Overview

Dataset statistics

Number of variables9
Number of observations339
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.3 KiB
Average record size in memory73.4 B

Variable types

Numeric1
DateTime3
Categorical3
Text2

Dataset

Description경상북도 김천시의 대형폐기물 처리현황으로 예약일자, 신청일자, 행정동, 수거내용 및 가격, 관리기관 정보를 제공합니다.
Author경상북도 김천시
URLhttps://www.data.go.kr/data/15093303/fileData.do

Alerts

관리기관 has constant value ""Constant
관리부서 has constant value ""Constant
데이터기준일자 has constant value ""Constant
번호 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-04-19 06:58:10.038859
Analysis finished2024-04-19 06:58:10.599828
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct339
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean170
Minimum1
Maximum339
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-19T15:58:10.669097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17.9
Q185.5
median170
Q3254.5
95-th percentile322.1
Maximum339
Range338
Interquartile range (IQR)169

Descriptive statistics

Standard deviation98.005102
Coefficient of variation (CV)0.5765006
Kurtosis-1.2
Mean170
Median Absolute Deviation (MAD)85
Skewness0
Sum57630
Variance9605
MonotonicityStrictly increasing
2024-04-19T15:58:10.798796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
225 1
 
0.3%
233 1
 
0.3%
232 1
 
0.3%
231 1
 
0.3%
230 1
 
0.3%
229 1
 
0.3%
228 1
 
0.3%
227 1
 
0.3%
226 1
 
0.3%
Other values (329) 329
97.1%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
339 1
0.3%
338 1
0.3%
337 1
0.3%
336 1
0.3%
335 1
0.3%
334 1
0.3%
333 1
0.3%
332 1
0.3%
331 1
0.3%
330 1
0.3%

예약일자
Date

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum2021-10-14 00:00:00
Maximum2021-10-19 00:00:00
2024-04-19T15:58:10.912151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T15:58:11.002663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

신청일자
Date

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum2021-10-15 00:00:00
Maximum2021-10-20 00:00:00
2024-04-19T15:58:11.111194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T15:58:11.236372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

행정동
Categorical

Distinct8
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
대신동
79 
율곡동
76 
대곡동
72 
자산동
36 
평화남
33 
Other values (3)
43 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대신동 79
23.3%
율곡동 76
22.4%
대곡동 72
21.2%
자산동 36
10.6%
평화남 33
9.7%
아포읍 19
 
5.6%
지좌동 17
 
5.0%
양금동 7
 
2.1%

Length

2024-04-19T15:58:11.366245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:58:11.474977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대신동 79
23.3%
율곡동 76
22.4%
대곡동 72
21.2%
자산동 36
10.6%
평화남 33
9.7%
아포읍 19
 
5.6%
지좌동 17
 
5.0%
양금동 7
 
2.1%

수거 내용 및 가격
Text

Distinct217
Distinct (%)64.0%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-04-19T15:58:11.700040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length46
Mean length31.849558
Min length20

Characters and Unicode

Total characters10797
Distinct characters190
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique161 ?
Unique (%)47.5%

Sample

1st row1. (밥)상 > 4인용이상 / 1EA / 3,000원
2nd row1. 장농 > 90㎝이상(쪽당) / 2EA / 30,000원
3rd row2. 화장대 > 모든규격 / 1EA / 4,000원
4th row3. 서랍장(장식장추가) > 5단미만 / 1EA / 3,000원
5th row4. (밥)상 > 4인용미만 / 1EA / 2,000원
ValueCountFrequency (%)
1014
35.2%
1ea 255
 
8.8%
1 157
 
5.4%
모든규격 81
 
2.8%
3,000원 77
 
2.7%
2,000원 77
 
2.7%
2 69
 
2.4%
2ea 52
 
1.8%
4,000원 51
 
1.8%
3 39
 
1.4%
Other values (153) 1012
35.1%
2024-04-19T15:58:12.082515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2545
23.6%
0 1074
 
9.9%
/ 678
 
6.3%
1 556
 
5.1%
, 446
 
4.1%
원 353
 
3.3%
. 340
 
3.1%
A 339
 
3.1%
E 339
 
3.1%
> 338
 
3.1%
Other values (180) 3789
35.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3228
29.9%
Space Separator 2545
23.6%
Decimal Number 2339
21.7%
Other Punctuation 1464
13.6%
Uppercase Letter 678
 
6.3%
Math Symbol 338
 
3.1%
Close Punctuation 82
 
0.8%
Open Punctuation 82
 
0.8%
Other Symbol 33
 
0.3%
Lowercase Letter 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 353
 
10.9%
장 130
 
4.0%
기 115
 
3.6%
인 105
 
3.3%
모 97
 
3.0%
용 95
 
2.9%
대 91
 
2.8%
든 84
 
2.6%
규 84
 
2.6%
격 84
 
2.6%
Other values (156) 1990
61.6%
Decimal Number
ValueCountFrequency (%)
0 1074
45.9%
1 556
23.8%
2 245
 
10.5%
3 167
 
7.1%
4 107
 
4.6%
5 77
 
3.3%
6 42
 
1.8%
9 30
 
1.3%
8 27
 
1.2%
7 14
 
0.6%
Other Punctuation
ValueCountFrequency (%)
/ 678
46.3%
, 446
30.5%
. 340
23.2%
Other Symbol
ValueCountFrequency (%)
㎏ 18
54.5%
㎝ 11
33.3%
㎡ 4
 
12.1%
Uppercase Letter
ValueCountFrequency (%)
A 339
50.0%
E 339
50.0%
Lowercase Letter
ValueCountFrequency (%)
m 7
87.5%
ℓ 1
 
12.5%
Space Separator
ValueCountFrequency (%)
2545
100.0%
Math Symbol
ValueCountFrequency (%)
> 338
100.0%
Close Punctuation
ValueCountFrequency (%)
) 82
100.0%
Open Punctuation
ValueCountFrequency (%)
( 82
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6884
63.8%
Hangul 3228
29.9%
Latin 685
 
6.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 353
 
10.9%
장 130
 
4.0%
기 115
 
3.6%
인 105
 
3.3%
모 97
 
3.0%
용 95
 
2.9%
대 91
 
2.8%
든 84
 
2.6%
규 84
 
2.6%
격 84
 
2.6%
Other values (156) 1990
61.6%
Common
ValueCountFrequency (%)
2545
37.0%
0 1074
15.6%
/ 678
 
9.8%
1 556
 
8.1%
, 446
 
6.5%
. 340
 
4.9%
> 338
 
4.9%
2 245
 
3.6%
3 167
 
2.4%
4 107
 
1.6%
Other values (11) 388
 
5.6%
Latin
ValueCountFrequency (%)
A 339
49.5%
E 339
49.5%
m 7
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7535
69.8%
Hangul 3228
29.9%
CJK Compat 33
 
0.3%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2545
33.8%
0 1074
14.3%
/ 678
 
9.0%
1 556
 
7.4%
, 446
 
5.9%
. 340
 
4.5%
A 339
 
4.5%
E 339
 
4.5%
> 338
 
4.5%
2 245
 
3.3%
Other values (10) 635
 
8.4%
Hangul
ValueCountFrequency (%)
원 353
 
10.9%
장 130
 
4.0%
기 115
 
3.6%
인 105
 
3.3%
모 97
 
3.0%
용 95
 
2.9%
대 91
 
2.8%
든 84
 
2.6%
규 84
 
2.6%
격 84
 
2.6%
Other values (156) 1990
61.6%
CJK Compat
ValueCountFrequency (%)
㎏ 18
54.5%
㎝ 11
33.3%
㎡ 4
 
12.1%
Letterlike Symbols
ValueCountFrequency (%)
ℓ 1
100.0%

관리기관
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
김천시
339 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
김천시 339
100.0%

Length

2024-04-19T15:58:12.261738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:58:12.379510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
김천시 339
100.0%

관리부서
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
자원순환과
339 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자원순환과 339
100.0%

Length

2024-04-19T15:58:12.479952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:58:12.580056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자원순환과 339
100.0%

전화번호
Text

UNIQUE 

Distinct339
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-04-19T15:58:12.791316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters4068
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique339 ?
Unique (%)100.0%

Sample

1st row054-420-6173
2nd row054-420-6174
3rd row054-420-6175
4th row054-420-6176
5th row054-420-6177
ValueCountFrequency (%)
054-420-6173 1
 
0.3%
054-420-6395 1
 
0.3%
054-420-6404 1
 
0.3%
054-420-6403 1
 
0.3%
054-420-6402 1
 
0.3%
054-420-6401 1
 
0.3%
054-420-6400 1
 
0.3%
054-420-6399 1
 
0.3%
054-420-6398 1
 
0.3%
054-420-6397 1
 
0.3%
Other values (329) 329
97.1%
2024-04-19T15:58:13.145096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 842
20.7%
0 752
18.5%
- 678
16.7%
2 502
12.3%
5 415
10.2%
6 403
9.9%
3 164
 
4.0%
1 93
 
2.3%
8 74
 
1.8%
9 74
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3390
83.3%
Dash Punctuation 678
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 842
24.8%
0 752
22.2%
2 502
14.8%
5 415
12.2%
6 403
11.9%
3 164
 
4.8%
1 93
 
2.7%
8 74
 
2.2%
9 74
 
2.2%
7 71
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 678
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4068
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 842
20.7%
0 752
18.5%
- 678
16.7%
2 502
12.3%
5 415
10.2%
6 403
9.9%
3 164
 
4.0%
1 93
 
2.3%
8 74
 
1.8%
9 74
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4068
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 842
20.7%
0 752
18.5%
- 678
16.7%
2 502
12.3%
5 415
10.2%
6 403
9.9%
3 164
 
4.0%
1 93
 
2.3%
8 74
 
1.8%
9 74
 
1.8%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum2021-10-21 00:00:00
Maximum2021-10-21 00:00:00
2024-04-19T15:58:13.302452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T15:58:13.385517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-19T15:58:10.288192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-19T15:58:13.457096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호예약일자신청일자행정동
번호1.0000.9300.8490.662
예약일자0.9301.0000.8810.696
신청일자0.8490.8811.0000.679
행정동0.6620.6960.6791.000
2024-04-19T15:58:13.549100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호행정동
번호1.0000.392
행정동0.3921.000

Missing values

2024-04-19T15:58:10.428236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-19T15:58:10.550818image/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

번호예약일자신청일자행정동수거 내용 및 가격관리기관관리부서전화번호데이터기준일자
012021-10-192021-10-20대곡동1. (밥)상 > 4인용이상 / 1EA / 3,000원김천시자원순환과054-420-61732021-10-21
122021-10-192021-10-20대곡동1. 장농 > 90㎝이상(쪽당) / 2EA / 30,000원김천시자원순환과054-420-61742021-10-21
232021-10-192021-10-20대곡동2. 화장대 > 모든규격 / 1EA / 4,000원김천시자원순환과054-420-61752021-10-21
342021-10-192021-10-20대곡동3. 서랍장(장식장추가) > 5단미만 / 1EA / 3,000원김천시자원순환과054-420-61762021-10-21
452021-10-192021-10-20대곡동4. (밥)상 > 4인용미만 / 1EA / 2,000원김천시자원순환과054-420-61772021-10-21
562021-10-192021-10-20대곡동1. 가방류 > 모든규격 / 1EA / 1,000원김천시자원순환과054-420-61782021-10-21
672021-10-192021-10-20대곡동2. 선풍기, 자전거, 쌀통, 녹즙기, 배기후드 > 1대당 / 2EA / 4,000원김천시자원순환과054-420-61792021-10-21
782021-10-192021-10-20대곡동1. 침대받침대 > 1인용 / 1EA / 5,000원김천시자원순환과054-420-61802021-10-21
892021-10-192021-10-20대곡동1. 거울 > 중형 / 3EA / 6,000원김천시자원순환과054-420-61812021-10-21
9102021-10-192021-10-20대곡동2. (밥)상 > 4인용이상 / 3EA / 9,000원김천시자원순환과054-420-61822021-10-21
번호예약일자신청일자행정동수거 내용 및 가격관리기관관리부서전화번호데이터기준일자
3293302021-10-142021-10-18자산동1. 쇼파 > 3인용 / 1EA / 9,000원김천시자원순환과054-420-65022021-10-21
3303312021-10-142021-10-15대곡동1. 변기 > 양변기 / 1EA / 10,000원김천시자원순환과054-420-65032021-10-21
3313322021-10-142021-10-15대곡동2. 가방류 > 모든규격 / 1EA / 1,000원김천시자원순환과054-420-65042021-10-21
3323332021-10-142021-10-15대곡동3. 쇼파 > 3인용 / 1EA / 9,000원김천시자원순환과054-420-65052021-10-21
3333342021-10-142021-10-15대곡동4. 쇼파 > 1인용 / 1EA / 3,000원김천시자원순환과054-420-65062021-10-21
3343352021-10-142021-10-18평화남1. 서랍장(장식장추가) > 5단이상 / 1EA / 4,000원김천시자원순환과054-420-65072021-10-21
3353362021-10-142021-10-18대신동1. 장농 > 90㎝이상(쪽당) / 3EA / 45,000원김천시자원순환과054-420-65082021-10-21
3363372021-10-142021-10-18대신동2. 서랍장(장식장추가) > 5단이상 / 1EA / 4,000원김천시자원순환과054-420-65092021-10-21
3373382021-10-142021-10-18대신동3. 장식장 > 모든규격 / 3EA / 12,000원김천시자원순환과054-420-65102021-10-21
3383392021-10-142021-10-15대곡동1. 의자 > 목재철재 / 1EA / 2,000원김천시자원순환과054-420-65112021-10-21