Overview

Dataset statistics

Number of variables14
Number of observations300
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.2 KiB
Average record size in memory113.4 B

Variable types

Numeric1
Text3
Categorical9
DateTime1

Dataset

Description인천광역시 서구 국가 암검진 의료기관 현황(검진기관명, 전화번호, 주소, 위암, 간암, 대장암, 유방암, 자궁경부암, 폐암)입니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15068790&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
위암 is highly overall correlated with 지정일자 and 8 other fieldsHigh correlation
유방암 is highly overall correlated with 지정일자 and 8 other fieldsHigh correlation
대장암 is highly overall correlated with 지정일자 and 8 other fieldsHigh correlation
자궁경부암 is highly overall correlated with 지정일자 and 8 other fieldsHigh correlation
일반검진 is highly overall correlated with 지정일자 and 8 other fieldsHigh correlation
영유아검진 is highly overall correlated with 지정일자 and 8 other fieldsHigh correlation
폐암 is highly overall correlated with 지정일자 and 8 other fieldsHigh correlation
구강검진 is highly overall correlated with 일반검진 and 7 other fieldsHigh correlation
간암 is highly overall correlated with 지정일자 and 8 other fieldsHigh correlation
지정일자 is highly overall correlated with 일반검진 and 7 other fieldsHigh correlation
폐암 is highly imbalanced (87.8%)Imbalance
지정일자 has unique valuesUnique

Reproduction

Analysis started2024-01-28 15:17:38.716336
Analysis finished2024-01-28 15:17:39.689634
Duration0.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지정일자
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct300
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean150.5
Minimum1
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-01-29T00:17:39.741406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15.95
Q175.75
median150.5
Q3225.25
95-th percentile285.05
Maximum300
Range299
Interquartile range (IQR)149.5

Descriptive statistics

Standard deviation86.746758
Coefficient of variation (CV)0.57639042
Kurtosis-1.2
Mean150.5
Median Absolute Deviation (MAD)75
Skewness0
Sum45150
Variance7525
MonotonicityStrictly increasing
2024-01-29T00:17:39.843997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
208 1
 
0.3%
206 1
 
0.3%
205 1
 
0.3%
204 1
 
0.3%
203 1
 
0.3%
202 1
 
0.3%
201 1
 
0.3%
200 1
 
0.3%
199 1
 
0.3%
Other values (290) 290
96.7%
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 (%)
300 1
0.3%
299 1
0.3%
298 1
0.3%
297 1
0.3%
296 1
0.3%
295 1
0.3%
294 1
0.3%
293 1
0.3%
292 1
0.3%
291 1
0.3%

검진기관명
Text

Distinct286
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-01-29T00:17:40.035391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length15
Mean length8.05
Min length4

Characters and Unicode

Total characters2415
Distinct characters240
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

Unique273 ?
Unique (%)91.0%

Sample

1st row안대남치과의원
2nd row세계로치과의원
3rd row이편한치과의원
4th row플러스치과의원
5th row해민치과의원
ValueCountFrequency (%)
청라연세어린이병원 3
 
1.0%
온누리병원 2
 
0.6%
우리미래소아청소년과의원 2
 
0.6%
맑은미소치과의원 2
 
0.6%
굿드림치과의원 2
 
0.6%
이사랑부부치과의원 2
 
0.6%
청라여성병원 2
 
0.6%
킹소아청소년과의원 2
 
0.6%
청라좋은병원 2
 
0.6%
청라리더스치과의원 2
 
0.6%
Other values (283) 287
93.2%
2024-01-29T00:17:40.340887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 308
 
12.8%
의 288
 
11.9%
과 267
 
11.1%
치 159
 
6.6%
소 74
 
3.1%
청 57
 
2.4%
아 57
 
2.4%
내 47
 
1.9%
이 44
 
1.8%
세 42
 
1.7%
Other values (230) 1072
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2372
98.2%
Decimal Number 17
 
0.7%
Space Separator 8
 
0.3%
Close Punctuation 5
 
0.2%
Open Punctuation 5
 
0.2%
Uppercase Letter 5
 
0.2%
Lowercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 308
 
13.0%
의 288
 
12.1%
과 267
 
11.3%
치 159
 
6.7%
소 74
 
3.1%
청 57
 
2.4%
아 57
 
2.4%
내 47
 
2.0%
이 44
 
1.9%
세 42
 
1.8%
Other values (214) 1029
43.4%
Decimal Number
ValueCountFrequency (%)
3 5
29.4%
6 5
29.4%
5 5
29.4%
1 1
 
5.9%
2 1
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
M 1
20.0%
E 1
20.0%
T 1
20.0%
J 1
20.0%
S 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
h 1
33.3%
e 1
33.3%
i 1
33.3%
Space Separator
ValueCountFrequency (%)
8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2372
98.2%
Common 35
 
1.4%
Latin 8
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 308
 
13.0%
의 288
 
12.1%
과 267
 
11.3%
치 159
 
6.7%
소 74
 
3.1%
청 57
 
2.4%
아 57
 
2.4%
내 47
 
2.0%
이 44
 
1.9%
세 42
 
1.8%
Other values (214) 1029
43.4%
Common
ValueCountFrequency (%)
8
22.9%
3 5
14.3%
6 5
14.3%
5 5
14.3%
) 5
14.3%
( 5
14.3%
1 1
 
2.9%
2 1
 
2.9%
Latin
ValueCountFrequency (%)
h 1
12.5%
M 1
12.5%
e 1
12.5%
E 1
12.5%
i 1
12.5%
T 1
12.5%
J 1
12.5%
S 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2372
98.2%
ASCII 43
 
1.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 308
 
13.0%
의 288
 
12.1%
과 267
 
11.3%
치 159
 
6.7%
소 74
 
3.1%
청 57
 
2.4%
아 57
 
2.4%
내 47
 
2.0%
이 44
 
1.9%
세 42
 
1.8%
Other values (214) 1029
43.4%
ASCII
ValueCountFrequency (%)
8
18.6%
3 5
11.6%
6 5
11.6%
5 5
11.6%
) 5
11.6%
( 5
11.6%
h 1
 
2.3%
M 1
 
2.3%
e 1
 
2.3%
E 1
 
2.3%
Other values (6) 6
14.0%

일반검진
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
221 
지정
73 
지정(지정)
 
6

Length

Max length6
Median length4
Mean length3.5533333
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> 221
73.7%
지정 73
 
24.3%
지정(지정) 6
 
2.0%

Length

2024-01-29T00:17:40.467701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T00:17:40.556899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 221
73.7%
지정 73
 
24.3%
지정(지정 6
 
2.0%

위암
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
233 
지정
67 

Length

Max length4
Median length4
Mean length3.5533333
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> 233
77.7%
지정 67
 
22.3%

Length

2024-01-29T00:17:40.649142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T00:17:40.730075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 233
77.7%
지정 67
 
22.3%

유방암
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
253 
지정
47 

Length

Max length4
Median length4
Mean length3.6866667
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> 253
84.3%
지정 47
 
15.7%

Length

2024-01-29T00:17:40.822794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T00:17:40.913105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 253
84.3%
지정 47
 
15.7%

대장암
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
238 
지정
62 

Length

Max length4
Median length4
Mean length3.5866667
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> 238
79.3%
지정 62
 
20.7%

Length

2024-01-29T00:17:41.000452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T00:17:41.097568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 238
79.3%
지정 62
 
20.7%

간암
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
230 
지정
70 

Length

Max length4
Median length4
Mean length3.5333333
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> 230
76.7%
지정 70
 
23.3%

Length

2024-01-29T00:17:41.180854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T00:17:41.261370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 230
76.7%
지정 70
 
23.3%

자궁경부암
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
249 
지정
51 

Length

Max length4
Median length4
Mean length3.66
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
83.0%
지정 51
 
17.0%

Length

2024-01-29T00:17:41.342705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T00:17:41.419626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 249
83.0%
지정 51
 
17.0%

폐암
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
295 
지정
 
5

Length

Max length4
Median length4
Mean length3.9666667
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> 295
98.3%
지정 5
 
1.7%

Length

2024-01-29T00:17:41.505101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T00:17:41.584463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 295
98.3%
지정 5
 
1.7%

구강검진
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
지정
153 
<NA>
142 
지정(지정)
 
5

Length

Max length6
Median length2
Mean length3.0133333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지정 153
51.0%
<NA> 142
47.3%
지정(지정) 5
 
1.7%

Length

2024-01-29T00:17:41.668203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T00:17:41.749561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지정 153
51.0%
na 142
47.3%
지정(지정 5
 
1.7%

영유아검진
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
235 
지정
65 

Length

Max length4
Median length4
Mean length3.5666667
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
78.3%
지정 65
 
21.7%

Length

2024-01-29T00:17:41.835249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T00:17:42.158648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 235
78.3%
지정 65
 
21.7%

주소
Text

Distinct289
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-01-29T00:17:42.328063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length47
Mean length32.03
Min length13

Characters and Unicode

Total characters9609
Distinct characters251
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

Unique279 ?
Unique (%)93.0%

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 295
 
15.3%
인천광역시 280
 
14.5%
2층 32
 
1.7%
가정동 32
 
1.7%
가정로 31
 
1.6%
원당동 30
 
1.6%
마전동 28
 
1.5%
연희동 25
 
1.3%
완정로 25
 
1.3%
3층 22
 
1.1%
Other values (541) 1126
58.5%
2024-01-29T00:17:42.641973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1650
 
17.2%
서 333
 
3.5%
인 310
 
3.2%
0 309
 
3.2%
천 305
 
3.2%
동 303
 
3.2%
로 298
 
3.1%
구 296
 
3.1%
시 288
 
3.0%
광 282
 
2.9%
Other values (241) 5235
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5258
54.7%
Decimal Number 1822
 
19.0%
Space Separator 1650
 
17.2%
Open Punctuation 276
 
2.9%
Close Punctuation 276
 
2.9%
Other Punctuation 190
 
2.0%
Math Symbol 50
 
0.5%
Dash Punctuation 39
 
0.4%
Uppercase Letter 36
 
0.4%
Lowercase Letter 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 333
 
6.3%
인 310
 
5.9%
천 305
 
5.8%
동 303
 
5.8%
로 298
 
5.7%
구 296
 
5.6%
시 288
 
5.5%
광 282
 
5.4%
역 280
 
5.3%
호 152
 
2.9%
Other values (206) 2411
45.9%
Uppercase Letter
ValueCountFrequency (%)
S 7
19.4%
B 4
11.1%
M 4
11.1%
K 4
11.1%
J 3
8.3%
W 2
 
5.6%
I 2
 
5.6%
L 2
 
5.6%
V 2
 
5.6%
A 2
 
5.6%
Other values (2) 4
11.1%
Decimal Number
ValueCountFrequency (%)
0 309
17.0%
1 254
13.9%
3 244
13.4%
2 241
13.2%
4 183
10.0%
5 162
8.9%
6 132
7.2%
8 110
 
6.0%
7 103
 
5.7%
9 84
 
4.6%
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 (%)
, 185
97.4%
. 3
 
1.6%
' 2
 
1.1%
Space Separator
ValueCountFrequency (%)
1650
100.0%
Open Punctuation
ValueCountFrequency (%)
( 276
100.0%
Close Punctuation
ValueCountFrequency (%)
) 276
100.0%
Math Symbol
ValueCountFrequency (%)
~ 50
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5258
54.7%
Common 4303
44.8%
Latin 48
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 333
 
6.3%
인 310
 
5.9%
천 305
 
5.8%
동 303
 
5.8%
로 298
 
5.7%
구 296
 
5.6%
시 288
 
5.5%
광 282
 
5.4%
역 280
 
5.3%
호 152
 
2.9%
Other values (206) 2411
45.9%
Common
ValueCountFrequency (%)
1650
38.3%
0 309
 
7.2%
( 276
 
6.4%
) 276
 
6.4%
1 254
 
5.9%
3 244
 
5.7%
2 241
 
5.6%
, 185
 
4.3%
4 183
 
4.3%
5 162
 
3.8%
Other values (8) 523
 
12.2%
Latin
ValueCountFrequency (%)
S 7
14.6%
e 4
 
8.3%
B 4
 
8.3%
M 4
 
8.3%
K 4
 
8.3%
J 3
 
6.2%
W 2
 
4.2%
s 2
 
4.2%
I 2
 
4.2%
r 2
 
4.2%
Other values (7) 14
29.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5258
54.7%
ASCII 4351
45.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1650
37.9%
0 309
 
7.1%
( 276
 
6.3%
) 276
 
6.3%
1 254
 
5.8%
3 244
 
5.6%
2 241
 
5.5%
, 185
 
4.3%
4 183
 
4.2%
5 162
 
3.7%
Other values (25) 571
 
13.1%
Hangul
ValueCountFrequency (%)
서 333
 
6.3%
인 310
 
5.9%
천 305
 
5.8%
동 303
 
5.8%
로 298
 
5.7%
구 296
 
5.6%
시 288
 
5.5%
광 282
 
5.4%
역 280
 
5.3%
호 152
 
2.9%
Other values (206) 2411
45.9%

전화번호
Text

Distinct281
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-01-29T00:17:42.851341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.006667
Min length12

Characters and Unicode

Total characters3602
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

Unique265 ?
Unique (%)88.3%

Sample

1st row032-572-3148
2nd row032-562-1700
3rd row032-571-7528
4th row032-584-2875
5th row032-563-2845
ValueCountFrequency (%)
032-590-1500 3
 
1.0%
032-565-2204 3
 
1.0%
032-272-2828 3
 
1.0%
032-562-1700 2
 
0.7%
032-563-2875 2
 
0.7%
032-271-0119 2
 
0.7%
032-716-9930 2
 
0.7%
032-571-0668 2
 
0.7%
032-565-5677 2
 
0.7%
032-567-6200 2
 
0.7%
Other values (271) 277
92.3%
2024-01-29T00:17:43.147660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 600
16.7%
2 595
16.5%
5 471
13.1%
0 467
13.0%
3 380
10.5%
7 286
7.9%
6 241
6.7%
8 232
 
6.4%
1 134
 
3.7%
9 99
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3002
83.3%
Dash Punctuation 600
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 595
19.8%
5 471
15.7%
0 467
15.6%
3 380
12.7%
7 286
9.5%
6 241
8.0%
8 232
 
7.7%
1 134
 
4.5%
9 99
 
3.3%
4 97
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 600
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3602
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 600
16.7%
2 595
16.5%
5 471
13.1%
0 467
13.0%
3 380
10.5%
7 286
7.9%
6 241
6.7%
8 232
 
6.4%
1 134
 
3.7%
9 99
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3602
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 600
16.7%
2 595
16.5%
5 471
13.1%
0 467
13.0%
3 380
10.5%
7 286
7.9%
6 241
6.7%
8 232
 
6.4%
1 134
 
3.7%
9 99
 
2.7%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum2023-08-01 00:00:00
Maximum2023-08-01 00:00:00
2024-01-29T00:17:43.248984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:17:43.320357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-29T00:17:39.375093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-29T00:17:43.379340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정일자일반검진구강검진
지정일자1.0000.6930.384
일반검진0.6931.000NaN
구강검진0.384NaN1.000
2024-01-29T00:17:43.468960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위암유방암대장암자궁경부암일반검진영유아검진폐암구강검진간암
위암1.0001.0001.0001.0001.0001.0001.0001.0001.000
유방암1.0001.0001.0001.0001.0001.0001.0001.0001.000
대장암1.0001.0001.0001.0001.0001.0001.0001.0001.000
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
폐암1.0001.0001.0001.0001.0001.0001.0001.0001.000
구강검진1.0001.0001.0001.0001.0001.0001.0001.0001.000
간암1.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-01-29T00:17:43.587986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정일자일반검진위암유방암대장암간암자궁경부암폐암구강검진영유아검진
지정일자1.0000.5111.0001.0001.0001.0001.0001.0000.2861.000
일반검진0.5111.0001.0001.0001.0001.0001.0001.0001.0001.000
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
구강검진0.2861.0001.0001.0001.0001.0001.0001.0001.0001.000
영유아검진1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2024-01-29T00:17:39.471540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-29T00:17:39.625749image/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

지정일자검진기관명일반검진위암유방암대장암간암자궁경부암폐암구강검진영유아검진주소전화번호데이터기준일자
01안대남치과의원<NA><NA><NA><NA><NA><NA><NA>지정<NA>인천광역시 서구 가정로 378 4층 (가정동,정우빌딩)032-572-31482023-08-01
12세계로치과의원<NA><NA><NA><NA><NA><NA><NA>지정<NA>인천 서구 검암동 596-1 5층032-562-17002023-08-01
23이편한치과의원<NA><NA><NA><NA><NA><NA><NA>지정<NA>인천광역시 서구 신석로 79, 2층 (석남동)032-571-75282023-08-01
34플러스치과의원<NA><NA><NA><NA><NA><NA><NA>지정<NA>인천광역시 서구 가정로 363 2층 (신현동, 그린빌딩)032-584-28752023-08-01
45해민치과의원<NA><NA><NA><NA><NA><NA><NA>지정<NA>인천광역시 서구 검단로 814-2 (불로동)032-563-28452023-08-01
56위편한내과의원지정지정<NA>지정지정<NA><NA><NA><NA>인천광역시 서구 원당대로 866 301호 (당하동, 세브란스빌딩)032-565-78812023-08-01
67검암웰치과의원<NA><NA><NA><NA><NA><NA><NA>지정<NA>인천 서구 검암동 508-1032-566-28042023-08-01
78굿모닝치과의원<NA><NA><NA><NA><NA><NA><NA>지정<NA>인천광역시 서구 거북로 89 (석남동)032-584-43932023-08-01
89하나여성산부인과의원<NA><NA><NA><NA><NA>지정<NA><NA><NA>인천광역시 서구 서곶로 293,3층 (심곡동)032-563-84222023-08-01
910연세열린내과의원지정지정지정지정지정지정<NA><NA><NA>인천광역시 서구 가정로 201-1 (석남동)032-579-60902023-08-01
지정일자검진기관명일반검진위암유방암대장암간암자궁경부암폐암구강검진영유아검진주소전화번호데이터기준일자
290291유앤박소아과의원<NA><NA><NA><NA><NA><NA><NA><NA>지정인천광역시 서구 거북로 98 (석남동)032-573-32972023-08-01
291292제일가정의원<NA><NA><NA><NA><NA><NA><NA><NA>지정인천광역시 서구 원적로96번길 26 2층 (가좌동, 프라자쇼핑)032-579-20952023-08-01
292293이가튼튼치과의원<NA><NA><NA><NA><NA><NA><NA>지정<NA>인천광역시 서구 청라커낼로260번길 7-9 204~206호 (경서동, 반안프라자2차)032-710-28202023-08-01
293294브라이트치과의원<NA><NA><NA><NA><NA><NA><NA>지정<NA>인천광역시 서구 완정로 70 (마전동)032-565-22042023-08-01
294295가정백세플란트치과의원<NA><NA><NA><NA><NA><NA><NA>지정<NA>인천광역시 서구 가정로 386 3층 (가정동, 신협)032-272-28282023-08-01
295296우리소아과의원<NA><NA><NA><NA><NA><NA><NA><NA>지정인천광역시 서구 청마로167번길 8 2층 (당하동, 강남빌딩)032-565-00752023-08-01
296297이해림산부인과의원<NA><NA><NA><NA><NA>지정<NA><NA><NA>인천광역시 서구 서곶로 355-1 4층 (연희동, 성우빌딩)032-564-18002023-08-01
297298속편한의원지정지정<NA>지정지정<NA><NA><NA><NA>인천광역시 서구 탁옥로 45 (심곡동)032-719-87402023-08-01
298299킹소아청소년과의원<NA><NA><NA><NA><NA><NA><NA><NA>지정인천광역시 서구 완정로 172 402호 (마전동)032-568-51192023-08-01
299300태헬스케어의원지정지정지정지정지정지정<NA><NA><NA>인천광역시 서구 원당대로 1045 금호헤리티지7 5~6층 501~513, 608~613호 (원당동)032-716-99302023-08-01