구 축항대로296번길 81032-763-8270https://sports.icjgss.or.kr/2023-12-07
2425중구문화원22340인천광역시 중구 축항대로296번길 81 중구문화회관 1층032-761-2778http://jg2778.cafe24.com/2023-12-07
2526중구여성회관22340인천광역시 중구 축항대로296번길 81032-772-7345https://www.icjg-woman.or.kr/2023-12-07
2627컬처클럽동인천점22324인천광역시 중구 인중로 134 , 2층일부 (신생동,동인천 E-MART)032-451-1250<NA>2023-12-07
2728하늘문화센터22379인천광역시 중구 영종해안북로 1000-26032-456-2940http://www.insiseol.or.kr/institution_guidance/sky/index.asp2023-12-07
2829한국문화센터 동인천교육원22316인천광역시 중구 우현로67번길 1 4층032-766-3546https://icehanc.co.kr/2023-12-07
2930한국이민사박물관22304인천광역시 중구 월미로 329032-440-4710http://www.inmuseum.or.kr/kor/museum/index.php?m_code=MUSEUM15420725682023-12-07
3031헬스엔젤스필라테스평생교육원22397인천광역시 중구 하늘별빛로65번길 8-11, 403호 및 404호<NA><NA>2023-12-07
3132혜명단청박물관22314인천광역시 중구 신포로15번길 48032-868-5898https://cafe.daum.net/TraditionalMuseum2023-12-07