Overview

Dataset statistics

Number of variables22
Number of observations10000
Missing cells32
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 MiB
Average record size in memory190.0 B

Variable types

Categorical18
Numeric2
Text2

Dataset

Description어린이 예방접종률을 지역별, 백신별(결핵, B형간염, 디프테리아 등), 연령별, 성별로 나타낸 데이터
Author충청남도
URLhttps://alldam.chungnam.go.kr/bigdata/collect/view.chungnam?menuCd=DOM_000000201001001000&apiIdx=3105

Alerts

통계표ID has constant value ""Constant
기관코드 has constant value ""Constant
수록주기 has constant value ""Constant
항목명 has constant value ""Constant
항목 ID has constant value ""Constant
단위명 has constant value ""Constant
단위영문명 has constant value ""Constant
분류명2 has constant value ""Constant
수록시점 has constant value ""Constant
통계표명 has constant value ""Constant
분류명1 has constant value ""Constant
분류명3 has constant value ""Constant
수집날짜 has constant value ""Constant

Reproduction

Analysis started2024-01-09 22:12:44.760242
Analysis finished2024-01-09 22:12:45.300414
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

통계표ID
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
DT_11793N_171
10000 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDT_11793N_171
2nd rowDT_11793N_171
3rd rowDT_11793N_171
4th rowDT_11793N_171
5th rowDT_11793N_171

Common Values

ValueCountFrequency (%)
DT_11793N_171 10000
100.0%

Length

2024-01-10T07:12:45.350560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:12:45.424237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
dt_11793n_171 10000
100.0%

기관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
177
10000 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row177
2nd row177
3rd row177
4th row177
5th row177

Common Values

ValueCountFrequency (%)
177 10000
100.0%

Length

2024-01-10T07:12:45.493748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:12:45.577573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
177 10000
100.0%

분류값 명3
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
남자
3368 
계
3342 
여자
3290 

Length

Max length2
Median length2
Mean length1.6658
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row계
2nd row남자
3rd row여자
4th row계
5th row계

Common Values

ValueCountFrequency (%)
남자 3368
33.7%
계 3342
33.4%
여자 3290
32.9%

Length

2024-01-10T07:12:45.674227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:12:45.777320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남자 3368
33.7%
계 3342
33.4%
여자 3290
32.9%

분류값 명2
Categorical

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폴리오(IPV)
1081 
디프테리아 파상풍 백일해(DTaP)
1077 
완전접종률
1070 
결핵(BCG)
1044 
b형헤모필루스인플루엔자(Hib)
1043 
Other values (6)
4685 

Length

Max length19
Median length17
Mean length10.8149
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowb형헤모필루스인플루엔자(Hib)
2nd rowb형헤모필루스인플루엔자(Hib)
3rd row결핵(BCG)
4th row폐렴구균(PCV)
5th row홍역 유행성이하선염 풍진(MMR)

Common Values

ValueCountFrequency (%)
폴리오(IPV) 1081
10.8%
디프테리아 파상풍 백일해(DTaP) 1077
10.8%
완전접종률 1070
10.7%
결핵(BCG) 1044
10.4%
b형헤모필루스인플루엔자(Hib) 1043
10.4%
B형간염(HepB) 1028
10.3%
폐렴구균(PCV) 1024
10.2%
수두(VAR) 819
8.2%
홍역 유행성이하선염 풍진(MMR) 778
7.8%
A형간염(HepA) 564
5.6%

Length

2024-01-10T07:12:45.864675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
폴리오(ipv 1081
 
7.9%
디프테리아 1077
 
7.9%
파상풍 1077
 
7.9%
백일해(dtap 1077
 
7.9%
완전접종률 1070
 
7.8%
결핵(bcg 1044
 
7.6%
b형헤모필루스인플루엔자(hib 1043
 
7.6%
b형간염(hepb 1028
 
7.5%
폐렴구균(pcv 1024
 
7.5%
수두(var 819
 
6.0%
Other values (5) 3370
24.6%

수록주기
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
A
10000 

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 10000
100.0%

Length

2024-01-10T07:12:45.958255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:12:46.024368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a 10000
100.0%

항목명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
예방접종률
10000 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
예방접종률 10000
100.0%

Length

2024-01-10T07:12:46.093500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:12:46.162942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
예방접종률 10000
100.0%

항목 ID
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
T001
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowT001
2nd rowT001
3rd rowT001
4th rowT001
5th rowT001

Common Values

ValueCountFrequency (%)
T001 10000
100.0%

Length

2024-01-10T07:12:46.233492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:12:46.300576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
t001 10000
100.0%

단위명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
%
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
% 10000
100.0%

Length

2024-01-10T07:12:46.373231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:12:46.440439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10000
100.0%

분류값 ID1
Real number (ℝ)

Distinct282
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27985.079
Minimum0
Maximum39020
Zeros32
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T07:12:46.529501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile35
Q123020
median31280
Q336010
95-th percentile38060
Maximum39020
Range39020
Interquartile range (IQR)12990

Descriptive statistics

Standard deviation10649.066
Coefficient of variation (CV)0.38052658
Kurtosis0.87790902
Mean27985.079
Median Absolute Deviation (MAD)5240
Skewness-1.3520673
Sum2.7985079 × 108
Variance1.1340261 × 108
MonotonicityNot monotonic
2024-01-10T07:12:46.652029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11030 48
 
0.5%
21060 47
 
0.5%
36040 46
 
0.5%
22330 46
 
0.5%
21040 46
 
0.5%
37070 46
 
0.5%
11020 46
 
0.5%
37370 46
 
0.5%
35010 45
 
0.4%
36380 45
 
0.4%
Other values (272) 9539
95.4%
ValueCountFrequency (%)
0 32
0.3%
11 37
0.4%
21 32
0.3%
22 35
0.4%
23 38
0.4%
24 41
0.4%
25 37
0.4%
26 35
0.4%
29 35
0.4%
31 33
0.3%
ValueCountFrequency (%)
39020 32
0.3%
39010 40
0.4%
38400 32
0.3%
38390 40
0.4%
38380 31
0.3%
38370 26
0.3%
38360 34
0.3%
38350 42
0.4%
38340 33
0.3%
38330 31
0.3%

분류값 ID2
Categorical

Distinct38
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
A0311
 
301
A0308
 
283
A0604
 
282
A0303
 
279
A0608
 
276
Other values (33)
8579 

Length

Max length5
Median length5
Mean length4.4654
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowA0205
2nd rowA0205
3rd rowA0601
4th rowV6
5th rowA0207

Common Values

ValueCountFrequency (%)
A0311 301
 
3.0%
A0308 283
 
2.8%
A0604 282
 
2.8%
A0303 279
 
2.8%
A0608 276
 
2.8%
A0305 276
 
2.8%
A0606 275
 
2.8%
A0209 275
 
2.8%
A0203 275
 
2.8%
A0601 274
 
2.7%
Other values (28) 7204
72.0%

Length

2024-01-10T07:12:46.764802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
a0311 301
 
3.0%
a0308 283
 
2.8%
a0604 282
 
2.8%
a0303 279
 
2.8%
a0608 276
 
2.8%
a0305 276
 
2.8%
a0606 275
 
2.8%
a0209 275
 
2.8%
a0203 275
 
2.8%
a0204 274
 
2.7%
Other values (28) 7204
72.0%

단위영문명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
%
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
% 10000
100.0%

Length

2024-01-10T07:12:46.857165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:12:46.926614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10000
100.0%

분류명2
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
백신별
10000 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
백신별 10000
100.0%

Length

2024-01-10T07:12:46.994435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:12:47.063225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
백신별 10000
100.0%

수치값
Real number (ℝ)

Distinct227
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.63708
Minimum64.1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T07:12:47.139944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum64.1
5-th percentile89.1
Q194.7
median96.6
Q397.7
95-th percentile98.9
Maximum100
Range35.9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.3155851
Coefficient of variation (CV)0.034668406
Kurtosis9.0090422
Mean95.63708
Median Absolute Deviation (MAD)1.4
Skewness-2.339984
Sum956370.8
Variance10.993104
MonotonicityNot monotonic
2024-01-10T07:12:47.248026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97.2 264
 
2.6%
97.3 240
 
2.4%
97.5 234
 
2.3%
97.6 231
 
2.3%
97.4 230
 
2.3%
97.7 227
 
2.3%
97.1 223
 
2.2%
96.9 219
 
2.2%
98.4 218
 
2.2%
98.0 217
 
2.2%
Other values (217) 7697
77.0%
ValueCountFrequency (%)
64.1 1
< 0.1%
66.2 1
< 0.1%
69.2 1
< 0.1%
70.0 1
< 0.1%
70.4 1
< 0.1%
70.6 1
< 0.1%
71.3 1
< 0.1%
71.7 1
< 0.1%
72.1 1
< 0.1%
72.5 1
< 0.1%
ValueCountFrequency (%)
100.0 177
1.8%
99.8 2
 
< 0.1%
99.6 4
 
< 0.1%
99.5 17
 
0.2%
99.4 23
 
0.2%
99.3 30
 
0.3%
99.2 39
 
0.4%
99.1 60
 
0.6%
99.0 66
 
0.7%
98.9 83
0.8%

분류값 ID3
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
3368 
0
3342 
2
3290 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row2
4th row0
5th row0

Common Values

ValueCountFrequency (%)
1 3368
33.7%
0 3342
33.4%
2 3290
32.9%

Length

2024-01-10T07:12:47.347934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:12:47.420955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3368
33.7%
0 3342
33.4%
2 3290
32.9%

분류값 명1
Text

Distinct260
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-10T07:12:47.674464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.557
Min length2

Characters and Unicode

Total characters35570
Distinct characters151
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row동작구
2nd row오산시
3rd row부천시 오정구
4th row은평구
5th row고성군
ValueCountFrequency (%)
중구 220
 
2.0%
동구 212
 
1.9%
창원시 212
 
1.9%
서구 179
 
1.6%
북구 177
 
1.6%
수원시 177
 
1.6%
남구 172
 
1.5%
청주시 160
 
1.4%
성남시 138
 
1.2%
용인시 134
 
1.2%
Other values (248) 9431
84.1%
2024-01-10T07:12:48.067047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 4285
 
12.0%
구 3813
 
10.7%
군 3080
 
8.7%
1212
 
3.4%
주 998
 
2.8%
천 984
 
2.8%
산 915
 
2.6%
양 865
 
2.4%
성 768
 
2.2%
원 746
 
2.1%
Other values (141) 17904
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34358
96.6%
Space Separator 1212
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 4285
 
12.5%
구 3813
 
11.1%
군 3080
 
9.0%
주 998
 
2.9%
천 984
 
2.9%
산 915
 
2.7%
양 865
 
2.5%
성 768
 
2.2%
원 746
 
2.2%
남 738
 
2.1%
Other values (140) 17166
50.0%
Space Separator
ValueCountFrequency (%)
1212
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34358
96.6%
Common 1212
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 4285
 
12.5%
구 3813
 
11.1%
군 3080
 
9.0%
주 998
 
2.9%
천 984
 
2.9%
산 915
 
2.7%
양 865
 
2.5%
성 768
 
2.2%
원 746
 
2.2%
남 738
 
2.1%
Other values (140) 17166
50.0%
Common
ValueCountFrequency (%)
1212
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34358
96.6%
ASCII 1212
 
3.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 4285
 
12.5%
구 3813
 
11.1%
군 3080
 
9.0%
주 998
 
2.9%
천 984
 
2.9%
산 915
 
2.7%
양 865
 
2.5%
성 768
 
2.2%
원 746
 
2.2%
남 738
 
2.1%
Other values (140) 17166
50.0%
ASCII
ValueCountFrequency (%)
1212
100.0%

수록시점
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2022
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 10000
100.0%

Length

2024-01-10T07:12:48.170014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:12:48.237879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 10000
100.0%

분류값 영문명2
Categorical

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
IPV
1081 
DTaP
1077 
BCG
1044 
Hib
1043 
HepB
1028 
Other values (7)
4727 

Length

Max length21
Median length3
Mean length3.7738
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowHib
2nd rowHib
3rd rowBCG
4th rowPCV
5th rowMMR

Common Values

ValueCountFrequency (%)
IPV 1081
10.8%
DTaP 1077
10.8%
BCG 1044
10.4%
Hib 1043
10.4%
HepB 1028
10.3%
PCV 1024
10.2%
VAR 819
8.2%
<NA> 807
8.1%
MMR 778
7.8%
HepA 564
5.6%
Other values (2) 735
7.3%

Length

2024-01-10T07:12:48.313448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
ipv 1081
10.0%
dtap 1077
10.0%
bcg 1044
9.7%
hib 1043
9.7%
hepb 1028
9.5%
pcv 1024
9.5%
var 819
7.6%
na 807
7.5%
mmr 778
7.2%
hepa 564
 
5.2%
Other values (5) 1524
14.1%

분류값 영문명1
Text

Distinct255
Distinct (%)2.6%
Missing32
Missing (%)0.3%
Memory size156.2 KiB
2024-01-10T07:12:48.529897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length9.8416934
Min length5

Characters and Unicode

Total characters98102
Distinct characters42
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDongjak-gu
2nd rowOsan-si
3rd rowOjeong-gu
4th rowEunpyeong-gu
5th rowGoseong-gun
ValueCountFrequency (%)
dong-gu 240
 
2.4%
jung-gu 220
 
2.2%
seo-gu 206
 
2.1%
nam-gu 204
 
2.0%
buk-gu 177
 
1.8%
sejong-si 74
 
0.7%
gangseo-gu 72
 
0.7%
goseong-gun 65
 
0.6%
ilsan 55
 
0.5%
yongsan-gu 48
 
0.5%
Other values (244) 8662
86.4%
2024-01-10T07:12:48.852372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 14036
14.3%
g 13103
13.4%
u 10065
10.3%
- 9713
9.9%
o 7888
 
8.0%
e 6028
 
6.1%
a 5972
 
6.1%
s 4559
 
4.6%
i 4084
 
4.2%
h 2257
 
2.3%
Other values (32) 20397
20.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 78284
79.8%
Uppercase Letter 10023
 
10.2%
Dash Punctuation 9713
 
9.9%
Space Separator 82
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 14036
17.9%
g 13103
16.7%
u 10065
12.9%
o 7888
10.1%
e 6028
7.7%
a 5972
7.6%
s 4559
 
5.8%
i 4084
 
5.2%
h 2257
 
2.9%
j 1537
 
2.0%
Other values (11) 8755
11.2%
Uppercase Letter
ValueCountFrequency (%)
G 1816
18.1%
S 1424
14.2%
Y 1023
10.2%
J 955
9.5%
D 934
9.3%
C 540
 
5.4%
B 521
 
5.2%
H 519
 
5.2%
N 473
 
4.7%
U 321
 
3.2%
Other values (9) 1497
14.9%
Dash Punctuation
ValueCountFrequency (%)
- 9713
100.0%
Space Separator
ValueCountFrequency (%)
82
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 88307
90.0%
Common 9795
 
10.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 14036
15.9%
g 13103
14.8%
u 10065
11.4%
o 7888
8.9%
e 6028
 
6.8%
a 5972
 
6.8%
s 4559
 
5.2%
i 4084
 
4.6%
h 2257
 
2.6%
G 1816
 
2.1%
Other values (30) 18499
20.9%
Common
ValueCountFrequency (%)
- 9713
99.2%
82
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 98102
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 14036
14.3%
g 13103
13.4%
u 10065
10.3%
- 9713
9.9%
o 7888
 
8.0%
e 6028
 
6.1%
a 5972
 
6.1%
s 4559
 
4.6%
i 4084
 
4.2%
h 2257
 
2.3%
Other values (32) 20397
20.8%

통계표명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
지역별/백신별/성별 예방접종률
10000 

Length

Max length16
Median length16
Mean length16
Min length16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row지역별/백신별/성별 예방접종률
2nd row지역별/백신별/성별 예방접종률
3rd row지역별/백신별/성별 예방접종률
4th row지역별/백신별/성별 예방접종률
5th row지역별/백신별/성별 예방접종률

Common Values

ValueCountFrequency (%)
지역별/백신별/성별 예방접종률 10000
100.0%

Length

2024-01-10T07:12:48.967290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:12:49.045791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지역별/백신별/성별 10000
50.0%
예방접종률 10000
50.0%

분류명1
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
행정구역별
10000 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
행정구역별 10000
100.0%

Length

2024-01-10T07:12:49.140460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:12:49.237249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
행정구역별 10000
100.0%

분류명3
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
성별
10000 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
성별 10000
100.0%

Length

2024-01-10T07:12:49.333563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:12:49.428723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성별 10000
100.0%

수집날짜
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
20231109
10000 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20231109
2nd row20231109
3rd row20231109
4th row20231109
5th row20231109

Common Values

ValueCountFrequency (%)
20231109 10000
100.0%

Length

2024-01-10T07:12:49.526960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:12:49.614479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20231109 10000
100.0%

Sample

통계표ID기관코드분류값 명3분류값 명2수록주기항목명항목 ID단위명분류값 ID1분류값 ID2단위영문명분류명2수치값분류값 ID3분류값 명1수록시점분류값 영문명2분류값 영문명1통계표명분류명1분류명3수집날짜
2406DT_11793N_171177계b형헤모필루스인플루엔자(Hib)A예방접종률T001%11200A0205%백신별93.80동작구2022HibDongjak-gu지역별/백신별/성별 예방접종률행정구역별성별20231109
13237DT_11793N_171177남자b형헤모필루스인플루엔자(Hib)A예방접종률T001%31140A0205%백신별94.41오산시2022HibOsan-si지역별/백신별/성별 예방접종률행정구역별성별20231109
11690DT_11793N_171177여자결핵(BCG)A예방접종률T001%31053A0601%백신별95.32부천시 오정구2022BCGOjeong-gu지역별/백신별/성별 예방접종률행정구역별성별20231109
1590DT_11793N_171177계폐렴구균(PCV)A예방접종률T001%11120V6%백신별95.90은평구2022PCVEunpyeong-gu지역별/백신별/성별 예방접종률행정구역별성별20231109
31026DT_11793N_171177계홍역 유행성이하선염 풍진(MMR)A예방접종률T001%38340A0207%백신별95.20고성군2022MMRGoseong-gun지역별/백신별/성별 예방접종률행정구역별성별20231109
11333DT_11793N_171177여자홍역 유행성이하선염 풍진(MMR)A예방접종률T001%31050A0307%백신별97.42부천시2022MMRBucheon-si지역별/백신별/성별 예방접종률행정구역별성별20231109
17090DT_11793N_171177여자폴리오(IPV)A예방접종률T001%32350V4%백신별100.02정선군2022IPVJeongseon-gun지역별/백신별/성별 예방접종률행정구역별성별20231109
4329DT_11793N_171177계완전접종률A예방접종률T001%21100Y1%백신별95.90사하구2022Coverage at 12 monthsSaha-gu지역별/백신별/성별 예방접종률행정구역별성별20231109
7340DT_11793N_171177여자폐렴구균(PCV)A예방접종률T001%23320A0306%백신별94.12옹진군2022PCVOngjin-gun지역별/백신별/성별 예방접종률행정구역별성별20231109
10039DT_11793N_171177남자디프테리아 파상풍 백일해(DTaP)A예방접종률T001%31012A0203%백신별96.81수원시 권선구2022DTaPKwonson-gu지역별/백신별/성별 예방접종률행정구역별성별20231109
통계표ID기관코드분류값 명3분류값 명2수록주기항목명항목 ID단위명분류값 ID1분류값 ID2단위영문명분류명2수치값분류값 ID3분류값 명1수록시점분류값 영문명2분류값 영문명1통계표명분류명1분류명3수집날짜
9787DT_11793N_171177남자B형간염(HepB)A예방접종률T001%31V2%백신별97.01경기도2022HepBGyeonggi-do지역별/백신별/성별 예방접종률행정구역별성별20231109
6828DT_11793N_171177계폴리오(IPV)A예방접종률T001%23050V4%백신별96.60남동구2022IPVNamdong-gu지역별/백신별/성별 예방접종률행정구역별성별20231109
12373DT_11793N_171177남자결핵(BCG)A예방접종률T001%31092A0601%백신별98.11안산시 단원구2022BCGDanweon-gu지역별/백신별/성별 예방접종률행정구역별성별20231109
30908DT_11793N_171177여자b형헤모필루스인플루엔자(Hib)A예방접종률T001%38330A0205%백신별95.12창녕군2022HibChangnyeong-gun지역별/백신별/성별 예방접종률행정구역별성별20231109
18188DT_11793N_171177여자결핵(BCG)A예방접종률T001%33012A0601%백신별98.72청주시 서원구2022BCGSeowon-gu지역별/백신별/성별 예방접종률행정구역별성별20231109
21291DT_11793N_171177계폐렴구균(PCV)A예방접종률T001%34340A0610%백신별98.20청양군2022PCVCheongyang-gun지역별/백신별/성별 예방접종률행정구역별성별20231109
3057DT_11793N_171177계결핵(BCG)A예방접종률T001%11250V1%백신별96.90강동구2022BCGGangdong-gu지역별/백신별/성별 예방접종률행정구역별성별20231109
5194DT_11793N_171177남자B형간염(HepB)A예방접종률T001%22010A0602%백신별96.81중구2022HepBJung-gu지역별/백신별/성별 예방접종률행정구역별성별20231109
11686DT_11793N_171177남자A형간염(HepA)A예방접종률T001%31053A0311%백신별93.91부천시 오정구2022HepAOjeong-gu지역별/백신별/성별 예방접종률행정구역별성별20231109
1968DT_11793N_171177계B형간염(HepB)A예방접종률T001%11160A0302%백신별96.50강서구2022HepBGangseo-gu지역별/백신별/성별 예방접종률행정구역별성별20231109