Overview

Dataset statistics

Number of variables5
Number of observations3498
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory143.6 KiB
Average record size in memory42.0 B

Variable types

Numeric2
Categorical2
Text1

Dataset

Description○ 내용: 해당년도 질병에 따른 항생제 종류별 사용량 ○ 대상: 해당년도 국민 건강보험 가입자 또는 의료급여수급권자 ○ 산출식 - 분자: 해당년도 내 전체 항생제 처방 용량 X 1,000명 - 분모: 국민건강보험 가입자 또는 의료급여 수급권자 수 X 365일 ※ (해석) 항생제사용량 25.68(DDD/1,000명/일)는 인구 1,000명 중 25.68명이 매일 항생제를 사용한다는 의미
URLhttps://www.data.go.kr/data/15042845/fileData.do

Alerts

지표명 has constant value ""Constant

Reproduction

Analysis started2023-12-12 15:44:17.451091
Analysis finished2023-12-12 15:44:18.493173
Duration1.04 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지표연도
Real number (ℝ)

Distinct13
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2014.9971
Minimum2009
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.9 KiB
2023-12-13T00:44:18.565712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2009
5-th percentile2009
Q12012
median2015
Q32018
95-th percentile2021
Maximum2021
Range12
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.7363792
Coefficient of variation (CV)0.0018542851
Kurtosis-1.2109899
Mean2014.9971
Median Absolute Deviation (MAD)3
Skewness0.0023734661
Sum7048460
Variance13.960529
MonotonicityIncreasing
2023-12-13T00:44:18.708671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2010 271
 
7.7%
2014 271
 
7.7%
2016 271
 
7.7%
2012 270
 
7.7%
2013 270
 
7.7%
2015 270
 
7.7%
2018 269
 
7.7%
2011 268
 
7.7%
2017 268
 
7.7%
2019 268
 
7.7%
Other values (3) 802
22.9%
ValueCountFrequency (%)
2009 266
7.6%
2010 271
7.7%
2011 268
7.7%
2012 270
7.7%
2013 270
7.7%
2014 271
7.7%
2015 270
7.7%
2016 271
7.7%
2017 268
7.7%
2018 269
7.7%
ValueCountFrequency (%)
2021 268
7.7%
2020 268
7.7%
2019 268
7.7%
2018 269
7.7%
2017 268
7.7%
2016 271
7.7%
2015 270
7.7%
2014 271
7.7%
2013 270
7.7%
2012 270
7.7%

시도
Categorical

Distinct18
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size27.5 KiB
경기도
577 
서울특별시
338 
경상북도
325 
경상남도
300 
전라남도
299 
Other values (13)
1659 

Length

Max length7
Median length5
Mean length4.1089194
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전국
2nd row서울특별시
3rd row서울특별시
4th row서울특별시
5th row서울특별시

Common Values

ValueCountFrequency (%)
경기도 577
16.5%
서울특별시 338
9.7%
경상북도 325
9.3%
경상남도 300
8.6%
전라남도 299
8.5%
강원도 247
7.1%
충청남도 225
 
6.4%
부산광역시 221
 
6.3%
전라북도 208
 
5.9%
충청북도 191
 
5.5%
Other values (8) 567
16.2%

Length

2023-12-13T00:44:18.874104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 577
16.5%
서울특별시 338
9.7%
경상북도 325
9.3%
경상남도 300
8.6%
전라남도 299
8.5%
강원도 247
7.1%
충청남도 225
 
6.4%
부산광역시 221
 
6.3%
전라북도 208
 
5.9%
충청북도 191
 
5.5%
Other values (8) 567
16.2%

시군구
Text

Distinct239
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size27.5 KiB
2023-12-13T00:44:19.246615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.3724986
Min length2

Characters and Unicode

Total characters11797
Distinct characters145
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 row전체
2nd row전체
3rd row종로구
4th row중구
5th row용산구
ValueCountFrequency (%)
전체 231
 
5.9%
동구 78
 
2.0%
중구 78
 
2.0%
남구 75
 
1.9%
서구 65
 
1.7%
북구 65
 
1.7%
창원시 62
 
1.6%
수원시 52
 
1.3%
청주시 42
 
1.1%
성남시 39
 
1.0%
Other values (237) 3136
79.9%
2023-12-13T00:44:19.767475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 1388
 
11.8%
시 1298
 
11.0%
군 1123
 
9.5%
425
 
3.6%
천 316
 
2.7%
주 303
 
2.6%
산 298
 
2.5%
양 286
 
2.4%
성 272
 
2.3%
동 260
 
2.2%
Other values (135) 5828
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11372
96.4%
Space Separator 425
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1388
 
12.2%
시 1298
 
11.4%
군 1123
 
9.9%
천 316
 
2.8%
주 303
 
2.7%
산 298
 
2.6%
양 286
 
2.5%
성 272
 
2.4%
동 260
 
2.3%
전 257
 
2.3%
Other values (134) 5571
49.0%
Space Separator
ValueCountFrequency (%)
425
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11372
96.4%
Common 425
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1388
 
12.2%
시 1298
 
11.4%
군 1123
 
9.9%
천 316
 
2.8%
주 303
 
2.7%
산 298
 
2.6%
양 286
 
2.5%
성 272
 
2.4%
동 260
 
2.3%
전 257
 
2.3%
Other values (134) 5571
49.0%
Common
ValueCountFrequency (%)
425
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11372
96.4%
ASCII 425
 
3.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 1388
 
12.2%
시 1298
 
11.4%
군 1123
 
9.9%
천 316
 
2.8%
주 303
 
2.7%
산 298
 
2.6%
양 286
 
2.5%
성 272
 
2.4%
동 260
 
2.3%
전 257
 
2.3%
Other values (134) 5571
49.0%
ASCII
ValueCountFrequency (%)
425
100.0%

지표명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size27.5 KiB
항생제사용량
3498 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
항생제사용량 3498
100.0%

Length

2023-12-13T00:44:19.911937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:44:20.022219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
항생제사용량 3498
100.0%

지표값(1일사용량_1천명당)
Real number (ℝ)

Distinct1211
Distinct (%)34.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.948831
Minimum1.3
Maximum39.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.9 KiB
2023-12-13T00:44:20.149096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.3
5-th percentile20.14
Q122.82
median24.845
Q327.0275
95-th percentile30.3815
Maximum39.07
Range37.77
Interquartile range (IQR)4.2075

Descriptive statistics

Standard deviation3.3738155
Coefficient of variation (CV)0.1352294
Kurtosis5.7024954
Mean24.948831
Median Absolute Deviation (MAD)2.095
Skewness-0.59465921
Sum87271.01
Variance11.382631
MonotonicityNot monotonic
2023-12-13T00:44:20.324502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25.24 10
 
0.3%
23.66 10
 
0.3%
23.68 10
 
0.3%
24.48 10
 
0.3%
25.56 10
 
0.3%
22.62 9
 
0.3%
22.53 9
 
0.3%
27.57 9
 
0.3%
26.7 9
 
0.3%
24.87 9
 
0.3%
Other values (1201) 3403
97.3%
ValueCountFrequency (%)
1.3 1
< 0.1%
2.54 2
0.1%
2.67 1
< 0.1%
2.76 1
< 0.1%
3.01 1
< 0.1%
3.05 1
< 0.1%
3.34 1
< 0.1%
3.48 1
< 0.1%
3.72 1
< 0.1%
3.85 1
< 0.1%
ValueCountFrequency (%)
39.07 1
< 0.1%
38.17 1
< 0.1%
37.3 1
< 0.1%
37.1 1
< 0.1%
36.65 1
< 0.1%
36.47 1
< 0.1%
36.01 1
< 0.1%
36.0 1
< 0.1%
35.67 1
< 0.1%
35.64 1
< 0.1%

Interactions

2023-12-13T00:44:18.044872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:44:17.729987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:44:18.148291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:44:17.878539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:44:20.444072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지표연도시도지표값(1일사용량_1천명당)
지표연도1.0000.0000.485
시도0.0001.0000.416
지표값(1일사용량_1천명당)0.4850.4161.000
2023-12-13T00:44:20.545548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지표연도지표값(1일사용량_1천명당)시도
지표연도1.0000.1250.000
지표값(1일사용량_1천명당)0.1251.0000.189
시도0.0000.1891.000

Missing values

2023-12-13T00:44:18.312846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:44:18.446409image/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

지표연도시도시군구지표명지표값(1일사용량_1천명당)
02009전국전체항생제사용량23.1
12009서울특별시전체항생제사용량21.71
22009서울특별시종로구항생제사용량18.8
32009서울특별시중구항생제사용량20.55
42009서울특별시용산구항생제사용량21.43
52009서울특별시성동구항생제사용량23.15
62009서울특별시광진구항생제사용량20.88
72009서울특별시동대문구항생제사용량22.01
82009서울특별시중랑구항생제사용량21.94
92009서울특별시성북구항생제사용량21.84
지표연도시도시군구지표명지표값(1일사용량_1천명당)
34882021경상남도고성군항생제사용량22.51
34892021경상남도남해군항생제사용량22.76
34902021경상남도하동군항생제사용량23.93
34912021경상남도산청군항생제사용량22.59
34922021경상남도함양군항생제사용량24.18
34932021경상남도거창군항생제사용량21.68
34942021경상남도합천군항생제사용량25.01
34952021제주특별자치도전체항생제사용량20.67
34962021제주특별자치도제주시항생제사용량20.57
34972021제주특별자치도서귀포시항생제사용량20.96