Overview

Dataset statistics

Number of variables14
Number of observations290
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.1 KiB
Average record size in memory113.5 B

Variable types

Numeric1
Text3
Categorical10

Dataset

Description인천광역시 서구의 건강검진기관 현황(구분(의원, 종합병원, 대학병원, 장애인검진기관), 검진기관명,<br/>도로명주소, 연락처, 건강검진 종류(일반검진, 구강검진, 암검진,영유아 등))입니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15081669&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일 has constant value ""Constant
구강검진 is highly overall correlated with 일반검진 and 7 other fieldsHigh correlation
위암 is highly overall correlated with 연번 and 8 other fieldsHigh correlation
유방암 is highly overall correlated with 연번 and 8 other fieldsHigh correlation
자궁경부암 is highly overall correlated with 연번 and 8 other fieldsHigh correlation
일반검진 is highly overall correlated with 위암 and 7 other fieldsHigh correlation
영유아검진 is highly overall correlated with 연번 and 8 other fieldsHigh correlation
간암 is highly overall correlated with 연번 and 8 other fieldsHigh correlation
대장암 is highly overall correlated with 연번 and 8 other fieldsHigh correlation
폐암 is highly overall correlated with 연번 and 8 other fieldsHigh correlation
연번 is highly overall correlated with 위암 and 6 other fieldsHigh correlation
폐암 is highly imbalanced (87.4%)Imbalance
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-18 03:31:45.069830
Analysis finished2024-03-18 03:31:46.434944
Duration1.37 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct290
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean145.5
Minimum1
Maximum290
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-03-18T12:31:46.520608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15.45
Q173.25
median145.5
Q3217.75
95-th percentile275.55
Maximum290
Range289
Interquartile range (IQR)144.5

Descriptive statistics

Standard deviation83.860002
Coefficient of variation (CV)0.5763574
Kurtosis-1.2
Mean145.5
Median Absolute Deviation (MAD)72.5
Skewness0
Sum42195
Variance7032.5
MonotonicityStrictly increasing
2024-03-18T12:31:46.675315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
219 1
 
0.3%
199 1
 
0.3%
198 1
 
0.3%
197 1
 
0.3%
196 1
 
0.3%
195 1
 
0.3%
194 1
 
0.3%
193 1
 
0.3%
192 1
 
0.3%
Other values (280) 280
96.6%
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 (%)
290 1
0.3%
289 1
0.3%
288 1
0.3%
287 1
0.3%
286 1
0.3%
285 1
0.3%
284 1
0.3%
283 1
0.3%
282 1
0.3%
281 1
0.3%

검진기관명
Text

Distinct276
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-03-18T12:31:46.904150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length16
Mean length8.0689655
Min length4

Characters and Unicode

Total characters2340
Distinct characters242
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique263 ?
Unique (%)90.7%

Sample

1st row안대남치과의원
2nd row세계로치과의원
3rd row이편한치과의원
4th row플러스치과의원
5th row해민치과의원
ValueCountFrequency (%)
청라연세어린이병원 3
 
1.0%
데일리치과의원 2
 
0.7%
청라여성병원 2
 
0.7%
임내과의원 2
 
0.7%
이사랑부부치과의원 2
 
0.7%
청라리더스치과의원 2
 
0.7%
온누리병원 2
 
0.7%
맑은미소치과의원 2
 
0.7%
킹소아청소년과의원 2
 
0.7%
우리미래소아청소년과의원 2
 
0.7%
Other values (270) 274
92.9%
2024-03-18T12:31:47.210081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 297
 
12.7%
의 280
 
12.0%
과 261
 
11.2%
치 158
 
6.8%
소 76
 
3.2%
청 58
 
2.5%
아 54
 
2.3%
이 44
 
1.9%
세 43
 
1.8%
내 42
 
1.8%
Other values (232) 1027
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2307
98.6%
Decimal Number 11
 
0.5%
Uppercase Letter 6
 
0.3%
Space Separator 5
 
0.2%
Open Punctuation 5
 
0.2%
Close Punctuation 5
 
0.2%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 297
 
12.9%
의 280
 
12.1%
과 261
 
11.3%
치 158
 
6.8%
소 76
 
3.3%
청 58
 
2.5%
아 54
 
2.3%
이 44
 
1.9%
세 43
 
1.9%
내 42
 
1.8%
Other values (217) 994
43.1%
Uppercase Letter
ValueCountFrequency (%)
F 1
16.7%
B 1
16.7%
E 1
16.7%
S 1
16.7%
J 1
16.7%
M 1
16.7%
Decimal Number
ValueCountFrequency (%)
3 3
27.3%
6 3
27.3%
5 3
27.3%
1 1
 
9.1%
2 1
 
9.1%
Space Separator
ValueCountFrequency (%)
5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Lowercase Letter
ValueCountFrequency (%)
i 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2307
98.6%
Common 26
 
1.1%
Latin 7
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 297
 
12.9%
의 280
 
12.1%
과 261
 
11.3%
치 158
 
6.8%
소 76
 
3.3%
청 58
 
2.5%
아 54
 
2.3%
이 44
 
1.9%
세 43
 
1.9%
내 42
 
1.8%
Other values (217) 994
43.1%
Common
ValueCountFrequency (%)
5
19.2%
( 5
19.2%
) 5
19.2%
3 3
11.5%
6 3
11.5%
5 3
11.5%
1 1
 
3.8%
2 1
 
3.8%
Latin
ValueCountFrequency (%)
F 1
14.3%
B 1
14.3%
i 1
14.3%
E 1
14.3%
S 1
14.3%
J 1
14.3%
M 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2307
98.6%
ASCII 33
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 297
 
12.9%
의 280
 
12.1%
과 261
 
11.3%
치 158
 
6.8%
소 76
 
3.3%
청 58
 
2.5%
아 54
 
2.3%
이 44
 
1.9%
세 43
 
1.9%
내 42
 
1.8%
Other values (217) 994
43.1%
ASCII
ValueCountFrequency (%)
5
15.2%
( 5
15.2%
) 5
15.2%
3 3
9.1%
6 3
9.1%
5 3
9.1%
1 1
 
3.0%
2 1
 
3.0%
F 1
 
3.0%
B 1
 
3.0%
Other values (5) 5
15.2%

도로명주소
Text

Distinct278
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-03-18T12:31:47.455584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length47
Mean length31.67931
Min length13

Characters and Unicode

Total characters9187
Distinct characters245
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

Unique267 ?
Unique (%)92.1%

Sample

1st row인천광역시 서구 가정로 378 4층 (가정동,정우빌딩)
2nd row인천 서구 검암동 596-1 5층
3rd row인천광역시 서구 신석로 79, 2층 (석남동)
4th row인천광역시 서구 가정로 363 2층 (신현동, 그린빌딩)
5th row인천광역시 서구 검단로 814-2 (불로동)
ValueCountFrequency (%)
서구 287
 
15.6%
인천광역시 270
 
14.7%
가정로 31
 
1.7%
2층 31
 
1.7%
가정동 30
 
1.6%
마전동 30
 
1.6%
완정로 27
 
1.5%
연희동 25
 
1.4%
원당동 24
 
1.3%
석남동 21
 
1.1%
Other values (520) 1065
57.8%
2024-03-18T12:31:47.829977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1555
 
16.9%
서 325
 
3.5%
인 296
 
3.2%
동 296
 
3.2%
0 295
 
3.2%
천 293
 
3.2%
구 288
 
3.1%
로 287
 
3.1%
시 275
 
3.0%
광 272
 
3.0%
Other values (235) 5005
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5039
54.8%
Decimal Number 1737
 
18.9%
Space Separator 1555
 
16.9%
Open Punctuation 269
 
2.9%
Close Punctuation 269
 
2.9%
Other Punctuation 189
 
2.1%
Math Symbol 44
 
0.5%
Dash Punctuation 41
 
0.4%
Uppercase Letter 32
 
0.3%
Lowercase Letter 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 325
 
6.4%
인 296
 
5.9%
동 296
 
5.9%
천 293
 
5.8%
구 288
 
5.7%
로 287
 
5.7%
시 275
 
5.5%
광 272
 
5.4%
역 270
 
5.4%
호 141
 
2.8%
Other values (201) 2296
45.6%
Uppercase Letter
ValueCountFrequency (%)
S 5
15.6%
M 4
12.5%
K 4
12.5%
B 4
12.5%
J 3
9.4%
A 2
 
6.2%
L 2
 
6.2%
V 2
 
6.2%
I 2
 
6.2%
W 2
 
6.2%
Decimal Number
ValueCountFrequency (%)
0 295
17.0%
1 240
13.8%
3 231
13.3%
2 228
13.1%
4 169
9.7%
5 152
8.8%
6 130
7.5%
8 113
 
6.5%
7 101
 
5.8%
9 78
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
e 4
33.3%
s 2
16.7%
r 2
16.7%
d 2
16.7%
a 2
16.7%
Other Punctuation
ValueCountFrequency (%)
, 184
97.4%
. 3
 
1.6%
' 2
 
1.1%
Space Separator
ValueCountFrequency (%)
1555
100.0%
Open Punctuation
ValueCountFrequency (%)
( 269
100.0%
Close Punctuation
ValueCountFrequency (%)
) 269
100.0%
Math Symbol
ValueCountFrequency (%)
~ 44
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5039
54.8%
Common 4104
44.7%
Latin 44
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 325
 
6.4%
인 296
 
5.9%
동 296
 
5.9%
천 293
 
5.8%
구 288
 
5.7%
로 287
 
5.7%
시 275
 
5.5%
광 272
 
5.4%
역 270
 
5.4%
호 141
 
2.8%
Other values (201) 2296
45.6%
Common
ValueCountFrequency (%)
1555
37.9%
0 295
 
7.2%
( 269
 
6.6%
) 269
 
6.6%
1 240
 
5.8%
3 231
 
5.6%
2 228
 
5.6%
, 184
 
4.5%
4 169
 
4.1%
5 152
 
3.7%
Other values (8) 512
 
12.5%
Latin
ValueCountFrequency (%)
S 5
11.4%
e 4
 
9.1%
M 4
 
9.1%
K 4
 
9.1%
B 4
 
9.1%
J 3
 
6.8%
s 2
 
4.5%
r 2
 
4.5%
d 2
 
4.5%
a 2
 
4.5%
Other values (6) 12
27.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5039
54.8%
ASCII 4148
45.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1555
37.5%
0 295
 
7.1%
( 269
 
6.5%
) 269
 
6.5%
1 240
 
5.8%
3 231
 
5.6%
2 228
 
5.5%
, 184
 
4.4%
4 169
 
4.1%
5 152
 
3.7%
Other values (24) 556
 
13.4%
Hangul
ValueCountFrequency (%)
서 325
 
6.4%
인 296
 
5.9%
동 296
 
5.9%
천 293
 
5.8%
구 288
 
5.7%
로 287
 
5.7%
시 275
 
5.5%
광 272
 
5.4%
역 270
 
5.4%
호 141
 
2.8%
Other values (201) 2296
45.6%

연락처
Text

Distinct271
Distinct (%)93.8%
Missing1
Missing (%)0.3%
Memory size2.4 KiB
2024-03-18T12:31:48.050617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.99308
Min length8

Characters and Unicode

Total characters3466
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

Unique256 ?
Unique (%)88.6%

Sample

1st row032-572-3148
2nd row032-562-1700
3rd row032-571-7528
4th row032-584-2875
5th row032-563-2845
ValueCountFrequency (%)
032-272-2828 3
 
1.0%
032-590-1500 3
 
1.0%
032-565-2204 3
 
1.0%
032-584-5599 2
 
0.7%
032-716-9930 2
 
0.7%
032-567-6200 2
 
0.7%
032-565-5677 2
 
0.7%
032-563-2875 2
 
0.7%
032-571-0668 2
 
0.7%
032-562-1700 2
 
0.7%
Other values (261) 266
92.0%
2024-03-18T12:31:48.361534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 577
16.6%
2 573
16.5%
5 457
13.2%
0 450
13.0%
3 360
10.4%
7 278
8.0%
6 234
6.8%
8 223
 
6.4%
1 129
 
3.7%
9 94
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2889
83.4%
Dash Punctuation 577
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 573
19.8%
5 457
15.8%
0 450
15.6%
3 360
12.5%
7 278
9.6%
6 234
8.1%
8 223
 
7.7%
1 129
 
4.5%
9 94
 
3.3%
4 91
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 577
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3466
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 577
16.6%
2 573
16.5%
5 457
13.2%
0 450
13.0%
3 360
10.4%
7 278
8.0%
6 234
6.8%
8 223
 
6.4%
1 129
 
3.7%
9 94
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3466
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 577
16.6%
2 573
16.5%
5 457
13.2%
0 450
13.0%
3 360
10.4%
7 278
8.0%
6 234
6.8%
8 223
 
6.4%
1 129
 
3.7%
9 94
 
2.7%

일반검진
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
216 
지정
68 
지정(지정)
 
6

Length

Max length6
Median length4
Mean length3.5724138
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 216
74.5%
지정 68
 
23.4%
지정(지정) 6
 
2.1%

Length

2024-03-18T12:31:48.485289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:31:48.597810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 216
74.5%
지정 68
 
23.4%
지정(지정 6
 
2.1%

위암
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
229 
지정
61 

Length

Max length4
Median length4
Mean length3.5793103
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 229
79.0%
지정 61
 
21.0%

Length

2024-03-18T12:31:48.705096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:31:48.799388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 229
79.0%
지정 61
 
21.0%

유방암
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
249 
지정
41 

Length

Max length4
Median length4
Mean length3.7172414
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 249
85.9%
지정 41
 
14.1%

Length

2024-03-18T12:31:48.920790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:31:49.022337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 249
85.9%
지정 41
 
14.1%

대장암
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
235 
지정
55 

Length

Max length4
Median length4
Mean length3.6206897
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 235
81.0%
지정 55
 
19.0%

Length

2024-03-18T12:31:49.110865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:31:49.194023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 235
81.0%
지정 55
 
19.0%

간암
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
226 
지정
64 

Length

Max length4
Median length4
Mean length3.5586207
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 226
77.9%
지정 64
 
22.1%

Length

2024-03-18T12:31:49.281763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:31:49.364946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 226
77.9%
지정 64
 
22.1%

자궁경부암
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
246 
지정
44 

Length

Max length4
Median length4
Mean length3.6965517
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 246
84.8%
지정 44
 
15.2%

Length

2024-03-18T12:31:49.464570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:31:49.564987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 246
84.8%
지정 44
 
15.2%

폐암
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
285 
지정
 
5

Length

Max length4
Median length4
Mean length3.9655172
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 285
98.3%
지정 5
 
1.7%

Length

2024-03-18T12:31:49.653098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:31:49.747673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 285
98.3%
지정 5
 
1.7%

구강검진
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
지정
150 
<NA>
135 
지정(지정)
 
5

Length

Max length6
Median length2
Mean length3
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지정 150
51.7%
<NA> 135
46.6%
지정(지정) 5
 
1.7%

Length

2024-03-18T12:31:49.856271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:31:49.946992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지정 150
51.7%
na 135
46.6%
지정(지정 5
 
1.7%

영유아검진
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
228 
지정
62 

Length

Max length4
Median length4
Mean length3.5724138
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 228
78.6%
지정 62
 
21.4%

Length

2024-03-18T12:31:50.056202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:31:50.146569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 228
78.6%
지정 62
 
21.4%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-03-29
290 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-03-29
2nd row2023-03-29
3rd row2023-03-29
4th row2023-03-29
5th row2023-03-29

Common Values

ValueCountFrequency (%)
2023-03-29 290
100.0%

Length

2024-03-18T12:31:50.241342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:31:50.327068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-03-29 290
100.0%

Interactions

2024-03-18T12:31:46.081832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T12:31:50.374301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번일반검진구강검진
연번1.0000.6030.178
일반검진0.6031.000NaN
구강검진0.178NaN1.000
2024-03-18T12:31:50.465556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구강검진위암유방암자궁경부암일반검진영유아검진간암대장암폐암
구강검진1.0001.0001.0001.0001.0001.0001.0001.0001.000
위암1.0001.0001.0001.0001.0001.0001.0001.0001.000
유방암1.0001.0001.0001.0001.0001.0001.0001.0001.000
자궁경부암1.0001.0001.0001.0001.0001.0001.0001.0001.000
일반검진1.0001.0001.0001.0001.0001.0001.0001.0001.000
영유아검진1.0001.0001.0001.0001.0001.0001.0001.0001.000
간암1.0001.0001.0001.0001.0001.0001.0001.0001.000
대장암1.0001.0001.0001.0001.0001.0001.0001.0001.000
폐암1.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-03-18T12:31:50.594476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번일반검진위암유방암대장암간암자궁경부암폐암구강검진영유아검진
연번1.0000.4381.0001.0001.0001.0001.0001.0000.1321.000
일반검진0.4381.0001.0001.0001.0001.0001.0001.0001.0001.000
위암1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
유방암1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
대장암1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
간암1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
자궁경부암1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
폐암1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
구강검진0.1321.0001.0001.0001.0001.0001.0001.0001.0001.000
영유아검진1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2024-03-18T12:31:46.188736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T12:31:46.367607image/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

연번검진기관명도로명주소연락처일반검진위암유방암대장암간암자궁경부암폐암구강검진영유아검진데이터기준일
01안대남치과의원인천광역시 서구 가정로 378 4층 (가정동,정우빌딩)032-572-3148<NA><NA><NA><NA><NA><NA><NA>지정<NA>2023-03-29
12세계로치과의원인천 서구 검암동 596-1 5층032-562-1700<NA><NA><NA><NA><NA><NA><NA>지정<NA>2023-03-29
23이편한치과의원인천광역시 서구 신석로 79, 2층 (석남동)032-571-7528<NA><NA><NA><NA><NA><NA><NA>지정<NA>2023-03-29
34플러스치과의원인천광역시 서구 가정로 363 2층 (신현동, 그린빌딩)032-584-2875<NA><NA><NA><NA><NA><NA><NA>지정<NA>2023-03-29
45해민치과의원인천광역시 서구 검단로 814-2 (불로동)032-563-2845<NA><NA><NA><NA><NA><NA><NA>지정<NA>2023-03-29
56위편한내과의원인천광역시 서구 원당대로 866 301호 (당하동, 세브란스빌딩)032-565-7881지정지정<NA>지정지정<NA><NA><NA><NA>2023-03-29
67검암웰치과의원인천 서구 검암동 508-1032-566-2804<NA><NA><NA><NA><NA><NA><NA>지정<NA>2023-03-29
78굿모닝치과의원인천광역시 서구 거북로 89 (석남동)032-584-4393<NA><NA><NA><NA><NA><NA><NA>지정<NA>2023-03-29
89하나여성산부인과의원인천광역시 서구 서곶로 293,3층 (심곡동)032-563-8422<NA><NA><NA><NA><NA>지정<NA><NA><NA>2023-03-29
910연세열린내과의원인천광역시 서구 가정로 201-1 (석남동)032-579-6090지정지정지정지정지정지정<NA><NA><NA>2023-03-29
연번검진기관명도로명주소연락처일반검진위암유방암대장암간암자궁경부암폐암구강검진영유아검진데이터기준일
280281원당연세메디칼의원인천광역시 서구 원당대로 841 (원당동)032-566-5060<NA><NA><NA><NA><NA><NA><NA><NA>지정2023-03-29
281282유앤박소아과의원인천광역시 서구 거북로 98 (석남동)032-573-3297<NA><NA><NA><NA><NA><NA><NA><NA>지정2023-03-29
282283제일가정의원인천광역시 서구 원적로96번길 26 2층 (가좌동, 프라자쇼핑)032-579-2095<NA><NA><NA><NA><NA><NA><NA><NA>지정2023-03-29
283284이가튼튼치과의원인천광역시 서구 청라커낼로260번길 7-9 204~206호 (경서동, 반안프라자2차)032-710-2820<NA><NA><NA><NA><NA><NA><NA>지정<NA>2023-03-29
284285브라이트치과의원인천광역시 서구 완정로 70 (마전동)032-565-2204<NA><NA><NA><NA><NA><NA><NA>지정<NA>2023-03-29
285286가정백세플란트치과의원인천광역시 서구 가정로 386 3층 (가정동, 신협)032-272-2828<NA><NA><NA><NA><NA><NA><NA>지정<NA>2023-03-29
286287우리소아과의원인천광역시 서구 청마로167번길 8 2층 (당하동, 강남빌딩)032-565-0075<NA><NA><NA><NA><NA><NA><NA><NA>지정2023-03-29
287288이해림산부인과의원인천광역시 서구 서곶로 355-1 4층 (연희동, 성우빌딩)032-564-1800<NA><NA><NA><NA><NA>지정<NA><NA><NA>2023-03-29
288289킹소아청소년과의원인천광역시 서구 완정로 172 402호 (마전동)032-568-5119<NA><NA><NA><NA><NA><NA><NA><NA>지정2023-03-29
289290태헬스케어의원인천광역시 서구 원당대로 1045 금호헤리티지7 5~6층 501~513, 608~613호 (원당동)032-716-9930지정지정지정지정지정지정<NA><NA><NA>2023-03-29