Overview

Dataset statistics

Number of variables6
Number of observations194
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.4 KiB
Average record size in memory49.7 B

Variable types

Numeric1
Text3
Categorical1
DateTime1

Dataset

Description인천광역시 남동구 치과현황에 대한 데이터입니다. 항목으로는 연번, 지점명, 유형, 위치, 연락처을 개방합니다.(예시 : 1, 남동구치과, 치과의원, 인천광역시 남동구 구월동, 032-000-0000)
Author인천광역시 남동구
URLhttps://www.data.go.kr/data/15068091/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
유형 is highly imbalanced (95.3%)Imbalance
연번 has unique valuesUnique
위치 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:14:43.664532
Analysis finished2023-12-12 13:14:44.255245
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct194
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.5
Minimum1
Maximum194
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T22:14:44.351980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.65
Q149.25
median97.5
Q3145.75
95-th percentile184.35
Maximum194
Range193
Interquartile range (IQR)96.5

Descriptive statistics

Standard deviation56.147128
Coefficient of variation (CV)0.57586798
Kurtosis-1.2
Mean97.5
Median Absolute Deviation (MAD)48.5
Skewness0
Sum18915
Variance3152.5
MonotonicityStrictly increasing
2023-12-12T22:14:44.522187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
147 1
 
0.5%
125 1
 
0.5%
126 1
 
0.5%
127 1
 
0.5%
128 1
 
0.5%
129 1
 
0.5%
130 1
 
0.5%
131 1
 
0.5%
132 1
 
0.5%
Other values (184) 184
94.8%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
194 1
0.5%
193 1
0.5%
192 1
0.5%
191 1
0.5%
190 1
0.5%
189 1
0.5%
188 1
0.5%
187 1
0.5%
186 1
0.5%
185 1
0.5%
Distinct193
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T22:14:44.766157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length8.0721649
Min length5

Characters and Unicode

Total characters1566
Distinct characters222
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

Unique192 ?
Unique (%)99.0%

Sample

1st row서울정플란트치과의원
2nd row서울올리브치과의원
3rd row연세이룸치과의원
4th row구월의치과의원
5th row이(e)-밝은치과의원
ValueCountFrequency (%)
행복한치과의원 2
 
1.0%
샘모아치과의원 1
 
0.5%
간석굿모닝치과의원 1
 
0.5%
서민치과의원 1
 
0.5%
남촌치과의원 1
 
0.5%
두리치과의원 1
 
0.5%
프라임치과의원 1
 
0.5%
연세고운미소치과의원 1
 
0.5%
안경모치과의원 1
 
0.5%
물방울치과의원 1
 
0.5%
Other values (185) 185
94.4%
2023-12-12T22:14:45.190114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
212
 
13.5%
203
 
13.0%
200
 
12.8%
196
 
12.5%
29
 
1.9%
27
 
1.7%
26
 
1.7%
26
 
1.7%
19
 
1.2%
18
 
1.1%
Other values (212) 610
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1554
99.2%
Decimal Number 3
 
0.2%
Space Separator 2
 
0.1%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Uppercase Letter 1
 
0.1%
Dash Punctuation 1
 
0.1%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
212
 
13.6%
203
 
13.1%
200
 
12.9%
196
 
12.6%
29
 
1.9%
27
 
1.7%
26
 
1.7%
26
 
1.7%
19
 
1.2%
18
 
1.2%
Other values (203) 598
38.5%
Decimal Number
ValueCountFrequency (%)
5 1
33.3%
6 1
33.3%
3 1
33.3%
Space Separator
ValueCountFrequency (%)
2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1554
99.2%
Common 10
 
0.6%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
212
 
13.6%
203
 
13.1%
200
 
12.9%
196
 
12.6%
29
 
1.9%
27
 
1.7%
26
 
1.7%
26
 
1.7%
19
 
1.2%
18
 
1.2%
Other values (203) 598
38.5%
Common
ValueCountFrequency (%)
2
20.0%
) 2
20.0%
( 2
20.0%
5 1
10.0%
6 1
10.0%
3 1
10.0%
- 1
10.0%
Latin
ValueCountFrequency (%)
S 1
50.0%
e 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1554
99.2%
ASCII 12
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
212
 
13.6%
203
 
13.1%
200
 
12.9%
196
 
12.6%
29
 
1.9%
27
 
1.7%
26
 
1.7%
26
 
1.7%
19
 
1.2%
18
 
1.2%
Other values (203) 598
38.5%
ASCII
ValueCountFrequency (%)
2
16.7%
) 2
16.7%
( 2
16.7%
S 1
8.3%
5 1
8.3%
6 1
8.3%
3 1
8.3%
- 1
8.3%
e 1
8.3%

유형
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
치과의원
193 
치과병원
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
치과의원 193
99.5%
치과병원 1
 
0.5%

Length

2023-12-12T22:14:45.354235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:14:45.452075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
치과의원 193
99.5%
치과병원 1
 
0.5%

위치
Text

UNIQUE 

Distinct194
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T22:14:45.768116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length47
Mean length35.505155
Min length22

Characters and Unicode

Total characters6888
Distinct characters213
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

Unique194 ?
Unique (%)100.0%

Sample

1st row인천광역시 남동구 호구포로 220, 명진프라자 6층 601호 602호 (논현동)
2nd row인천광역시 남동구 남동대로 880, 올리브백화점 C동 1층 일부(151호~157호 포함)호 (간석동)
3rd row인천광역시 남동구 서창남로 81, 투엠프라자 4층 402, 403호 (서창동)
4th row인천광역시 남동구 호구포로 818, 퍼스트하임프라자 402,403호 (구월동)
5th row인천광역시 남동구 석산로141번길 1, 대성프라자 3층 301호 (간석동)
ValueCountFrequency (%)
인천광역시 194
 
14.6%
남동구 194
 
14.6%
구월동 70
 
5.3%
만수동 38
 
2.9%
간석동 33
 
2.5%
논현동 31
 
2.3%
2층 28
 
2.1%
3층 26
 
2.0%
4층 17
 
1.3%
5층 16
 
1.2%
Other values (413) 686
51.5%
2023-12-12T22:14:46.310846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1139
 
16.5%
420
 
6.1%
306
 
4.4%
, 300
 
4.4%
241
 
3.5%
226
 
3.3%
199
 
2.9%
198
 
2.9%
) 196
 
2.8%
196
 
2.8%
Other values (203) 3467
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3861
56.1%
Decimal Number 1163
 
16.9%
Space Separator 1139
 
16.5%
Other Punctuation 301
 
4.4%
Close Punctuation 196
 
2.8%
Open Punctuation 196
 
2.8%
Dash Punctuation 16
 
0.2%
Uppercase Letter 10
 
0.1%
Math Symbol 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
420
 
10.9%
306
 
7.9%
241
 
6.2%
226
 
5.9%
199
 
5.2%
198
 
5.1%
196
 
5.1%
196
 
5.1%
195
 
5.1%
142
 
3.7%
Other values (181) 1542
39.9%
Decimal Number
ValueCountFrequency (%)
2 196
16.9%
0 172
14.8%
1 168
14.4%
3 155
13.3%
4 117
10.1%
5 99
8.5%
8 80
6.9%
7 70
 
6.0%
6 61
 
5.2%
9 45
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
A 5
50.0%
C 2
 
20.0%
D 1
 
10.0%
V 1
 
10.0%
G 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 300
99.7%
. 1
 
0.3%
Space Separator
ValueCountFrequency (%)
1139
100.0%
Close Punctuation
ValueCountFrequency (%)
) 196
100.0%
Open Punctuation
ValueCountFrequency (%)
( 196
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3861
56.1%
Common 3017
43.8%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
420
 
10.9%
306
 
7.9%
241
 
6.2%
226
 
5.9%
199
 
5.2%
198
 
5.1%
196
 
5.1%
196
 
5.1%
195
 
5.1%
142
 
3.7%
Other values (181) 1542
39.9%
Common
ValueCountFrequency (%)
1139
37.8%
, 300
 
9.9%
) 196
 
6.5%
2 196
 
6.5%
( 196
 
6.5%
0 172
 
5.7%
1 168
 
5.6%
3 155
 
5.1%
4 117
 
3.9%
5 99
 
3.3%
Other values (7) 279
 
9.2%
Latin
ValueCountFrequency (%)
A 5
50.0%
C 2
 
20.0%
D 1
 
10.0%
V 1
 
10.0%
G 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3861
56.1%
ASCII 3027
43.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1139
37.6%
, 300
 
9.9%
) 196
 
6.5%
2 196
 
6.5%
( 196
 
6.5%
0 172
 
5.7%
1 168
 
5.6%
3 155
 
5.1%
4 117
 
3.9%
5 99
 
3.3%
Other values (12) 289
 
9.5%
Hangul
ValueCountFrequency (%)
420
 
10.9%
306
 
7.9%
241
 
6.2%
226
 
5.9%
199
 
5.2%
198
 
5.1%
196
 
5.1%
196
 
5.1%
195
 
5.1%
142
 
3.7%
Other values (181) 1542
39.9%

연락처
Text

UNIQUE 

Distinct194
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T22:14:46.662655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters2328
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

Unique194 ?
Unique (%)100.0%

Sample

1st row032-431-2275
2nd row032-425-2275
3rd row032-283-2828
4th row032-472-8575
5th row032-446-2828
ValueCountFrequency (%)
032-431-2275 1
 
0.5%
032-437-7400 1
 
0.5%
032-427-2828 1
 
0.5%
032-468-9786 1
 
0.5%
032-464-2244 1
 
0.5%
032-463-1176 1
 
0.5%
032-432-2000 1
 
0.5%
032-425-2828 1
 
0.5%
032-469-2811 1
 
0.5%
032-423-2875 1
 
0.5%
Other values (184) 184
94.8%
2023-12-12T22:14:47.148596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 514
22.1%
- 388
16.7%
3 274
11.8%
0 261
11.2%
4 216
9.3%
8 183
 
7.9%
7 162
 
7.0%
5 114
 
4.9%
6 95
 
4.1%
1 73
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1940
83.3%
Dash Punctuation 388
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 514
26.5%
3 274
14.1%
0 261
13.5%
4 216
11.1%
8 183
 
9.4%
7 162
 
8.4%
5 114
 
5.9%
6 95
 
4.9%
1 73
 
3.8%
9 48
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 388
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2328
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 514
22.1%
- 388
16.7%
3 274
11.8%
0 261
11.2%
4 216
9.3%
8 183
 
7.9%
7 162
 
7.0%
5 114
 
4.9%
6 95
 
4.1%
1 73
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2328
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 514
22.1%
- 388
16.7%
3 274
11.8%
0 261
11.2%
4 216
9.3%
8 183
 
7.9%
7 162
 
7.0%
5 114
 
4.9%
6 95
 
4.1%
1 73
 
3.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2023-09-11 00:00:00
Maximum2023-09-11 00:00:00
2023-12-12T22:14:47.299754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:14:47.429549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T22:14:43.963954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:14:47.516343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번유형
연번1.0000.000
유형0.0001.000
2023-12-12T22:14:47.610514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번유형
연번1.0000.000
유형0.0001.000

Missing values

2023-12-12T22:14:44.100815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:14:44.207063image/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

연번지점명유형위치연락처데이터기준일자
01서울정플란트치과의원치과의원인천광역시 남동구 호구포로 220, 명진프라자 6층 601호 602호 (논현동)032-431-22752023-09-11
12서울올리브치과의원치과의원인천광역시 남동구 남동대로 880, 올리브백화점 C동 1층 일부(151호~157호 포함)호 (간석동)032-425-22752023-09-11
23연세이룸치과의원치과의원인천광역시 남동구 서창남로 81, 투엠프라자 4층 402, 403호 (서창동)032-283-28282023-09-11
34구월의치과의원치과의원인천광역시 남동구 호구포로 818, 퍼스트하임프라자 402,403호 (구월동)032-472-85752023-09-11
45이(e)-밝은치과의원치과의원인천광역시 남동구 석산로141번길 1, 대성프라자 3층 301호 (간석동)032-446-28282023-09-11
56라인플란트치과의원치과의원인천광역시 남동구 구월남로 172, 5층 501호 (구월동)032-710-28812023-09-11
67감동플란트치과의원치과의원인천광역시 남동구 호구포로 798, 2층 가호 (구월동)032-471-28792023-09-11
78치유치과의원치과의원인천광역시 남동구 인주대로 664, 메인프라자 2차 4층 403호 (구월동)032-472-28752023-09-11
89셉템버치과교정과치과의원치과의원인천광역시 남동구 예술로140번길 33, 화성빌딩 5층 (구월동)032-421-28422023-09-11
910서울바른정치과의원치과의원인천광역시 남동구 담방로47번길 2, 2층 (만수동)032-461-28282023-09-11
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