Overview

Dataset statistics

Number of variables7
Number of observations356
Missing cells396
Missing cells (%)15.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.3 KiB
Average record size in memory58.4 B

Variable types

Numeric1
Categorical1
Text4
Unsupported1

Dataset

Description2017년 5월 서울특별시남부교육지원청 관내(구로구,금천구,영등포구) 평생교육시설 정보(명칭,주소,전화번호 등) 제공
Author서울특별시교육청 서울특별시남부교육지원청
URLhttps://www.data.go.kr/data/15053613/fileData.do

Alerts

연번 is highly overall correlated with 시설구분High correlation
시설구분 is highly overall correlated with 연번High correlation
시설전화번호 has 40 (11.2%) missing valuesMissing
비고 has 356 (100.0%) missing valuesMissing
연번 has unique valuesUnique
비고 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 13:07:46.940795
Analysis finished2023-12-12 13:07:47.888775
Duration0.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct356
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean178.5
Minimum1
Maximum356
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-12T22:07:47.976623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile18.75
Q189.75
median178.5
Q3267.25
95-th percentile338.25
Maximum356
Range355
Interquartile range (IQR)177.5

Descriptive statistics

Standard deviation102.91258
Coefficient of variation (CV)0.57654109
Kurtosis-1.2
Mean178.5
Median Absolute Deviation (MAD)89
Skewness0
Sum63546
Variance10591
MonotonicityStrictly increasing
2023-12-12T22:07:48.444584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
225 1
 
0.3%
245 1
 
0.3%
244 1
 
0.3%
243 1
 
0.3%
242 1
 
0.3%
241 1
 
0.3%
240 1
 
0.3%
239 1
 
0.3%
238 1
 
0.3%
Other values (346) 346
97.2%
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 (%)
356 1
0.3%
355 1
0.3%
354 1
0.3%
353 1
0.3%
352 1
0.3%
351 1
0.3%
350 1
0.3%
349 1
0.3%
348 1
0.3%
347 1
0.3%

시설구분
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
원격교육형태
203 
지식.인력개발사업관련
63 
언론기관부설
61 
사업장부설
 
13
시민사회단체부설
 
13

Length

Max length11
Median length6
Mean length6.9044944
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
원격교육형태 203
57.0%
지식.인력개발사업관련 63
 
17.7%
언론기관부설 61
 
17.1%
사업장부설 13
 
3.7%
시민사회단체부설 13
 
3.7%
학교형태 3
 
0.8%

Length

2023-12-12T22:07:48.593126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:07:48.722428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원격교육형태 203
57.0%
지식.인력개발사업관련 63
 
17.7%
언론기관부설 61
 
17.1%
사업장부설 13
 
3.7%
시민사회단체부설 13
 
3.7%
학교형태 3
 
0.8%

시설명칭
Text

Distinct355
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-12T22:07:48.926305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20
Mean length11.853933
Min length2

Characters and Unicode

Total characters4220
Distinct characters367
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

Unique354 ?
Unique (%)99.4%

Sample

1st row롯데마트문화센터영등포점
2nd row롯데마트문화센터양평점
3rd row롯데문화센터구로점
4th row롯데백화점 문화센터 영등포점
5th row신세계아카데미영등포점
ValueCountFrequency (%)
평생교육원 38
 
8.4%
원격평생교육시설 15
 
3.3%
평생교육시설 15
 
3.3%
부설 6
 
1.3%
원격평생교육원 4
 
0.9%
한국경제티브이 2
 
0.4%
커리어아카데미 2
 
0.4%
한국능률교육평가원 1
 
0.2%
캠퍼스원투원원격평생교육시설 1
 
0.2%
한국인재양성교육원 1
 
0.2%
Other values (369) 369
81.3%
2023-12-12T22:07:49.286679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 346
 
8.2%
교 327
 
7.7%
육 319
 
7.6%
평 279
 
6.6%
생 275
 
6.5%
격 130
 
3.1%
설 128
 
3.0%
시 126
 
3.0%
99
 
2.3%
이 79
 
1.9%
Other values (357) 2112
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3998
94.7%
Space Separator 99
 
2.3%
Uppercase Letter 54
 
1.3%
Open Punctuation 26
 
0.6%
Close Punctuation 26
 
0.6%
Lowercase Letter 14
 
0.3%
Decimal Number 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 346
 
8.7%
교 327
 
8.2%
육 319
 
8.0%
평 279
 
7.0%
생 275
 
6.9%
격 130
 
3.3%
설 128
 
3.2%
시 126
 
3.2%
이 79
 
2.0%
한 70
 
1.8%
Other values (323) 1919
48.0%
Uppercase Letter
ValueCountFrequency (%)
K 8
14.8%
E 6
11.1%
A 5
9.3%
T 5
9.3%
C 5
9.3%
B 4
7.4%
M 4
7.4%
I 3
 
5.6%
P 3
 
5.6%
D 2
 
3.7%
Other values (8) 9
16.7%
Lowercase Letter
ValueCountFrequency (%)
t 2
14.3%
k 2
14.3%
h 2
14.3%
s 2
14.3%
a 1
7.1%
i 1
7.1%
n 1
7.1%
e 1
7.1%
d 1
7.1%
b 1
7.1%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
4 1
50.0%
Space Separator
ValueCountFrequency (%)
99
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3998
94.7%
Common 154
 
3.6%
Latin 68
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 346
 
8.7%
교 327
 
8.2%
육 319
 
8.0%
평 279
 
7.0%
생 275
 
6.9%
격 130
 
3.3%
설 128
 
3.2%
시 126
 
3.2%
이 79
 
2.0%
한 70
 
1.8%
Other values (323) 1919
48.0%
Latin
ValueCountFrequency (%)
K 8
 
11.8%
E 6
 
8.8%
A 5
 
7.4%
T 5
 
7.4%
C 5
 
7.4%
B 4
 
5.9%
M 4
 
5.9%
I 3
 
4.4%
P 3
 
4.4%
t 2
 
2.9%
Other values (18) 23
33.8%
Common
ValueCountFrequency (%)
99
64.3%
( 26
 
16.9%
) 26
 
16.9%
3 1
 
0.6%
& 1
 
0.6%
4 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3998
94.7%
ASCII 222
 
5.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 346
 
8.7%
교 327
 
8.2%
육 319
 
8.0%
평 279
 
7.0%
생 275
 
6.9%
격 130
 
3.3%
설 128
 
3.2%
시 126
 
3.2%
이 79
 
2.0%
한 70
 
1.8%
Other values (323) 1919
48.0%
ASCII
ValueCountFrequency (%)
99
44.6%
( 26
 
11.7%
) 26
 
11.7%
K 8
 
3.6%
E 6
 
2.7%
A 5
 
2.3%
T 5
 
2.3%
C 5
 
2.3%
B 4
 
1.8%
M 4
 
1.8%
Other values (24) 34
 
15.3%

설립자명
Text

Distinct324
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-12T22:07:49.523312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length7.8202247
Min length3

Characters and Unicode

Total characters2784
Distinct characters363
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique294 ?
Unique (%)82.6%

Sample

1st row롯데쇼핑(주)
2nd row롯데쇼핑㈜
3rd row롯데쇼핑(주)
4th row롯데역사(주)
5th row(주)신세계
ValueCountFrequency (%)
주식회사 13
 
3.4%
주)에이원앤 3
 
0.8%
주)조앤코리아 3
 
0.8%
사단법인 3
 
0.8%
주)블루스터디 2
 
0.5%
롯데쇼핑(주 2
 
0.5%
한국교육연구원(주 2
 
0.5%
롯데정보통신 2
 
0.5%
방난주 2
 
0.5%
주)새희망씨앗 2
 
0.5%
Other values (321) 343
91.0%
2023-12-12T22:07:49.894668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 206
 
7.4%
) 206
 
7.4%
주 199
 
7.1%
이 87
 
3.1%
한 73
 
2.6%
국 65
 
2.3%
사 64
 
2.3%
회 61
 
2.2%
스 55
 
2.0%
원 54
 
1.9%
Other values (353) 1714
61.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2295
82.4%
Open Punctuation 206
 
7.4%
Close Punctuation 206
 
7.4%
Other Symbol 33
 
1.2%
Space Separator 21
 
0.8%
Decimal Number 11
 
0.4%
Uppercase Letter 8
 
0.3%
Dash Punctuation 2
 
0.1%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 199
 
8.7%
이 87
 
3.8%
한 73
 
3.2%
국 65
 
2.8%
사 64
 
2.8%
회 61
 
2.7%
스 55
 
2.4%
원 54
 
2.4%
교 47
 
2.0%
에 44
 
1.9%
Other values (335) 1546
67.4%
Decimal Number
ValueCountFrequency (%)
0 3
27.3%
7 2
18.2%
2 2
18.2%
5 1
 
9.1%
8 1
 
9.1%
3 1
 
9.1%
6 1
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
K 3
37.5%
B 2
25.0%
C 1
 
12.5%
S 1
 
12.5%
T 1
 
12.5%
Open Punctuation
ValueCountFrequency (%)
( 206
100.0%
Close Punctuation
ValueCountFrequency (%)
) 206
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 33
100.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2328
83.6%
Common 448
 
16.1%
Latin 8
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 199
 
8.5%
이 87
 
3.7%
한 73
 
3.1%
국 65
 
2.8%
사 64
 
2.7%
회 61
 
2.6%
스 55
 
2.4%
원 54
 
2.3%
교 47
 
2.0%
에 44
 
1.9%
Other values (336) 1579
67.8%
Common
ValueCountFrequency (%)
( 206
46.0%
) 206
46.0%
21
 
4.7%
0 3
 
0.7%
7 2
 
0.4%
- 2
 
0.4%
2 2
 
0.4%
, 2
 
0.4%
5 1
 
0.2%
8 1
 
0.2%
Other values (2) 2
 
0.4%
Latin
ValueCountFrequency (%)
K 3
37.5%
B 2
25.0%
C 1
 
12.5%
S 1
 
12.5%
T 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2295
82.4%
ASCII 456
 
16.4%
None 33
 
1.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 206
45.2%
) 206
45.2%
21
 
4.6%
0 3
 
0.7%
K 3
 
0.7%
7 2
 
0.4%
- 2
 
0.4%
2 2
 
0.4%
, 2
 
0.4%
B 2
 
0.4%
Other values (7) 7
 
1.5%
Hangul
ValueCountFrequency (%)
주 199
 
8.7%
이 87
 
3.8%
한 73
 
3.2%
국 65
 
2.8%
사 64
 
2.8%
회 61
 
2.7%
스 55
 
2.4%
원 54
 
2.4%
교 47
 
2.0%
에 44
 
1.9%
Other values (335) 1546
67.4%
None
ValueCountFrequency (%)
㈜ 33
100.0%

주소
Text

Distinct344
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-12T22:07:50.228954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length55.5
Mean length42.33427
Min length17

Characters and Unicode

Total characters15071
Distinct characters297
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique333 ?
Unique (%)93.5%

Sample

1st row서울특별시 영등포구 영중로 125 롯데마트 2층 (영등포동8가)
2nd row서울특별시 영등포구 선유로 138, 4층 일부(양평동 3가)
3rd row서울특별시 구로구 경인로 482 롯데마트3층 (구로동)
4th row서울특별시 영등포구 경인로 846 , 영등포민자역사 에이동 3층 일부 (영등포동,영등포 민자역사)
5th row서울특별시 영등포구 영중로 9 B관 7층 일부 (영등포동4가)
ValueCountFrequency (%)
서울특별시 356
 
12.8%
206
 
7.4%
영등포구 162
 
5.8%
구로구 99
 
3.5%
금천구 95
 
3.4%
일부 91
 
3.3%
가산동 54
 
1.9%
구로동 41
 
1.5%
여의도동 32
 
1.1%
가산디지털1로 32
 
1.1%
Other values (872) 1624
58.2%
2023-12-12T22:07:50.710085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2537
 
16.8%
구 542
 
3.6%
로 537
 
3.6%
, 535
 
3.5%
1 512
 
3.4%
동 399
 
2.6%
2 395
 
2.6%
시 384
 
2.5%
서 370
 
2.5%
울 360
 
2.4%
Other values (287) 8500
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8679
57.6%
Space Separator 2537
 
16.8%
Decimal Number 2416
 
16.0%
Other Punctuation 537
 
3.6%
Open Punctuation 357
 
2.4%
Close Punctuation 355
 
2.4%
Uppercase Letter 101
 
0.7%
Dash Punctuation 56
 
0.4%
Lowercase Letter 17
 
0.1%
Math Symbol 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 542
 
6.2%
로 537
 
6.2%
동 399
 
4.6%
시 384
 
4.4%
서 370
 
4.3%
울 360
 
4.1%
별 356
 
4.1%
특 356
 
4.1%
가 243
 
2.8%
호 226
 
2.6%
Other values (240) 4906
56.5%
Uppercase Letter
ValueCountFrequency (%)
B 18
17.8%
A 15
14.9%
I 13
12.9%
T 10
9.9%
C 8
7.9%
V 6
 
5.9%
S 5
 
5.0%
Y 4
 
4.0%
K 3
 
3.0%
R 3
 
3.0%
Other values (9) 16
15.8%
Decimal Number
ValueCountFrequency (%)
1 512
21.2%
2 395
16.3%
3 305
12.6%
0 300
12.4%
4 181
 
7.5%
6 166
 
6.9%
5 152
 
6.3%
7 148
 
6.1%
8 144
 
6.0%
9 113
 
4.7%
Lowercase Letter
ValueCountFrequency (%)
e 4
23.5%
n 3
17.6%
c 3
17.6%
r 2
11.8%
t 2
11.8%
g 1
 
5.9%
z 1
 
5.9%
i 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 535
99.6%
. 1
 
0.2%
/ 1
 
0.2%
Letter Number
ValueCountFrequency (%)
Ⅰ 2
50.0%
Ⅲ 2
50.0%
Space Separator
ValueCountFrequency (%)
2537
100.0%
Open Punctuation
ValueCountFrequency (%)
( 357
100.0%
Close Punctuation
ValueCountFrequency (%)
) 355
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8679
57.6%
Common 6270
41.6%
Latin 122
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 542
 
6.2%
로 537
 
6.2%
동 399
 
4.6%
시 384
 
4.4%
서 370
 
4.3%
울 360
 
4.1%
별 356
 
4.1%
특 356
 
4.1%
가 243
 
2.8%
호 226
 
2.6%
Other values (240) 4906
56.5%
Latin
ValueCountFrequency (%)
B 18
14.8%
A 15
12.3%
I 13
 
10.7%
T 10
 
8.2%
C 8
 
6.6%
V 6
 
4.9%
S 5
 
4.1%
e 4
 
3.3%
Y 4
 
3.3%
n 3
 
2.5%
Other values (19) 36
29.5%
Common
ValueCountFrequency (%)
2537
40.5%
, 535
 
8.5%
1 512
 
8.2%
2 395
 
6.3%
( 357
 
5.7%
) 355
 
5.7%
3 305
 
4.9%
0 300
 
4.8%
4 181
 
2.9%
6 166
 
2.6%
Other values (8) 627
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8679
57.6%
ASCII 6388
42.4%
Number Forms 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2537
39.7%
, 535
 
8.4%
1 512
 
8.0%
2 395
 
6.2%
( 357
 
5.6%
) 355
 
5.6%
3 305
 
4.8%
0 300
 
4.7%
4 181
 
2.8%
6 166
 
2.6%
Other values (35) 745
 
11.7%
Hangul
ValueCountFrequency (%)
구 542
 
6.2%
로 537
 
6.2%
동 399
 
4.6%
시 384
 
4.4%
서 370
 
4.3%
울 360
 
4.1%
별 356
 
4.1%
특 356
 
4.1%
가 243
 
2.8%
호 226
 
2.6%
Other values (240) 4906
56.5%
Number Forms
ValueCountFrequency (%)
Ⅰ 2
50.0%
Ⅲ 2
50.0%

시설전화번호
Text

MISSING 

Distinct296
Distinct (%)93.7%
Missing40
Missing (%)11.2%
Memory size2.9 KiB
2023-12-12T22:07:51.008689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.689873
Min length11

Characters and Unicode

Total characters3694
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

Unique277 ?
Unique (%)87.7%

Sample

1st row02-2165-2590
2nd row02-771-2500
3rd row02-2639-2570
4th row02-2670-8570
5th row02-2639-1500
ValueCountFrequency (%)
02-6943-9111 3
 
0.9%
02-3156-7812 2
 
0.6%
02-844-7035 2
 
0.6%
02-2676-4582 2
 
0.6%
02-6419-7711 2
 
0.6%
02-6276-2626 2
 
0.6%
02-733-9950 2
 
0.6%
02-849-7747 2
 
0.6%
02-833-8779 2
 
0.6%
02-2677-4114 2
 
0.6%
Other values (286) 295
93.4%
2023-12-12T22:07:51.468332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 652
17.7%
- 632
17.1%
2 572
15.5%
6 276
7.5%
7 269
7.3%
1 256
 
6.9%
8 250
 
6.8%
3 228
 
6.2%
5 209
 
5.7%
4 178
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3062
82.9%
Dash Punctuation 632
 
17.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 652
21.3%
2 572
18.7%
6 276
9.0%
7 269
8.8%
1 256
 
8.4%
8 250
 
8.2%
3 228
 
7.4%
5 209
 
6.8%
4 178
 
5.8%
9 172
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 632
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3694
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 652
17.7%
- 632
17.1%
2 572
15.5%
6 276
7.5%
7 269
7.3%
1 256
 
6.9%
8 250
 
6.8%
3 228
 
6.2%
5 209
 
5.7%
4 178
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3694
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 652
17.7%
- 632
17.1%
2 572
15.5%
6 276
7.5%
7 269
7.3%
1 256
 
6.9%
8 250
 
6.8%
3 228
 
6.2%
5 209
 
5.7%
4 178
 
4.8%

비고
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing356
Missing (%)100.0%
Memory size3.3 KiB

Interactions

2023-12-12T22:07:47.563978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:07:51.587353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설구분
연번1.0000.858
시설구분0.8581.000
2023-12-12T22:07:51.705489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설구분
연번1.0000.675
시설구분0.6751.000

Missing values

2023-12-12T22:07:47.712339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:07:47.838328image/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

연번시설구분시설명칭설립자명주소시설전화번호비고
01사업장부설롯데마트문화센터영등포점롯데쇼핑(주)서울특별시 영등포구 영중로 125 롯데마트 2층 (영등포동8가)02-2165-2590<NA>
12사업장부설롯데마트문화센터양평점롯데쇼핑㈜서울특별시 영등포구 선유로 138, 4층 일부(양평동 3가)02-771-2500<NA>
23사업장부설롯데문화센터구로점롯데쇼핑(주)서울특별시 구로구 경인로 482 롯데마트3층 (구로동)02-2639-2570<NA>
34사업장부설롯데백화점 문화센터 영등포점롯데역사(주)서울특별시 영등포구 경인로 846 , 영등포민자역사 에이동 3층 일부 (영등포동,영등포 민자역사)02-2670-8570<NA>
45사업장부설신세계아카데미영등포점(주)신세계서울특별시 영등포구 영중로 9 B관 7층 일부 (영등포동4가)02-2639-1500<NA>
56사업장부설에이케이플라자 문화아카데미애경유지공업(주)서울특별시 구로구 구로중앙로 152 , 3층 일부 (구로동,애경백화점)02-818-1000<NA>
67사업장부설이마트신도림점문화센터(주)이마트 이갑수서울특별시 구로구 새말로 97, 지하2층 일부 (구로동, 신도림테크노마트)02-6715-1250<NA>
78사업장부설이천일아울렛문화센터구로점평생교육시설(주)이랜드리테일서울특별시 구로구 중앙로1길 36 일이삼전자타운3동 6층 (고척동)02-323-0456<NA>
89사업장부설한국아이비엠평생교육원한국아이비엠(주)서울특별시 영등포구 국제금융로 10 , 서울국제금융센터 쓰리아이에프씨동 11층 일부 (여의도동, 서울 국제금융 센터)02-3781-5005<NA>
910사업장부설홈플러스문화센터금천점홈플러스(주)서울특별시 금천구 시흥대로 391 홈플러스 금천점 4층 일부 (독산동)02-890-8003<NA>
연번시설구분시설명칭설립자명주소시설전화번호비고
346347지식.인력개발사업관련한국소프트웨어기술훈련원(사)한국소프트웨어기술진흥협회서울특별시 금천구 가산디지털1로 151 , 이노플렉스1차 205~207호 (가산동,이노플렉스-Ⅰ)070-7090-4890<NA>
347348지식.인력개발사업관련한국스토리지교육원우리도서관재단서울특별시 구로구 디지털로33길 27 , 삼성IT밸리 212호 (구로동)070-7856-1919<NA>
348349지식.인력개발사업관련한국품질재단평생교육시설(재)한국품질재단서울특별시 금천구 가산디지털1로 168 , 13층 일부 (가산동, 우림라이온스밸리B동)02-2025-9090<NA>
349350지식.인력개발사업관련현대백화점문화센터(주)현대백화점서울특별시 구로구 경인로 662 , 9층 (신도림동, 디큐브시티)02-2633-4560<NA>
350351지식.인력개발사업관련효산지식인력개발원효산경영연구소(주)서울특별시 영등포구 63로 36 리버타워 502호 (여의도동)02-564-9970<NA>
351352지식.인력개발사업관련후이즈교육센타(주)후이즈서울특별시 구로구 디지털로34길 43 코오롱싸이언스밸리 1차 202호 (구로동)070-7017-8209<NA>
352353지식.인력개발사업관련흑자경영연구소(주)흑자경영서울특별시 영등포구 국제금융로6길 30 , 1001-A호 (여의도동, 백상빌딩)02-2263-2501<NA>
353354학교형태장애인아카데미비영리사단법인 장애인아카데미서울특별시 영등포구 영등포로 143 , 401호, 402-1호 (당산동1가, 에이블허브)070-4293-7817<NA>
354355학교형태학교형태평생교육시설 서현학교김두성서울특별시 영등포구 도신로53길 18, 부속건물 2~4층 (신길동)02-844-7035<NA>
355356학교형태서현초등학교김두성서울특별시 영등포구 도신로53길 18 (신길동)02-844-7035<NA>