gimi9 Pandas Profiling

Dataset statistics

Number of variables	16
Number of observations	10000
Missing cells	7247
Missing cells (%)	4.5%
Duplicate rows	2
Duplicate rows (%)	< 0.1%
Total size in memory	1.4 MiB
Average record size in memory	142.0 B

Variable types

Categorical	3
Text	7
Numeric	6

Dataset

Description	의원 현황(의원급)
Author	행정안전부
URL	https://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=9091L96FYGLU9J9I8UC52153092&infSeq=1

Alerts

`의료기관종별명` has constant value ""	Constant
Dataset has 2 (< 0.1%) duplicate rows	Duplicates
`병상수(개)` is highly overall correlated with `입원실수(개)`	High correlation
`입원실수(개)` is highly overall correlated with `병상수(개)`	High correlation
`WGS84위도` is highly overall correlated with `시군명`	High correlation
`WGS84경도` is highly overall correlated with `시군명`	High correlation
`시군명` is highly overall correlated with `WGS84위도` and 1 other fields	High correlation
`영업상태명` is highly imbalanced (51.4%)	Imbalance
`폐업일자` has 6479 (64.8%) missing values	Missing
`소재지도로명주소` has 244 (2.4%) missing values	Missing
`소재지우편번호` has 125 (1.2%) missing values	Missing
`WGS84위도` has 196 (2.0%) missing values	Missing
`WGS84경도` has 196 (2.0%) missing values	Missing
`연면적(㎡)` is highly skewed (γ1 = 91.28658547)	Skewed
`병상수(개)` has 8355 (83.5%) zeros	Zeros
`의료인수(명)` has 222 (2.2%) zeros	Zeros
`입원실수(개)` has 8474 (84.7%) zeros	Zeros
`연면적(㎡)` has 354 (3.5%) zeros	Zeros

Reproduction

Analysis started	2024-03-16 04:20:51.808681
Analysis finished	2024-03-16 04:21:11.530404
Duration	19.72 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

시군명
Categorical

HIGH CORRELATION

Distinct	32
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

고양시	1056
용인시	818
안양시	739
부천시	715
성남시	683
Other values (27)	5989

Length

Max length	4
Median length	3
Mean length	3.0421
Min length	3

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	고양시
2nd row	고양시
3rd row	부천시
4th row	부천시
5th row	하남시

Common Values

Value	Count	Frequency (%)
고양시	1056	10.6%
용인시	818	8.2%
안양시	739	7.4%
부천시	715	7.1%
성남시	683	6.8%
화성시	637	6.4%
안산시	591	5.9%
남양주	435	4.3%
평택시	403	4.0%
시흥시	394	3.9%
Other values (22)	3529	35.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
고양시	1056	10.6%
용인시	818	8.2%
안양시	739	7.4%
부천시	715	7.1%
성남시	683	6.8%
화성시	637	6.4%
안산시	591	5.9%
남양주	435	4.3%
평택시	403	4.0%
시흥시	394	3.9%
Other values (22)	3529	35.3%

사업장명
Text

Distinct	7687
Distinct (%)	76.9%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	34
Median length	24
Mean length	8.1223
Min length	3

Characters and Unicode

Total characters	81223
Distinct characters	670
Distinct categories	10 ?
Distinct scripts	4 ?
Distinct blocks	5 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6551 ?
Unique (%)	65.5%

Sample

1st row	투인원의원
2nd row	연세쿰내과의원
3rd row	이수용소아청소년과의원
4th row	역곡항도외과의원
5th row	이호연비뇨기과의원

Value	Count	Frequency (%)
의원	47	0.5%
연세이비인후과의원	23	0.2%
연세의원	18	0.2%
서울이비인후과의원	17	0.2%
서울의원	17	0.2%
상쾌한이비인후과의원	16	0.2%
하나의원	15	0.1%
서울연합의원	15	0.1%
연세가정의학과의원	14	0.1%
의료법인	14	0.1%
Other values (7795)	10162	98.1%

Most occurring characters

Value	Count	Frequency (%)
의	11148	13.7%
원	10152	12.5%
과	6765	8.3%
소	1903	2.3%
정	1716	2.1%
이	1581	1.9%
인	1491	1.8%
아	1447	1.8%
외	1315	1.6%
내	1290	1.6%
Other values (660)	42415	52.2%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	80048	98.6%
Decimal Number	426	0.5%
Space Separator	358	0.4%
Uppercase Letter	151	0.2%
Lowercase Letter	70	0.1%
Close Punctuation	69	0.1%
Open Punctuation	62	0.1%
Other Punctuation	35	< 0.1%
Dash Punctuation	3	< 0.1%
Letter Number	1	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
의	11148	13.9%
원	10152	12.7%
과	6765	8.5%
소	1903	2.4%
정	1716	2.1%
이	1581	2.0%
인	1491	1.9%
아	1447	1.8%
외	1315	1.6%
내	1290	1.6%
Other values (607)	41240	51.5%

Uppercase Letter

Value	Count	Frequency (%)
S	22	14.6%
C	16	10.6%
J	12	7.9%
M	12	7.9%
N	11	7.3%
L	10	6.6%
W	10	6.6%
K	9	6.0%
H	8	5.3%
D	7	4.6%
Other values (10)	34	22.5%

Lowercase Letter

Value	Count	Frequency (%)
e	13	18.6%
i	10	14.3%
c	6	8.6%
h	5	7.1%
o	5	7.1%
r	5	7.1%
s	5	7.1%
a	4	5.7%
l	4	5.7%
n	3	4.3%
Other values (5)	10	14.3%

Decimal Number

Value	Count	Frequency (%)
5	116	27.2%
6	116	27.2%
3	116	27.2%
2	30	7.0%
1	29	6.8%
8	14	3.3%
4	3	0.7%
7	1	0.2%
9	1	0.2%

Other Punctuation

Value	Count	Frequency (%)
&	20	57.1%
.	6	17.1%
·	5	14.3%
,	4	11.4%

Space Separator

Value	Count	Frequency (%)
	358	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	69	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	62	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3	100.0%

Letter Number

Value	Count	Frequency (%)
Ⅰ	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	80047	98.6%
Common	953	1.2%
Latin	222	0.3%
Han	1	< 0.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
의	11148	13.9%
원	10152	12.7%
과	6765	8.5%
소	1903	2.4%
정	1716	2.1%
이	1581	2.0%
인	1491	1.9%
아	1447	1.8%
외	1315	1.6%
내	1290	1.6%
Other values (606)	41239	51.5%

Latin

Value	Count	Frequency (%)
S	22	9.9%
C	16	7.2%
e	13	5.9%
J	12	5.4%
M	12	5.4%
N	11	5.0%
L	10	4.5%
W	10	4.5%
i	10	4.5%
K	9	4.1%
Other values (26)	97	43.7%

Common

Value	Count	Frequency (%)
	358	37.6%
5	116	12.2%
6	116	12.2%
3	116	12.2%
)	69	7.2%
(	62	6.5%
2	30	3.1%
1	29	3.0%
&	20	2.1%
8	14	1.5%
Other values (7)	23	2.4%

Han

Value	Count	Frequency (%)
愛	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	80047	98.6%
ASCII	1169	1.4%
None	5	< 0.1%
CJK	1	< 0.1%
Number Forms	1	< 0.1%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
의	11148	13.9%
원	10152	12.7%
과	6765	8.5%
소	1903	2.4%
정	1716	2.1%
이	1581	2.0%
인	1491	1.9%
아	1447	1.8%
외	1315	1.6%
내	1290	1.6%
Other values (606)	41239	51.5%

ASCII

Value	Count	Frequency (%)
	358	30.6%
5	116	9.9%
6	116	9.9%
3	116	9.9%
)	69	5.9%
(	62	5.3%
2	30	2.6%
1	29	2.5%
S	22	1.9%
&	20	1.7%
Other values (41)	231	19.8%

None

Value	Count	Frequency (%)
·	5	100.0%

CJK

Value	Count	Frequency (%)
愛	1	100.0%

Number Forms

Value	Count	Frequency (%)
Ⅰ	1	100.0%

인허가일자
Text

Distinct	5741
Distinct (%)	57.4%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	100000
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3157 ?
Unique (%)	31.6%

Sample

1st row	2015-05-19
2nd row	2002-02-25
3rd row	2006-08-22
4th row	2011-04-01
5th row	1991-07-13

Value	Count	Frequency (%)
2009-03-02	8	0.1%
2017-02-28	8	0.1%
2001-12-03	8	0.1%
2003-03-03	8	0.1%
2010-03-02	8	0.1%
2019-04-12	7	0.1%
2008-03-03	7	0.1%
2010-08-02	7	0.1%
2006-09-01	7	0.1%
2003-09-08	7	0.1%
Other values (5731)	9925	99.2%

Most occurring characters

Value	Count	Frequency (%)
0	25589	25.6%
-	20000	20.0%
2	16949	16.9%
1	13787	13.8%
9	5738	5.7%
3	3955	4.0%
8	3055	3.1%
4	2963	3.0%
5	2705	2.7%
6	2686	2.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	80000	80.0%
Dash Punctuation	20000	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	25589	32.0%
2	16949	21.2%
1	13787	17.2%
9	5738	7.2%
3	3955	4.9%
8	3055	3.8%
4	2963	3.7%
5	2705	3.4%
6	2686	3.4%
7	2573	3.2%

Dash Punctuation

Value	Count	Frequency (%)
-	20000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	100000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	25589	25.6%
-	20000	20.0%
2	16949	16.9%
1	13787	13.8%
9	5738	5.7%
3	3955	4.0%
8	3055	3.1%
4	2963	3.0%
5	2705	2.7%
6	2686	2.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	100000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	25589	25.6%
-	20000	20.0%
2	16949	16.9%
1	13787	13.8%
9	5738	5.7%
3	3955	4.0%
8	3055	3.1%
4	2963	3.0%
5	2705	2.7%
6	2686	2.7%

영업상태명
Categorical

IMBALANCE

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

영업/정상	6231
폐업	3486
영업중	219
취소/말소/만료/정지/중지	47
휴업	17

Length

Max length	14
Median length	5
Mean length	3.9476
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	폐업
2nd row	영업/정상
3rd row	영업/정상
4th row	폐업
5th row	영업/정상

Common Values

Value	Count	Frequency (%)
영업/정상	6231	62.3%
폐업	3486	34.9%
영업중	219	2.2%
취소/말소/만료/정지/중지	47	0.5%
휴업	17	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
영업/정상	6231	62.3%
폐업	3486	34.9%
영업중	219	2.2%
취소/말소/만료/정지/중지	47	0.5%
휴업	17	0.2%

폐업일자
Text

MISSING

Distinct	2587
Distinct (%)	73.5%
Missing	6479
Missing (%)	64.8%
Memory size	156.2 KiB

Length

Max length	10
Median length	10
Mean length	9.805453
Min length	5

Characters and Unicode

Total characters	34525
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1941 ?
Unique (%)	55.1%

Sample

1st row	2016-08-10
2nd row	2019-11-21
3rd row	43312
4th row	2016-11-11
5th row	2011-05-16

Value	Count	Frequency (%)
2009-05-01	7	0.2%
2010-04-01	6	0.2%
2017-07-31	6	0.2%
2016-06-01	6	0.2%
2010-07-01	6	0.2%
2010-05-03	6	0.2%
2021-06-01	6	0.2%
2012-01-30	6	0.2%
2009-08-31	6	0.2%
2010-04-30	5	0.1%
Other values (2577)	3461	98.3%

Most occurring characters

Value	Count	Frequency (%)
0	8926	25.9%
-	6768	19.6%
2	6250	18.1%
1	5284	15.3%
3	1525	4.4%
9	1206	3.5%
4	1013	2.9%
8	957	2.8%
7	896	2.6%
6	867	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	27757	80.4%
Dash Punctuation	6768	19.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	8926	32.2%
2	6250	22.5%
1	5284	19.0%
3	1525	5.5%
9	1206	4.3%
4	1013	3.6%
8	957	3.4%
7	896	3.2%
6	867	3.1%
5	833	3.0%

Dash Punctuation

Value	Count	Frequency (%)
-	6768	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	34525	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	8926	25.9%
-	6768	19.6%
2	6250	18.1%
1	5284	15.3%
3	1525	4.4%
9	1206	3.5%
4	1013	2.9%
8	957	2.8%
7	896	2.6%
6	867	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	34525	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	8926	25.9%
-	6768	19.6%
2	6250	18.1%
1	5284	15.3%
3	1525	4.4%
9	1206	3.5%
4	1013	2.9%
8	957	2.8%
7	896	2.6%
6	867	2.5%

병상수(개)
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	42
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.2703

Minimum	0
Maximum	49
Zeros	8355
Zeros (%)	83.5%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	23
Maximum	49
Range	49
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	7.1379222
Coefficient of variation (CV)	3.1440436
Kurtosis	12.93826
Mean	2.2703
Median Absolute Deviation (MAD)	0
Skewness	3.5773895
Sum	22703
Variance	50.949933
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=42)

Value	Count	Frequency (%)
0	8355	83.5%
1	260	2.6%
29	257	2.6%
2	183	1.8%
3	95	0.9%
4	84	0.8%
6	56	0.6%
28	55	0.5%
9	49	0.5%
10	44	0.4%
Other values (32)	562	5.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	8355	83.5%
1	260	2.6%
2	183	1.8%
3	95	0.9%
4	84	0.8%
5	40	0.4%
6	56	0.6%
7	29	0.3%
8	34	0.3%
9	49	0.5%

Value	Count	Frequency (%)
49	29	0.3%
48	2	< 0.1%
47	2	< 0.1%
46	4	< 0.1%
45	3	< 0.1%
44	2	< 0.1%
43	2	< 0.1%
41	1	< 0.1%
40	1	< 0.1%
38	1	< 0.1%

의료기관종별명
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

의원	10000

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	의원
2nd row	의원
3rd row	의원
4th row	의원
5th row	의원

Common Values

Value	Count	Frequency (%)
의원	10000	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
의원	10000	100.0%

의료인수(명)
Real number (ℝ)

ZEROS

Distinct	42
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.8006

Minimum	0
Maximum	115
Zeros	222
Zeros (%)	2.2%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	4
Maximum	115
Range	115
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	3.0378878
Coefficient of variation (CV)	1.6871531
Kurtosis	361.91086
Mean	1.8006
Median Absolute Deviation (MAD)	0
Skewness	14.67873
Sum	18006
Variance	9.2287625
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=42)

Value	Count	Frequency (%)
1	6737	67.4%
2	1703	17.0%
3	594	5.9%
4	250	2.5%
0	222	2.2%
5	137	1.4%
6	81	0.8%
7	51	0.5%
8	34	0.3%
9	26	0.3%
Other values (32)	165	1.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	222	2.2%
1	6737	67.4%
2	1703	17.0%
3	594	5.9%
4	250	2.5%
5	137	1.4%
6	81	0.8%
7	51	0.5%
8	34	0.3%
9	26	0.3%

Value	Count	Frequency (%)
115	1	< 0.1%
90	1	< 0.1%
65	1	< 0.1%
63	1	< 0.1%
61	1	< 0.1%
52	1	< 0.1%
49	1	< 0.1%
48	1	< 0.1%
47	3	< 0.1%
43	1	< 0.1%

입원실수(개)
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	26
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.789

Minimum	0
Maximum	29
Zeros	8474
Zeros (%)	84.7%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	7
Maximum	29
Range	29
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2.4777597
Coefficient of variation (CV)	3.1403798
Kurtosis	24.429107
Mean	0.789
Median Absolute Deviation (MAD)	0
Skewness	4.309622
Sum	7890
Variance	6.1392929
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
0	8474	84.7%
1	372	3.7%
2	174	1.7%
7	140	1.4%
8	126	1.3%
6	125	1.2%
3	121	1.2%
5	110	1.1%
4	92	0.9%
9	90	0.9%
Other values (16)	176	1.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	8474	84.7%
1	372	3.7%
2	174	1.7%
3	121	1.2%
4	92	0.9%
5	110	1.1%
6	125	1.2%
7	140	1.4%
8	126	1.3%
9	90	0.9%

Value	Count	Frequency (%)
29	5	0.1%
26	2	< 0.1%
23	1	< 0.1%
22	2	< 0.1%
21	1	< 0.1%
20	5	0.1%
19	1	< 0.1%
18	6	0.1%
17	14	0.1%
16	8	0.1%

진료과목내용
Text

Distinct	2034
Distinct (%)	20.3%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	172
Median length	119
Mean length	21.7204
Min length	2

Characters and Unicode

Total characters	217204
Distinct characters	65
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1370 ?
Unique (%)	13.7%

Sample

1st row	내과, 외과, 소아청소년과, 피부과, 비뇨의학과, 가정의학과
2nd row	내과, 외과, 소아청소년과, 이비인후과, 피부과
3rd row	내과, 소아청소년과, 안과, 이비인후과, 피부과
4th row	외과
5th row	피부과, 비뇨의학과

Value	Count	Frequency (%)
내과	6051	15.5%
소아청소년과	4722	12.1%
피부과	4651	11.9%
이비인후과	3572	9.1%
정형외과	3022	7.7%
외과	2211	5.7%
가정의학과	2167	5.5%
비뇨의학과	2138	5.5%
신경외과	1631	4.2%
마취통증의학과	1531	3.9%
Other values (26)	7351	18.8%

Most occurring characters

Value	Count	Frequency (%)
과	39048	18.0%
,	29047	13.4%
	29047	13.4%
소	9445	4.3%
학	8816	4.1%
의	8784	4.0%
외	8279	3.8%
내	6054	2.8%
정	5831	2.7%
부	5768	2.7%
Other values (55)	67085	30.9%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	159110	73.3%
Other Punctuation	29047	13.4%
Space Separator	29047	13.4%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
과	39048	24.5%
소	9445	5.9%
학	8816	5.5%
의	8784	5.5%
외	8279	5.2%
내	6054	3.8%
정	5831	3.7%
부	5768	3.6%
비	5710	3.6%
아	4723	3.0%
Other values (53)	56652	35.6%

Other Punctuation

Value	Count	Frequency (%)
,	29047	100.0%

Space Separator

Value	Count	Frequency (%)
	29047	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	159110	73.3%
Common	58094	26.7%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
과	39048	24.5%
소	9445	5.9%
학	8816	5.5%
의	8784	5.5%
외	8279	5.2%
내	6054	3.8%
정	5831	3.7%
부	5768	3.6%
비	5710	3.6%
아	4723	3.0%
Other values (53)	56652	35.6%

Common

Value	Count	Frequency (%)
,	29047	50.0%
	29047	50.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	159110	73.3%
ASCII	58094	26.7%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
과	39048	24.5%
소	9445	5.9%
학	8816	5.5%
의	8784	5.5%
외	8279	5.2%
내	6054	3.8%
정	5831	3.7%
부	5768	3.6%
비	5710	3.6%
아	4723	3.0%
Other values (53)	56652	35.6%

ASCII

Value	Count	Frequency (%)
,	29047	50.0%
	29047	50.0%

연면적(㎡)
Real number (ℝ)

SKEWED ZEROS

Distinct	6996
Distinct (%)	70.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	379.97211

Minimum	0
Maximum	708970
Zeros	354
Zeros (%)	3.5%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	49.095
Q1	112.02
median	176.955
Q3	319.1325
95-th percentile	761.1335
Maximum	708970
Range	708970
Interquartile range (IQR)	207.1125

Descriptive statistics

Standard deviation	7332.9104
Coefficient of variation (CV)	19.298549
Kurtosis	8740.8333
Mean	379.97211
Median Absolute Deviation (MAD)	81.905
Skewness	91.286585
Sum	3799721.1
Variance	53771574
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.0	354	3.5%
132.0	30	0.3%
1.0	29	0.3%
99.0	24	0.2%
165.0	20	0.2%
126.0	19	0.2%
96.0	16	0.2%
150.0	14	0.1%
120.0	14	0.1%
112.0	13	0.1%
Other values (6986)	9467	94.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	354	3.5%
1.0	29	0.3%
9.55	1	< 0.1%
10.03	1	< 0.1%
11.22	1	< 0.1%
12.16	1	< 0.1%
12.3	1	< 0.1%
14.3	1	< 0.1%
14.34	1	< 0.1%
17.0	1	< 0.1%

Value	Count	Frequency (%)
708970.0	1	< 0.1%
148026.0	1	< 0.1%
83767.0	1	< 0.1%
58056.0	1	< 0.1%
35223.0	1	< 0.1%
23421.0	1	< 0.1%
18076.0	1	< 0.1%
7995.88	2	< 0.1%
7712.0	1	< 0.1%
7329.0	1	< 0.1%

소재지도로명주소
Text

MISSING

Distinct	9076
Distinct (%)	93.0%
Missing	244
Missing (%)	2.4%
Memory size	156.2 KiB

Length

Max length	85
Median length	66
Mean length	34.099118
Min length	13

Characters and Unicode

Total characters	332671
Distinct characters	625
Distinct categories	11 ?
Distinct scripts	3 ?
Distinct blocks	6 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8507 ?
Unique (%)	87.2%

Sample

1st row	경기도 고양시 일산동구 일산로 46, 405호일부호 (백석동, 남정씨티프라자3)
2nd row	경기도 고양시 일산서구 일산로 526, 2,5층 (일산동, 진송빌딩)
3rd row	경기도 부천시 원미구 장말로 294, 2층 (심곡동)
4th row	경기도 부천시 원미구 부일로 753, 5층 (역곡동, 로하스타워)
5th row	경기도 하남시 신평로 49, 5층 (신장동)

Value	Count	Frequency (%)
경기도	9756	14.1%
성남시	1140	1.7%
2층	1109	1.6%
3층	955	1.4%
수원시	948	1.4%
고양시	928	1.3%
용인시	657	1.0%
분당구	649	0.9%
부천시	641	0.9%
안양시	622	0.9%
Other values (8474)	51654	74.8%

Most occurring characters

Value	Count	Frequency (%)
	59370	17.8%
,	12582	3.8%
시	10435	3.1%
동	10402	3.1%
경	10270	3.1%
기	10165	3.1%
도	10042	3.0%
로	9668	2.9%
2	9547	2.9%
1	9508	2.9%
Other values (615)	180682	54.3%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	181865	54.7%
Space Separator	59370	17.8%
Decimal Number	58266	17.5%
Other Punctuation	12708	3.8%
Close Punctuation	8626	2.6%
Open Punctuation	8625	2.6%
Dash Punctuation	1253	0.4%
Uppercase Letter	890	0.3%
Math Symbol	882	0.3%
Lowercase Letter	157	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
시	10435	5.7%
동	10402	5.7%
경	10270	5.6%
기	10165	5.6%
도	10042	5.5%
로	9668	5.3%
구	5944	3.3%
호	5715	3.1%
층	4260	2.3%
양	3396	1.9%
Other values (544)	101568	55.8%

Uppercase Letter

Value	Count	Frequency (%)
A	143	16.1%
B	136	15.3%
C	84	9.4%
S	60	6.7%
M	51	5.7%
I	42	4.7%
T	33	3.7%
E	33	3.7%
L	32	3.6%
D	26	2.9%
Other values (16)	250	28.1%

Lowercase Letter

Value	Count	Frequency (%)
e	45	28.7%
m	13	8.3%
a	13	8.3%
r	11	7.0%
i	11	7.0%
l	10	6.4%
o	9	5.7%
d	8	5.1%
w	7	4.5%
t	7	4.5%
Other values (6)	23	14.6%

Decimal Number

Value	Count	Frequency (%)
2	9547	16.4%
1	9508	16.3%
0	9097	15.6%
3	8398	14.4%
4	5753	9.9%
5	4682	8.0%
6	3426	5.9%
7	2875	4.9%
8	2707	4.6%
9	2273	3.9%

Other Punctuation

Value	Count	Frequency (%)
,	12582	99.0%
.	96	0.8%
/	12	0.1%
·	8	0.1%
&	8	0.1%
@	1	< 0.1%
:	1	< 0.1%

Math Symbol

Value	Count	Frequency (%)
~	871	98.8%
∼	8	0.9%
～	2	0.2%
∥	1	0.1%

Letter Number

Value	Count	Frequency (%)
Ⅱ	11	37.9%
Ⅲ	10	34.5%
Ⅰ	6	20.7%
Ⅳ	2	6.9%

Space Separator

Value	Count	Frequency (%)
	59370	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	8626	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	8625	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1253	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	181865	54.7%
Common	149730	45.0%
Latin	1076	0.3%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
시	10435	5.7%
동	10402	5.7%
경	10270	5.6%
기	10165	5.6%
도	10042	5.5%
로	9668	5.3%
구	5944	3.3%
호	5715	3.1%
층	4260	2.3%
양	3396	1.9%
Other values (544)	101568	55.8%

Latin

Value	Count	Frequency (%)
A	143	13.3%
B	136	12.6%
C	84	7.8%
S	60	5.6%
M	51	4.7%
e	45	4.2%
I	42	3.9%
T	33	3.1%
E	33	3.1%
L	32	3.0%
Other values (36)	417	38.8%

Common

Value	Count	Frequency (%)
	59370	39.7%
,	12582	8.4%
2	9547	6.4%
1	9508	6.4%
0	9097	6.1%
)	8626	5.8%
(	8625	5.8%
3	8398	5.6%
4	5753	3.8%
5	4682	3.1%
Other values (15)	13542	9.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	181864	54.7%
ASCII	150758	45.3%
Number Forms	29	< 0.1%
None	10	< 0.1%
Math Operators	9	< 0.1%
Compat Jamo	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	59370	39.4%
,	12582	8.3%
2	9547	6.3%
1	9508	6.3%
0	9097	6.0%
)	8626	5.7%
(	8625	5.7%
3	8398	5.6%
4	5753	3.8%
5	4682	3.1%
Other values (53)	14570	9.7%

Hangul

Value	Count	Frequency (%)
시	10435	5.7%
동	10402	5.7%
경	10270	5.6%
기	10165	5.6%
도	10042	5.5%
로	9668	5.3%
구	5944	3.3%
호	5715	3.1%
층	4260	2.3%
양	3396	1.9%
Other values (543)	101567	55.8%

Number Forms

Value	Count	Frequency (%)
Ⅱ	11	37.9%
Ⅲ	10	34.5%
Ⅰ	6	20.7%
Ⅳ	2	6.9%

None

Value	Count	Frequency (%)
·	8	80.0%
～	2	20.0%

Math Operators

Value	Count	Frequency (%)
∼	8	88.9%
∥	1	11.1%

Compat Jamo

Value	Count	Frequency (%)
ㆍ	1	100.0%

소재지지번주소
Text

Distinct	8904
Distinct (%)	89.1%
Missing	7
Missing (%)	0.1%
Memory size	156.2 KiB

Length

Max length	68
Median length	56
Mean length	27.67117
Min length	3

Characters and Unicode

Total characters	276518
Distinct characters	600
Distinct categories	11 ?
Distinct scripts	3 ?
Distinct blocks	6 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8102 ?
Unique (%)	81.1%

Sample

1st row	경기도 고양시 일산동구 백석동 1308번지
2nd row	경기도 고양시 일산서구 일산동 1081-1진송빌딩2,5층
3rd row	경기도 부천시 원미구 심곡동 326 2층
4th row	경기도 부천시 원미구 역곡동 111-8번지
5th row	경기도 하남시 신장동 427번지 78호 5층

Value	Count	Frequency (%)
경기도	9808	16.3%
성남시	957	1.6%
수원시	951	1.6%
1호	788	1.3%
고양시	768	1.3%
용인시	701	1.2%
2층	674	1.1%
안양시	642	1.1%
부천시	641	1.1%
안산시	543	0.9%
Other values (9565)	43802	72.7%

Most occurring characters

Value	Count	Frequency (%)
	50586	18.3%
1	10562	3.8%
동	10450	3.8%
시	10372	3.8%
기	10190	3.7%
도	10017	3.6%
경	9931	3.6%
2	8232	3.0%
호	7272	2.6%
지	7234	2.6%
Other values (590)	141672	51.2%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	160342	58.0%
Decimal Number	57687	20.9%
Space Separator	50586	18.3%
Dash Punctuation	3901	1.4%
Other Punctuation	2033	0.7%
Uppercase Letter	815	0.3%
Math Symbol	327	0.1%
Open Punctuation	312	0.1%
Close Punctuation	311	0.1%
Lowercase Letter	172	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
동	10450	6.5%
시	10372	6.5%
기	10190	6.4%
도	10017	6.2%
경	9931	6.2%
호	7272	4.5%
지	7234	4.5%
번	6303	3.9%
구	5941	3.7%
양	3415	2.1%
Other values (512)	79217	49.4%

Uppercase Letter

Value	Count	Frequency (%)
A	113	13.9%
B	102	12.5%
C	76	9.3%
S	64	7.9%
I	47	5.8%
M	43	5.3%
T	34	4.2%
L	34	4.2%
E	32	3.9%
R	29	3.6%
Other values (16)	241	29.6%

Lowercase Letter

Value	Count	Frequency (%)
e	42	24.4%
a	16	9.3%
l	15	8.7%
m	14	8.1%
i	12	7.0%
r	11	6.4%
t	10	5.8%
o	9	5.2%
d	8	4.7%
w	7	4.1%
Other values (10)	28	16.3%

Decimal Number

Value	Count	Frequency (%)
1	10562	18.3%
2	8232	14.3%
3	7194	12.5%
0	6980	12.1%
4	5736	9.9%
5	4862	8.4%
6	4133	7.2%
7	3616	6.3%
8	3398	5.9%
9	2974	5.2%

Other Punctuation

Value	Count	Frequency (%)
,	1669	82.1%
.	322	15.8%
/	15	0.7%
@	9	0.4%
·	8	0.4%
&	8	0.4%
:	2	0.1%

Math Symbol

Value	Count	Frequency (%)
~	318	97.2%
∼	4	1.2%
∥	2	0.6%
+	2	0.6%
～	1	0.3%

Letter Number

Value	Count	Frequency (%)
Ⅲ	12	37.5%
Ⅱ	11	34.4%
Ⅰ	7	21.9%
Ⅳ	2	6.2%

Open Punctuation

Value	Count	Frequency (%)
(	311	99.7%
[	1	0.3%

Close Punctuation

Value	Count	Frequency (%)
)	310	99.7%
]	1	0.3%

Space Separator

Value	Count	Frequency (%)
	50586	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3901	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	160342	58.0%
Common	115157	41.6%
Latin	1019	0.4%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
동	10450	6.5%
시	10372	6.5%
기	10190	6.4%
도	10017	6.2%
경	9931	6.2%
호	7272	4.5%
지	7234	4.5%
번	6303	3.9%
구	5941	3.7%
양	3415	2.1%
Other values (512)	79217	49.4%

Latin

Value	Count	Frequency (%)
A	113	11.1%
B	102	10.0%
C	76	7.5%
S	64	6.3%
I	47	4.6%
M	43	4.2%
e	42	4.1%
T	34	3.3%
L	34	3.3%
E	32	3.1%
Other values (40)	432	42.4%

Common

Value	Count	Frequency (%)
	50586	43.9%
1	10562	9.2%
2	8232	7.1%
3	7194	6.2%
0	6980	6.1%
4	5736	5.0%
5	4862	4.2%
6	4133	3.6%
-	3901	3.4%
7	3616	3.1%
Other values (18)	9355	8.1%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	160341	58.0%
ASCII	116129	42.0%
Number Forms	32	< 0.1%
None	9	< 0.1%
Math Operators	6	< 0.1%
Compat Jamo	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	50586	43.6%
1	10562	9.1%
2	8232	7.1%
3	7194	6.2%
0	6980	6.0%
4	5736	4.9%
5	4862	4.2%
6	4133	3.6%
-	3901	3.4%
7	3616	3.1%
Other values (60)	10327	8.9%

Hangul

Value	Count	Frequency (%)
동	10450	6.5%
시	10372	6.5%
기	10190	6.4%
도	10017	6.2%
경	9931	6.2%
호	7272	4.5%
지	7234	4.5%
번	6303	3.9%
구	5941	3.7%
양	3415	2.1%
Other values (511)	79216	49.4%

Number Forms

Value	Count	Frequency (%)
Ⅲ	12	37.5%
Ⅱ	11	34.4%
Ⅰ	7	21.9%
Ⅳ	2	6.2%

None

Value	Count	Frequency (%)
·	8	88.9%
～	1	11.1%

Math Operators

Value	Count	Frequency (%)
∼	4	66.7%
∥	2	33.3%

Compat Jamo

Value	Count	Frequency (%)
ㅎ	1	100.0%

소재지우편번호
Text

MISSING

Distinct	2440
Distinct (%)	24.7%
Missing	125
Missing (%)	1.2%
Memory size	156.2 KiB

Length

Max length	7
Median length	5
Mean length	5.1644557
Min length	5

Characters and Unicode

Total characters	50999
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	959 ?
Unique (%)	9.7%

Sample

1st row	10449
2nd row	10374
3rd row	14615
4th row	14670
5th row	12968

Value	Count	Frequency (%)
14072	75	0.8%
13591	54	0.5%
15865	52	0.5%
15360	50	0.5%
10500	48	0.5%
14001	47	0.5%
10071	40	0.4%
12913	40	0.4%
13618	39	0.4%
16490	36	0.4%
Other values (2430)	9394	95.1%

Most occurring characters

Value	Count	Frequency (%)
1	12902	25.3%
4	5472	10.7%
0	4879	9.6%
3	4401	8.6%
5	4396	8.6%
6	4233	8.3%
2	3895	7.6%
8	3829	7.5%
7	3103	6.1%
9	3077	6.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	50187	98.4%
Dash Punctuation	812	1.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	12902	25.7%
4	5472	10.9%
0	4879	9.7%
3	4401	8.8%
5	4396	8.8%
6	4233	8.4%
2	3895	7.8%
8	3829	7.6%
7	3103	6.2%
9	3077	6.1%

Dash Punctuation

Value	Count	Frequency (%)
-	812	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	50999	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	12902	25.3%
4	5472	10.7%
0	4879	9.6%
3	4401	8.6%
5	4396	8.6%
6	4233	8.3%
2	3895	7.6%
8	3829	7.5%
7	3103	6.1%
9	3077	6.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50999	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	12902	25.3%
4	5472	10.7%
0	4879	9.6%
3	4401	8.6%
5	4396	8.6%
6	4233	8.3%
2	3895	7.6%
8	3829	7.5%
7	3103	6.1%
9	3077	6.0%

WGS84위도
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	5344
Distinct (%)	54.5%
Missing	196
Missing (%)	2.0%
Infinite	0
Infinite (%)	0.0%
Mean	37.4306

Minimum	36.957859
Maximum	38.185874
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	36.957859
5-th percentile	37.130416
Q1	37.297359
median	37.397726
Q3	37.600519
95-th percentile	37.741681
Maximum	38.185874
Range	1.2280147
Interquartile range (IQR)	0.30315956

Descriptive statistics

Standard deviation	0.19331939
Coefficient of variation (CV)	0.0051647418
Kurtosis	-0.14981121
Mean	37.4306
Median Absolute Deviation (MAD)	0.11908354
Skewness	0.17095607
Sum	366969.6
Variance	0.037372385
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
37.6583803846	15	0.1%
37.670269954	14	0.1%
37.3895629286	13	0.1%
37.4105911732	13	0.1%
37.4407276083	13	0.1%
37.6016040175	13	0.1%
37.6544911474	12	0.1%
37.4797489054	12	0.1%
37.4088196883	12	0.1%
37.4727049587	12	0.1%
Other values (5334)	9675	96.8%
(Missing)	196	2.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
36.957859111	1	< 0.1%
36.9608455198	1	< 0.1%
36.9611007482	1	< 0.1%
36.961232959	1	< 0.1%
36.9632453036	2	< 0.1%
36.9636418107	1	< 0.1%
36.9644052069	4	< 0.1%
36.9647315893	1	< 0.1%
36.9772202616	1	< 0.1%
36.9777827658	1	< 0.1%

Value	Count	Frequency (%)
38.1858737821	1	< 0.1%
38.1006166517	1	< 0.1%
38.0991918519	1	< 0.1%
38.0910739209	2	< 0.1%
38.0905784202	1	< 0.1%
38.0898836317	1	< 0.1%
38.0350477269	1	< 0.1%
38.0301930006	3	< 0.1%
38.0295532014	3	< 0.1%
38.027602793	2	< 0.1%

WGS84경도
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	5344
Distinct (%)	54.5%
Missing	196
Missing (%)	2.0%
Infinite	0
Infinite (%)	0.0%
Mean	126.99174

Minimum	126.58437
Maximum	127.75348
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	126.58437
5-th percentile	126.74585
Q1	126.83589
median	127.01649
Q3	127.11356
95-th percentile	127.23702
Maximum	127.75348
Range	1.1691123
Interquartile range (IQR)	0.27766812

Descriptive statistics

Standard deviation	0.17185326
Coefficient of variation (CV)	0.0013532632
Kurtosis	0.0911386
Mean	126.99174
Median Absolute Deviation (MAD)	0.12379137
Skewness	0.26517725
Sum	1245027.1
Variance	0.029533542
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
126.7733747675	15	0.1%
126.7619424818	14	0.1%
126.9522508622	13	0.1%
127.1282185032	13	0.1%
127.1322295113	13	0.1%
127.1416462706	13	0.1%
127.2441040616	12	0.1%
126.8549017071	12	0.1%
127.2584226123	12	0.1%
127.1429411379	12	0.1%
Other values (5334)	9675	96.8%
(Missing)	196	2.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
126.5843682181	1	< 0.1%
126.5855969115	1	< 0.1%
126.5856269206	2	< 0.1%
126.5864818952	1	< 0.1%
126.5877251202	2	< 0.1%
126.5976057487	1	< 0.1%
126.5980669099	1	< 0.1%
126.5981243903	1	< 0.1%
126.5984311406	1	< 0.1%
126.5986406181	1	< 0.1%

Value	Count	Frequency (%)
127.7534805079	2	< 0.1%
127.7523161653	1	< 0.1%
127.6399559232	1	< 0.1%
127.6333088286	2	< 0.1%
127.6332866478	3	< 0.1%
127.6322285834	1	< 0.1%
127.6316118408	1	< 0.1%
127.6313169599	1	< 0.1%
127.6310460306	1	< 0.1%
127.6297270919	1	< 0.1%

Heatmap
Table

	시군명	영업상태명	병상수(개)	의료인수(명)	입원실수(개)	연면적(㎡)	WGS84위도	WGS84경도
시군명	1.000	0.361	0.138	0.092	0.141	0.120	0.950	0.904
영업상태명	0.361	1.000	0.207	0.062	0.181	0.000	0.119	0.140
병상수(개)	0.138	0.207	1.000	0.081	0.658	0.000	0.070	0.094
의료인수(명)	0.092	0.062	0.081	1.000	0.181	0.000	0.000	0.000
입원실수(개)	0.141	0.181	0.658	0.181	1.000	0.000	0.065	0.140
연면적(㎡)	0.120	0.000	0.000	0.000	0.000	1.000	0.000	0.000
WGS84위도	0.950	0.119	0.070	0.000	0.065	0.000	1.000	0.623
WGS84경도	0.904	0.140	0.094	0.000	0.140	0.000	0.623	1.000

Heatmap
Table

	시군명	영업상태명
시군명	1.000	0.180
영업상태명	0.180	1.000

Heatmap
Table

	병상수(개)	의료인수(명)	입원실수(개)	연면적(㎡)	WGS84위도	WGS84경도	시군명	영업상태명
병상수(개)	1.000	0.184	0.945	0.396	0.015	-0.022	0.052	0.121
의료인수(명)	0.184	1.000	0.192	0.416	-0.005	0.034	0.032	0.038
입원실수(개)	0.945	0.192	1.000	0.394	-0.005	-0.005	0.050	0.076
연면적(㎡)	0.396	0.416	0.394	1.000	-0.014	-0.003	0.057	0.000
WGS84위도	0.015	-0.005	-0.005	-0.014	1.000	-0.206	0.736	0.050
WGS84경도	-0.022	0.034	-0.005	-0.003	-0.206	1.000	0.609	0.059
시군명	0.052	0.032	0.050	0.057	0.736	0.609	1.000	0.180
영업상태명	0.121	0.038	0.076	0.000	0.050	0.059	0.180	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	시군명	사업장명	인허가일자	영업상태명	폐업일자	병상수(개)	의료기관종별명	의료인수(명)	입원실수(개)	진료과목내용	연면적(㎡)	소재지도로명주소	소재지지번주소	소재지우편번호	WGS84위도	WGS84경도
846	고양시	투인원의원	2015-05-19	폐업	2016-08-10	0	의원	1	0	내과, 외과, 소아청소년과, 피부과, 비뇨의학과, 가정의학과	143.6	경기도 고양시 일산동구 일산로 46, 405호일부호 (백석동, 남정씨티프라자3)	경기도 고양시 일산동구 백석동 1308번지	10449	37.642344	126.787904
675	고양시	연세쿰내과의원	2002-02-25	영업/정상	<NA>	0	의원	1	0	내과, 외과, 소아청소년과, 이비인후과, 피부과	379.72	경기도 고양시 일산서구 일산로 526, 2,5층 (일산동, 진송빌딩)	경기도 고양시 일산서구 일산동 1081-1진송빌딩2,5층	10374	37.677276	126.769607
4012	부천시	이수용소아청소년과의원	2006-08-22	영업/정상	<NA>	0	의원	1	0	내과, 소아청소년과, 안과, 이비인후과, 피부과	98.22	경기도 부천시 원미구 장말로 294, 2층 (심곡동)	경기도 부천시 원미구 심곡동 326 2층	14615	37.491199	126.774635
4652	부천시	역곡항도외과의원	2011-04-01	폐업	2019-11-21	8	의원	1	4	외과	314.84	경기도 부천시 원미구 부일로 753, 5층 (역곡동, 로하스타워)	경기도 부천시 원미구 역곡동 111-8번지	14670	37.486662	126.813285
11855	하남시	이호연비뇨기과의원	1991-07-13	영업/정상	<NA>	0	의원	1	0	피부과, 비뇨의학과	51.57	경기도 하남시 신평로 49, 5층 (신장동)	경기도 하남시 신장동 427번지 78호 5층	12968	37.538269	127.204534
12132	화성시	메타폴리스내과의원	2015-03-16	영업/정상	<NA>	0	의원	2	0	내과, 이비인후과	107.8	경기도 화성시 동탄중앙로 200, B동 3층 312-2호 (반송동, 메타폴리스)	경기도 화성시 반송동 98번지	18445	37.202409	127.06803
5053	성남시	굿모닝가정의원	2006-05-29	영업/정상	<NA>	0	의원	1	0	내과, 소아청소년과, 가정의학과	119.89	경기도 성남시 중원구 광명로323번길 4, 2층 (금광동)	경기도 성남시 중원구 금광동 3702 2층 일부	13177	37.445512	127.16186
10476	의정부시	연세바른의원	2017-01-13	영업/정상	<NA>	0	의원	2	0	내과, 정형외과, 신경외과, 마취통증의학과, 피부과	259.7	경기도 의정부시 평화로 375, 3층 305, 306호 (호원동, 회룡프라자)	경기도 의정부시 호원동 426번지	11704	37.725378	127.047887
12459	화성시	씨엘산부인과의원	1994-12-26	영업/정상	<NA>	9	의원	2	6	산부인과	778.24	경기도 화성시 향남읍 삼천병마로 230	경기도 화성시 향남읍평리 38-9	18592	37.13348	126.911309
3418	남양주	오성주내과의원	2005-11-28	영업/정상	<NA>	0	의원	1	0	내과, 소아청소년과, 이비인후과	34.1	경기도 남양주시 미금로 194-1, 203-1호 (다산동, 부영그린타운분산상가동)	경기도 남양주시 다산동 4002-32번지 부영그린타운분산상가동 203-1호	12251	37.613426	127.161724

	시군명	사업장명	인허가일자	영업상태명	폐업일자	병상수(개)	의료기관종별명	의료인수(명)	입원실수(개)	진료과목내용	연면적(㎡)	소재지도로명주소	소재지지번주소	소재지우편번호	WGS84위도	WGS84경도
5482	성남시	성이비인후과의원	1996-06-25	영업/정상	<NA>	0	의원	1	0	이비인후과	69.94	경기도 성남시 분당구 미금로 44, 3층 (구미동, 국민프라자)	경기도 성남시분당구 구미동 205번지 3호 국민프라자 3층	13626	37.337308	127.116523
8762	연천군	준 정신건강의학과 의원	2023-12-06	영업/정상	<NA>	0	의원	1	0	신경과, 정신건강의학과	152.65	경기도 연천군 전곡읍 전곡로161번길 9, 2층 (영도플라자)	경기도 연천군 전곡읍 전곡리 480-35 영도플라자	11028	38.026188	127.067294
6325	시흥시	베스트내과의원	2009-02-03	영업/정상	<NA>	0	의원	2	0	내과, 소아청소년과, 이비인후과, 피부과, 영상의학과	201.77	경기도 시흥시 승지로60번길 25, 201~202호 (능곡동, 송죽센타프라자)	경기도 시흥시 능곡동 762번지 송죽센터프라자 201, 202호	14995	37.367992	126.812267
11355	평택시	최유상소아청소년과의원	1992-01-31	영업/정상	<NA>	0	의원	1	0	소아청소년과	118.4	경기도 평택시 평택로32번길 22 (평택동)	경기도 평택시 평택동	17912	36.99101	127.089051
3850	부천시	원스의원	2015-12-21	영업/정상	<NA>	0	의원	1	0	성형외과, 피부과	189.0	경기도 수원시 팔달구 효원로 265 (인계동)	<NA>	16479	<NA>	<NA>
9309	용인시	연세행복내과의원	2022-09-07	영업/정상	<NA>	0	의원	3	0	내과, 신경과, 정신건강의학과, 소아청소년과, 피부과, 비뇨의학과, 영상의학과, 진단검사의학과, 결핵과, 가정의학과, 예방의학과	334.17	경기도 용인시 처인구 금령로 86, 2층 206~209호 (김량장동)	경기도 용인시 처인구 김량장동 301-3 2층 206~209호	17051	37.235084	127.205822
11233	평택시	미소아과의원	2006-10-18	영업/정상	<NA>	0	의원	1	0	소아청소년과	162.5	경기도 평택시 이충로35번길 20-9, 302,303호 (이충동, 센타프라자)	경기도 평택시 이충동 664-8 센타프라자 302,303호	17735	37.060331	127.066452
10740	이천시	송정가정의학과의원	2006-05-12	폐업	2010-08-12	0	의원	1	0	내과, 가정의학과	265.4	경기도 이천시 증신로291번길 106 (송정동)	경기도 이천시 송정동 315번지	17344	37.295717	127.434729
8749	여주시	분당서울외과의원	1997-10-06	영업/정상	<NA>	5	의원	1	3	외과	214.77	경기도 성남시 분당구 황새울로258번길 36, 403호 (수내동, 광진프라자)	경기도 성남시 분당구 수내1동 7번지 8호 광진프라자 403호	13595	37.379183	127.115746
10383	의정부시	예일항외과의원	1999-06-01	영업/정상	<NA>	3	의원	1	3	내과, 외과, 정형외과, 소아청소년과, 피부과	200.7	경기도 의정부시 평화로 540, 5층 502호 (의정부동)	경기도 의정부시 의정부동 196번지 12호	11695	37.74006	127.047764

Most frequently occurring

	시군명	사업장명	인허가일자	영업상태명	폐업일자	병상수(개)	의료기관종별명	의료인수(명)	입원실수(개)	진료과목내용	연면적(㎡)	소재지도로명주소	소재지지번주소	소재지우편번호	WGS84위도	WGS84경도	# duplicates
0	고양시	고양복지의료소비자생활협동조합꽃보다아름다운의원	2015-08-10	폐업	2024-02-29	0	의원	6	0	내과, 가정의학과	621.9	경기도 고양시 일산동구 고봉로 278, 2~3층 (중산동, 성창빌딩)	경기도 고양시 일산동구 중산동 1662번지 8호 성창빌딩 2~3층	10338	37.684097	126.778125	2
1	안산시	최비뇨기과의원	1994-01-24	폐업	2024-03-01	0	의원	1	0	성형외과, 피부과, 비뇨의학과	113.0	경기도 안산시 상록구 용신로 393, 305호 (본오동, 청암빌딩)	경기도 안산시 상록구 본오동 874번지 8호 청암빌딩 305호	15532	37.301887	126.865914	2

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Lowercase Letter

Decimal Number

Other Punctuation

Space Separator

Close Punctuation

Open Punctuation

Dash Punctuation

Letter Number

Most occurring scripts

Most frequent character per script

Hangul

Latin

Common

Han

Most occurring blocks

Most frequent character per block

Hangul

ASCII

None

CJK

Number Forms

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Other Punctuation

Space Separator

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Lowercase Letter

Decimal Number

Other Punctuation