Overview

Dataset statistics

Number of variables5
Number of observations23
Missing cells28
Missing cells (%)24.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory47.6 B

Variable types

Numeric2
Text2
Categorical1

Dataset

Description인천광역시 계양구 보건소 인허가에 대한 수수료 데이터입니다. 인허가명, 처리기간, 수수료 등을 포함하는 데이터파일입니다
Author인천광역시 계양구
URLhttps://www.data.go.kr/data/15100790/fileData.do

Alerts

수수료 has 8 (34.8%) missing valuesMissing
비고 has 20 (87.0%) missing valuesMissing
연번 has unique valuesUnique
인허가명 has unique valuesUnique

Reproduction

Analysis started2024-03-14 23:44:14.488698
Analysis finished2024-03-14 23:44:16.406607
Duration1.92 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.0 B
2024-03-15T08:44:16.560160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.1
Q16.5
median12
Q317.5
95-th percentile21.9
Maximum23
Range22
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.78233
Coefficient of variation (CV)0.56519417
Kurtosis-1.2
Mean12
Median Absolute Deviation (MAD)6
Skewness0
Sum276
Variance46
MonotonicityStrictly increasing
2024-03-15T08:44:16.868022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 1
 
4.3%
2 1
 
4.3%
23 1
 
4.3%
22 1
 
4.3%
21 1
 
4.3%
20 1
 
4.3%
19 1
 
4.3%
18 1
 
4.3%
17 1
 
4.3%
16 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1 1
4.3%
2 1
4.3%
3 1
4.3%
4 1
4.3%
5 1
4.3%
6 1
4.3%
7 1
4.3%
8 1
4.3%
9 1
4.3%
10 1
4.3%
ValueCountFrequency (%)
23 1
4.3%
22 1
4.3%
21 1
4.3%
20 1
4.3%
19 1
4.3%
18 1
4.3%
17 1
4.3%
16 1
4.3%
15 1
4.3%
14 1
4.3%

인허가명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size312.0 B
2024-03-15T08:44:17.545661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length22
Mean length16.173913
Min length9

Characters and Unicode

Total characters372
Distinct characters66
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row의료기관 개설 허가
2nd row의료기관 개설 신고(안마시술소 포함)
3rd row의료기관 개설 허가사항 변경
4th row의료기관 개설 신고사항 변경(안마시술소 포함)
5th row의료기관 휴·폐업 신고
ValueCountFrequency (%)
신고 9
 
9.8%
개설 8
 
8.7%
신청 6
 
6.5%
의료기기 5
 
5.4%
의료기관 5
 
5.4%
신고사항 4
 
4.3%
변경 4
 
4.3%
치과기공소 3
 
3.3%
약국 3
 
3.3%
등록 3
 
3.3%
Other values (30) 42
45.7%
2024-03-15T08:44:18.878680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
69
18.5%
신 23
 
6.2%
기 19
 
5.1%
고 18
 
4.8%
업 17
 
4.6%
의 14
 
3.8%
료 11
 
3.0%
경 10
 
2.7%
소 10
 
2.7%
개 9
 
2.4%
Other values (56) 172
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 286
76.9%
Space Separator 69
 
18.5%
Other Punctuation 7
 
1.9%
Close Punctuation 5
 
1.3%
Open Punctuation 5
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
신 23
 
8.0%
기 19
 
6.6%
고 18
 
6.3%
업 17
 
5.9%
의 14
 
4.9%
료 11
 
3.8%
경 10
 
3.5%
소 10
 
3.5%
개 9
 
3.1%
사 9
 
3.1%
Other values (51) 146
51.0%
Other Punctuation
ValueCountFrequency (%)
, 4
57.1%
· 3
42.9%
Space Separator
ValueCountFrequency (%)
69
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 286
76.9%
Common 86
 
23.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
신 23
 
8.0%
기 19
 
6.6%
고 18
 
6.3%
업 17
 
5.9%
의 14
 
4.9%
료 11
 
3.8%
경 10
 
3.5%
소 10
 
3.5%
개 9
 
3.1%
사 9
 
3.1%
Other values (51) 146
51.0%
Common
ValueCountFrequency (%)
69
80.2%
) 5
 
5.8%
( 5
 
5.8%
, 4
 
4.7%
· 3
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 286
76.9%
ASCII 83
 
22.3%
None 3
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
69
83.1%
) 5
 
6.0%
( 5
 
6.0%
, 4
 
4.8%
Hangul
ValueCountFrequency (%)
신 23
 
8.0%
기 19
 
6.6%
고 18
 
6.3%
업 17
 
5.9%
의 14
 
4.9%
료 11
 
3.8%
경 10
 
3.5%
소 10
 
3.5%
개 9
 
3.1%
사 9
 
3.1%
Other values (51) 146
51.0%
None
ValueCountFrequency (%)
· 3
100.0%

처리기간
Categorical

Distinct7
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Memory size312.0 B
10일
6 
7일
6 
3일
5 
즉시
3 
7일(약국3일)
1 
Other values (2)
2 

Length

Max length34
Median length2
Mean length3.9130435
Min length2

Unique

Unique3 ?
Unique (%)13.0%

Sample

1st row10일
2nd row10일
3rd row10일
4th row10일
5th row3일

Common Values

ValueCountFrequency (%)
10일 6
26.1%
7일 6
26.1%
3일 5
21.7%
즉시 3
13.0%
7일(약국3일) 1
 
4.3%
6일 1
 
4.3%
폐업, 그 밖의 등록사항 변경 : 즉시 개설 장소 변경: 2일 1
 
4.3%

Length

2024-03-15T08:44:19.515293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:44:19.836980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10일 6
18.2%
7일 6
18.2%
3일 5
15.2%
즉시 4
12.1%
변경 2
 
6.1%
7일(약국3일 1
 
3.0%
6일 1
 
3.0%
폐업 1
 
3.0%
그 1
 
3.0%
밖의 1
 
3.0%
Other values (5) 5
15.2%

수수료
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)53.3%
Missing8
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean23033.333
Minimum500
Maximum100000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.0 B
2024-03-15T08:44:20.072357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum500
5-th percentile3650
Q110000
median10000
Q332500
95-th percentile65000
Maximum100000
Range99500
Interquartile range (IQR)22500

Descriptive statistics

Standard deviation25935.681
Coefficient of variation (CV)1.1260064
Kurtosis5.0782387
Mean23033.333
Median Absolute Deviation (MAD)5000
Skewness2.1204253
Sum345500
Variance6.7265952 × 108
MonotonicityNot monotonic
2024-03-15T08:44:20.428478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
10000 6
26.1%
40000 2
 
8.7%
5000 2
 
8.7%
100000 1
 
4.3%
20000 1
 
4.3%
500 1
 
4.3%
50000 1
 
4.3%
25000 1
 
4.3%
(Missing) 8
34.8%
ValueCountFrequency (%)
500 1
 
4.3%
5000 2
 
8.7%
10000 6
26.1%
20000 1
 
4.3%
25000 1
 
4.3%
40000 2
 
8.7%
50000 1
 
4.3%
100000 1
 
4.3%
ValueCountFrequency (%)
100000 1
 
4.3%
50000 1
 
4.3%
40000 2
 
8.7%
25000 1
 
4.3%
20000 1
 
4.3%
10000 6
26.1%
5000 2
 
8.7%
500 1
 
4.3%

비고
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing20
Missing (%)87.0%
Memory size312.0 B
2024-03-15T08:44:21.001006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length14.666667
Min length12

Characters and Unicode

Total characters44
Distinct characters19
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)33.3%

Sample

1st row소재지 이전 등에 한함
2nd row소재지 이전 등에 한함
3rd row대표자, 소재지에 따라 수수료 상이함
ValueCountFrequency (%)
소재지 2
15.4%
이전 2
15.4%
등에 2
15.4%
한함 2
15.4%
대표자 1
7.7%
소재지에 1
7.7%
따라 1
7.7%
수수료 1
7.7%
상이함 1
7.7%
2024-03-15T08:44:22.030437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10
22.7%
소 3
 
6.8%
에 3
 
6.8%
재 3
 
6.8%
함 3
 
6.8%
이 3
 
6.8%
지 3
 
6.8%
전 2
 
4.5%
등 2
 
4.5%
한 2
 
4.5%
Other values (9) 10
22.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33
75.0%
Space Separator 10
 
22.7%
Other Punctuation 1
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 3
9.1%
에 3
9.1%
재 3
9.1%
함 3
9.1%
이 3
9.1%
지 3
9.1%
전 2
 
6.1%
등 2
 
6.1%
한 2
 
6.1%
수 2
 
6.1%
Other values (7) 7
21.2%
Space Separator
ValueCountFrequency (%)
10
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33
75.0%
Common 11
 
25.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 3
9.1%
에 3
9.1%
재 3
9.1%
함 3
9.1%
이 3
9.1%
지 3
9.1%
전 2
 
6.1%
등 2
 
6.1%
한 2
 
6.1%
수 2
 
6.1%
Other values (7) 7
21.2%
Common
ValueCountFrequency (%)
10
90.9%
, 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33
75.0%
ASCII 11
 
25.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10
90.9%
, 1
 
9.1%
Hangul
ValueCountFrequency (%)
소 3
9.1%
에 3
9.1%
재 3
9.1%
함 3
9.1%
이 3
9.1%
지 3
9.1%
전 2
 
6.1%
등 2
 
6.1%
한 2
 
6.1%
수 2
 
6.1%
Other values (7) 7
21.2%

Interactions

2024-03-15T08:44:15.174348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:44:14.760683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:44:15.311666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:44:14.987858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T08:44:22.286091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번인허가명처리기간수수료비고
연번1.0001.0000.6060.6641.000
인허가명1.0001.0001.0001.0001.000
처리기간0.6061.0001.0000.000NaN
수수료0.6641.0000.0001.0001.000
비고1.0001.000NaN1.0001.000
2024-03-15T08:44:22.559647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번수수료처리기간
연번1.000-0.3640.348
수수료-0.3641.0000.000
처리기간0.3480.0001.000

Missing values

2024-03-15T08:44:15.639724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T08:44:16.052701image/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.
2024-03-15T08:44:16.318882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번인허가명처리기간수수료비고
01의료기관 개설 허가10일100000<NA>
12의료기관 개설 신고(안마시술소 포함)10일40000<NA>
23의료기관 개설 허가사항 변경10일40000소재지 이전 등에 한함
34의료기관 개설 신고사항 변경(안마시술소 포함)10일20000소재지 이전 등에 한함
45의료기관 휴·폐업 신고3일<NA><NA>
56약국 개설 등록 신청7일10000<NA>
67약국 등록사항 변경 신청7일5000<NA>
78약국, 의약품 판매업, 안전상비의약품 판매업 휴·폐업, 업무재개 신고7일(약국3일)<NA><NA>
89사고 마약류 등의 폐기 신청7일<NA><NA>
910마약류(원료) 양도승인 신청6일<NA><NA>
연번인허가명처리기간수수료비고
1314치과기공소 양도양수 신고즉시10000<NA>
1415안경업소 양도양수 신고즉시10000<NA>
1516의료기기 판매(임대)업 신고3일10000<NA>
1617의료기기 판매(임대)업 신고사항 변경신고3일5000<NA>
1718의료기기 영업의 휴·폐업 등 신고7일<NA><NA>
1819소독업 개설 신고7일<NA><NA>
1920소독업 신고사항 변경신고7일<NA><NA>
2021사실확인증명원 발급즉시500<NA>
2122의료기기 수리업 신고10일50000<NA>
2223의료기기 수리업 신고사항 변경 신고서10일25000대표자, 소재지에 따라 수수료 상이함