Overview

Dataset statistics

Number of variables12
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 MiB
Average record size in memory109.0 B

Variable types

Numeric5
Text3
Categorical1
DateTime3

Dataset

Description대전광역시 서구 대형폐기물 배출 처리현황 정보(배출품명, 배출규격, 수량, 배출동, 물품코드, 물품명, 표준코드, 총 수수료 등을)를 제공합니다.
Author대전광역시 서구
URLhttps://www.data.go.kr/data/15089831/fileData.do

Alerts

수량 is highly skewed (γ1 = 28.16075595)Skewed
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:04:10.664940
Analysis finished2023-12-12 17:04:16.252133
Duration5.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47693.412
Minimum4
Maximum95289
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T02:04:16.347209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5009.1
Q123733
median47993.5
Q371258
95-th percentile90562.2
Maximum95289
Range95285
Interquartile range (IQR)47525

Descriptive statistics

Standard deviation27494.629
Coefficient of variation (CV)0.57648694
Kurtosis-1.207058
Mean47693.412
Median Absolute Deviation (MAD)23702
Skewness-7.7125854 × 10-5
Sum4.7693412 × 108
Variance7.5595465 × 108
MonotonicityNot monotonic
2023-12-13T02:04:16.550309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70410 1
 
< 0.1%
83009 1
 
< 0.1%
94445 1
 
< 0.1%
92787 1
 
< 0.1%
18307 1
 
< 0.1%
19364 1
 
< 0.1%
10268 1
 
< 0.1%
26414 1
 
< 0.1%
55174 1
 
< 0.1%
66939 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
4 1
< 0.1%
13 1
< 0.1%
18 1
< 0.1%
34 1
< 0.1%
36 1
< 0.1%
46 1
< 0.1%
63 1
< 0.1%
109 1
< 0.1%
122 1
< 0.1%
139 1
< 0.1%
ValueCountFrequency (%)
95289 1
< 0.1%
95283 1
< 0.1%
95251 1
< 0.1%
95233 1
< 0.1%
95224 1
< 0.1%
95220 1
< 0.1%
95215 1
< 0.1%
95203 1
< 0.1%
95193 1
< 0.1%
95192 1
< 0.1%

배출품명
Text

Distinct67
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T02:04:16.825477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length2
Mean length2.7558
Min length1

Characters and Unicode

Total characters27558
Distinct characters123
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row의자
2nd row의자
3rd row서랍장
4th row의자
5th row문짝
ValueCountFrequency (%)
의자 1426
 
14.3%
거울(액자 593
 
5.9%
침대 569
 
5.7%
목재 560
 
5.6%
책장 527
 
5.3%
소파 508
 
5.1%
상 442
 
4.4%
서랍장 420
 
4.2%
가방 358
 
3.6%
tv받침대 354
 
3.5%
Other values (57) 4243
42.4%
2023-12-13T02:04:17.325144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
자 2315
 
8.4%
장 1881
 
6.8%
의 1426
 
5.2%
대 1401
 
5.1%
기 1020
 
3.7%
책 996
 
3.6%
침 923
 
3.3%
) 809
 
2.9%
( 809
 
2.9%
상 793
 
2.9%
Other values (113) 15185
55.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24997
90.7%
Uppercase Letter 912
 
3.3%
Close Punctuation 809
 
2.9%
Open Punctuation 809
 
2.9%
Decimal Number 31
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 2315
 
9.3%
장 1881
 
7.5%
의 1426
 
5.7%
대 1401
 
5.6%
기 1020
 
4.1%
책 996
 
4.0%
침 923
 
3.7%
상 793
 
3.2%
가 779
 
3.1%
거 642
 
2.6%
Other values (108) 12821
51.3%
Uppercase Letter
ValueCountFrequency (%)
T 456
50.0%
V 456
50.0%
Close Punctuation
ValueCountFrequency (%)
) 809
100.0%
Open Punctuation
ValueCountFrequency (%)
( 809
100.0%
Decimal Number
ValueCountFrequency (%)
1 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24997
90.7%
Common 1649
 
6.0%
Latin 912
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 2315
 
9.3%
장 1881
 
7.5%
의 1426
 
5.7%
대 1401
 
5.6%
기 1020
 
4.1%
책 996
 
4.0%
침 923
 
3.7%
상 793
 
3.2%
가 779
 
3.1%
거 642
 
2.6%
Other values (108) 12821
51.3%
Common
ValueCountFrequency (%)
) 809
49.1%
( 809
49.1%
1 31
 
1.9%
Latin
ValueCountFrequency (%)
T 456
50.0%
V 456
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24997
90.7%
ASCII 2561
 
9.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
자 2315
 
9.3%
장 1881
 
7.5%
의 1426
 
5.7%
대 1401
 
5.6%
기 1020
 
4.1%
책 996
 
4.0%
침 923
 
3.7%
상 793
 
3.2%
가 779
 
3.1%
거 642
 
2.6%
Other values (108) 12821
51.3%
ASCII
ValueCountFrequency (%)
) 809
31.6%
( 809
31.6%
T 456
17.8%
V 456
17.8%
1 31
 
1.2%

배출규격
Text

Distinct86
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T02:04:17.630202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length5.4793
Min length3

Characters and Unicode

Total characters54793
Distinct characters104
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.1%

Sample

1st row 목(장)의자
2nd row 1개
3rd row 5단미만
4th row 1개
5th row 모든규격
ValueCountFrequency (%)
모든규격 2615
26.1%
1개 1344
13.4%
높이1m미만 627
 
6.3%
1㎡미만 552
 
5.5%
트렁크가방 358
 
3.6%
5단미만 338
 
3.4%
길이1m이상 320
 
3.2%
높이1m이상 267
 
2.7%
길이1m미만 240
 
2.4%
1인용메트리스 236
 
2.4%
Other values (72) 3104
31.0%
2023-12-13T02:04:18.200288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9994
18.2%
1 4597
 
8.4%
이 2828
 
5.2%
모 2662
 
4.9%
든 2615
 
4.8%
규 2615
 
4.8%
격 2615
 
4.8%
미 2400
 
4.4%
만 2400
 
4.4%
용 1642
 
3.0%
Other values (94) 20425
37.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33463
61.1%
Space Separator 9994
 
18.2%
Decimal Number 7316
 
13.4%
Lowercase Letter 1683
 
3.1%
Other Symbol 1236
 
2.3%
Other Punctuation 369
 
0.7%
Open Punctuation 283
 
0.5%
Close Punctuation 267
 
0.5%
Uppercase Letter 108
 
0.2%
Math Symbol 74
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 2828
 
8.5%
모 2662
 
8.0%
든 2615
 
7.8%
규 2615
 
7.8%
격 2615
 
7.8%
미 2400
 
7.2%
만 2400
 
7.2%
용 1642
 
4.9%
개 1344
 
4.0%
인 1268
 
3.8%
Other values (71) 11074
33.1%
Decimal Number
ValueCountFrequency (%)
1 4597
62.8%
5 1038
 
14.2%
2 561
 
7.7%
0 495
 
6.8%
9 235
 
3.2%
6 143
 
2.0%
3 139
 
1.9%
4 98
 
1.3%
8 10
 
0.1%
Other Symbol
ValueCountFrequency (%)
㎡ 886
71.7%
㎝ 337
 
27.3%
㎏ 13
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
R 36
33.3%
P 36
33.3%
F 36
33.3%
Lowercase Letter
ValueCountFrequency (%)
m 1612
95.8%
ℓ 71
 
4.2%
Other Punctuation
ValueCountFrequency (%)
. 360
97.6%
/ 9
 
2.4%
Space Separator
ValueCountFrequency (%)
9994
100.0%
Open Punctuation
ValueCountFrequency (%)
( 283
100.0%
Close Punctuation
ValueCountFrequency (%)
) 267
100.0%
Math Symbol
ValueCountFrequency (%)
× 74
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33463
61.1%
Common 19610
35.8%
Latin 1720
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 2828
 
8.5%
모 2662
 
8.0%
든 2615
 
7.8%
규 2615
 
7.8%
격 2615
 
7.8%
미 2400
 
7.2%
만 2400
 
7.2%
용 1642
 
4.9%
개 1344
 
4.0%
인 1268
 
3.8%
Other values (71) 11074
33.1%
Common
ValueCountFrequency (%)
9994
51.0%
1 4597
23.4%
5 1038
 
5.3%
㎡ 886
 
4.5%
2 561
 
2.9%
0 495
 
2.5%
. 360
 
1.8%
㎝ 337
 
1.7%
( 283
 
1.4%
) 267
 
1.4%
Other values (9) 792
 
4.0%
Latin
ValueCountFrequency (%)
m 1612
93.7%
R 36
 
2.1%
P 36
 
2.1%
F 36
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33463
61.1%
ASCII 19949
36.4%
CJK Compat 1236
 
2.3%
None 74
 
0.1%
Letterlike Symbols 71
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9994
50.1%
1 4597
23.0%
m 1612
 
8.1%
5 1038
 
5.2%
2 561
 
2.8%
0 495
 
2.5%
. 360
 
1.8%
( 283
 
1.4%
) 267
 
1.3%
9 235
 
1.2%
Other values (8) 507
 
2.5%
Hangul
ValueCountFrequency (%)
이 2828
 
8.5%
모 2662
 
8.0%
든 2615
 
7.8%
규 2615
 
7.8%
격 2615
 
7.8%
미 2400
 
7.2%
만 2400
 
7.2%
용 1642
 
4.9%
개 1344
 
4.0%
인 1268
 
3.8%
Other values (71) 11074
33.1%
CJK Compat
ValueCountFrequency (%)
㎡ 886
71.7%
㎝ 337
 
27.3%
㎏ 13
 
1.1%
None
ValueCountFrequency (%)
× 74
100.0%
Letterlike Symbols
ValueCountFrequency (%)
ℓ 71
100.0%

수량
Real number (ℝ)

SKEWED 

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0342
Minimum1
Maximum28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T02:04:18.381176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum28
Range27
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.55683154
Coefficient of variation (CV)0.53841766
Kurtosis981.65341
Mean1.0342
Median Absolute Deviation (MAD)0
Skewness28.160756
Sum10342
Variance0.31006137
MonotonicityNot monotonic
2023-12-13T02:04:18.530751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1 9893
98.9%
2 55
 
0.5%
3 19
 
0.2%
5 10
 
0.1%
4 8
 
0.1%
16 4
 
< 0.1%
10 2
 
< 0.1%
6 2
 
< 0.1%
13 1
 
< 0.1%
20 1
 
< 0.1%
Other values (5) 5
 
0.1%
ValueCountFrequency (%)
1 9893
98.9%
2 55
 
0.5%
3 19
 
0.2%
4 8
 
0.1%
5 10
 
0.1%
6 2
 
< 0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
10 2
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
28 1
 
< 0.1%
20 1
 
< 0.1%
16 4
< 0.1%
14 1
 
< 0.1%
13 1
 
< 0.1%
12 1
 
< 0.1%
10 2
< 0.1%
9 1
 
< 0.1%
8 1
 
< 0.1%
6 2
< 0.1%

배출동
Categorical

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
둔산2동
846 
관저2동
758 
탄방동
711 
괴정동
 
601
갈마2동
 
546
Other values (20)
6538 

Length

Max length5
Median length5
Mean length4.4868
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row용문동
2nd row탄방동
3rd row내동
4th row둔산1동
5th row도안동

Common Values

ValueCountFrequency (%)
둔산2동 846
 
8.5%
관저2동 758
 
7.6%
탄방동 711
 
7.1%
괴정동 601
 
6.0%
갈마2동 546
 
5.5%
갈마1동 542
 
5.4%
도안동 520
 
5.2%
둔산3동 466
 
4.7%
내동 463
 
4.6%
월평2동 452
 
4.5%
Other values (15) 4095
40.9%

Length

2023-12-13T02:04:18.696289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
둔산2동 846
 
8.5%
관저2동 758
 
7.6%
탄방동 711
 
7.1%
괴정동 601
 
6.0%
갈마2동 546
 
5.5%
갈마1동 542
 
5.4%
도안동 520
 
5.2%
둔산3동 466
 
4.7%
내동 463
 
4.6%
월평2동 452
 
4.5%
Other values (14) 4095
40.9%

물품코드
Real number (ℝ)

Distinct67
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.9814
Minimum1
Maximum67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T02:04:18.882564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q126
median34
Q348
95-th percentile63
Maximum67
Range66
Interquartile range (IQR)22

Descriptive statistics

Standard deviation15.756087
Coefficient of variation (CV)0.45041328
Kurtosis-0.33993514
Mean34.9814
Median Absolute Deviation (MAD)9
Skewness-0.03570986
Sum349814
Variance248.25428
MonotonicityNot monotonic
2023-12-13T02:04:19.089351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34 1426
 
14.3%
53 593
 
5.9%
29 569
 
5.7%
63 560
 
5.6%
33 527
 
5.3%
41 508
 
5.1%
30 442
 
4.4%
38 420
 
4.2%
49 358
 
3.6%
3 354
 
3.5%
Other values (57) 4243
42.4%
ValueCountFrequency (%)
1 72
 
0.7%
2 102
 
1.0%
3 354
3.5%
4 13
 
0.1%
5 4
 
< 0.1%
6 99
 
1.0%
7 3
 
< 0.1%
8 90
 
0.9%
9 47
 
0.5%
10 114
 
1.1%
ValueCountFrequency (%)
67 96
 
1.0%
66 5
 
0.1%
65 42
 
0.4%
64 6
 
0.1%
63 560
5.6%
62 40
 
0.4%
61 103
 
1.0%
60 108
 
1.1%
59 35
 
0.4%
58 51
 
0.5%

물품명
Text

Distinct86
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T02:04:19.387684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length5.4793
Min length3

Characters and Unicode

Total characters54793
Distinct characters104
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.1%

Sample

1st row 목(장)의자
2nd row 1개
3rd row 5단미만
4th row 1개
5th row 모든규격
ValueCountFrequency (%)
모든규격 2615
26.1%
1개 1344
13.4%
높이1m미만 627
 
6.3%
1㎡미만 552
 
5.5%
트렁크가방 358
 
3.6%
5단미만 338
 
3.4%
길이1m이상 320
 
3.2%
높이1m이상 267
 
2.7%
길이1m미만 240
 
2.4%
1인용메트리스 236
 
2.4%
Other values (72) 3104
31.0%
2023-12-13T02:04:20.182877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9994
18.2%
1 4597
 
8.4%
이 2828
 
5.2%
모 2662
 
4.9%
든 2615
 
4.8%
규 2615
 
4.8%
격 2615
 
4.8%
미 2400
 
4.4%
만 2400
 
4.4%
용 1642
 
3.0%
Other values (94) 20425
37.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33463
61.1%
Space Separator 9994
 
18.2%
Decimal Number 7316
 
13.4%
Lowercase Letter 1683
 
3.1%
Other Symbol 1236
 
2.3%
Other Punctuation 369
 
0.7%
Open Punctuation 283
 
0.5%
Close Punctuation 267
 
0.5%
Uppercase Letter 108
 
0.2%
Math Symbol 74
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 2828
 
8.5%
모 2662
 
8.0%
든 2615
 
7.8%
규 2615
 
7.8%
격 2615
 
7.8%
미 2400
 
7.2%
만 2400
 
7.2%
용 1642
 
4.9%
개 1344
 
4.0%
인 1268
 
3.8%
Other values (71) 11074
33.1%
Decimal Number
ValueCountFrequency (%)
1 4597
62.8%
5 1038
 
14.2%
2 561
 
7.7%
0 495
 
6.8%
9 235
 
3.2%
6 143
 
2.0%
3 139
 
1.9%
4 98
 
1.3%
8 10
 
0.1%
Other Symbol
ValueCountFrequency (%)
㎡ 886
71.7%
㎝ 337
 
27.3%
㎏ 13
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
R 36
33.3%
P 36
33.3%
F 36
33.3%
Lowercase Letter
ValueCountFrequency (%)
m 1612
95.8%
ℓ 71
 
4.2%
Other Punctuation
ValueCountFrequency (%)
. 360
97.6%
/ 9
 
2.4%
Space Separator
ValueCountFrequency (%)
9994
100.0%
Open Punctuation
ValueCountFrequency (%)
( 283
100.0%
Close Punctuation
ValueCountFrequency (%)
) 267
100.0%
Math Symbol
ValueCountFrequency (%)
× 74
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33463
61.1%
Common 19610
35.8%
Latin 1720
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 2828
 
8.5%
모 2662
 
8.0%
든 2615
 
7.8%
규 2615
 
7.8%
격 2615
 
7.8%
미 2400
 
7.2%
만 2400
 
7.2%
용 1642
 
4.9%
개 1344
 
4.0%
인 1268
 
3.8%
Other values (71) 11074
33.1%
Common
ValueCountFrequency (%)
9994
51.0%
1 4597
23.4%
5 1038
 
5.3%
㎡ 886
 
4.5%
2 561
 
2.9%
0 495
 
2.5%
. 360
 
1.8%
㎝ 337
 
1.7%
( 283
 
1.4%
) 267
 
1.4%
Other values (9) 792
 
4.0%
Latin
ValueCountFrequency (%)
m 1612
93.7%
R 36
 
2.1%
P 36
 
2.1%
F 36
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33463
61.1%
ASCII 19949
36.4%
CJK Compat 1236
 
2.3%
None 74
 
0.1%
Letterlike Symbols 71
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9994
50.1%
1 4597
23.0%
m 1612
 
8.1%
5 1038
 
5.2%
2 561
 
2.8%
0 495
 
2.5%
. 360
 
1.8%
( 283
 
1.4%
) 267
 
1.3%
9 235
 
1.2%
Other values (8) 507
 
2.5%
Hangul
ValueCountFrequency (%)
이 2828
 
8.5%
모 2662
 
8.0%
든 2615
 
7.8%
규 2615
 
7.8%
격 2615
 
7.8%
미 2400
 
7.2%
만 2400
 
7.2%
용 1642
 
4.9%
개 1344
 
4.0%
인 1268
 
3.8%
Other values (71) 11074
33.1%
CJK Compat
ValueCountFrequency (%)
㎡ 886
71.7%
㎝ 337
 
27.3%
㎏ 13
 
1.1%
None
ValueCountFrequency (%)
× 74
100.0%
Letterlike Symbols
ValueCountFrequency (%)
ℓ 71
100.0%

물품표준코드
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.76
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T02:04:20.349150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2466577
Coefficient of variation (CV)0.70832824
Kurtosis3.3457709
Mean1.76
Median Absolute Deviation (MAD)0
Skewness1.9865078
Sum17600
Variance1.5541554
MonotonicityNot monotonic
2023-12-13T02:04:20.486574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 5952
59.5%
2 2498
25.0%
3 538
 
5.4%
5 365
 
3.6%
4 335
 
3.4%
6 311
 
3.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
1 5952
59.5%
2 2498
25.0%
3 538
 
5.4%
4 335
 
3.4%
5 365
 
3.6%
6 311
 
3.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
7 1
 
< 0.1%
6 311
 
3.1%
5 365
 
3.6%
4 335
 
3.4%
3 538
 
5.4%
2 2498
25.0%
1 5952
59.5%

총 수수료
Real number (ℝ)

Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3457.55
Minimum500
Maximum140000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T02:04:20.639105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum500
5-th percentile1000
Q12000
median3000
Q34000
95-th percentile8000
Maximum140000
Range139500
Interquartile range (IQR)2000

Descriptive statistics

Standard deviation2790.4841
Coefficient of variation (CV)0.80706978
Kurtosis590.95199
Mean3457.55
Median Absolute Deviation (MAD)1000
Skewness14.22782
Sum34575500
Variance7786801.7
MonotonicityNot monotonic
2023-12-13T02:04:20.781031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
2000 3565
35.6%
3000 2472
24.7%
4000 1432
14.3%
5000 828
 
8.3%
1000 400
 
4.0%
8000 377
 
3.8%
10000 258
 
2.6%
500 234
 
2.3%
6000 213
 
2.1%
7000 91
 
0.9%
Other values (16) 130
 
1.3%
ValueCountFrequency (%)
500 234
 
2.3%
1000 400
 
4.0%
2000 3565
35.6%
2500 1
 
< 0.1%
3000 2472
24.7%
4000 1432
14.3%
5000 828
 
8.3%
6000 213
 
2.1%
7000 91
 
0.9%
8000 377
 
3.8%
ValueCountFrequency (%)
140000 1
 
< 0.1%
45000 1
 
< 0.1%
40000 1
 
< 0.1%
36000 2
< 0.1%
32000 2
< 0.1%
30000 2
< 0.1%
26000 1
 
< 0.1%
24000 1
 
< 0.1%
20000 3
< 0.1%
18000 1
 
< 0.1%

배출일
Date

Distinct131
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-08-01 00:00:00
Maximum2022-12-31 00:00:00
2023-12-13T02:04:20.959205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:04:21.131617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

접수일자
Date

Distinct121
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-08-01 00:00:00
Maximum2022-11-30 00:00:00
2023-12-13T02:04:21.329586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:04:21.514753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

수거일자
Date

Distinct114
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-08-02 00:00:00
Maximum2023-01-09 00:00:00
2023-12-13T02:04:21.669350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:04:21.804676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-13T02:04:15.167871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:04:12.370975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:04:13.049346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:04:13.658654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:04:14.397667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:04:15.282814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:04:12.473408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:04:13.170131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:04:13.780693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:04:14.543862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:04:15.411624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:04:12.616905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:04:13.277602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:04:13.901085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:04:14.689403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:04:15.561152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:04:12.750009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:04:13.400471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:04:14.063453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:04:14.862927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:04:15.688624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:04:12.869728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:04:13.528305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:04:14.245159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:04:15.014847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:04:21.917753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번배출품명배출규격수량배출동물품코드물품명물품표준코드총 수수료
순번1.0000.1770.2120.0120.1710.0900.2120.0640.000
배출품명0.1771.0000.9950.0000.5811.0000.9950.8630.388
배출규격0.2120.9951.0000.4410.7600.9711.0001.0000.771
수량0.0120.0000.4411.0000.0730.0000.4410.0000.744
배출동0.1710.5810.7600.0731.0000.3320.7600.2330.085
물품코드0.0901.0000.9710.0000.3321.0000.9710.5590.267
물품명0.2120.9951.0000.4410.7600.9711.0001.0000.771
물품표준코드0.0640.8631.0000.0000.2330.5591.0001.0000.093
총 수수료0.0000.3880.7710.7440.0850.2670.7710.0931.000
2023-12-13T02:04:22.053373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번수량물품코드물품표준코드총 수수료배출동
순번1.0000.0110.0230.035-0.0110.061
수량0.0111.0000.030-0.0120.1400.029
물품코드0.0230.0301.000-0.141-0.2840.123
물품표준코드0.035-0.012-0.1411.0000.4220.101
총 수수료-0.0110.140-0.2840.4221.0000.036
배출동0.0610.0290.1230.1010.0361.000

Missing values

2023-12-13T02:04:15.862644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:04:16.132105image/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

순번배출품명배출규격수량배출동물품코드물품명물품표준코드총 수수료배출일접수일자수거일자
7040970410의자목(장)의자1용문동34목(장)의자230002022-11-072022-11-072022-11-14
5893358934의자1개1탄방동341개120002022-11-292022-11-292022-12-06
9213392134서랍장5단미만1내동385단미만240002022-11-252022-11-242022-12-02
1584615847의자1개1둔산1동341개120002022-08-162022-08-152022-08-26
72897290문짝모든규격1도안동51모든규격140002022-09-132022-09-132022-09-20
38343835광고판1㎡이상1복수동651㎡이상350002022-08-182022-08-172022-08-26
3734037341목재길이1m이상1둔산3동63길이1m이상110002022-08-262022-08-252022-09-02
4206542066컴퓨터본체1도안동10본체130002022-09-162022-09-152022-09-23
1142211423탁자모든규격1괴정동31모든규격140002022-08-012022-08-012022-08-08
6982769828상모든규격1괴정동30모든규격120002022-10-052022-10-042022-10-12
순번배출품명배출규격수량배출동물품코드물품명물품표준코드총 수수료배출일접수일자수거일자
1173011731소파1인용1갈마1동411인용520002022-08-122022-08-122022-08-19
5565055651장판5.5㎡미만1탄방동605.5㎡미만220002022-10-222022-10-212022-10-29
7595875959공기청정기높이1m이상1만년동8높이1m이상140002022-11-152022-11-142022-11-22
4525445255벽시계모든규격1탄방동46모든규격120002022-08-182022-08-182022-08-25
4630546306씽크대편수1변동28편수220002022-08-292022-08-292022-09-05
7846078461식탁6인용미만1둔산1동266인용미만240002022-11-062022-11-052022-11-14
4359443595TV받침대모든규격1갈마1동3모든규격130002022-08-182022-08-172022-08-25
69096910소파1인용1괴정동411인용520002022-08-252022-08-242022-08-29
82288229옷걸이모든규격1월평1동40모든규격120002022-09-112022-09-112022-09-19
3674136742의자1개1도마1동341개120002022-09-062022-09-062022-09-13