Overview

Dataset statistics

Number of variables4
Number of observations247
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.1 KiB
Average record size in memory33.5 B

Variable types

Numeric1
Text3

Dataset

Description세종특별자치시 폐의약품 수거함 현황에 대한 정보를 제공합니다.데이터는 수거함 명칭, 수거함 위치에 대한 도로명 주소, 지번주소로 구성되어 있습니다.사용하지 않는 의약품은 보건소, 주민센터, 면사무소, 약국, 우체통을 이용하여 폐기처리 할 수 있습니다.
Author세종특별자치시
URLhttps://www.data.go.kr/data/15113176/fileData.do

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2024-03-15 00:49:10.659009
Analysis finished2024-03-15 00:49:12.046537
Duration1.39 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct247
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124
Minimum1
Maximum247
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-03-15T09:49:12.312140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.3
Q162.5
median124
Q3185.5
95-th percentile234.7
Maximum247
Range246
Interquartile range (IQR)123

Descriptive statistics

Standard deviation71.44695
Coefficient of variation (CV)0.57618508
Kurtosis-1.2
Mean124
Median Absolute Deviation (MAD)62
Skewness0
Sum30628
Variance5104.6667
MonotonicityStrictly increasing
2024-03-15T09:49:12.857800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
171 1
 
0.4%
158 1
 
0.4%
159 1
 
0.4%
160 1
 
0.4%
161 1
 
0.4%
162 1
 
0.4%
163 1
 
0.4%
164 1
 
0.4%
165 1
 
0.4%
Other values (237) 237
96.0%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
247 1
0.4%
246 1
0.4%
245 1
0.4%
244 1
0.4%
243 1
0.4%
242 1
0.4%
241 1
0.4%
240 1
0.4%
239 1
0.4%
238 1
0.4%

수거함 명칭
Text

Distinct207
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-03-15T09:49:13.926690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length5.1012146
Min length3

Characters and Unicode

Total characters1260
Distinct characters209
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique206 ?
Unique (%)83.4%

Sample

1st row세종특별자치시보건소
2nd row남부통합보건지소
3rd row부강면보건지소
4th row소정면보건지소
5th row연동면보건지소
ValueCountFrequency (%)
우체통 41
 
16.1%
약국 3
 
1.2%
온누리 2
 
0.8%
메디팜이화약국 1
 
0.4%
참고운약국 1
 
0.4%
해오름 1
 
0.4%
미소약국 1
 
0.4%
데일리약국 1
 
0.4%
메디팜365약국 1
 
0.4%
엘약국 1
 
0.4%
Other values (202) 202
79.2%
2024-03-15T09:49:15.607565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 163
 
12.9%
약 163
 
12.9%
우 47
 
3.7%
통 42
 
3.3%
체 41
 
3.3%
소 31
 
2.5%
건 22
 
1.7%
지 21
 
1.7%
종 20
 
1.6%
보 20
 
1.6%
Other values (199) 690
54.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1230
97.6%
Decimal Number 16
 
1.3%
Space Separator 8
 
0.6%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 163
 
13.3%
약 163
 
13.3%
우 47
 
3.8%
통 42
 
3.4%
체 41
 
3.3%
소 31
 
2.5%
건 22
 
1.8%
지 21
 
1.7%
종 20
 
1.6%
보 20
 
1.6%
Other values (190) 660
53.7%
Decimal Number
ValueCountFrequency (%)
5 6
37.5%
3 5
31.2%
6 4
25.0%
1 1
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
N 1
50.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1230
97.6%
Common 28
 
2.2%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 163
 
13.3%
약 163
 
13.3%
우 47
 
3.8%
통 42
 
3.4%
체 41
 
3.3%
소 31
 
2.5%
건 22
 
1.8%
지 21
 
1.7%
종 20
 
1.6%
보 20
 
1.6%
Other values (190) 660
53.7%
Common
ValueCountFrequency (%)
8
28.6%
5 6
21.4%
3 5
17.9%
6 4
14.3%
( 2
 
7.1%
) 2
 
7.1%
1 1
 
3.6%
Latin
ValueCountFrequency (%)
K 1
50.0%
N 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1230
97.6%
ASCII 30
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 163
 
13.3%
약 163
 
13.3%
우 47
 
3.8%
통 42
 
3.4%
체 41
 
3.3%
소 31
 
2.5%
건 22
 
1.8%
지 21
 
1.7%
종 20
 
1.6%
보 20
 
1.6%
Other values (190) 660
53.7%
ASCII
ValueCountFrequency (%)
8
26.7%
5 6
20.0%
3 5
16.7%
6 4
13.3%
( 2
 
6.7%
) 2
 
6.7%
K 1
 
3.3%
N 1
 
3.3%
1 1
 
3.3%

도로명주소
Text

Distinct229
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-03-15T09:49:16.371218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length17.578947
Min length14

Characters and Unicode

Total characters4342
Distinct characters127
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique213 ?
Unique (%)86.2%

Sample

1st row세종특별자치시 조치원읍 대첩로 32
2nd row세종특별자치시 새롬로 14
3rd row세종특별자치시 부강면 부강5길 38
4th row세종특별자치시 소정면 소정구길 201
5th row세종특별자치시 연동면 장욱진로 7
ValueCountFrequency (%)
세종특별자치시 247
29.9%
조치원읍 43
 
5.2%
한누리대로 38
 
4.6%
보듬3로 18
 
2.2%
새내로 12
 
1.5%
마음로 10
 
1.2%
새롬중앙로 10
 
1.2%
부강면 8
 
1.0%
금남면 8
 
1.0%
연서면 7
 
0.8%
Other values (278) 424
51.4%
2024-03-15T09:49:17.530385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
632
14.6%
치 300
 
6.9%
세 256
 
5.9%
종 254
 
5.8%
시 250
 
5.8%
특 247
 
5.7%
별 247
 
5.7%
자 247
 
5.7%
로 211
 
4.9%
1 145
 
3.3%
Other values (117) 1553
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2965
68.3%
Decimal Number 719
 
16.6%
Space Separator 632
 
14.6%
Dash Punctuation 26
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 300
 
10.1%
세 256
 
8.6%
종 254
 
8.6%
시 250
 
8.4%
특 247
 
8.3%
별 247
 
8.3%
자 247
 
8.3%
로 211
 
7.1%
원 56
 
1.9%
조 53
 
1.8%
Other values (105) 844
28.5%
Decimal Number
ValueCountFrequency (%)
1 145
20.2%
2 105
14.6%
3 88
12.2%
4 70
9.7%
5 66
9.2%
0 59
8.2%
8 56
 
7.8%
6 46
 
6.4%
9 45
 
6.3%
7 39
 
5.4%
Space Separator
ValueCountFrequency (%)
632
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2965
68.3%
Common 1377
31.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 300
 
10.1%
세 256
 
8.6%
종 254
 
8.6%
시 250
 
8.4%
특 247
 
8.3%
별 247
 
8.3%
자 247
 
8.3%
로 211
 
7.1%
원 56
 
1.9%
조 53
 
1.8%
Other values (105) 844
28.5%
Common
ValueCountFrequency (%)
632
45.9%
1 145
 
10.5%
2 105
 
7.6%
3 88
 
6.4%
4 70
 
5.1%
5 66
 
4.8%
0 59
 
4.3%
8 56
 
4.1%
6 46
 
3.3%
9 45
 
3.3%
Other values (2) 65
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2965
68.3%
ASCII 1377
31.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
632
45.9%
1 145
 
10.5%
2 105
 
7.6%
3 88
 
6.4%
4 70
 
5.1%
5 66
 
4.8%
0 59
 
4.3%
8 56
 
4.1%
6 46
 
3.3%
9 45
 
3.3%
Other values (2) 65
 
4.7%
Hangul
ValueCountFrequency (%)
치 300
 
10.1%
세 256
 
8.6%
종 254
 
8.6%
시 250
 
8.4%
특 247
 
8.3%
별 247
 
8.3%
자 247
 
8.3%
로 211
 
7.1%
원 56
 
1.9%
조 53
 
1.8%
Other values (105) 844
28.5%

지번주소
Text

Distinct226
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-03-15T09:49:18.395533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length16.983806
Min length13

Characters and Unicode

Total characters4195
Distinct characters99
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique208 ?
Unique (%)84.2%

Sample

1st row세종특별자치시 조치원읍 신흥리 53-1
2nd row세종특별자치시 새롬동 66-1
3rd row세종특별자치시 부강리 138
4th row세종특별자치시 소정면 소정리 156번지
5th row세종특별자치시 연동면 내판리 33번지
ValueCountFrequency (%)
세종특별자치시 246
30.6%
조치원읍 28
 
3.5%
나성동 19
 
2.4%
아름동 18
 
2.2%
고운동 14
 
1.7%
종촌동 13
 
1.6%
도담동 13
 
1.6%
어진동 12
 
1.5%
원리 12
 
1.5%
새롬동 12
 
1.5%
Other values (269) 416
51.8%
2024-03-15T09:49:19.369271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
556
 
13.3%
치 274
 
6.5%
종 259
 
6.2%
별 247
 
5.9%
시 247
 
5.9%
세 246
 
5.9%
특 246
 
5.9%
자 246
 
5.9%
동 157
 
3.7%
1 143
 
3.4%
Other values (89) 1574
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2791
66.5%
Decimal Number 782
 
18.6%
Space Separator 556
 
13.3%
Dash Punctuation 66
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 274
 
9.8%
종 259
 
9.3%
별 247
 
8.8%
시 247
 
8.8%
세 246
 
8.8%
특 246
 
8.8%
자 246
 
8.8%
동 157
 
5.6%
리 93
 
3.3%
번 76
 
2.7%
Other values (77) 700
25.1%
Decimal Number
ValueCountFrequency (%)
1 143
18.3%
6 91
11.6%
2 88
11.3%
3 87
11.1%
7 87
11.1%
5 76
9.7%
9 61
7.8%
4 56
 
7.2%
8 48
 
6.1%
0 45
 
5.8%
Space Separator
ValueCountFrequency (%)
556
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2791
66.5%
Common 1404
33.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 274
 
9.8%
종 259
 
9.3%
별 247
 
8.8%
시 247
 
8.8%
세 246
 
8.8%
특 246
 
8.8%
자 246
 
8.8%
동 157
 
5.6%
리 93
 
3.3%
번 76
 
2.7%
Other values (77) 700
25.1%
Common
ValueCountFrequency (%)
556
39.6%
1 143
 
10.2%
6 91
 
6.5%
2 88
 
6.3%
3 87
 
6.2%
7 87
 
6.2%
5 76
 
5.4%
- 66
 
4.7%
9 61
 
4.3%
4 56
 
4.0%
Other values (2) 93
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2791
66.5%
ASCII 1404
33.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
556
39.6%
1 143
 
10.2%
6 91
 
6.5%
2 88
 
6.3%
3 87
 
6.2%
7 87
 
6.2%
5 76
 
5.4%
- 66
 
4.7%
9 61
 
4.3%
4 56
 
4.0%
Other values (2) 93
 
6.6%
Hangul
ValueCountFrequency (%)
치 274
 
9.8%
종 259
 
9.3%
별 247
 
8.8%
시 247
 
8.8%
세 246
 
8.8%
특 246
 
8.8%
자 246
 
8.8%
동 157
 
5.6%
리 93
 
3.3%
번 76
 
2.7%
Other values (77) 700
25.1%

Interactions

2024-03-15T09:49:11.052992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-03-15T09:49:11.378935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T09:49:11.847123image/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

순번수거함 명칭도로명주소지번주소
01세종특별자치시보건소세종특별자치시 조치원읍 대첩로 32세종특별자치시 조치원읍 신흥리 53-1
12남부통합보건지소세종특별자치시 새롬로 14세종특별자치시 새롬동 66-1
23부강면보건지소세종특별자치시 부강면 부강5길 38세종특별자치시 부강리 138
34소정면보건지소세종특별자치시 소정면 소정구길 201세종특별자치시 소정면 소정리 156번지
45연동면보건지소세종특별자치시 연동면 장욱진로 7세종특별자치시 연동면 내판리 33번지
56금남면보건지소세종특별자치시 금남면 용포로 59세종특별자치시 금남면 용포리 122번지
67연기면보건지소세종특별자치시 연기면 당산로 81세종특별자치시 연기면 연기리 317번지
78전의면보건지소세종특별자치시 전의면 만세길 20-12세종특별자치시 전의면 읍내리 250번지
89전동면보건지소세종특별자치시 전동면 운주산로 386세종특별자치시 전동면 노장리 583
910연서면보건지소세종특별자치시 연서면 대첩로 238세종특별자치시 연서면 성제리 293번지
순번수거함 명칭도로명주소지번주소
237238우체통세종특별자치시 금남면 채나무길 64세종특별자치시 국곡리 149
238239우체통세종특별자치시 도움5로 19세종특별자치시 어진동 507
239240우체통세종특별자치시 다솜3로 48세종특별자치시 어진동 637
240241우체통세종특별자치시 도움6로 11세종특별자치시 어진동 560
241242우체통세종특별자치시 한누리대로 402세종특별자치시 어진동 584
242243우체통세종특별자치시 보람로 77세종특별자치시 도담동 645
243244우체통세종특별자치시 도움1로116세종특별자치시 종촌동 674
244245우체통세종특별자치시 시청대로 370세종특별자치시 반곡동 736
245246우체통세종특별자치시 만남로 65세종특별자치시 고운동 1710
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