Overview

Dataset statistics

Number of variables9
Number of observations362
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.6 KiB
Average record size in memory75.4 B

Variable types

Numeric3
Text3
DateTime1
Categorical2

Dataset

Description서울특별시 금천구 의료기관 현황에 관한 데이터로 의료기관명, 주소, 위도, 경도, 전화번호, 데이터기준일자, 담당부서, 담당자 정보 등을 공개합니다.
URLhttps://www.data.go.kr/data/15116081/fileData.do

Alerts

데이터 기준일자 has constant value ""Constant
담당부서 has constant value ""Constant
담당자 has constant value ""Constant
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
연번 has unique valuesUnique
의료기관명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:22:17.776384
Analysis finished2023-12-12 02:22:19.659998
Duration1.88 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct362
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean181.5
Minimum1
Maximum362
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-12T11:22:19.763037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile19.05
Q191.25
median181.5
Q3271.75
95-th percentile343.95
Maximum362
Range361
Interquartile range (IQR)180.5

Descriptive statistics

Standard deviation104.64464
Coefficient of variation (CV)0.57655447
Kurtosis-1.2
Mean181.5
Median Absolute Deviation (MAD)90.5
Skewness0
Sum65703
Variance10950.5
MonotonicityStrictly increasing
2023-12-12T11:22:19.969800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
250 1
 
0.3%
248 1
 
0.3%
247 1
 
0.3%
246 1
 
0.3%
245 1
 
0.3%
244 1
 
0.3%
243 1
 
0.3%
242 1
 
0.3%
241 1
 
0.3%
Other values (352) 352
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 (%)
362 1
0.3%
361 1
0.3%
360 1
0.3%
359 1
0.3%
358 1
0.3%
357 1
0.3%
356 1
0.3%
355 1
0.3%
354 1
0.3%
353 1
0.3%

의료기관명
Text

UNIQUE 

Distinct362
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-12T11:22:20.329046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length7.6519337
Min length4

Characters and Unicode

Total characters2770
Distinct characters273
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

Unique362 ?
Unique (%)100.0%

Sample

1st row경희리솜한방병원
2nd row금천한방병원
3rd row파라솔요양병원
4th row서울바른세상병원
5th row성신고려요양병원
ValueCountFrequency (%)
산부인과의원 2
 
0.5%
경희리솜한방병원 1
 
0.3%
연세허브치과의원 1
 
0.3%
e-좋은치과의원 1
 
0.3%
연세덴트웰치과의원 1
 
0.3%
비앤이치과의원 1
 
0.3%
컬럼비아치과의원 1
 
0.3%
모아치과의원 1
 
0.3%
해맑은치과의원 1
 
0.3%
연세웃는치과의원 1
 
0.3%
Other values (361) 361
97.0%
2023-12-12T11:22:20.875871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 371
 
13.4%
원 368
 
13.3%
과 234
 
8.4%
치 108
 
3.9%
한 94
 
3.4%
세 52
 
1.9%
이 50
 
1.8%
연 47
 
1.7%
정 39
 
1.4%
인 39
 
1.4%
Other values (263) 1368
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2738
98.8%
Space Separator 10
 
0.4%
Close Punctuation 7
 
0.3%
Open Punctuation 7
 
0.3%
Decimal Number 3
 
0.1%
Lowercase Letter 2
 
0.1%
Dash Punctuation 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 371
 
13.6%
원 368
 
13.4%
과 234
 
8.5%
치 108
 
3.9%
한 94
 
3.4%
세 52
 
1.9%
이 50
 
1.8%
연 47
 
1.7%
정 39
 
1.4%
인 39
 
1.4%
Other values (253) 1336
48.8%
Decimal Number
ValueCountFrequency (%)
5 1
33.3%
6 1
33.3%
3 1
33.3%
Space Separator
ValueCountFrequency (%)
10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
W 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2738
98.8%
Common 29
 
1.0%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 371
 
13.6%
원 368
 
13.4%
과 234
 
8.5%
치 108
 
3.9%
한 94
 
3.4%
세 52
 
1.9%
이 50
 
1.8%
연 47
 
1.7%
정 39
 
1.4%
인 39
 
1.4%
Other values (253) 1336
48.8%
Common
ValueCountFrequency (%)
10
34.5%
) 7
24.1%
( 7
24.1%
- 1
 
3.4%
5 1
 
3.4%
. 1
 
3.4%
6 1
 
3.4%
3 1
 
3.4%
Latin
ValueCountFrequency (%)
e 2
66.7%
W 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2738
98.8%
ASCII 32
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 371
 
13.6%
원 368
 
13.4%
과 234
 
8.5%
치 108
 
3.9%
한 94
 
3.4%
세 52
 
1.9%
이 50
 
1.8%
연 47
 
1.7%
정 39
 
1.4%
인 39
 
1.4%
Other values (253) 1336
48.8%
ASCII
ValueCountFrequency (%)
10
31.2%
) 7
21.9%
( 7
21.9%
e 2
 
6.2%
- 1
 
3.1%
W 1
 
3.1%
5 1
 
3.1%
. 1
 
3.1%
6 1
 
3.1%
3 1
 
3.1%

주소
Text

Distinct354
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-12T11:22:21.262696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length47
Mean length33.933702
Min length18

Characters and Unicode

Total characters12284
Distinct characters203
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique347 ?
Unique (%)95.9%

Sample

1st row서울특별시 금천구 시흥대로79길 15, 리솜메디라이프 4~7층 (시흥동)
2nd row서울특별시 금천구 시흥대로73길 67, 4,6층 (시흥동)
3rd row서울특별시 금천구 시흥대로73길 67, 엠타워 7,8,9,14,지하2층 (시흥동)
4th row서울특별시 금천구 시흥대로 421 (독산동, 건국빌딩)
5th row서울특별시 금천구 범안로 1191 (독산동)
ValueCountFrequency (%)
서울특별시 362
 
15.2%
금천구 362
 
15.2%
시흥동 153
 
6.4%
독산동 128
 
5.4%
시흥대로 127
 
5.3%
2층 78
 
3.3%
가산동 77
 
3.2%
독산로 49
 
2.1%
금하로 41
 
1.7%
가산디지털1로 41
 
1.7%
Other values (476) 961
40.4%
2023-12-12T11:22:21.843279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2017
 
16.4%
시 673
 
5.5%
, 462
 
3.8%
2 432
 
3.5%
금 427
 
3.5%
1 412
 
3.4%
천 383
 
3.1%
동 377
 
3.1%
서 369
 
3.0%
울 364
 
3.0%
Other values (193) 6368
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6915
56.3%
Decimal Number 2067
 
16.8%
Space Separator 2017
 
16.4%
Other Punctuation 463
 
3.8%
Open Punctuation 360
 
2.9%
Close Punctuation 360
 
2.9%
Uppercase Letter 55
 
0.4%
Dash Punctuation 24
 
0.2%
Math Symbol 18
 
0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 673
 
9.7%
금 427
 
6.2%
천 383
 
5.5%
동 377
 
5.5%
서 369
 
5.3%
울 364
 
5.3%
특 362
 
5.2%
별 362
 
5.2%
구 362
 
5.2%
산 362
 
5.2%
Other values (157) 2874
41.6%
Uppercase Letter
ValueCountFrequency (%)
A 10
18.2%
T 9
16.4%
I 7
12.7%
C 5
9.1%
Y 5
9.1%
B 5
9.1%
H 4
 
7.3%
S 3
 
5.5%
G 2
 
3.6%
V 1
 
1.8%
Other values (4) 4
 
7.3%
Decimal Number
ValueCountFrequency (%)
2 432
20.9%
1 412
19.9%
3 251
12.1%
0 242
11.7%
4 182
8.8%
6 133
 
6.4%
9 115
 
5.6%
7 108
 
5.2%
8 97
 
4.7%
5 95
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
o 1
20.0%
w 1
20.0%
e 1
20.0%
r 1
20.0%
t 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 462
99.8%
. 1
 
0.2%
Space Separator
ValueCountFrequency (%)
2017
100.0%
Open Punctuation
ValueCountFrequency (%)
( 360
100.0%
Close Punctuation
ValueCountFrequency (%)
) 360
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Math Symbol
ValueCountFrequency (%)
~ 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6915
56.3%
Common 5309
43.2%
Latin 60
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 673
 
9.7%
금 427
 
6.2%
천 383
 
5.5%
동 377
 
5.5%
서 369
 
5.3%
울 364
 
5.3%
특 362
 
5.2%
별 362
 
5.2%
구 362
 
5.2%
산 362
 
5.2%
Other values (157) 2874
41.6%
Latin
ValueCountFrequency (%)
A 10
16.7%
T 9
15.0%
I 7
11.7%
C 5
8.3%
Y 5
8.3%
B 5
8.3%
H 4
 
6.7%
S 3
 
5.0%
G 2
 
3.3%
o 1
 
1.7%
Other values (9) 9
15.0%
Common
ValueCountFrequency (%)
2017
38.0%
, 462
 
8.7%
2 432
 
8.1%
1 412
 
7.8%
( 360
 
6.8%
) 360
 
6.8%
3 251
 
4.7%
0 242
 
4.6%
4 182
 
3.4%
6 133
 
2.5%
Other values (7) 458
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6915
56.3%
ASCII 5369
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2017
37.6%
, 462
 
8.6%
2 432
 
8.0%
1 412
 
7.7%
( 360
 
6.7%
) 360
 
6.7%
3 251
 
4.7%
0 242
 
4.5%
4 182
 
3.4%
6 133
 
2.5%
Other values (26) 518
 
9.6%
Hangul
ValueCountFrequency (%)
시 673
 
9.7%
금 427
 
6.2%
천 383
 
5.5%
동 377
 
5.5%
서 369
 
5.3%
울 364
 
5.3%
특 362
 
5.2%
별 362
 
5.2%
구 362
 
5.2%
산 362
 
5.2%
Other values (157) 2874
41.6%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct209
Distinct (%)57.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.464586
Minimum37.434617
Maximum37.484529
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-12T11:22:22.077216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.434617
5-th percentile37.450362
Q137.45397
median37.465192
Q337.475409
95-th percentile37.480762
Maximum37.484529
Range0.0499119
Interquartile range (IQR)0.02143845

Descriptive statistics

Standard deviation0.011285943
Coefficient of variation (CV)0.00030124295
Kurtosis-1.1906342
Mean37.464586
Median Absolute Deviation (MAD)0.0107508
Skewness-0.0087119682
Sum13562.18
Variance0.0001273725
MonotonicityNot monotonic
2023-12-12T11:22:22.277875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4693592 10
 
2.8%
37.4530528 9
 
2.5%
37.4599811 9
 
2.5%
37.4539296 8
 
2.2%
37.4799665 7
 
1.9%
37.4807624 7
 
1.9%
37.4819131 7
 
1.9%
37.4559426 6
 
1.7%
37.4698141 6
 
1.7%
37.4504709 6
 
1.7%
Other values (199) 287
79.3%
ValueCountFrequency (%)
37.4346173 1
0.3%
37.4346725 1
0.3%
37.4413535 1
0.3%
37.4421143 1
0.3%
37.4422775 1
0.3%
37.4433559 1
0.3%
37.4438361 1
0.3%
37.4476527 1
0.3%
37.4484928 1
0.3%
37.4487957 2
0.6%
ValueCountFrequency (%)
37.4845292 1
 
0.3%
37.4829569 1
 
0.3%
37.4819131 7
1.9%
37.4816671 1
 
0.3%
37.481425 1
 
0.3%
37.4814002 5
1.4%
37.4810217 1
 
0.3%
37.4807624 7
1.9%
37.4806043 1
 
0.3%
37.4805851 1
 
0.3%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct209
Distinct (%)57.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.89838
Minimum126.87704
Maximum126.91921
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-12T11:22:22.814823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.87704
5-th percentile126.88158
Q1126.89569
median126.90096
Q3126.90345
95-th percentile126.90947
Maximum126.91921
Range0.0421722
Interquartile range (IQR)0.007759325

Descriptive statistics

Standard deviation0.0085214188
Coefficient of variation (CV)6.7151515 × 10-5
Kurtosis-0.049796199
Mean126.89838
Median Absolute Deviation (MAD)0.00373065
Skewness-0.68653477
Sum45937.215
Variance7.2614578 × 10-5
MonotonicityNot monotonic
2023-12-12T11:22:22.993560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.8970019 10
 
2.8%
126.9016824 9
 
2.5%
126.8972935 9
 
2.5%
126.9013002 8
 
2.2%
126.8826362 7
 
1.9%
126.8806788 7
 
1.9%
126.8815811 7
 
1.9%
126.8957474 6
 
1.7%
126.8974927 6
 
1.7%
126.909473 6
 
1.7%
Other values (199) 287
79.3%
ValueCountFrequency (%)
126.8770398 2
 
0.6%
126.8789423 1
 
0.3%
126.8803936 1
 
0.3%
126.8806788 7
1.9%
126.8809806 1
 
0.3%
126.8810571 1
 
0.3%
126.8811416 2
 
0.6%
126.881291 1
 
0.3%
126.8815811 7
1.9%
126.8816063 1
 
0.3%
ValueCountFrequency (%)
126.919212 2
0.6%
126.9146175 4
1.1%
126.9143326 1
 
0.3%
126.9131458 1
 
0.3%
126.9128651 1
 
0.3%
126.9107872 1
 
0.3%
126.9107378 1
 
0.3%
126.9102376 1
 
0.3%
126.9101523 1
 
0.3%
126.9100495 1
 
0.3%

전화번호
Text

Distinct360
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-12T11:22:23.359617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length11.220994
Min length9

Characters and Unicode

Total characters4062
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

Unique358 ?
Unique (%)98.9%

Sample

1st row02-896-0010
2nd row02-6359-7554
3rd row02-6951-1245
4th row02-2111-9700
5th row02-805-6797
ValueCountFrequency (%)
02-893-2322 2
 
0.6%
02-857-1775 2
 
0.6%
02-851-2875 1
 
0.3%
02-2026-7699 1
 
0.3%
02-896-0010 1
 
0.3%
02-2104-0365 1
 
0.3%
02-803-2882 1
 
0.3%
02-3281-2008 1
 
0.3%
02-803-7777 1
 
0.3%
02-892-2275-6 1
 
0.3%
Other values (350) 350
96.7%
2023-12-12T11:22:23.908729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 725
17.8%
- 723
17.8%
2 660
16.2%
8 515
12.7%
5 353
8.7%
7 267
 
6.6%
6 200
 
4.9%
9 180
 
4.4%
3 170
 
4.2%
1 168
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3339
82.2%
Dash Punctuation 723
 
17.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 725
21.7%
2 660
19.8%
8 515
15.4%
5 353
10.6%
7 267
 
8.0%
6 200
 
6.0%
9 180
 
5.4%
3 170
 
5.1%
1 168
 
5.0%
4 101
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 723
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4062
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 725
17.8%
- 723
17.8%
2 660
16.2%
8 515
12.7%
5 353
8.7%
7 267
 
6.6%
6 200
 
4.9%
9 180
 
4.4%
3 170
 
4.2%
1 168
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4062
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 725
17.8%
- 723
17.8%
2 660
16.2%
8 515
12.7%
5 353
8.7%
7 267
 
6.6%
6 200
 
4.9%
9 180
 
4.4%
3 170
 
4.2%
1 168
 
4.1%

데이터 기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum2023-05-17 00:00:00
Maximum2023-05-17 00:00:00
2023-12-12T11:22:24.043048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:22:24.162792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
의약과
362 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의약과 362
100.0%

Length

2023-12-12T11:22:24.322435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:22:24.443050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의약과 362
100.0%

담당자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
이유선
362 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
이유선 362
100.0%

Length

2023-12-12T11:22:24.549696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:22:24.650309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
이유선 362
100.0%

Interactions

2023-12-12T11:22:19.025110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:22:18.240433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:22:18.639702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:22:19.145175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:22:18.373940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:22:18.771862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:22:19.256525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:22:18.509307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:22:18.901443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:22:24.723330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.3120.422
위도0.3121.0000.845
경도0.4220.8451.000
2023-12-12T11:22:24.842595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.000-0.0520.147
위도-0.0521.000-0.638
경도0.147-0.6381.000

Missing values

2023-12-12T11:22:19.409424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:22:19.591451image/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

연번의료기관명주소위도경도전화번호데이터 기준일자담당부서담당자
01경희리솜한방병원서울특별시 금천구 시흥대로79길 15, 리솜메디라이프 4~7층 (시흥동)37.458889126.89769102-896-00102023-05-17의약과이유선
12금천한방병원서울특별시 금천구 시흥대로73길 67, 4,6층 (시흥동)37.455943126.89574702-6359-75542023-05-17의약과이유선
23파라솔요양병원서울특별시 금천구 시흥대로73길 67, 엠타워 7,8,9,14,지하2층 (시흥동)37.455943126.89574702-6951-12452023-05-17의약과이유선
34서울바른세상병원서울특별시 금천구 시흥대로 421 (독산동, 건국빌딩)37.471264126.89779602-2111-97002023-05-17의약과이유선
45성신고려요양병원서울특별시 금천구 범안로 1191 (독산동)37.466751126.89407802-805-67972023-05-17의약과이유선
56금천수요양병원서울특별시 금천구 남부순환로 1400, 2~9층 (독산동)37.480029126.9064302-838-55582023-05-17의약과이유선
67서울대효병원서울특별시 금천구 시흥대로 230, 서평빌딩 5,6,7층 (시흥동)37.454428126.90120402-896-21142023-05-17의약과이유선
78녹십자요양병원서울특별시 금천구 시흥대로 202, 3,4층 (시흥동, 대의빌딩)37.451977126.9021321544-27082023-05-17의약과이유선
89새움병원서울특별시 금천구 시흥대로139길 8, 새움병원 (독산동)37.473053126.8976551577-70152023-05-17의약과이유선
910성지병원서울특별시 금천구 가산로 122 (가산동)37.476601126.89289402-867-70562023-05-17의약과이유선
연번의료기관명주소위도경도전화번호데이터 기준일자담당부서담당자
352353청목한의원서울특별시 금천구 독산로74길 6, 2층 (독산동)37.468672126.90265902-869-10752023-05-17의약과이유선
353354정훈한의원서울특별시 금천구 독산로64길 15 (독산동)37.465231126.90346402-896-85752023-05-17의약과이유선
354355내강한의원서울특별시 금천구 시흥대로105길 5, 유진빌딩 1층 (독산동)37.464976126.8969302-804-15882023-05-17의약과이유선
355356경희남도한의원서울특별시 금천구 금하로 633-1 (시흥동)37.454924126.90170102-808-45552023-05-17의약과이유선
356357명성한의원서울특별시 금천구 독산로47길 20 (독산동)37.462246126.90309302-803-29992023-05-17의약과이유선
357358진성한의원서울특별시 금천구 시흥대로 198 (시흥동)37.45162126.90217302-802-76892023-05-17의약과이유선
358359다소담 한의원서울특별시 금천구 시흥대로 90, 2층 (시흥동, 정송빌딩)37.442114126.90395602-808-55772023-05-17의약과이유선
359360삼대한의원서울특별시 금천구 시흥대로138길 33, 2층 (독산동)37.472755126.90054402-854-75752023-05-17의약과이유선
360361동서한의원서울특별시 금천구 독산로 140 (시흥동)37.459819126.9051302-804-42142023-05-17의약과이유선
361362영생한의원서울특별시 금천구 가산로 90, 1층 (독산동)37.474218126.89457902-853-01522023-05-17의약과이유선