Overview

Dataset statistics

Number of variables9
Number of observations91
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)1.1%
Total size in memory6.6 KiB
Average record size in memory74.5 B

Variable types

Text2
Numeric1
Boolean5
DateTime1

Dataset

Description경상북도 봉화군 쓰레기 종량제봉투 판매처명, 도로명주소, 우편번호, 종량제봉투 취급 여부 등에 관한 데이터 자료입니다.
Author경상북도 봉화군
URLhttps://www.data.go.kr/data/15094091/fileData.do

Alerts

종량제봉투취급여부 has constant value ""Constant
음식물납부필증(가정용)취급여부 has constant value ""Constant
음식물납부필증(120L)취급여부 has constant value ""Constant
대형폐기물스티커취급여부 has constant value ""Constant
특수규격봉투취급여부 has constant value ""Constant
데이터기준일자 has constant value ""Constant
Dataset has 1 (1.1%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 16:22:02.705150
Analysis finished2023-12-12 16:22:03.695390
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

판매처명
Text

Distinct89
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size860.0 B
2023-12-13T01:22:03.941975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length4
Mean length5.6153846
Min length3

Characters and Unicode

Total characters511
Distinct characters148
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique87 ?
Unique (%)95.6%

Sample

1st row6070 보부상
2nd rowCU봉화강변점
3rd rowCU봉화중앙점
4th rowGS25봉화석포점
5th rowGS봉화현동점
ValueCountFrequency (%)
서울슈퍼 2
 
2.0%
세븐일레븐 2
 
2.0%
씨유 2
 
2.0%
만촌슈퍼 2
 
2.0%
회룡천(민박)휴게소 1
 
1.0%
협동마트 1
 
1.0%
옥방슈퍼 1
 
1.0%
재산버스정류소 1
 
1.0%
재산농협하나로마트 1
 
1.0%
일호상회 1
 
1.0%
Other values (85) 85
85.9%
2023-12-13T01:22:04.420133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 33
 
6.5%
트 32
 
6.3%
퍼 24
 
4.7%
슈 23
 
4.5%
봉 15
 
2.9%
화 14
 
2.7%
농 11
 
2.2%
상 11
 
2.2%
점 11
 
2.2%
회 10
 
2.0%
Other values (138) 327
64.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 484
94.7%
Space Separator 8
 
1.6%
Uppercase Letter 8
 
1.6%
Decimal Number 6
 
1.2%
Close Punctuation 2
 
0.4%
Open Punctuation 2
 
0.4%
Other Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 33
 
6.8%
트 32
 
6.6%
퍼 24
 
5.0%
슈 23
 
4.8%
봉 15
 
3.1%
화 14
 
2.9%
농 11
 
2.3%
상 11
 
2.3%
점 11
 
2.3%
회 10
 
2.1%
Other values (125) 300
62.0%
Decimal Number
ValueCountFrequency (%)
0 2
33.3%
7 1
16.7%
6 1
16.7%
2 1
16.7%
5 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
G 2
25.0%
S 2
25.0%
U 2
25.0%
C 2
25.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 485
94.9%
Common 18
 
3.5%
Latin 8
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 33
 
6.8%
트 32
 
6.6%
퍼 24
 
4.9%
슈 23
 
4.7%
봉 15
 
3.1%
화 14
 
2.9%
농 11
 
2.3%
상 11
 
2.3%
점 11
 
2.3%
회 10
 
2.1%
Other values (126) 301
62.1%
Common
ValueCountFrequency (%)
8
44.4%
) 2
 
11.1%
( 2
 
11.1%
0 2
 
11.1%
7 1
 
5.6%
6 1
 
5.6%
2 1
 
5.6%
5 1
 
5.6%
Latin
ValueCountFrequency (%)
G 2
25.0%
S 2
25.0%
U 2
25.0%
C 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 484
94.7%
ASCII 26
 
5.1%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 33
 
6.8%
트 32
 
6.6%
퍼 24
 
5.0%
슈 23
 
4.8%
봉 15
 
3.1%
화 14
 
2.9%
농 11
 
2.3%
상 11
 
2.3%
점 11
 
2.3%
회 10
 
2.1%
Other values (125) 300
62.0%
ASCII
ValueCountFrequency (%)
8
30.8%
) 2
 
7.7%
G 2
 
7.7%
( 2
 
7.7%
0 2
 
7.7%
S 2
 
7.7%
U 2
 
7.7%
C 2
 
7.7%
7 1
 
3.8%
6 1
 
3.8%
Other values (2) 2
 
7.7%
None
ValueCountFrequency (%)
㈜ 1
100.0%

도로명 주소
Text

Distinct89
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size860.0 B
2023-12-13T01:22:04.773947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length25
Mean length21.10989
Min length18

Characters and Unicode

Total characters1921
Distinct characters75
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

Unique87 ?
Unique (%)95.6%

Sample

1st row경상북도 봉화군 봉화읍 내성로 72
2nd row경상북도 봉화군 봉화읍 내성로 5길 22-18
3rd row경상북도 봉화군 봉화읍 봉화로 1193
4th row경상북도 봉화군 석포면 석포로 143
5th row경상북도 봉화군 소천면 청옥로 3
ValueCountFrequency (%)
경상북도 91
19.8%
봉화군 91
19.8%
봉화읍 25
 
5.4%
석포면 16
 
3.5%
춘양면 16
 
3.5%
소천면 12
 
2.6%
봉화로 8
 
1.7%
소천로 8
 
1.7%
석포로 7
 
1.5%
봉성면 6
 
1.3%
Other values (121) 179
39.0%
2023-12-13T01:22:05.247284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
368
19.2%
봉 134
 
7.0%
화 124
 
6.5%
상 99
 
5.2%
도 92
 
4.8%
군 91
 
4.7%
경 91
 
4.7%
북 91
 
4.7%
1 87
 
4.5%
로 68
 
3.5%
Other values (65) 676
35.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1222
63.6%
Space Separator 368
 
19.2%
Decimal Number 301
 
15.7%
Dash Punctuation 30
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
봉 134
11.0%
화 124
 
10.1%
상 99
 
8.1%
도 92
 
7.5%
군 91
 
7.4%
경 91
 
7.4%
북 91
 
7.4%
로 68
 
5.6%
면 65
 
5.3%
길 40
 
3.3%
Other values (53) 327
26.8%
Decimal Number
ValueCountFrequency (%)
1 87
28.9%
2 43
14.3%
6 28
 
9.3%
0 25
 
8.3%
4 24
 
8.0%
5 24
 
8.0%
3 23
 
7.6%
7 17
 
5.6%
9 16
 
5.3%
8 14
 
4.7%
Space Separator
ValueCountFrequency (%)
368
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1222
63.6%
Common 699
36.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
봉 134
11.0%
화 124
 
10.1%
상 99
 
8.1%
도 92
 
7.5%
군 91
 
7.4%
경 91
 
7.4%
북 91
 
7.4%
로 68
 
5.6%
면 65
 
5.3%
길 40
 
3.3%
Other values (53) 327
26.8%
Common
ValueCountFrequency (%)
368
52.6%
1 87
 
12.4%
2 43
 
6.2%
- 30
 
4.3%
6 28
 
4.0%
0 25
 
3.6%
4 24
 
3.4%
5 24
 
3.4%
3 23
 
3.3%
7 17
 
2.4%
Other values (2) 30
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1222
63.6%
ASCII 699
36.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
368
52.6%
1 87
 
12.4%
2 43
 
6.2%
- 30
 
4.3%
6 28
 
4.0%
0 25
 
3.6%
4 24
 
3.4%
5 24
 
3.4%
3 23
 
3.3%
7 17
 
2.4%
Other values (2) 30
 
4.3%
Hangul
ValueCountFrequency (%)
봉 134
11.0%
화 124
 
10.1%
상 99
 
8.1%
도 92
 
7.5%
군 91
 
7.4%
경 91
 
7.4%
북 91
 
7.4%
로 68
 
5.6%
면 65
 
5.3%
길 40
 
3.3%
Other values (53) 327
26.8%

우편번호
Real number (ℝ)

Distinct24
Distinct (%)26.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36204.396
Minimum32636
Maximum36272
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-13T01:22:05.375003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32636
5-th percentile36212
Q136226
median36239
Q336265.5
95-th percentile36272
Maximum36272
Range3636
Interquartile range (IQR)39.5

Descriptive statistics

Standard deviation378.82593
Coefficient of variation (CV)0.010463534
Kurtosis90.405369
Mean36204.396
Median Absolute Deviation (MAD)23
Skewness-9.4931375
Sum3294600
Variance143509.09
MonotonicityNot monotonic
2023-12-13T01:22:05.491252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
36272 13
14.3%
36238 12
13.2%
36239 11
12.1%
36216 11
12.1%
36266 7
 
7.7%
36265 5
 
5.5%
36262 4
 
4.4%
36230 3
 
3.3%
36271 3
 
3.3%
36257 2
 
2.2%
Other values (14) 20
22.0%
ValueCountFrequency (%)
32636 1
 
1.1%
36202 2
 
2.2%
36206 1
 
1.1%
36209 1
 
1.1%
36215 1
 
1.1%
36216 11
12.1%
36217 2
 
2.2%
36219 2
 
2.2%
36225 1
 
1.1%
36226 2
 
2.2%
ValueCountFrequency (%)
36272 13
14.3%
36271 3
 
3.3%
36266 7
7.7%
36265 5
 
5.5%
36264 1
 
1.1%
36262 4
 
4.4%
36257 2
 
2.2%
36252 2
 
2.2%
36244 2
 
2.2%
36240 1
 
1.1%

종량제봉투취급여부
Boolean

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size223.0 B
True
91 
ValueCountFrequency (%)
True 91
100.0%
2023-12-13T01:22:05.596468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

음식물납부필증(가정용)취급여부
Boolean

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size223.0 B
False
91 
ValueCountFrequency (%)
False 91
100.0%
2023-12-13T01:22:05.668713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

음식물납부필증(120L)취급여부
Boolean

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size223.0 B
False
91 
ValueCountFrequency (%)
False 91
100.0%
2023-12-13T01:22:05.738691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

대형폐기물스티커취급여부
Boolean

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size223.0 B
False
91 
ValueCountFrequency (%)
False 91
100.0%
2023-12-13T01:22:05.797434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

특수규격봉투취급여부
Boolean

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size223.0 B
False
91 
ValueCountFrequency (%)
False 91
100.0%
2023-12-13T01:22:05.861878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size860.0 B
Minimum2023-11-09 00:00:00
Maximum2023-11-09 00:00:00
2023-12-13T01:22:05.926816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:22:06.025816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T01:22:03.334811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:22:06.090814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
판매처명도로명 주소우편번호
판매처명1.0001.000NaN
도로명 주소1.0001.000NaN
우편번호NaNNaN1.000

Missing values

2023-12-13T01:22:03.485893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:22:03.623755image/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

판매처명도로명 주소우편번호종량제봉투취급여부음식물납부필증(가정용)취급여부음식물납부필증(120L)취급여부대형폐기물스티커취급여부특수규격봉투취급여부데이터기준일자
06070 보부상경상북도 봉화군 봉화읍 내성로 7236238YNNNN2023-11-09
1CU봉화강변점경상북도 봉화군 봉화읍 내성로 5길 22-1836238YNNNN2023-11-09
2CU봉화중앙점경상북도 봉화군 봉화읍 봉화로 119336238YNNNN2023-11-09
3GS25봉화석포점경상북도 봉화군 석포면 석포로 14336272YNNNN2023-11-09
4GS봉화현동점경상북도 봉화군 소천면 청옥로 336266YNNNN2023-11-09
5경인슈퍼경상북도 봉화군 춘양면 운곡길 436215YNNNN2023-11-09
6금박슈퍼경상북도 봉화군 소천면 소천로 1275-1036266YNNNN2023-11-09
7남양홈마트경상북도 봉화군 춘양면 의양로5길 1-136216YNNNN2023-11-09
8대성수퍼경상북도 봉화군 춘양면 소천로 3836217YNNNN2023-11-09
9대창슈퍼경상북도 봉화군 봉화읍 꽃동네길 2136239YNNNN2023-11-09
판매처명도로명 주소우편번호종량제봉투취급여부음식물납부필증(가정용)취급여부음식물납부필증(120L)취급여부대형폐기물스티커취급여부특수규격봉투취급여부데이터기준일자
81푸른마트경상북도 봉화군 봉화읍 내성로1길 17-7736238YNNNN2023-11-09
82풀마트봉화점경상북도 봉화군 봉화읍 봉화로 113336239YNNNN2023-11-09
83풀마트춘양점경상북도 봉화군 춘양면 의양로 8636216YNNNN2023-11-09
84풍국슈퍼경상북도 봉화군 상운면 예봉로 129436244YNNNN2023-11-09
85풍년슈퍼경상북도 봉화군 봉화읍 내성로 9636238YNNNN2023-11-09
86하나로매점경상북도 봉화군 봉성면 진의실길 336226YNNNN2023-11-09
87향수슈퍼경상북도 봉화군 소천면 분천2길 236265YNNNN2023-11-09
88협동마트경상북도 봉화군 춘양면 의양로2길 17-236216YNNNN2023-11-09
89회룡천(민박)휴게소경상북도 봉화군 소천면 소천로 260736265YNNNN2023-11-09
90훈이마트경상북도 봉화군 소천면 소천로 127636266YNNNN2023-11-09

Duplicate rows

Most frequently occurring

판매처명도로명 주소우편번호종량제봉투취급여부음식물납부필증(가정용)취급여부음식물납부필증(120L)취급여부대형폐기물스티커취급여부특수규격봉투취급여부데이터기준일자# duplicates
0만촌슈퍼경상북도 봉화군 석포면 석포로 15436272YNNNN2023-11-092