Overview

Dataset statistics

Number of variables19
Number of observations6642
Missing cells15640
Missing cells (%)12.4%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory1.0 MiB
Average record size in memory159.0 B

Variable types

Text4
Categorical8
Numeric4
Boolean1
DateTime2

Dataset

Description의료시설명,서비스분류코드,서비스분류,자치구코드,자치구명,연령구분코드,연령구분,시설분류코드,시설분류,X좌표값,Y좌표값,우편번호,기본주소,상세주소,사용료무료여부,사용료,안내URL,등록일시,수정일시
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-20973/S/1/datasetView.do

Alerts

서비스분류코드 has constant value ""Constant
서비스분류 has constant value ""Constant
시설분류코드 has constant value ""Constant
시설분류 has constant value ""Constant
Dataset has 1 (< 0.1%) duplicate rowsDuplicates
연령구분코드 is highly overall correlated with 연령구분High correlation
사용료 is highly overall correlated with 사용료무료여부High correlation
연령구분 is highly overall correlated with 연령구분코드High correlation
사용료무료여부 is highly overall correlated with 사용료High correlation
자치구코드 is highly overall correlated with Y좌표값 and 2 other fieldsHigh correlation
X좌표값 is highly overall correlated with 우편번호 and 1 other fieldsHigh correlation
Y좌표값 is highly overall correlated with 자치구코드 and 1 other fieldsHigh correlation
우편번호 is highly overall correlated with 자치구코드 and 3 other fieldsHigh correlation
자치구명 is highly overall correlated with 자치구코드 and 2 other fieldsHigh correlation
연령구분코드 is highly imbalanced (82.8%)Imbalance
연령구분 is highly imbalanced (82.8%)Imbalance
사용료 is highly imbalanced (71.8%)Imbalance
우편번호 has 3180 (47.9%) missing valuesMissing
상세주소 has 2023 (30.5%) missing valuesMissing
안내URL has 5516 (83.0%) missing valuesMissing
수정일시 has 4821 (72.6%) missing valuesMissing

Reproduction

Analysis started2024-05-11 09:59:28.082520
Analysis finished2024-05-11 09:59:37.336241
Duration9.25 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의료시설명
Text

Distinct6107
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size52.0 KiB
2024-05-11T09:59:37.664819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length38
Mean length8.0043662
Min length2

Characters and Unicode

Total characters53165
Distinct characters679
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5707 ?
Unique (%)85.9%

Sample

1st row한피부과의원
2nd row아비쥬의원 명동
3rd row홍제튼튼약국(휴일지킴이 약국)
4th row우리마을홍제약국(휴일지킴이 약국)
5th row한신약국(휴일지킴이 약국)
ValueCountFrequency (%)
의원 118
 
1.4%
한의원 110
 
1.3%
약국 106
 
1.2%
치과 101
 
1.2%
치과의원 74
 
0.9%
소아청소년과 47
 
0.5%
소아청소년과의원 40
 
0.5%
휴일지킴이약국 39
 
0.4%
기관 35
 
0.4%
건강검진 34
 
0.4%
Other values (6311) 7991
91.9%
2024-05-11T09:59:38.618350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 3644
 
6.9%
과 3585
 
6.7%
의 3569
 
6.7%
2278
 
4.3%
치 1686
 
3.2%
국 1549
 
2.9%
소 1545
 
2.9%
약 1525
 
2.9%
아 1257
 
2.4%
이 1039
 
2.0%
Other values (669) 31488
59.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 49016
92.2%
Space Separator 2278
 
4.3%
Close Punctuation 440
 
0.8%
Open Punctuation 438
 
0.8%
Other Punctuation 358
 
0.7%
Decimal Number 294
 
0.6%
Uppercase Letter 202
 
0.4%
Lowercase Letter 80
 
0.2%
Dash Punctuation 41
 
0.1%
Math Symbol 10
 
< 0.1%
Other values (2) 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 3644
 
7.4%
과 3585
 
7.3%
의 3569
 
7.3%
치 1686
 
3.4%
국 1549
 
3.2%
소 1545
 
3.2%
약 1525
 
3.1%
아 1257
 
2.6%
이 1039
 
2.1%
한 875
 
1.8%
Other values (597) 28742
58.6%
Uppercase Letter
ValueCountFrequency (%)
A 23
11.4%
C 21
10.4%
S 21
10.4%
D 16
 
7.9%
M 15
 
7.4%
J 12
 
5.9%
E 11
 
5.4%
K 11
 
5.4%
B 10
 
5.0%
G 10
 
5.0%
Other values (12) 52
25.7%
Lowercase Letter
ValueCountFrequency (%)
e 24
30.0%
s 11
13.8%
r 7
 
8.8%
n 6
 
7.5%
i 6
 
7.5%
c 4
 
5.0%
t 4
 
5.0%
m 3
 
3.8%
u 2
 
2.5%
a 2
 
2.5%
Other values (9) 11
13.8%
Decimal Number
ValueCountFrequency (%)
3 63
21.4%
5 59
20.1%
6 57
19.4%
1 43
14.6%
2 32
10.9%
0 12
 
4.1%
4 11
 
3.7%
8 8
 
2.7%
9 6
 
2.0%
7 3
 
1.0%
Other Punctuation
ValueCountFrequency (%)
. 275
76.8%
/ 35
 
9.8%
, 23
 
6.4%
& 16
 
4.5%
! 3
 
0.8%
* 2
 
0.6%
? 2
 
0.6%
？ 1
 
0.3%
: 1
 
0.3%
Math Symbol
ValueCountFrequency (%)
> 6
60.0%
~ 2
 
20.0%
+ 1
 
10.0%
< 1
 
10.0%
Close Punctuation
ValueCountFrequency (%)
) 303
68.9%
] 137
31.1%
Open Punctuation
ValueCountFrequency (%)
( 301
68.7%
[ 137
31.3%
Space Separator
ValueCountFrequency (%)
2278
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Control
ValueCountFrequency (%)
6
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 49011
92.2%
Common 3867
 
7.3%
Latin 282
 
0.5%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 3644
 
7.4%
과 3585
 
7.3%
의 3569
 
7.3%
치 1686
 
3.4%
국 1549
 
3.2%
소 1545
 
3.2%
약 1525
 
3.1%
아 1257
 
2.6%
이 1039
 
2.1%
한 875
 
1.8%
Other values (592) 28737
58.6%
Latin
ValueCountFrequency (%)
e 24
 
8.5%
A 23
 
8.2%
C 21
 
7.4%
S 21
 
7.4%
D 16
 
5.7%
M 15
 
5.3%
J 12
 
4.3%
E 11
 
3.9%
s 11
 
3.9%
K 11
 
3.9%
Other values (31) 117
41.5%
Common
ValueCountFrequency (%)
2278
58.9%
) 303
 
7.8%
( 301
 
7.8%
. 275
 
7.1%
[ 137
 
3.5%
] 137
 
3.5%
3 63
 
1.6%
5 59
 
1.5%
6 57
 
1.5%
1 43
 
1.1%
Other values (21) 214
 
5.5%
Han
ValueCountFrequency (%)
感 1
20.0%
知 1
20.0%
秀 1
20.0%
美 1
20.0%
安 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 49009
92.2%
ASCII 4148
 
7.8%
CJK 5
 
< 0.1%
Compat Jamo 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 3644
 
7.4%
과 3585
 
7.3%
의 3569
 
7.3%
치 1686
 
3.4%
국 1549
 
3.2%
소 1545
 
3.2%
약 1525
 
3.1%
아 1257
 
2.6%
이 1039
 
2.1%
한 875
 
1.8%
Other values (590) 28735
58.6%
ASCII
ValueCountFrequency (%)
2278
54.9%
) 303
 
7.3%
( 301
 
7.3%
. 275
 
6.6%
[ 137
 
3.3%
] 137
 
3.3%
3 63
 
1.5%
5 59
 
1.4%
6 57
 
1.4%
1 43
 
1.0%
Other values (61) 495
 
11.9%
CJK
ValueCountFrequency (%)
感 1
20.0%
知 1
20.0%
秀 1
20.0%
美 1
20.0%
安 1
20.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
50.0%
ㄴ 1
50.0%
None
ValueCountFrequency (%)
？ 1
100.0%

서비스분류코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size52.0 KiB
1007
6642 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1007
2nd row1007
3rd row1007
4th row1007
5th row1007

Common Values

ValueCountFrequency (%)
1007 6642
100.0%

Length

2024-05-11T09:59:38.860762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:59:39.137665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1007 6642
100.0%

서비스분류
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size52.0 KiB
기타시설
6642 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타시설 6642
100.0%

Length

2024-05-11T09:59:39.460124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:59:39.763498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타시설 6642
100.0%

자치구코드
Real number (ℝ)

HIGH CORRELATION 

Distinct25
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11447.457
Minimum11110
Maximum11740
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size58.5 KiB
2024-05-11T09:59:40.045769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11110
5-th percentile11140
Q111293.75
median11500
Q311560
95-th percentile11680
Maximum11740
Range630
Interquartile range (IQR)266.25

Descriptive statistics

Standard deviation172.61252
Coefficient of variation (CV)0.015078678
Kurtosis-0.92846706
Mean11447.457
Median Absolute Deviation (MAD)120
Skewness-0.42289841
Sum76034010
Variance29795.084
MonotonicityNot monotonic
2024-05-11T09:59:40.351721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
11530 695
 
10.5%
11500 637
 
9.6%
11380 629
 
9.5%
11560 623
 
9.4%
11650 500
 
7.5%
11470 388
 
5.8%
11140 365
 
5.5%
11230 326
 
4.9%
11620 313
 
4.7%
11200 305
 
4.6%
Other values (15) 1861
28.0%
ValueCountFrequency (%)
11110 190
2.9%
11140 365
5.5%
11170 46
 
0.7%
11200 305
4.6%
11215 128
 
1.9%
11230 326
4.9%
11260 200
3.0%
11290 101
 
1.5%
11305 82
 
1.2%
11320 24
 
0.4%
ValueCountFrequency (%)
11740 102
 
1.5%
11710 223
 
3.4%
11680 151
 
2.3%
11650 500
7.5%
11620 313
4.7%
11590 194
 
2.9%
11560 623
9.4%
11545 126
 
1.9%
11530 695
10.5%
11500 637
9.6%

자치구명
Categorical

HIGH CORRELATION 

Distinct25
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size52.0 KiB
구로구
695 
강서구
637 
은평구
629 
영등포구
623 
서초구
500 
Other values (20)
3558 

Length

Max length4
Median length3
Mean length3.1046372
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row중구
2nd row중구
3rd row서대문구
4th row서대문구
5th row서대문구

Common Values

ValueCountFrequency (%)
구로구 695
 
10.5%
강서구 637
 
9.6%
은평구 629
 
9.5%
영등포구 623
 
9.4%
서초구 500
 
7.5%
양천구 388
 
5.8%
중구 365
 
5.5%
동대문구 326
 
4.9%
관악구 313
 
4.7%
성동구 305
 
4.6%
Other values (15) 1861
28.0%

Length

2024-05-11T09:59:40.794027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
구로구 695
 
10.5%
강서구 637
 
9.6%
은평구 629
 
9.5%
영등포구 623
 
9.4%
서초구 500
 
7.5%
양천구 388
 
5.8%
중구 365
 
5.5%
동대문구 326
 
4.9%
관악구 313
 
4.7%
성동구 305
 
4.6%
Other values (15) 1861
28.0%

연령구분코드
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size52.0 KiB
1001
6184 
1002
 
416
1005
 
32
1003
 
8
1004
 
2

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1001
2nd row1001
3rd row1001
4th row1001
5th row1001

Common Values

ValueCountFrequency (%)
1001 6184
93.1%
1002 416
 
6.3%
1005 32
 
0.5%
1003 8
 
0.1%
1004 2
 
< 0.1%

Length

2024-05-11T09:59:41.200255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:59:41.399676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1001 6184
93.1%
1002 416
 
6.3%
1005 32
 
0.5%
1003 8
 
0.1%
1004 2
 
< 0.1%

연령구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size52.0 KiB
영유아
6184 
유치원생
 
416
초중생
 
32
초등학생
 
8
중학생
 
2

Length

Max length4
Median length3
Mean length3.0638362
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영유아 6184
93.1%
유치원생 416
 
6.3%
초중생 32
 
0.5%
초등학생 8
 
0.1%
중학생 2
 
< 0.1%

Length

2024-05-11T09:59:41.631112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:59:41.862857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영유아 6184
93.1%
유치원생 416
 
6.3%
초중생 32
 
0.5%
초등학생 8
 
0.1%
중학생 2
 
< 0.1%

시설분류코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size52.0 KiB
1004
6642 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1004
2nd row1004
3rd row1004
4th row1004
5th row1004

Common Values

ValueCountFrequency (%)
1004 6642
100.0%

Length

2024-05-11T09:59:42.153557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:59:42.329239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1004 6642
100.0%

시설분류
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size52.0 KiB
의료 시설
6642 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row의료 시설
2nd row의료 시설
3rd row의료 시설
4th row의료 시설
5th row의료 시설

Common Values

ValueCountFrequency (%)
의료 시설 6642
100.0%

Length

2024-05-11T09:59:42.519479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:59:42.706611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의료 6642
50.0%
시설 6642
50.0%

X좌표값
Real number (ℝ)

HIGH CORRELATION 

Distinct4163
Distinct (%)63.1%
Missing49
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean126.9569
Minimum126.79087
Maximum129.30771
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size58.5 KiB
2024-05-11T09:59:43.127391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.79087
5-th percentile126.83605
Q1126.88924
median126.93178
Q3127.02446
95-th percentile127.09726
Maximum129.30771
Range2.5168445
Interquartile range (IQR)0.13522

Descriptive statistics

Standard deviation0.099179046
Coefficient of variation (CV)0.00078120246
Kurtosis138.29554
Mean126.9569
Median Absolute Deviation (MAD)0.0719
Skewness6.1276012
Sum837026.87
Variance0.0098364832
MonotonicityNot monotonic
2024-05-11T09:59:43.686478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.88885 19
 
0.3%
126.88707 14
 
0.2%
127.00988 14
 
0.2%
126.85825 13
 
0.2%
126.83679 12
 
0.2%
126.89016 12
 
0.2%
127.00083 11
 
0.2%
126.84202 11
 
0.2%
126.91935 10
 
0.2%
126.91641 10
 
0.2%
Other values (4153) 6467
97.4%
(Missing) 49
 
0.7%
ValueCountFrequency (%)
126.7908655389515 1
< 0.1%
126.80284 2
< 0.1%
126.80349 2
< 0.1%
126.80666 1
< 0.1%
126.80698 1
< 0.1%
126.80735 2
< 0.1%
126.80851 1
< 0.1%
126.80881 1
< 0.1%
126.80882 1
< 0.1%
126.80884 1
< 0.1%
ValueCountFrequency (%)
129.30771 1
< 0.1%
129.28519 1
< 0.1%
129.28501 1
< 0.1%
127.17683 1
< 0.1%
127.17571 1
< 0.1%
127.17537 1
< 0.1%
127.17485 1
< 0.1%
127.17462 2
< 0.1%
127.17413 1
< 0.1%
127.17393 1
< 0.1%

Y좌표값
Real number (ℝ)

HIGH CORRELATION 

Distinct3918
Distinct (%)59.4%
Missing49
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean37.538965
Minimum35.55257
Maximum37.6863
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size58.5 KiB
2024-05-11T09:59:44.129965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.55257
5-th percentile37.477056
Q137.5
median37.53739
Q337.57106
95-th percentile37.61752
Maximum37.6863
Range2.13373
Interquartile range (IQR)0.07106

Descriptive statistics

Standard deviation0.062197751
Coefficient of variation (CV)0.0016568851
Kurtosis470.21401
Mean37.538965
Median Absolute Deviation (MAD)0.03563
Skewness-14.645173
Sum247494.4
Variance0.0038685602
MonotonicityNot monotonic
2024-05-11T09:59:44.666408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.49581 19
 
0.3%
37.50904 14
 
0.2%
37.46404 13
 
0.2%
37.49402 13
 
0.2%
37.50711 13
 
0.2%
37.50822 13
 
0.2%
37.48604 13
 
0.2%
37.54718 12
 
0.2%
37.51776 11
 
0.2%
37.50217 11
 
0.2%
Other values (3908) 6461
97.3%
(Missing) 49
 
0.7%
ValueCountFrequency (%)
35.55257 1
< 0.1%
35.55306 1
< 0.1%
35.5563 1
< 0.1%
37.44228 1
< 0.1%
37.44327 1
< 0.1%
37.4456 1
< 0.1%
37.44733 1
< 0.1%
37.44734782885949 1
< 0.1%
37.44765 1
< 0.1%
37.4479 1
< 0.1%
ValueCountFrequency (%)
37.6863 1
< 0.1%
37.68377 1
< 0.1%
37.68017 1
< 0.1%
37.67912 2
< 0.1%
37.67745 1
< 0.1%
37.67393 1
< 0.1%
37.67374 1
< 0.1%
37.67118 1
< 0.1%
37.67111 2
< 0.1%
37.6704 1
< 0.1%

우편번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct1363
Distinct (%)39.4%
Missing3180
Missing (%)47.9%
Infinite0
Infinite (%)0.0%
Mean5816.7322
Minimum780
Maximum58660
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size58.5 KiB
2024-05-11T09:59:45.131971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum780
5-th percentile2406
Q13472
median6544
Q37605
95-th percentile8702
Maximum58660
Range57880
Interquartile range (IQR)4133

Descriptive statistics

Standard deviation2494.3891
Coefficient of variation (CV)0.42882997
Kurtosis106.19866
Mean5816.7322
Median Absolute Deviation (MAD)1725
Skewness4.9484376
Sum20137527
Variance6221977.1
MonotonicityNot monotonic
2024-05-11T09:59:45.784150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7807 22
 
0.3%
4597 20
 
0.3%
7599 20
 
0.3%
7639 20
 
0.3%
7803 18
 
0.3%
3461 18
 
0.3%
7714 15
 
0.2%
7788 15
 
0.2%
3412 15
 
0.2%
7635 15
 
0.2%
Other values (1353) 3284
49.4%
(Missing) 3180
47.9%
ValueCountFrequency (%)
780 3
< 0.1%
1167 1
 
< 0.1%
1196 1
 
< 0.1%
1205 1
 
< 0.1%
1387 1
 
< 0.1%
1405 1
 
< 0.1%
1417 1
 
< 0.1%
1466 1
 
< 0.1%
1607 1
 
< 0.1%
1611 1
 
< 0.1%
ValueCountFrequency (%)
58660 1
 
< 0.1%
56660 1
 
< 0.1%
8864 1
 
< 0.1%
8862 1
 
< 0.1%
8861 1
 
< 0.1%
8860 1
 
< 0.1%
8857 1
 
< 0.1%
8849 4
0.1%
8847 1
 
< 0.1%
8846 2
< 0.1%

기본주소
Text

Distinct4869
Distinct (%)73.3%
Missing2
Missing (%)< 0.1%
Memory size52.0 KiB
2024-05-11T09:59:46.899673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length35
Mean length16.468675
Min length6

Characters and Unicode

Total characters109352
Distinct characters337
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

Unique3783 ?
Unique (%)57.0%

Sample

1st row서울특별시 중구 명동길 26
2nd row서울특별시 중구 남대문로 78
3rd row서울특별시 서대문구 세무서길 8
4th row서울특별시 서대문구 통일로 440
5th row서울특별시 서대문구 통일로 397
ValueCountFrequency (%)
서울특별시 3460
 
13.1%
서울 3039
 
11.5%
구로구 682
 
2.6%
강서구 637
 
2.4%
영등포구 623
 
2.4%
은평구 576
 
2.2%
서초구 500
 
1.9%
양천구 387
 
1.5%
중구 361
 
1.4%
동대문구 323
 
1.2%
Other values (2472) 15895
60.0%
2024-05-11T09:59:47.989071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20030
18.3%
서 8294
 
7.6%
로 7485
 
6.8%
구 7401
 
6.8%
울 6541
 
6.0%
1 3800
 
3.5%
시 3578
 
3.3%
별 3461
 
3.2%
특 3461
 
3.2%
2 2931
 
2.7%
Other values (327) 42370
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 68837
62.9%
Space Separator 20030
 
18.3%
Decimal Number 19930
 
18.2%
Dash Punctuation 511
 
0.5%
Uppercase Letter 15
 
< 0.1%
Other Punctuation 13
 
< 0.1%
Open Punctuation 8
 
< 0.1%
Close Punctuation 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 8294
 
12.0%
로 7485
 
10.9%
구 7401
 
10.8%
울 6541
 
9.5%
시 3578
 
5.2%
별 3461
 
5.0%
특 3461
 
5.0%
길 1728
 
2.5%
동 1510
 
2.2%
대 1198
 
1.7%
Other values (300) 24180
35.1%
Uppercase Letter
ValueCountFrequency (%)
G 2
13.3%
F 2
13.3%
E 2
13.3%
T 2
13.3%
R 1
6.7%
W 1
6.7%
O 1
6.7%
C 1
6.7%
U 1
6.7%
B 1
6.7%
Decimal Number
ValueCountFrequency (%)
1 3800
19.1%
2 2931
14.7%
3 2479
12.4%
4 1858
9.3%
5 1664
8.3%
6 1641
8.2%
7 1516
 
7.6%
0 1443
 
7.2%
8 1300
 
6.5%
9 1298
 
6.5%
Other Punctuation
ValueCountFrequency (%)
, 12
92.3%
/ 1
 
7.7%
Space Separator
ValueCountFrequency (%)
20030
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 511
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 68837
62.9%
Common 40500
37.0%
Latin 15
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 8294
 
12.0%
로 7485
 
10.9%
구 7401
 
10.8%
울 6541
 
9.5%
시 3578
 
5.2%
별 3461
 
5.0%
특 3461
 
5.0%
길 1728
 
2.5%
동 1510
 
2.2%
대 1198
 
1.7%
Other values (300) 24180
35.1%
Common
ValueCountFrequency (%)
20030
49.5%
1 3800
 
9.4%
2 2931
 
7.2%
3 2479
 
6.1%
4 1858
 
4.6%
5 1664
 
4.1%
6 1641
 
4.1%
7 1516
 
3.7%
0 1443
 
3.6%
8 1300
 
3.2%
Other values (6) 1838
 
4.5%
Latin
ValueCountFrequency (%)
G 2
13.3%
F 2
13.3%
E 2
13.3%
T 2
13.3%
R 1
6.7%
W 1
6.7%
O 1
6.7%
C 1
6.7%
U 1
6.7%
B 1
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 68837
62.9%
ASCII 40515
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20030
49.4%
1 3800
 
9.4%
2 2931
 
7.2%
3 2479
 
6.1%
4 1858
 
4.6%
5 1664
 
4.1%
6 1641
 
4.1%
7 1516
 
3.7%
0 1443
 
3.6%
8 1300
 
3.2%
Other values (17) 1853
 
4.6%
Hangul
ValueCountFrequency (%)
서 8294
 
12.0%
로 7485
 
10.9%
구 7401
 
10.8%
울 6541
 
9.5%
시 3578
 
5.2%
별 3461
 
5.0%
특 3461
 
5.0%
길 1728
 
2.5%
동 1510
 
2.2%
대 1198
 
1.7%
Other values (300) 24180
35.1%

상세주소
Text

MISSING 

Distinct3165
Distinct (%)68.5%
Missing2023
Missing (%)30.5%
Memory size52.0 KiB
2024-05-11T09:59:48.588192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length46
Mean length11.115176
Min length2

Characters and Unicode

Total characters51341
Distinct characters584
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2849 ?
Unique (%)61.7%

Sample

1st row (명동2가)
2nd row (명동1가)
3rd row1층 2호 (홍제동)
4th row (홍제동)
5th row한신휴플러스 상가 B419호 (홍제동, 인왕산 한신휴플러스)
ValueCountFrequency (%)
2층 797
 
8.0%
1층 566
 
5.7%
3층 487
 
4.9%
4층 249
 
2.5%
응암동 121
 
1.2%
5층 116
 
1.2%
마곡동 116
 
1.2%
화곡동 91
 
0.9%
신길동 88
 
0.9%
봉천동 88
 
0.9%
Other values (3011) 7287
72.8%
2024-05-11T09:59:49.799770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6320
 
12.3%
동 3730
 
7.3%
) 3496
 
6.8%
( 3494
 
6.8%
층 2571
 
5.0%
2 1561
 
3.0%
1 1388
 
2.7%
3 1063
 
2.1%
호 820
 
1.6%
가 792
 
1.5%
Other values (574) 26106
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30768
59.9%
Space Separator 6320
 
12.3%
Decimal Number 6245
 
12.2%
Close Punctuation 3496
 
6.8%
Open Punctuation 3494
 
6.8%
Other Punctuation 572
 
1.1%
Uppercase Letter 306
 
0.6%
Dash Punctuation 63
 
0.1%
Lowercase Letter 55
 
0.1%
Math Symbol 21
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3730
 
12.1%
층 2571
 
8.4%
호 820
 
2.7%
가 792
 
2.6%
빌 601
 
2.0%
신 550
 
1.8%
딩 543
 
1.8%
상 441
 
1.4%
아 421
 
1.4%
곡 381
 
1.2%
Other values (514) 19918
64.7%
Uppercase Letter
ValueCountFrequency (%)
B 54
17.6%
A 42
13.7%
S 37
12.1%
K 31
10.1%
C 22
 
7.2%
F 13
 
4.2%
D 13
 
4.2%
M 12
 
3.9%
L 10
 
3.3%
J 9
 
2.9%
Other values (14) 63
20.6%
Lowercase Letter
ValueCountFrequency (%)
e 13
23.6%
s 8
14.5%
a 7
12.7%
k 7
12.7%
c 4
 
7.3%
t 3
 
5.5%
r 3
 
5.5%
n 2
 
3.6%
v 2
 
3.6%
b 2
 
3.6%
Other values (4) 4
 
7.3%
Decimal Number
ValueCountFrequency (%)
2 1561
25.0%
1 1388
22.2%
3 1063
17.0%
0 759
12.2%
4 581
 
9.3%
5 352
 
5.6%
6 231
 
3.7%
7 123
 
2.0%
8 111
 
1.8%
9 76
 
1.2%
Other Punctuation
ValueCountFrequency (%)
, 556
97.2%
. 6
 
1.0%
@ 4
 
0.7%
/ 3
 
0.5%
& 2
 
0.3%
？ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
6320
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3496
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3494
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 63
100.0%
Math Symbol
ValueCountFrequency (%)
~ 21
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30768
59.9%
Common 20211
39.4%
Latin 362
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3730
 
12.1%
층 2571
 
8.4%
호 820
 
2.7%
가 792
 
2.6%
빌 601
 
2.0%
신 550
 
1.8%
딩 543
 
1.8%
상 441
 
1.4%
아 421
 
1.4%
곡 381
 
1.2%
Other values (514) 19918
64.7%
Latin
ValueCountFrequency (%)
B 54
14.9%
A 42
 
11.6%
S 37
 
10.2%
K 31
 
8.6%
C 22
 
6.1%
e 13
 
3.6%
F 13
 
3.6%
D 13
 
3.6%
M 12
 
3.3%
L 10
 
2.8%
Other values (29) 115
31.8%
Common
ValueCountFrequency (%)
6320
31.3%
) 3496
17.3%
( 3494
17.3%
2 1561
 
7.7%
1 1388
 
6.9%
3 1063
 
5.3%
0 759
 
3.8%
4 581
 
2.9%
, 556
 
2.8%
5 352
 
1.7%
Other values (11) 641
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30768
59.9%
ASCII 20571
40.1%
Number Forms 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6320
30.7%
) 3496
17.0%
( 3494
17.0%
2 1561
 
7.6%
1 1388
 
6.7%
3 1063
 
5.2%
0 759
 
3.7%
4 581
 
2.8%
, 556
 
2.7%
5 352
 
1.7%
Other values (48) 1001
 
4.9%
Hangul
ValueCountFrequency (%)
동 3730
 
12.1%
층 2571
 
8.4%
호 820
 
2.7%
가 792
 
2.6%
빌 601
 
2.0%
신 550
 
1.8%
딩 543
 
1.8%
상 441
 
1.4%
아 421
 
1.4%
곡 381
 
1.2%
Other values (514) 19918
64.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
None
ValueCountFrequency (%)
？ 1
100.0%

사용료무료여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
False
4799 
True
1843 
ValueCountFrequency (%)
False 4799
72.3%
True 1843
 
27.7%
2024-05-11T09:59:50.077574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

사용료
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct49
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size52.0 KiB
<NA>
5025 
0
 
469
000
 
424
1,000
 
167
3,000
 
104
Other values (44)
 
453

Length

Max length11
Median length4
Mean length3.7926829
Min length1

Unique

Unique17 ?
Unique (%)0.3%

Sample

1st row000
2nd row000
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 5025
75.7%
0 469
 
7.1%
000 424
 
6.4%
1,000 167
 
2.5%
3,000 104
 
1.6%
0,000 96
 
1.4%
1 73
 
1.1%
2,000 45
 
0.7%
00 43
 
0.6%
10,000 42
 
0.6%
Other values (39) 154
 
2.3%

Length

2024-05-11T09:59:50.276771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 5025
75.7%
0 469
 
7.1%
000 424
 
6.4%
1,000 167
 
2.5%
3,000 104
 
1.6%
0,000 96
 
1.4%
1 73
 
1.1%
2,000 45
 
0.7%
00 43
 
0.6%
10,000 42
 
0.6%
Other values (39) 154
 
2.3%

안내URL
Text

MISSING 

Distinct1019
Distinct (%)90.5%
Missing5516
Missing (%)83.0%
Memory size52.0 KiB
2024-05-11T09:59:50.748470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length360
Median length159
Mean length32.103908
Min length1

Characters and Unicode

Total characters36149
Distinct characters123
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)88.8%

Sample

1st rowhttps://bostonclassic.co.kr/
2nd rowhttp://www.flowerdent.com
3rd rowhttps://pharm.goodhosrank.com/m/pharm_detail.php?uid=6693
4th rowhttps://blog.naver.com/jhungnjhung
5th rowhttps://gangnam.chamc.co.kr/
ValueCountFrequency (%)
https://ㅡ 54
 
4.8%
http 25
 
2.2%
https://www.e-gen.or.kr 15
 
1.3%
https://없음 3
 
0.3%
http://www.nowon.kr 3
 
0.3%
https 3
 
0.3%
http://kingskidscenter.co.kr 2
 
0.2%
http://ksdkahp.co.kr 2
 
0.2%
홈페이지 2
 
0.2%
http://24clinic.kr 2
 
0.2%
Other values (1010) 1024
90.2%
2024-05-11T09:59:51.866359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 3296
 
9.1%
t 3046
 
8.4%
. 2399
 
6.6%
o 2385
 
6.6%
p 1701
 
4.7%
h 1672
 
4.6%
a 1602
 
4.4%
e 1598
 
4.4%
c 1375
 
3.8%
m 1363
 
3.8%
Other values (113) 15712
43.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 25420
70.3%
Other Punctuation 7361
 
20.4%
Decimal Number 2344
 
6.5%
Uppercase Letter 448
 
1.2%
Math Symbol 174
 
0.5%
Other Letter 124
 
0.3%
Connector Punctuation 107
 
0.3%
Dash Punctuation 96
 
0.3%
Space Separator 74
 
0.2%
Control 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ㅡ 54
43.5%
지 4
 
3.2%
음 4
 
3.2%
이 4
 
3.2%
없 4
 
3.2%
홈 3
 
2.4%
페 3
 
2.4%
인 3
 
2.4%
원 2
 
1.6%
리 2
 
1.6%
Other values (41) 41
33.1%
Lowercase Letter
ValueCountFrequency (%)
t 3046
 
12.0%
o 2385
 
9.4%
p 1701
 
6.7%
h 1672
 
6.6%
a 1602
 
6.3%
e 1598
 
6.3%
c 1375
 
5.4%
m 1363
 
5.4%
w 1343
 
5.3%
s 1340
 
5.3%
Other values (16) 7995
31.5%
Uppercase Letter
ValueCountFrequency (%)
B 78
17.4%
E 76
17.0%
C 73
16.3%
D 44
9.8%
A 42
9.4%
F 42
9.4%
P 19
 
4.2%
N 15
 
3.3%
L 10
 
2.2%
I 10
 
2.2%
Other values (11) 39
8.7%
Other Punctuation
ValueCountFrequency (%)
/ 3296
44.8%
. 2399
32.6%
: 1129
 
15.3%
% 300
 
4.1%
? 104
 
1.4%
, 74
 
1.0%
& 50
 
0.7%
# 6
 
0.1%
@ 2
 
< 0.1%
？ 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
2 319
13.6%
1 316
13.5%
0 315
13.4%
5 257
11.0%
3 226
9.6%
9 210
9.0%
6 185
7.9%
8 180
7.7%
4 171
7.3%
7 165
7.0%
Math Symbol
ValueCountFrequency (%)
= 174
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 107
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%
Space Separator
ValueCountFrequency (%)
74
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 25868
71.6%
Common 10157
 
28.1%
Hangul 124
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
ㅡ 54
43.5%
지 4
 
3.2%
음 4
 
3.2%
이 4
 
3.2%
없 4
 
3.2%
홈 3
 
2.4%
페 3
 
2.4%
인 3
 
2.4%
원 2
 
1.6%
리 2
 
1.6%
Other values (41) 41
33.1%
Latin
ValueCountFrequency (%)
t 3046
 
11.8%
o 2385
 
9.2%
p 1701
 
6.6%
h 1672
 
6.5%
a 1602
 
6.2%
e 1598
 
6.2%
c 1375
 
5.3%
m 1363
 
5.3%
w 1343
 
5.2%
s 1340
 
5.2%
Other values (37) 8443
32.6%
Common
ValueCountFrequency (%)
/ 3296
32.5%
. 2399
23.6%
: 1129
 
11.1%
2 319
 
3.1%
1 316
 
3.1%
0 315
 
3.1%
% 300
 
3.0%
5 257
 
2.5%
3 226
 
2.2%
9 210
 
2.1%
Other values (15) 1390
13.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36024
99.7%
Hangul 70
 
0.2%
Compat Jamo 54
 
0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 3296
 
9.1%
t 3046
 
8.5%
. 2399
 
6.7%
o 2385
 
6.6%
p 1701
 
4.7%
h 1672
 
4.6%
a 1602
 
4.4%
e 1598
 
4.4%
c 1375
 
3.8%
m 1363
 
3.8%
Other values (61) 15587
43.3%
Compat Jamo
ValueCountFrequency (%)
ㅡ 54
100.0%
Hangul
ValueCountFrequency (%)
지 4
 
5.7%
음 4
 
5.7%
이 4
 
5.7%
없 4
 
5.7%
홈 3
 
4.3%
페 3
 
4.3%
인 3
 
4.3%
원 2
 
2.9%
리 2
 
2.9%
악 1
 
1.4%
Other values (40) 40
57.1%
None
ValueCountFrequency (%)
？ 1
100.0%

등록일시
Date

Distinct4589
Distinct (%)69.1%
Missing0
Missing (%)0.0%
Memory size52.0 KiB
Minimum2014-07-08 21:21:44
Maximum2023-12-31 18:35:54
2024-05-11T09:59:52.236805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:59:52.571587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

수정일시
Date

MISSING 

Distinct1821
Distinct (%)100.0%
Missing4821
Missing (%)72.6%
Memory size52.0 KiB
Minimum2020-02-14 18:42:34
Maximum2023-12-27 20:48:07
2024-05-11T09:59:52.927991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:59:53.243958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-05-11T09:59:34.949194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:59:31.886412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:59:32.663643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:59:33.804944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:59:35.242343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:59:32.086939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:59:32.959582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:59:34.069523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:59:35.546559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:59:32.261883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:59:33.176503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:59:34.335575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:59:35.792864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:59:32.450666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:59:33.519878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:59:34.673464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T09:59:53.447191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자치구코드자치구명연령구분코드연령구분X좌표값Y좌표값우편번호사용료무료여부사용료
자치구코드1.0001.0000.3310.3310.7160.3180.7860.4060.830
자치구명1.0001.0000.3720.3720.8260.6690.8590.5340.881
연령구분코드0.3310.3721.0001.0000.0120.0000.1090.0330.388
연령구분0.3310.3721.0001.0000.0120.0000.1090.0330.388
X좌표값0.7160.8260.0120.0121.0000.9430.2900.0170.604
Y좌표값0.3180.6690.0000.0000.9431.0000.0990.0280.230
우편번호0.7860.8590.1090.1090.2900.0991.0000.0440.447
사용료무료여부0.4060.5340.0330.0330.0170.0280.0441.000NaN
사용료0.8300.8810.3880.3880.6040.2300.447NaN1.000
2024-05-11T09:59:53.847329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연령구분코드사용료자치구명연령구분사용료무료여부
연령구분코드1.0000.1870.1691.0000.040
사용료0.1871.0000.3870.1871.000
자치구명0.1690.3871.0000.1690.463
연령구분1.0000.1870.1691.0000.040
사용료무료여부0.0401.0000.4630.0401.000
2024-05-11T09:59:54.065444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자치구코드X좌표값Y좌표값우편번호자치구명연령구분코드연령구분사용료무료여부사용료
자치구코드1.000-0.131-0.7480.5830.9990.1200.1200.3250.453
X좌표값-0.1311.0000.193-0.6650.6380.0090.0090.0280.479
Y좌표값-0.7480.1931.000-0.7300.4500.0000.0000.0460.180
우편번호0.583-0.665-0.7301.0000.6850.0810.0810.0720.352
자치구명0.9990.6380.4500.6851.0000.1690.1690.4630.387
연령구분코드0.1200.0090.0000.0810.1691.0001.0000.0400.187
연령구분0.1200.0090.0000.0810.1691.0001.0000.0400.187
사용료무료여부0.3250.0280.0460.0720.4630.0400.0401.0001.000
사용료0.4530.4790.1800.3520.3870.1870.1871.0001.000

Missing values

2024-05-11T09:59:36.108051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T09:59:36.777690image/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.
2024-05-11T09:59:37.150176image/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

의료시설명서비스분류코드서비스분류자치구코드자치구명연령구분코드연령구분시설분류코드시설분류X좌표값Y좌표값우편번호기본주소상세주소사용료무료여부사용료안내URL등록일시수정일시
0한피부과의원1007기타시설11140중구1001영유아1004의료 시설126.9837737.563454536서울특별시 중구 명동길 26(명동2가)N000<NA>2023-12-31 18:35:54.0<NA>
1아비쥬의원 명동1007기타시설11140중구1001영유아1004의료 시설126.9829637.564224534서울특별시 중구 남대문로 78(명동1가)N000<NA>2023-12-31 18:29:49.0<NA>
2홍제튼튼약국(휴일지킴이 약국)1007기타시설11410서대문구1001영유아1004의료 시설126.945537.588313630서울특별시 서대문구 세무서길 81층 2호 (홍제동)Y<NA><NA>2023-12-27 20:45:15.0<NA>
3우리마을홍제약국(휴일지킴이 약국)1007기타시설11410서대문구1001영유아1004의료 시설126.9451137.588363629서울특별시 서대문구 통일로 440(홍제동)Y<NA><NA>2023-12-27 20:42:34.0<NA>
4한신약국(휴일지킴이 약국)1007기타시설11410서대문구1001영유아1004의료 시설126.9474637.585153730서울특별시 서대문구 통일로 397한신휴플러스 상가 B419호 (홍제동, 인왕산 한신휴플러스)Y<NA><NA>2023-12-27 20:39:25.02023-12-27 20:39:39.0
5홍인약국(휴일지킴이 약국)1007기타시설11410서대문구1001영유아1004의료 시설126.9505337.586013633서울특별시 서대문구 통일로34길 48인왕산현대아파트상가동 216호 (홍제동)Y<NA><NA>2023-12-26 20:47:14.0<NA>
6윤윤보내과의원1007기타시설11140중구1001영유아1004의료 시설126.9836437.563894534서울특별시 중구 명동3길 6(명동1가)N000<NA>2023-12-26 15:56:25.02023-12-26 17:50:46.0
7연세다온소아청소년과의원1007기타시설11140중구1001영유아1004의료 시설126.9658637.554594501서울특별시 중구 만리재로 177(만리동2가, 서울역한라비발디센트럴)N000<NA>2023-12-26 15:46:04.0<NA>
8아인스치과의원1007기타시설11500강서구1001영유아1004의료 시설126.8634237.532557741서울특별시 강서구 등촌로 293층 (화곡동)Y<NA><NA>2023-12-22 14:45:57.0<NA>
9서울다조은치과1007기타시설11380은평구1001영유아1004의료 시설126.9195137.600243461서울특별시 은평구 은평로 107(응암동)Y<NA><NA>2023-12-22 12:32:14.0<NA>
의료시설명서비스분류코드서비스분류자치구코드자치구명연령구분코드연령구분시설분류코드시설분류X좌표값Y좌표값우편번호기본주소상세주소사용료무료여부사용료안내URL등록일시수정일시
6632루덴치과1007기타시설11140중구1001영유아1004의료 시설126.9850837.56493<NA>서울 중구 명동9길 22<NA>N<NA><NA>2014-07-08 21:21:45.0<NA>
6633서울성심병원1007기타시설11230동대문구1001영유아1004의료 시설127.0498237.584182488서울특별시 동대문구 왕산로 259서울성심병원 (청량리동)N0http://www.sshosp.co.kr/2014-07-08 21:21:45.02020-04-08 11:30:46.0
6634미즈아인 소아과1007기타시설11230동대문구1001영유아1004의료 시설127.0447637.583392484서울특별시 동대문구 약령시로 1331층 미즈아인소아과 (청량리동)N0,000<NA>2014-07-08 21:21:45.02022-03-17 17:48:00.0
6635박환실피부&비뇨기과1007기타시설11140중구1001영유아1004의료 시설126.9790637.56741<NA>서울 중구 무교로 17<NA>N<NA><NA>2014-07-08 21:21:45.0<NA>
6636(길음동) [영유아 건강검진 기관] 아이&I소아청소년과의원1007기타시설11290성북구1001영유아1004의료 시설127.0193337.609412715서울특별시 성북구 길음로13길 22(길음동, 길음7구역 두산위브아파트)Y<NA><NA>2014-07-08 21:21:44.02023-05-21 17:28:02.0
6637(정릉동) [영유아 건강검진 기관] 아이사랑소아청소년과의원1007기타시설11290성북구1001영유아1004의료 시설127.0100837.608862717서울특별시 성북구 보국문로 50국민은행 3층 (정릉동)Y<NA><NA>2014-07-08 21:21:44.02023-06-04 23:15:30.0
6638(길음동) [어린이 치과] 키즈웰치과의원 길음점1007기타시설11290성북구1001영유아1004의료 시설127.0220837.6052720서울특별시 성북구 길음로 33지하1층 13, 14호(길음동, 길음뉴타운)N0,000<NA>2014-07-08 21:21:44.02023-05-18 10:29:26.0
6639(석관동) [영유아 건강검진 기관] 인선소아과의원1007기타시설11290성북구1001영유아1004의료 시설127.0594937.608232788서울특별시 성북구 돌곶이로 47(석관동)N0<NA>2014-07-08 21:21:44.02023-04-10 17:55:30.0
6640(장위동) 좋은이비인후과1007기타시설11290성북구1001영유아1004의료 시설127.05237.610052771서울특별시 성북구 돌곶이로27길 79(장위동)N0<NA>2014-07-08 21:21:44.02023-03-13 13:55:33.0
6641(길음동) [어린이 치과] 연세밝은아이치과의원1007기타시설11290성북구1001영유아1004의료 시설127.0287237.607732730서울특별시 성북구 동소문로 3113층 (길음동)N0<NA>2014-07-08 21:21:44.02023-07-18 10:17:24.0

Duplicate rows

Most frequently occurring

의료시설명서비스분류코드서비스분류자치구코드자치구명연령구분코드연령구분시설분류코드시설분류X좌표값Y좌표값우편번호기본주소상세주소사용료무료여부사용료안내URL등록일시수정일시# duplicates
0현대한의원1007기타시설11530구로구1001영유아1004의료 시설126.8587137.49327<NA>서울 구로구 개봉로20길 78<NA>N<NA><NA>2016-09-11 19:45:21.0<NA>2