Overview

Dataset statistics

Number of variables22
Number of observations10000
Missing cells1045
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 MiB
Average record size in memory200.0 B

Variable types

Numeric10
Categorical9
DateTime3

Dataset

Description인천광역시 중구 쓰레기종량제봉투 입출고수불 현황에 대한 데이터 입니다. 파일명 인천광역시_중구_쓰레기종량제봉투 입출고수불 현황 파일내용 군구코드, 수불일자, 구분코드 등
URLhttps://www.data.go.kr/data/15049361/fileData.do

Alerts

군구코드 has constant value ""Constant
군구 has constant value ""Constant
전송구분 has constant value ""Constant
배치구분 has constant value ""Constant
수수료 has constant value ""Constant
데이터기준일자 has constant value ""Constant
구분코드 is highly imbalanced (77.2%)Imbalance
종류구분 is highly imbalanced (75.6%)Imbalance
수정구분 is highly imbalanced (91.3%)Imbalance
입출구분 is highly imbalanced (52.6%)Imbalance
지정판매소코드 has 1045 (10.4%) missing valuesMissing
연번 has unique valuesUnique
금액 has 1045 (10.4%) zerosZeros
입출고처 has 221 (2.2%) zerosZeros
합계금액 has 1045 (10.4%) zerosZeros

Reproduction

Analysis started2023-12-12 01:08:39.732596
Analysis finished2023-12-12 01:08:40.297819
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32764.686
Minimum15
Maximum65530
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T10:08:40.386928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile3292.75
Q116234.25
median32716.5
Q349388.25
95-th percentile62242.7
Maximum65530
Range65515
Interquartile range (IQR)33154

Descriptive statistics

Standard deviation18989.943
Coefficient of variation (CV)0.57958568
Kurtosis-1.2148823
Mean32764.686
Median Absolute Deviation (MAD)16588
Skewness-1.9046379 × 10-5
Sum3.2764686 × 108
Variance3.6061793 × 108
MonotonicityNot monotonic
2023-12-12T10:08:40.557944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7135 1
 
< 0.1%
23872 1
 
< 0.1%
2375 1
 
< 0.1%
19418 1
 
< 0.1%
22913 1
 
< 0.1%
63758 1
 
< 0.1%
18149 1
 
< 0.1%
33417 1
 
< 0.1%
3489 1
 
< 0.1%
10666 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
15 1
< 0.1%
19 1
< 0.1%
25 1
< 0.1%
28 1
< 0.1%
33 1
< 0.1%
42 1
< 0.1%
54 1
< 0.1%
58 1
< 0.1%
59 1
< 0.1%
65 1
< 0.1%
ValueCountFrequency (%)
65530 1
< 0.1%
65518 1
< 0.1%
65512 1
< 0.1%
65506 1
< 0.1%
65497 1
< 0.1%
65492 1
< 0.1%
65486 1
< 0.1%
65477 1
< 0.1%
65475 1
< 0.1%
65461 1
< 0.1%

군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1110301020
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1110301020
2nd row1110301020
3rd row1110301020
4th row1110301020
5th row1110301020

Common Values

ValueCountFrequency (%)
1110301020 10000
100.0%

Length

2023-12-12T10:08:40.730621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:08:40.849281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1110301020 10000
100.0%

군구
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
인천광역시중구시설관리공단
10000 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인천광역시중구시설관리공단 10000
100.0%

Length

2023-12-12T10:08:41.000552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:08:41.143343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시중구시설관리공단 10000
100.0%
Distinct109
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-01-02 00:00:00
Maximum2023-06-12 00:00:00
2023-12-12T10:08:41.288650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:08:41.475952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구분코드
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
23
8950 
11
 
788
10
 
221
22
 
35
16
 
5

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row23
2nd row23
3rd row23
4th row23
5th row23

Common Values

ValueCountFrequency (%)
23 8950
89.5%
11 788
 
7.9%
10 221
 
2.2%
22 35
 
0.4%
16 5
 
0.1%
1A 1
 
< 0.1%

Length

2023-12-12T10:08:41.654670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:08:41.786369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
23 8950
89.5%
11 788
 
7.9%
10 221
 
2.2%
22 35
 
0.4%
16 5
 
< 0.1%
1a 1
 
< 0.1%

수불일련번호
Real number (ℝ)

Distinct175
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.1762
Minimum1
Maximum659
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T10:08:41.937226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum659
Range658
Interquartile range (IQR)0

Descriptive statistics

Standard deviation38.953902
Coefficient of variation (CV)7.525579
Kurtosis161.59771
Mean5.1762
Median Absolute Deviation (MAD)0
Skewness12.167288
Sum51762
Variance1517.4065
MonotonicityNot monotonic
2023-12-12T10:08:42.091337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 9467
94.7%
2 77
 
0.8%
3 35
 
0.4%
4 34
 
0.3%
6 32
 
0.3%
8 22
 
0.2%
5 22
 
0.2%
9 22
 
0.2%
7 20
 
0.2%
10 17
 
0.2%
Other values (165) 252
 
2.5%
ValueCountFrequency (%)
1 9467
94.7%
2 77
 
0.8%
3 35
 
0.4%
4 34
 
0.3%
5 22
 
0.2%
6 32
 
0.3%
7 20
 
0.2%
8 22
 
0.2%
9 22
 
0.2%
10 17
 
0.2%
ValueCountFrequency (%)
659 1
< 0.1%
656 1
< 0.1%
655 1
< 0.1%
642 1
< 0.1%
637 1
< 0.1%
634 1
< 0.1%
629 1
< 0.1%
628 1
< 0.1%
623 1
< 0.1%
619 1
< 0.1%

상품코드
Real number (ℝ)

Distinct2136
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7998421 × 1011
Minimum2.4000003 × 108
Maximum9.9998 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T10:08:42.313831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.4000003 × 108
5-th percentile9.3700008 × 109
Q11.5085 × 1011
median3.5237 × 1011
Q35.9057 × 1011
95-th percentile9.9948 × 1011
Maximum9.9998 × 1011
Range9.9974 × 1011
Interquartile range (IQR)4.3972 × 1011

Descriptive statistics

Standard deviation3.134778 × 1011
Coefficient of variation (CV)0.82497587
Kurtosis-0.57394184
Mean3.7998421 × 1011
Median Absolute Deviation (MAD)2.0153 × 1011
Skewness0.71641259
Sum3.7998421 × 1015
Variance9.8268334 × 1022
MonotonicityNot monotonic
2023-12-12T10:08:42.498740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
352370000000 998
 
10.0%
962030000000 805
 
8.1%
163870000000 785
 
7.8%
371780000000 748
 
7.5%
590570000000 604
 
6.0%
345910000000 357
 
3.6%
284410000000 321
 
3.2%
150850000000 214
 
2.1%
515560000000 198
 
2.0%
999480000000 198
 
2.0%
Other values (2126) 4772
47.7%
ValueCountFrequency (%)
240000034 1
< 0.1%
240000037 2
< 0.1%
240000043 2
< 0.1%
240000063 1
< 0.1%
240000068 1
< 0.1%
240000069 1
< 0.1%
240000070 1
< 0.1%
240000074 2
< 0.1%
240000076 1
< 0.1%
240000123 1
< 0.1%
ValueCountFrequency (%)
999980000000 16
 
0.2%
999940000000 5
 
0.1%
999930000000 36
 
0.4%
999900000000 31
 
0.3%
999830000000 9
 
0.1%
999770000000 4
 
< 0.1%
999760000000 5
 
0.1%
999750000000 185
1.8%
999680000000 15
 
0.1%
999560000000 9
 
0.1%

종류구분
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
8846 
1
1074 
4
 
52
5
 
24
3
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 8846
88.5%
1 1074
 
10.7%
4 52
 
0.5%
5 24
 
0.2%
3 4
 
< 0.1%

Length

2023-12-12T10:08:42.649886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:08:42.761034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 8846
88.5%
1 1074
 
10.7%
4 52
 
0.5%
5 24
 
0.2%
3 4
 
< 0.1%

금액
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35897.88
Minimum0
Maximum2275000
Zeros1045
Zeros (%)10.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T10:08:42.886393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1910
median14180
Q321210
95-th percentile132000
Maximum2275000
Range2275000
Interquartile range (IQR)20300

Descriptive statistics

Standard deviation103828.75
Coefficient of variation (CV)2.8923366
Kurtosis92.795801
Mean35897.88
Median Absolute Deviation (MAD)13270
Skewness7.3908275
Sum3.589788 × 108
Variance1.078041 × 1010
MonotonicityNot monotonic
2023-12-12T10:08:43.032931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
910 1804
18.0%
4550 1352
13.5%
21210 1348
13.5%
14180 1146
11.5%
0 1045
10.4%
57000 727
7.3%
11000 537
 
5.4%
28900 357
 
3.6%
16500 239
 
2.4%
22000 181
 
1.8%
Other values (34) 1264
12.6%
ValueCountFrequency (%)
0 1045
10.4%
910 1804
18.0%
2820 4
 
< 0.1%
3900 6
 
0.1%
3980 6
 
0.1%
4300 5
 
0.1%
4550 1352
13.5%
5640 5
 
0.1%
9300 6
 
0.1%
11000 537
 
5.4%
ValueCountFrequency (%)
2275000 3
 
< 0.1%
1908000 1
 
< 0.1%
1100000 1
 
< 0.1%
636300 84
0.8%
570000 111
1.1%
550000 1
 
< 0.1%
455000 17
 
0.2%
425400 66
0.7%
300000 2
 
< 0.1%
289000 27
 
0.3%

수량
Real number (ℝ)

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118.0383
Minimum1
Maximum10000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T10:08:43.160803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median10
Q3100
95-th percentile1000
Maximum10000
Range9999
Interquartile range (IQR)99

Descriptive statistics

Standard deviation371.93641
Coefficient of variation (CV)3.1509807
Kurtosis349.87015
Mean118.0383
Median Absolute Deviation (MAD)9
Skewness14.328559
Sum1180383
Variance138336.69
MonotonicityNot monotonic
2023-12-12T10:08:43.280177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 3243
32.4%
10 2830
28.3%
100 1960
19.6%
1000 641
 
6.4%
300 489
 
4.9%
20 486
 
4.9%
50 231
 
2.3%
500 33
 
0.3%
5 32
 
0.3%
2000 27
 
0.3%
Other values (3) 28
 
0.3%
ValueCountFrequency (%)
1 3243
32.4%
2 5
 
0.1%
5 32
 
0.3%
10 2830
28.3%
20 486
 
4.9%
50 231
 
2.3%
100 1960
19.6%
200 16
 
0.2%
300 489
 
4.9%
500 33
 
0.3%
ValueCountFrequency (%)
10000 7
 
0.1%
2000 27
 
0.3%
1000 641
 
6.4%
500 33
 
0.3%
300 489
 
4.9%
200 16
 
0.2%
100 1960
19.6%
50 231
 
2.3%
20 486
 
4.9%
10 2830
28.3%

수정구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
9890 
D
 
110

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowD
2nd rowI
3rd rowI
4th rowI
5th rowI

Common Values

ValueCountFrequency (%)
I 9890
98.9%
D 110
 
1.1%

Length

2023-12-12T10:08:43.436460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:08:43.574109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 9890
98.9%
d 110
 
1.1%

입출고처
Real number (ℝ)

ZEROS 

Distinct329
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27014153
Minimum0
Maximum30121078
Zeros221
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T10:08:43.721601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile110301
Q130103047
median30107820
Q330114098
95-th percentile30121064
Maximum30121078
Range30121078
Interquartile range (IQR)11051

Descriptive statistics

Standard deviation9091363.2
Coefficient of variation (CV)0.33654075
Kurtosis4.8161031
Mean27014153
Median Absolute Deviation (MAD)6192
Skewness-2.606353
Sum2.7014153 × 1011
Variance8.2652884 × 1013
MonotonicityNot monotonic
2023-12-12T10:08:43.899605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
110301 788
 
7.9%
30105024 247
 
2.5%
30104023 228
 
2.3%
0 221
 
2.2%
30103004 191
 
1.9%
30101016 178
 
1.8%
30114107 158
 
1.6%
30106066 151
 
1.5%
30103001 150
 
1.5%
30102002 149
 
1.5%
Other values (319) 7539
75.4%
ValueCountFrequency (%)
0 221
 
2.2%
110301 788
7.9%
11030100 2
 
< 0.1%
11030101 2
 
< 0.1%
11030102 5
 
0.1%
11030103 2
 
< 0.1%
11030104 1
 
< 0.1%
11030106 6
 
0.1%
11030112 17
 
0.2%
30101006 38
 
0.4%
ValueCountFrequency (%)
30121078 2
 
< 0.1%
30121077 5
 
0.1%
30121076 29
 
0.3%
30121075 30
 
0.3%
30121074 10
 
0.1%
30121072 100
1.0%
30121071 110
1.1%
30121070 1
 
< 0.1%
30121068 51
0.5%
30121066 10
 
0.1%

전표일련번호
Real number (ℝ)

Distinct329
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.9352
Minimum1
Maximum657
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T10:08:44.102479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median15
Q337
95-th percentile94.05
Maximum657
Range656
Interquartile range (IQR)31

Descriptive statistics

Standard deviation52.560718
Coefficient of variation (CV)1.6990586
Kurtosis45.166539
Mean30.9352
Median Absolute Deviation (MAD)11
Skewness5.6884628
Sum309352
Variance2762.6291
MonotonicityNot monotonic
2023-12-12T10:08:44.287112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 495
 
5.0%
2 478
 
4.8%
3 475
 
4.8%
5 440
 
4.4%
4 418
 
4.2%
6 365
 
3.6%
9 349
 
3.5%
7 336
 
3.4%
8 312
 
3.1%
10 275
 
2.8%
Other values (319) 6057
60.6%
ValueCountFrequency (%)
1 495
5.0%
2 478
4.8%
3 475
4.8%
4 418
4.2%
5 440
4.4%
6 365
3.6%
7 336
3.4%
8 312
3.1%
9 349
3.5%
10 275
2.8%
ValueCountFrequency (%)
657 1
< 0.1%
654 1
< 0.1%
653 1
< 0.1%
640 1
< 0.1%
635 1
< 0.1%
632 1
< 0.1%
627 1
< 0.1%
626 1
< 0.1%
621 1
< 0.1%
617 1
< 0.1%

봉투종류
Real number (ℝ)

Distinct34
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45002.919
Minimum10122
Maximum80152
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T10:08:44.449617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10122
5-th percentile10152
Q110192
median60112
Q370717
95-th percentile80152
Maximum80152
Range70030
Interquartile range (IQR)60525

Descriptive statistics

Standard deviation28575.618
Coefficient of variation (CV)0.63497255
Kurtosis-1.7564504
Mean45002.919
Median Absolute Deviation (MAD)10625
Skewness-0.29868277
Sum4.5002919 × 108
Variance8.1656596 × 108
MonotonicityNot monotonic
2023-12-12T10:08:44.611524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
70717 1858
18.6%
10192 1579
15.8%
70737 1382
13.8%
10172 1325
13.2%
80152 519
 
5.2%
10152 501
 
5.0%
10132 322
 
3.2%
60102 305
 
3.0%
51186 230
 
2.3%
60112 219
 
2.2%
Other values (24) 1760
17.6%
ValueCountFrequency (%)
10122 105
 
1.1%
10132 322
 
3.2%
10152 501
 
5.0%
10172 1325
13.2%
10192 1579
15.8%
20172 31
 
0.3%
20192 41
 
0.4%
40172 84
 
0.8%
40202 123
 
1.2%
50186 194
 
1.9%
ValueCountFrequency (%)
80152 519
 
5.2%
80132 186
 
1.9%
70737 1382
13.8%
70717 1858
18.6%
64228 16
 
0.2%
64188 9
 
0.1%
64158 15
 
0.1%
64138 9
 
0.1%
64128 11
 
0.1%
64118 13
 
0.1%

입출구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
8985 
1
1015 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 8985
89.8%
1 1015
 
10.2%

Length

2023-12-12T10:08:44.781507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:08:44.881938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 8985
89.8%
1 1015
 
10.2%
Distinct109
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-01-02 00:00:00
Maximum2023-06-12 00:00:00
2023-12-12T10:08:45.000423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:08:45.574139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

전송구분
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 10000
100.0%

Length

2023-12-12T10:08:45.766615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:08:45.880030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

지정판매소코드
Real number (ℝ)

MISSING 

Distinct320
Distinct (%)3.6%
Missing1045
Missing (%)10.4%
Infinite0
Infinite (%)0.0%
Mean1.103011 × 1010
Minimum1.1030101 × 1010
Maximum1.1030121 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T10:08:46.013765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1030101 × 1010
5-th percentile1.1030101 × 1010
Q11.1030104 × 1010
median1.1030111 × 1010
Q31.1030114 × 1010
95-th percentile1.1030121 × 1010
Maximum1.1030121 × 1010
Range20072
Interquartile range (IQR)10084

Descriptive statistics

Standard deviation6445.0033
Coefficient of variation (CV)5.8430995 × 10-7
Kurtosis-1.073253
Mean1.103011 × 1010
Median Absolute Deviation (MAD)5082
Skewness0.24977677
Sum9.8774638 × 1013
Variance41538067
MonotonicityNot monotonic
2023-12-12T10:08:46.254102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11030105024 247
 
2.5%
11030104023 228
 
2.3%
11030103004 191
 
1.9%
11030101016 178
 
1.8%
11030114107 158
 
1.6%
11030106066 151
 
1.5%
11030103001 150
 
1.5%
11030102002 149
 
1.5%
11030107814 148
 
1.5%
11030114061 142
 
1.4%
Other values (310) 7213
72.1%
(Missing) 1045
 
10.4%
ValueCountFrequency (%)
11030101006 38
 
0.4%
11030101016 178
1.8%
11030101020 11
 
0.1%
11030101035 4
 
< 0.1%
11030101041 5
 
0.1%
11030101044 42
 
0.4%
11030101054 103
1.0%
11030101057 10
 
0.1%
11030101059 18
 
0.2%
11030101060 46
 
0.5%
ValueCountFrequency (%)
11030121078 2
 
< 0.1%
11030121077 5
 
0.1%
11030121076 29
 
0.3%
11030121075 30
 
0.3%
11030121074 10
 
0.1%
11030121072 100
1.0%
11030121071 110
1.1%
11030121070 1
 
< 0.1%
11030121068 51
0.5%
11030121066 10
 
0.1%

배치구분
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 10000
100.0%

Length

2023-12-12T10:08:46.457381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:08:46.578566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 10000
100.0%

수수료
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 10000
100.0%

Length

2023-12-12T10:08:46.701849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:08:46.847995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

합계금액
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35897.88
Minimum0
Maximum2275000
Zeros1045
Zeros (%)10.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T10:08:47.044715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1910
median14180
Q321210
95-th percentile132000
Maximum2275000
Range2275000
Interquartile range (IQR)20300

Descriptive statistics

Standard deviation103828.75
Coefficient of variation (CV)2.8923366
Kurtosis92.795801
Mean35897.88
Median Absolute Deviation (MAD)13270
Skewness7.3908275
Sum3.589788 × 108
Variance1.078041 × 1010
MonotonicityNot monotonic
2023-12-12T10:08:47.255895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
910 1804
18.0%
4550 1352
13.5%
21210 1348
13.5%
14180 1146
11.5%
0 1045
10.4%
57000 727
7.3%
11000 537
 
5.4%
28900 357
 
3.6%
16500 239
 
2.4%
22000 181
 
1.8%
Other values (34) 1264
12.6%
ValueCountFrequency (%)
0 1045
10.4%
910 1804
18.0%
2820 4
 
< 0.1%
3900 6
 
0.1%
3980 6
 
0.1%
4300 5
 
0.1%
4550 1352
13.5%
5640 5
 
0.1%
9300 6
 
0.1%
11000 537
 
5.4%
ValueCountFrequency (%)
2275000 3
 
< 0.1%
1908000 1
 
< 0.1%
1100000 1
 
< 0.1%
636300 84
0.8%
570000 111
1.1%
550000 1
 
< 0.1%
455000 17
 
0.2%
425400 66
0.7%
300000 2
 
< 0.1%
289000 27
 
0.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-08-30 00:00:00
Maximum2023-08-30 00:00:00
2023-12-12T10:08:47.448607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:08:47.574046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

연번군구코드군구수불일자구분코드수불일련번호상품코드종류구분금액수량수정구분입출고처전표일련번호봉투종류입출구분생성일자전송구분지정판매소코드배치구분수수료합계금액데이터기준일자
713471351110301020인천광역시중구시설관리공단2023-01-16231150850000000211000100D30114113126010222023-01-1601103011411310110002023-08-30
25025250261110301020인천광역시중구시설관리공단2023-03-0623135237000000029101I30114128367071722023-03-06011030114128109102023-08-30
39226392271110301020인천광역시중구시설관리공단2023-04-10231937001634122121010I30112081161019222023-04-1001103011208110212102023-08-30
56705567061110301020인천광역시중구시설관리공단2023-05-18231371780000000245501I30107819617073722023-05-180110301078191045502023-08-30
43018430191110301020인천광역시중구시설관리공단2023-04-1823196203000000029101I30106066247071722023-04-18011030106066109102023-08-30
63899639001110301020인천광역시중구시설관리공단2023-06-07111776100000000101000I110301846010212023-06-070<NA>1002023-08-30
54223542241110301020인천광역시중구시설관리공단2023-05-15236999480000000218200050I3011200425118622023-05-15011030112004101820002023-08-30
39465394661110301020인천광역시중구시설관리공단2023-04-1023196203000000029101I30114125157071722023-04-10011030114125109102023-08-30
53399534001110301020인천광역시중구시설관리공단2023-05-11231371780000000245501I30102012517073722023-05-110110301020121045502023-08-30
26076260771110301020인천광역시중구시설관리공단2023-03-08231937000380922121010I30121035101019222023-03-0801103012103510212102023-08-30
연번군구코드군구수불일자구분코드수불일련번호상품코드종류구분금액수량수정구분입출고처전표일련번호봉투종류입출구분생성일자전송구분지정판매소코드배치구분수수료합계금액데이터기준일자
27818278191110301020인천광역시중구시설관리공단2023-03-10231590570000000245501I30104023697073722023-03-100110301040231045502023-08-30
41701417021110301020인천광역시중구시설관리공단2023-04-13231371780000000245501I3010203067073722023-04-130110301020301045502023-08-30
21193211941110301020인천광역시중구시설관리공단2023-02-2223135237000000029101I30121072277071722023-02-22011030121072109102023-08-30
707970801110301020인천광역시중구시설관리공단2023-01-16231999770000000228201I3011412855018622023-01-160110301141281028202023-08-30
34551345521110301020인천광역시중구시설관리공단2023-03-292311638600000002425400300I3012107541017222023-03-29011030121075104254002023-08-30
47212472131110301020인천광역시중구시설관리공단2023-04-2723158840005623257000100I3010202521015222023-04-2701103010202510570002023-08-30
11378113791110301020인천광역시중구시설관리공단2023-02-01231227230000000228900100I3011101611013222023-02-0101103011101610289002023-08-30
32197321981110301020인천광역시중구시설관리공단2023-03-2223170027000000029540010I30111103104020222023-03-2201103011110310954002023-08-30
60352603531110301020인천광역시중구시설관리공단2023-05-302311638600000002425400300I3010105461017222023-05-30011030101054104254002023-08-30
39142391431110301020인천광역시중구시설관리공단2023-04-10231937000008722121010I3011406781019222023-04-1001103011406710212102023-08-30