Overview

Dataset statistics

Number of variables18
Number of observations2013
Missing cells0
Missing cells (%)0.0%
Duplicate rows256
Duplicate rows (%)12.7%
Total size in memory287.1 KiB
Average record size in memory146.1 B

Variable types

Categorical17
Text1

Dataset

Description주요 법정감염병 발생 및 사망
Author충청남도
URLhttps://alldam.chungnam.go.kr/bigdata/collect/view.chungnam?menuCd=DOM_000000201001001000&apiIdx=2849

Alerts

통계표ID has constant value ""Constant
기관코드 has constant value ""Constant
수록주기 has constant value ""Constant
분류명2 has constant value ""Constant
통계표명 has constant value ""Constant
분류명1 has constant value ""Constant
Dataset has 256 (12.7%) duplicate rowsDuplicates
단위 영문명 is highly overall correlated with 항목명 and 2 other fieldsHigh correlation
분류값 ID2 is highly overall correlated with 분류값 명2 and 2 other fieldsHigh correlation
분류값 명1 is highly overall correlated with 분류값 ID1 and 1 other fieldsHigh correlation
단위명 is highly overall correlated with 항목명 and 2 other fieldsHigh correlation
분류값 영문명1 is highly overall correlated with 분류값 ID1 and 1 other fieldsHigh correlation
항목ID is highly overall correlated with 항목명 and 2 other fieldsHigh correlation
분류값 명2 is highly overall correlated with 분류값 ID2 and 2 other fieldsHigh correlation
분류값 영문명2 is highly overall correlated with 분류값 명2 and 2 other fieldsHigh correlation
분류값 ID1 is highly overall correlated with 분류값 명1 and 1 other fieldsHigh correlation
항목명 is highly overall correlated with 항목ID and 3 other fieldsHigh correlation
수록시점 is highly overall correlated with 분류값 명2 and 3 other fieldsHigh correlation

Reproduction

Analysis started2024-01-14 06:39:30.353395
Analysis finished2024-01-14 06:39:33.401744
Duration3.05 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

통계표ID
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size15.9 KiB
DT_21303_K000060
2013 

Length

Max length16
Median length16
Mean length16
Min length16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDT_21303_K000060
2nd rowDT_21303_K000060
3rd rowDT_21303_K000060
4th rowDT_21303_K000060
5th rowDT_21303_K000060

Common Values

ValueCountFrequency (%)
DT_21303_K000060 2013
100.0%

Length

2024-01-14T15:39:33.457888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:39:33.557125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
dt_21303_k000060 2013
100.0%

기관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size15.9 KiB
213
2013 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row213
2nd row213
3rd row213
4th row213
5th row213

Common Values

ValueCountFrequency (%)
213 2013
100.0%

Length

2024-01-14T15:39:33.662858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:39:33.800584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
213 2013
100.0%

분류값 명2
Categorical

HIGH CORRELATION 

Distinct38
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size15.9 KiB
여
288 
남
288 
제4급 감염병
 
96
제3급 감염병
 
96
제2급 감염병
 
96
Other values (33)
1149 

Length

Max length14
Median length10
Mean length4.0799801
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제1군감염병
2nd row제1군감염병
3rd row콜레라
4th row콜레라
5th row장티푸스

Common Values

ValueCountFrequency (%)
여 288
 
14.3%
남 288
 
14.3%
제4급 감염병 96
 
4.8%
제3급 감염병 96
 
4.8%
제2급 감염병 96
 
4.8%
제1급 감염병 96
 
4.8%
기타 63
 
3.1%
유행성이하선염 32
 
1.6%
장출혈성대장균감염증 32
 
1.6%
제2군감염병 32
 
1.6%
Other values (28) 894
44.4%

Length

2024-01-14T15:39:33.911759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
감염병 384
 
15.6%
여 288
 
11.7%
남 288
 
11.7%
제4급 96
 
3.9%
제3급 96
 
3.9%
제2급 96
 
3.9%
제1급 96
 
3.9%
기타 63
 
2.6%
제4군감염병 32
 
1.3%
한센병 32
 
1.3%
Other values (31) 990
40.2%

수록주기
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size15.9 KiB
A
2013 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
A 2013
100.0%

Length

2024-01-14T15:39:34.019298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:39:34.103234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a 2013
100.0%

항목명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.9 KiB
발생건수
624 
사망자수
621 
발생
384 
사망
384 

Length

Max length4
Median length4
Mean length3.2369598
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row발생건수
2nd row사망자수
3rd row발생건수
4th row사망자수
5th row발생건수

Common Values

ValueCountFrequency (%)
발생건수 624
31.0%
사망자수 621
30.8%
발생 384
19.1%
사망 384
19.1%

Length

2024-01-14T15:39:34.206464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:39:34.319779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
발생건수 624
31.0%
사망자수 621
30.8%
발생 384
19.1%
사망 384
19.1%

항목ID
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.9 KiB
I_2
1008 
I_3
1005 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI_2
2nd rowI_3
3rd rowI_2
4th rowI_3
5th rowI_2

Common Values

ValueCountFrequency (%)
I_2 1008
50.1%
I_3 1005
49.9%

Length

2024-01-14T15:39:34.452209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:39:34.580908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i_2 1008
50.1%
i_3 1005
49.9%

단위명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.9 KiB
건
1008 
명
1005 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row건
2nd row명
3rd row건
4th row명
5th row건

Common Values

ValueCountFrequency (%)
건 1008
50.1%
명 1005
49.9%

Length

2024-01-14T15:39:34.678325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:39:34.849639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건 1008
50.1%
명 1005
49.9%

분류값 ID1
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size15.9 KiB
11101BSM34010
 
126
11101BSM34020
 
126
11101BSM34030
 
126
11101BSM34050
 
126
11101BSM34060
 
126
Other values (11)
1383 

Length

Max length13
Median length13
Mean length12.815201
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11101BSM34
2nd row11101BSM34
3rd row11101BSM34
4th row11101BSM34
5th row11101BSM34

Common Values

ValueCountFrequency (%)
11101BSM34010 126
 
6.3%
11101BSM34020 126
 
6.3%
11101BSM34030 126
 
6.3%
11101BSM34050 126
 
6.3%
11101BSM34060 126
 
6.3%
11101BSM34070 126
 
6.3%
11101BSM34080 126
 
6.3%
11101BSM34310 126
 
6.3%
11101BSM34330 126
 
6.3%
11101BSM34340 126
 
6.3%
Other values (6) 753
37.4%

Length

2024-01-14T15:39:35.054076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
11101bsm34010 126
 
6.3%
11101bsm34020 126
 
6.3%
11101bsm34030 126
 
6.3%
11101bsm34050 126
 
6.3%
11101bsm34060 126
 
6.3%
11101bsm34070 126
 
6.3%
11101bsm34080 126
 
6.3%
11101bsm34310 126
 
6.3%
11101bsm34330 126
 
6.3%
11101bsm34340 126
 
6.3%
Other values (6) 753
37.4%

분류값 ID2
Categorical

HIGH CORRELATION 

Distinct39
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size15.9 KiB
11101BJV10
 
128
I_183
 
128
I_182
 
128
I_181
 
128
11101BJV20
 
128
Other values (34)
1373 

Length

Max length13
Median length10
Mean length9.2801788
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11101BJV10
2nd row11101BJV10
3rd row11101BJV10020
4th row11101BJV10020
5th row11101BJV10040

Common Values

ValueCountFrequency (%)
11101BJV10 128
 
6.4%
I_183 128
 
6.4%
I_182 128
 
6.4%
I_181 128
 
6.4%
11101BJV20 128
 
6.4%
11101BJV30 128
 
6.4%
11101BJV40 128
 
6.4%
I_184 128
 
6.4%
11101BJV20060 32
 
1.6%
11101BJV10060 32
 
1.6%
Other values (29) 925
46.0%

Length

2024-01-14T15:39:35.212804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
11101bjv10 128
 
6.4%
i_182 128
 
6.4%
i_181 128
 
6.4%
11101bjv20 128
 
6.4%
11101bjv30 128
 
6.4%
11101bjv40 128
 
6.4%
i_184 128
 
6.4%
i_183 128
 
6.4%
i_163 32
 
1.6%
11101bjv10020 32
 
1.6%
Other values (29) 925
46.0%

단위 영문명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.9 KiB
Case
1008 
In Person
1005 

Length

Max length9
Median length4
Mean length6.4962742
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCase
2nd rowIn Person
3rd rowCase
4th rowIn Person
5th rowCase

Common Values

ValueCountFrequency (%)
Case 1008
50.1%
In Person 1005
49.9%

Length

2024-01-14T15:39:35.329329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:39:35.478250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
case 1008
33.4%
in 1005
33.3%
person 1005
33.3%

분류명2
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size15.9 KiB
법정감염병별
2013 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
법정감염병별 2013
100.0%

Length

2024-01-14T15:39:35.605728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:39:35.700437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법정감염병별 2013
100.0%

수치값
Text

Distinct190
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size15.9 KiB
2024-01-14T15:39:35.975943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length1
Mean length1.4028813
Min length1

Characters and Unicode

Total characters2824
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

Unique68 ?
Unique (%)3.4%

Sample

1st row1448
2nd row-
3rd row-
4th row-
5th row5
ValueCountFrequency (%)
1034
51.4%
1 153
 
7.6%
3 45
 
2.2%
2 41
 
2.0%
6 41
 
2.0%
4 30
 
1.5%
5 27
 
1.3%
7 18
 
0.9%
24 17
 
0.8%
29 16
 
0.8%
Other values (180) 591
29.4%
2024-01-14T15:39:36.499840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1034
36.6%
1 410
 
14.5%
2 245
 
8.7%
3 201
 
7.1%
6 177
 
6.3%
4 173
 
6.1%
5 157
 
5.6%
9 124
 
4.4%
7 105
 
3.7%
8 101
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1790
63.4%
Dash Punctuation 1034
36.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 410
22.9%
2 245
13.7%
3 201
11.2%
6 177
9.9%
4 173
9.7%
5 157
 
8.8%
9 124
 
6.9%
7 105
 
5.9%
8 101
 
5.6%
0 97
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 1034
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2824
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1034
36.6%
1 410
 
14.5%
2 245
 
8.7%
3 201
 
7.1%
6 177
 
6.3%
4 173
 
6.1%
5 157
 
5.6%
9 124
 
4.4%
7 105
 
3.7%
8 101
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2824
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1034
36.6%
1 410
 
14.5%
2 245
 
8.7%
3 201
 
7.1%
6 177
 
6.3%
4 173
 
6.1%
5 157
 
5.6%
9 124
 
4.4%
7 105
 
3.7%
8 101
 
3.6%

분류값 명1
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size15.9 KiB
천안시
 
126
공주시
 
126
보령시
 
126
서산시
 
126
논산시
 
126
Other values (11)
1383 

Length

Max length3
Median length3
Mean length2.9384004
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
천안시 126
 
6.3%
공주시 126
 
6.3%
보령시 126
 
6.3%
서산시 126
 
6.3%
논산시 126
 
6.3%
계룡시 126
 
6.3%
당진시 126
 
6.3%
금산군 126
 
6.3%
부여군 126
 
6.3%
서천군 126
 
6.3%
Other values (6) 753
37.4%

Length

2024-01-14T15:39:36.703560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
천안시 126
 
6.3%
공주시 126
 
6.3%
보령시 126
 
6.3%
서산시 126
 
6.3%
논산시 126
 
6.3%
계룡시 126
 
6.3%
당진시 126
 
6.3%
금산군 126
 
6.3%
부여군 126
 
6.3%
서천군 126
 
6.3%
Other values (6) 753
37.4%

수록시점
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.9 KiB
2019
1245 
2020
768 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019
2nd row2019
3rd row2019
4th row2019
5th row2019

Common Values

ValueCountFrequency (%)
2019 1245
61.8%
2020 768
38.2%

Length

2024-01-14T15:39:36.821118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:39:36.924333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019 1245
61.8%
2020 768
38.2%

분류값 영문명2
Categorical

HIGH CORRELATION 

Distinct33
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size15.9 KiB
<NA>
576 
Communicable diseases Class Ⅲ
128 
Communicable diseases ClassⅡ
128 
Communicable diseases Class Ⅳ
128 
Communicable diseases ClassⅠ
128 
Other values (28)
925 

Length

Max length29
Median length25
Mean length13.752608
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCommunicable diseases ClassⅠ
2nd rowCommunicable diseases ClassⅠ
3rd rowCholera
4th rowCholera
5th rowTyphoid fever

Common Values

ValueCountFrequency (%)
<NA> 576
28.6%
Communicable diseases Class Ⅲ 128
 
6.4%
Communicable diseases ClassⅡ 128
 
6.4%
Communicable diseases Class Ⅳ 128
 
6.4%
Communicable diseases ClassⅠ 128
 
6.4%
Others 63
 
3.1%
Diphtheria 32
 
1.6%
Rubella 32
 
1.6%
Mumps 32
 
1.6%
Measles 32
 
1.6%
Other values (23) 734
36.5%

Length

2024-01-14T15:39:37.029385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 576
15.5%
communicable 512
13.8%
diseases 512
13.8%
class 256
 
6.9%
ⅲ 128
 
3.5%
classⅱ 128
 
3.5%
ⅳ 128
 
3.5%
classⅰ 128
 
3.5%
fever 96
 
2.6%
hepatitis 64
 
1.7%
Other values (36) 1181
31.8%

분류값 영문명1
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size15.9 KiB
Cheonan-si
 
126
Gongju-si
 
126
Boryeong-si
 
126
Seosan-si
 
126
Nonsan-si
 
126
Other values (11)
1383 

Length

Max length14
Median length13
Mean length9.9438649
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
Cheonan-si 126
 
6.3%
Gongju-si 126
 
6.3%
Boryeong-si 126
 
6.3%
Seosan-si 126
 
6.3%
Nonsan-si 126
 
6.3%
Gyeryong-si 126
 
6.3%
Dangjin-gun 126
 
6.3%
Geumsan-gun 126
 
6.3%
Buyeo-gun 126
 
6.3%
Seocheon-gun 126
 
6.3%
Other values (6) 753
37.4%

Length

2024-01-14T15:39:37.147119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
cheonan-si 126
 
6.3%
gongju-si 126
 
6.3%
boryeong-si 126
 
6.3%
seosan-si 126
 
6.3%
nonsan-si 126
 
6.3%
gyeryong-si 126
 
6.3%
dangjin-gun 126
 
6.3%
geumsan-gun 126
 
6.3%
buyeo-gun 126
 
6.3%
seocheon-gun 126
 
6.3%
Other values (6) 753
37.4%

통계표명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size15.9 KiB
주요 법정감염병 발생 및 사망
2013 

Length

Max length16
Median length16
Mean length16
Min length16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row주요 법정감염병 발생 및 사망
2nd row주요 법정감염병 발생 및 사망
3rd row주요 법정감염병 발생 및 사망
4th row주요 법정감염병 발생 및 사망
5th row주요 법정감염병 발생 및 사망

Common Values

ValueCountFrequency (%)
주요 법정감염병 발생 및 사망 2013
100.0%

Length

2024-01-14T15:39:37.272725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:39:37.398779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주요 2013
20.0%
법정감염병 2013
20.0%
발생 2013
20.0%
및 2013
20.0%
사망 2013
20.0%

분류명1
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size15.9 KiB
행정구역(시군)별
2013 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row행정구역(시군)별
2nd row행정구역(시군)별
3rd row행정구역(시군)별
4th row행정구역(시군)별
5th row행정구역(시군)별

Common Values

ValueCountFrequency (%)
행정구역(시군)별 2013
100.0%

Length

2024-01-14T15:39:37.492266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:39:37.582117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
행정구역(시군)별 2013
100.0%

Correlations

2024-01-14T15:39:37.647961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분류값 명2항목명항목ID단위명분류값 ID1분류값 ID2단위 영문명분류값 명1수록시점분류값 영문명2분류값 영문명1
분류값 명21.0000.7420.0000.0000.0000.9990.0000.0000.9561.0000.000
항목명0.7421.0001.0001.0000.0000.6911.0000.0001.0000.7440.000
항목ID0.0001.0001.0001.0000.0000.0001.0000.0000.0000.0000.000
단위명0.0001.0001.0001.0000.0000.0001.0000.0000.0000.0000.000
분류값 ID10.0000.0000.0000.0001.0000.0000.0001.0000.0000.0001.000
분류값 ID20.9990.6910.0000.0000.0001.0000.0000.0000.8611.0000.000
단위 영문명0.0001.0001.0001.0000.0000.0001.0000.0000.0000.0000.000
분류값 명10.0000.0000.0000.0001.0000.0000.0001.0000.0000.0001.000
수록시점0.9561.0000.0000.0000.0000.8610.0000.0001.0000.9280.000
분류값 영문명21.0000.7440.0000.0000.0001.0000.0000.0000.9281.0000.000
분류값 영문명10.0000.0000.0000.0001.0000.0000.0001.0000.0000.0001.000
2024-01-14T15:39:37.777339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단위 영문명분류값 ID2분류값 명1단위명분류값 영문명1항목ID분류값 명2분류값 영문명2분류값 ID1항목명수록시점
단위 영문명1.0000.0000.0000.9990.0000.9990.0000.0000.0001.0000.000
분류값 ID20.0001.0000.0000.0000.0000.0000.9431.0000.0000.4240.760
분류값 명10.0000.0001.0000.0001.0000.0000.0000.0001.0000.0000.000
단위명0.9990.0000.0001.0000.0000.9990.0000.0000.0001.0000.000
분류값 영문명10.0000.0001.0000.0001.0000.0000.0000.0001.0000.0000.000
항목ID0.9990.0000.0000.9990.0001.0000.0000.0000.0001.0000.000
분류값 명20.0000.9430.0000.0000.0000.0001.0000.9990.0000.4750.844
분류값 영문명20.0001.0000.0000.0000.0000.0000.9991.0000.0000.4450.799
분류값 ID10.0000.0001.0000.0001.0000.0000.0000.0001.0000.0000.000
항목명1.0000.4240.0001.0000.0001.0000.4750.4450.0001.0001.000
수록시점0.0000.7600.0000.0000.0000.0000.8440.7990.0001.0001.000
2024-01-14T15:39:38.087095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분류값 명2항목명항목ID단위명분류값 ID1분류값 ID2단위 영문명분류값 명1수록시점분류값 영문명2분류값 영문명1
분류값 명21.0000.4750.0000.0000.0000.9430.0000.0000.8440.9990.000
항목명0.4751.0001.0001.0000.0000.4241.0000.0001.0000.4450.000
항목ID0.0001.0001.0000.9990.0000.0000.9990.0000.0000.0000.000
단위명0.0001.0000.9991.0000.0000.0000.9990.0000.0000.0000.000
분류값 ID10.0000.0000.0000.0001.0000.0000.0001.0000.0000.0001.000
분류값 ID20.9430.4240.0000.0000.0001.0000.0000.0000.7601.0000.000
단위 영문명0.0001.0000.9990.9990.0000.0001.0000.0000.0000.0000.000
분류값 명10.0000.0000.0000.0001.0000.0000.0001.0000.0000.0001.000
수록시점0.8441.0000.0000.0000.0000.7600.0000.0001.0000.7990.000
분류값 영문명20.9990.4450.0000.0000.0001.0000.0000.0000.7991.0000.000
분류값 영문명10.0000.0000.0000.0001.0000.0000.0001.0000.0000.0001.000

Missing values

2024-01-14T15:39:33.093231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-14T15:39:33.322252image/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

통계표ID기관코드분류값 명2수록주기항목명항목ID단위명분류값 ID1분류값 ID2단위 영문명분류명2수치값분류값 명1수록시점분류값 영문명2분류값 영문명1통계표명분류명1
0DT_21303_K000060213제1군감염병A발생건수I_2건11101BSM3411101BJV10Case법정감염병별1448합계2019Communicable diseases ClassⅠTotal주요 법정감염병 발생 및 사망행정구역(시군)별
1DT_21303_K000060213제1군감염병A사망자수I_3명11101BSM3411101BJV10In Person법정감염병별-합계2019Communicable diseases ClassⅠTotal주요 법정감염병 발생 및 사망행정구역(시군)별
2DT_21303_K000060213콜레라A발생건수I_2건11101BSM3411101BJV10020Case법정감염병별-합계2019CholeraTotal주요 법정감염병 발생 및 사망행정구역(시군)별
3DT_21303_K000060213콜레라A사망자수I_3명11101BSM3411101BJV10020In Person법정감염병별-합계2019CholeraTotal주요 법정감염병 발생 및 사망행정구역(시군)별
4DT_21303_K000060213장티푸스A발생건수I_2건11101BSM3411101BJV10040Case법정감염병별5합계2019Typhoid feverTotal주요 법정감염병 발생 및 사망행정구역(시군)별
5DT_21303_K000060213장티푸스A사망자수I_3명11101BSM3411101BJV10040In Person법정감염병별-합계2019Typhoid feverTotal주요 법정감염병 발생 및 사망행정구역(시군)별
6DT_21303_K000060213파라티푸스A발생건수I_2건11101BSM3411101BJV10050Case법정감염병별-합계2019Paratyphoid feverTotal주요 법정감염병 발생 및 사망행정구역(시군)별
7DT_21303_K000060213파라티푸스A사망자수I_3명11101BSM3411101BJV10050In Person법정감염병별-합계2019Paratyphoid feverTotal주요 법정감염병 발생 및 사망행정구역(시군)별
8DT_21303_K000060213세균성이질A발생건수I_2건11101BSM3411101BJV10060Case법정감염병별2합계2019ShigellosisTotal주요 법정감염병 발생 및 사망행정구역(시군)별
9DT_21303_K000060213세균성이질A사망자수I_3명11101BSM3411101BJV10060In Person법정감염병별-합계2019ShigellosisTotal주요 법정감염병 발생 및 사망행정구역(시군)별
통계표ID기관코드분류값 명2수록주기항목명항목ID단위명분류값 ID1분류값 ID2단위 영문명분류명2수치값분류값 명1수록시점분류값 영문명2분류값 영문명1통계표명분류명1
2003DT_21303_K000060213제4급 감염병A발생I_2건11101BSM3438011101BJV40Case법정감염병별-태안군2020Communicable diseases Class ⅣTaean-gun주요 법정감염병 발생 및 사망행정구역(시군)별
2004DT_21303_K000060213제4급 감염병A사망I_3명11101BSM3438011101BJV40In Person법정감염병별-태안군2020Communicable diseases Class ⅣTaean-gun주요 법정감염병 발생 및 사망행정구역(시군)별
2005DT_21303_K000060213남A발생I_2건11101BSM34380I_181Case법정감염병별58태안군2020<NA>Taean-gun주요 법정감염병 발생 및 사망행정구역(시군)별
2006DT_21303_K000060213남A사망I_3명11101BSM34380I_181In Person법정감염병별1태안군2020<NA>Taean-gun주요 법정감염병 발생 및 사망행정구역(시군)별
2007DT_21303_K000060213여A발생I_2건11101BSM34380I_182Case법정감염병별34태안군2020<NA>Taean-gun주요 법정감염병 발생 및 사망행정구역(시군)별
2008DT_21303_K000060213여A사망I_3명11101BSM34380I_182In Person법정감염병별-태안군2020<NA>Taean-gun주요 법정감염병 발생 및 사망행정구역(시군)별
2009DT_21303_K000060213남A발생I_2건11101BSM34380I_183Case법정감염병별18태안군2020<NA>Taean-gun주요 법정감염병 발생 및 사망행정구역(시군)별
2010DT_21303_K000060213남A사망I_3명11101BSM34380I_183In Person법정감염병별-태안군2020<NA>Taean-gun주요 법정감염병 발생 및 사망행정구역(시군)별
2011DT_21303_K000060213여A발생I_2건11101BSM34380I_184Case법정감염병별29태안군2020<NA>Taean-gun주요 법정감염병 발생 및 사망행정구역(시군)별
2012DT_21303_K000060213여A사망I_3명11101BSM34380I_184In Person법정감염병별-태안군2020<NA>Taean-gun주요 법정감염병 발생 및 사망행정구역(시군)별

Duplicate rows

Most frequently occurring

통계표ID기관코드분류값 명2수록주기항목명항목ID단위명분류값 ID1분류값 ID2단위 영문명분류명2수치값분류값 명1수록시점분류값 영문명2분류값 영문명1통계표명분류명1# duplicates
0DT_21303_K000060213남A발생I_2건11101BSM34I_181Case법정감염병별2096합계2020<NA>Total주요 법정감염병 발생 및 사망행정구역(시군)별3
1DT_21303_K000060213남A발생I_2건11101BSM34I_183Case법정감염병별399합계2020<NA>Total주요 법정감염병 발생 및 사망행정구역(시군)별3
2DT_21303_K000060213남A발생I_2건11101BSM34010I_181Case법정감염병별632천안시2020<NA>Cheonan-si주요 법정감염병 발생 및 사망행정구역(시군)별3
3DT_21303_K000060213남A발생I_2건11101BSM34010I_183Case법정감염병별78천안시2020<NA>Cheonan-si주요 법정감염병 발생 및 사망행정구역(시군)별3
4DT_21303_K000060213남A발생I_2건11101BSM34020I_181Case법정감염병별119공주시2020<NA>Gongju-si주요 법정감염병 발생 및 사망행정구역(시군)별3
5DT_21303_K000060213남A발생I_2건11101BSM34020I_183Case법정감염병별23공주시2020<NA>Gongju-si주요 법정감염병 발생 및 사망행정구역(시군)별3
6DT_21303_K000060213남A발생I_2건11101BSM34030I_181Case법정감염병별88보령시2020<NA>Boryeong-si주요 법정감염병 발생 및 사망행정구역(시군)별3
7DT_21303_K000060213남A발생I_2건11101BSM34030I_183Case법정감염병별17보령시2020<NA>Boryeong-si주요 법정감염병 발생 및 사망행정구역(시군)별3
8DT_21303_K000060213남A발생I_2건11101BSM34040I_181Case법정감염병별362아산시2020<NA>Asan-si주요 법정감염병 발생 및 사망행정구역(시군)별3
9DT_21303_K000060213남A발생I_2건11101BSM34040I_183Case법정감염병별56아산시2020<NA>Asan-si주요 법정감염병 발생 및 사망행정구역(시군)별3