Overview

Dataset statistics

Number of variables22
Number of observations10000
Missing cells1084
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
Categorical10
DateTime2

Dataset

Description인천광역시 중구 쓰레기종량제봉투 입출고수불 현황에 대한 데이터 입니다.<br/><br/>파일명 인천광역시_중구_쓰레기종량제봉투 입출고수불 현황<br/>파일내용 군구코드, 수불일자, 구분코드 등<br/>
Author인천광역시 중구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15049361&srcSe=7661IVAWM27C61E190

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 (76.4%)Imbalance
종류구분 is highly imbalanced (74.8%)Imbalance
수정구분 is highly imbalanced (91.8%)Imbalance
입출구분 is highly imbalanced (51.4%)Imbalance
지정판매소코드 has 1084 (10.8%) missing valuesMissing
연번 has unique valuesUnique
금액 has 1084 (10.8%) zerosZeros
입출고처 has 229 (2.3%) zerosZeros
합계금액 has 1084 (10.8%) zerosZeros

Reproduction

Analysis started2024-03-18 03:28:29.486366
Analysis finished2024-03-18 03:28:29.812042
Duration0.33 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%
Mean32926.001
Minimum2
Maximum65531
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-18T12:28:29.876656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3149.8
Q116678.25
median32752
Q349342
95-th percentile62320.15
Maximum65531
Range65529
Interquartile range (IQR)32663.75

Descriptive statistics

Standard deviation18930.49
Coefficient of variation (CV)0.57494046
Kurtosis-1.1902653
Mean32926.001
Median Absolute Deviation (MAD)16338
Skewness-0.013583302
Sum3.2926001 × 108
Variance3.5836346 × 108
MonotonicityNot monotonic
2024-03-18T12:28:30.092385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
51656 1
 
< 0.1%
64980 1
 
< 0.1%
11277 1
 
< 0.1%
20776 1
 
< 0.1%
28907 1
 
< 0.1%
61017 1
 
< 0.1%
38151 1
 
< 0.1%
47111 1
 
< 0.1%
64429 1
 
< 0.1%
19991 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
2 1
< 0.1%
3 1
< 0.1%
15 1
< 0.1%
20 1
< 0.1%
21 1
< 0.1%
22 1
< 0.1%
33 1
< 0.1%
36 1
< 0.1%
39 1
< 0.1%
45 1
< 0.1%
ValueCountFrequency (%)
65531 1
< 0.1%
65528 1
< 0.1%
65504 1
< 0.1%
65501 1
< 0.1%
65498 1
< 0.1%
65490 1
< 0.1%
65485 1
< 0.1%
65470 1
< 0.1%
65466 1
< 0.1%
65459 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

2024-03-18T12:28:30.215820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:28:30.307926image/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

2024-03-18T12:28:30.395725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:28:30.470194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시중구시설관리공단 10000
100.0%

수불일자
Date

Distinct109
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-01-02 00:00:00
Maximum2023-06-12 00:00:00
2024-03-18T12:28:30.555866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:28:30.670363image/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
8907 
11
 
816
10
 
229
22
 
37
16
 
9

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row23
2nd row10
3rd row23
4th row23
5th row23

Common Values

ValueCountFrequency (%)
23 8907
89.1%
11 816
 
8.2%
10 229
 
2.3%
22 37
 
0.4%
16 9
 
0.1%
2A 2
 
< 0.1%

Length

2024-03-18T12:28:30.786316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:28:30.906388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
23 8907
89.1%
11 816
 
8.2%
10 229
 
2.3%
22 37
 
0.4%
16 9
 
0.1%
2a 2
 
< 0.1%

수불일련번호
Real number (ℝ)

Distinct174
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8777
Minimum1
Maximum653
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-18T12:28:31.005728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum653
Range652
Interquartile range (IQR)0

Descriptive statistics

Standard deviation36.208019
Coefficient of variation (CV)7.4231747
Kurtosis172.81904
Mean4.8777
Median Absolute Deviation (MAD)0
Skewness12.475298
Sum48777
Variance1311.0206
MonotonicityNot monotonic
2024-03-18T12:28:31.112369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 9492
94.9%
2 73
 
0.7%
6 32
 
0.3%
3 30
 
0.3%
5 29
 
0.3%
7 25
 
0.2%
4 24
 
0.2%
10 14
 
0.1%
8 14
 
0.1%
11 13
 
0.1%
Other values (164) 254
 
2.5%
ValueCountFrequency (%)
1 9492
94.9%
2 73
 
0.7%
3 30
 
0.3%
4 24
 
0.2%
5 29
 
0.3%
6 32
 
0.3%
7 25
 
0.2%
8 14
 
0.1%
9 10
 
0.1%
10 14
 
0.1%
ValueCountFrequency (%)
653 1
< 0.1%
644 1
< 0.1%
640 1
< 0.1%
631 1
< 0.1%
627 1
< 0.1%
625 1
< 0.1%
621 1
< 0.1%
597 1
< 0.1%
577 1
< 0.1%
573 1
< 0.1%

상품코드
Real number (ℝ)

Distinct2196
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7584699 × 1011
Minimum2.4000003 × 108
Maximum9.9998 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-18T12:28:31.224535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.4000003 × 108
5-th percentile9.3700005 × 109
Q11.5085 × 1011
median3.4591 × 1011
Q35.9057 × 1011
95-th percentile9.9948 × 1011
Maximum9.9998 × 1011
Range9.9974 × 1011
Interquartile range (IQR)4.3972 × 1011

Descriptive statistics

Standard deviation3.1357212 × 1011
Coefficient of variation (CV)0.83430793
Kurtosis-0.55048491
Mean3.7584699 × 1011
Median Absolute Deviation (MAD)1.9507 × 1011
Skewness0.73532332
Sum3.7584699 × 1015
Variance9.8327476 × 1022
MonotonicityNot monotonic
2024-03-18T12:28:31.336800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
352370000000 969
 
9.7%
163870000000 828
 
8.3%
962030000000 826
 
8.3%
371780000000 779
 
7.8%
590570000000 609
 
6.1%
345910000000 362
 
3.6%
284410000000 312
 
3.1%
150850000000 181
 
1.8%
515560000000 177
 
1.8%
227230000000 174
 
1.7%
Other values (2186) 4783
47.8%
ValueCountFrequency (%)
240000031 1
< 0.1%
240000040 1
< 0.1%
240000042 1
< 0.1%
240000043 1
< 0.1%
240000046 1
< 0.1%
240000067 1
< 0.1%
240000071 1
< 0.1%
240000074 1
< 0.1%
240000123 1
< 0.1%
240000124 1
< 0.1%
ValueCountFrequency (%)
999980000000 21
 
0.2%
999940000000 7
 
0.1%
999930000000 38
 
0.4%
999900000000 32
 
0.3%
999830000000 14
 
0.1%
999770000000 7
 
0.1%
999760000000 3
 
< 0.1%
999750000000 163
1.6%
999680000000 15
 
0.1%
999560000000 7
 
0.1%

종류구분
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
8794 
1
1124 
4
 
49
5
 
22
3
 
11

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 8794
87.9%
1 1124
 
11.2%
4 49
 
0.5%
5 22
 
0.2%
3 11
 
0.1%

Length

2024-03-18T12:28:31.438562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:28:31.514056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 8794
87.9%
1 1124
 
11.2%
4 49
 
0.5%
5 22
 
0.2%
3 11
 
0.1%

금액
Real number (ℝ)

ZEROS 

Distinct47
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36169.299
Minimum0
Maximum2275000
Zeros1084
Zeros (%)10.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-18T12:28:31.604849image/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 deviation107707.24
Coefficient of variation (CV)2.9778636
Kurtosis85.488176
Mean36169.299
Median Absolute Deviation (MAD)9880
Skewness7.2401016
Sum3.6169299 × 108
Variance1.160085 × 1010
MonotonicityNot monotonic
2024-03-18T12:28:31.708735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
910 1796
18.0%
4550 1388
13.9%
21210 1377
13.8%
14180 1193
11.9%
0 1084
10.8%
57000 706
 
7.1%
11000 493
 
4.9%
28900 329
 
3.3%
16500 238
 
2.4%
22000 176
 
1.8%
Other values (37) 1220
12.2%
ValueCountFrequency (%)
0 1084
10.8%
910 1796
18.0%
2820 7
 
0.1%
3640 1
 
< 0.1%
3900 8
 
0.1%
3980 6
 
0.1%
4300 11
 
0.1%
4550 1388
13.9%
5640 3
 
< 0.1%
9300 3
 
< 0.1%
ValueCountFrequency (%)
2275000 3
 
< 0.1%
1908000 1
 
< 0.1%
1455000 1
 
< 0.1%
1100000 2
 
< 0.1%
636300 108
1.1%
570000 105
1.1%
550000 5
 
0.1%
455000 16
 
0.2%
425400 50
0.5%
300000 4
 
< 0.1%

수량
Real number (ℝ)

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118.2106
Minimum1
Maximum10000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-18T12:28:31.831163image/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 deviation360.95712
Coefficient of variation (CV)3.0535089
Kurtosis338.74832
Mean118.2106
Median Absolute Deviation (MAD)9
Skewness13.666734
Sum1182106
Variance130290.05
MonotonicityNot monotonic
2024-03-18T12:28:31.939296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1 3289
32.9%
10 2857
28.6%
100 1877
18.8%
1000 652
 
6.5%
300 512
 
5.1%
20 493
 
4.9%
50 208
 
2.1%
500 33
 
0.3%
2000 29
 
0.3%
5 28
 
0.3%
Other values (6) 22
 
0.2%
ValueCountFrequency (%)
1 3289
32.9%
2 3
 
< 0.1%
5 28
 
0.3%
8 1
 
< 0.1%
9 1
 
< 0.1%
10 2857
28.6%
20 493
 
4.9%
24 1
 
< 0.1%
50 208
 
2.1%
100 1877
18.8%
ValueCountFrequency (%)
10000 6
 
0.1%
2000 29
 
0.3%
1000 652
 
6.5%
500 33
 
0.3%
300 512
 
5.1%
200 10
 
0.1%
100 1877
18.8%
50 208
 
2.1%
24 1
 
< 0.1%
20 493
 
4.9%

수정구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
9898 
D
 
102

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 9898
99.0%
D 102
 
1.0%

Length

2024-03-18T12:28:32.036622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:28:32.107760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 9898
99.0%
d 102
 
1.0%

입출고처
Real number (ℝ)

ZEROS 

Distinct330
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26902171
Minimum0
Maximum30121078
Zeros229
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-18T12:28:32.187690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile110301
Q130103047
median30107814
Q330114083
95-th percentile30121064
Maximum30121078
Range30121078
Interquartile range (IQR)11036

Descriptive statistics

Standard deviation9233920.8
Coefficient of variation (CV)0.34324074
Kurtosis4.4825229
Mean26902171
Median Absolute Deviation (MAD)6188
Skewness-2.5415974
Sum2.6902171 × 1011
Variance8.5265294 × 1013
MonotonicityNot monotonic
2024-03-18T12:28:32.299776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
110301 816
 
8.2%
30104023 289
 
2.9%
30105024 256
 
2.6%
0 229
 
2.3%
30103004 187
 
1.9%
30106066 184
 
1.8%
30101016 163
 
1.6%
30114107 156
 
1.6%
30107814 153
 
1.5%
30107009 144
 
1.4%
Other values (320) 7423
74.2%
ValueCountFrequency (%)
0 229
 
2.3%
110301 816
8.2%
11030100 4
 
< 0.1%
11030101 2
 
< 0.1%
11030102 7
 
0.1%
11030103 3
 
< 0.1%
11030104 1
 
< 0.1%
11030106 8
 
0.1%
11030112 12
 
0.1%
30101006 37
 
0.4%
ValueCountFrequency (%)
30121078 2
 
< 0.1%
30121077 3
 
< 0.1%
30121076 45
 
0.4%
30121075 32
 
0.3%
30121074 13
 
0.1%
30121072 93
0.9%
30121071 125
1.2%
30121070 2
 
< 0.1%
30121068 30
 
0.3%
30121066 7
 
0.1%

전표일련번호
Real number (ℝ)

Distinct317
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.1715
Minimum1
Maximum651
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-18T12:28:32.423309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median15
Q338
95-th percentile93
Maximum651
Range650
Interquartile range (IQR)32

Descriptive statistics

Standard deviation51.206965
Coefficient of variation (CV)1.6427495
Kurtosis41.767372
Mean31.1715
Median Absolute Deviation (MAD)11
Skewness5.4211698
Sum311715
Variance2622.1533
MonotonicityNot monotonic
2024-03-18T12:28:32.542570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 492
 
4.9%
2 489
 
4.9%
4 449
 
4.5%
3 435
 
4.3%
5 405
 
4.0%
6 371
 
3.7%
7 368
 
3.7%
8 352
 
3.5%
9 306
 
3.1%
10 295
 
2.9%
Other values (307) 6038
60.4%
ValueCountFrequency (%)
1 492
4.9%
2 489
4.9%
3 435
4.3%
4 449
4.5%
5 405
4.0%
6 371
3.7%
7 368
3.7%
8 352
3.5%
9 306
3.1%
10 295
2.9%
ValueCountFrequency (%)
651 1
< 0.1%
642 1
< 0.1%
638 1
< 0.1%
629 1
< 0.1%
625 1
< 0.1%
623 1
< 0.1%
619 1
< 0.1%
595 1
< 0.1%
575 1
< 0.1%
571 1
< 0.1%

봉투종류
Real number (ℝ)

Distinct34
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44526.461
Minimum10122
Maximum80152
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-18T12:28:32.818005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10122
5-th percentile10152
Q110192
median60112
Q370717
95-th percentile80133
Maximum80152
Range70030
Interquartile range (IQR)60525

Descriptive statistics

Standard deviation28711.396
Coefficient of variation (CV)0.64481649
Kurtosis-1.7863246
Mean44526.461
Median Absolute Deviation (MAD)10625
Skewness-0.26932479
Sum4.452646 × 108
Variance8.2434426 × 108
MonotonicityNot monotonic
2024-03-18T12:28:32.913273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
70717 1831
18.3%
10192 1649
16.5%
70737 1423
14.2%
10172 1349
13.5%
80152 500
 
5.0%
10152 498
 
5.0%
10132 329
 
3.3%
60102 268
 
2.7%
60112 231
 
2.3%
51186 197
 
2.0%
Other values (24) 1725
17.2%
ValueCountFrequency (%)
10122 106
 
1.1%
10132 329
 
3.3%
10152 498
 
5.0%
10172 1349
13.5%
10192 1649
16.5%
20172 32
 
0.3%
20192 45
 
0.4%
40172 68
 
0.7%
40202 113
 
1.1%
50186 173
 
1.7%
ValueCountFrequency (%)
80152 500
 
5.0%
80132 161
 
1.6%
70737 1423
14.2%
70717 1831
18.3%
64228 21
 
0.2%
64188 14
 
0.1%
64158 15
 
0.1%
64138 7
 
0.1%
64128 19
 
0.2%
64118 8
 
0.1%

입출구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
8946 
1
1054 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 8946
89.5%
1 1054
 
10.5%

Length

2024-03-18T12:28:33.025322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:28:33.099622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 8946
89.5%
1 1054
 
10.5%

생성일자
Date

Distinct109
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-01-02 00:00:00
Maximum2023-06-12 00:00:00
2024-03-18T12:28:33.176250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:28:33.283082image/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

2024-03-18T12:28:33.385589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:28:33.453628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

지정판매소코드
Real number (ℝ)

MISSING 

Distinct321
Distinct (%)3.6%
Missing1084
Missing (%)10.8%
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
2024-03-18T12:28:33.536309image/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 deviation6419.5755
Coefficient of variation (CV)5.8200465 × 10-7
Kurtosis-1.0548458
Mean1.103011 × 1010
Median Absolute Deviation (MAD)5082
Skewness0.28569909
Sum9.8344463 × 1013
Variance41210949
MonotonicityNot monotonic
2024-03-18T12:28:33.641870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11030104023 289
 
2.9%
11030105024 256
 
2.6%
11030103004 187
 
1.9%
11030106066 184
 
1.8%
11030101016 163
 
1.6%
11030114107 156
 
1.6%
11030107814 153
 
1.5%
11030107009 144
 
1.4%
11030102002 143
 
1.4%
11030121064 137
 
1.4%
Other values (311) 7104
71.0%
(Missing) 1084
 
10.8%
ValueCountFrequency (%)
11030101006 37
 
0.4%
11030101016 163
1.6%
11030101020 8
 
0.1%
11030101035 5
 
0.1%
11030101041 1
 
< 0.1%
11030101044 41
 
0.4%
11030101054 83
0.8%
11030101057 9
 
0.1%
11030101059 14
 
0.1%
11030101060 39
 
0.4%
ValueCountFrequency (%)
11030121078 2
 
< 0.1%
11030121077 3
 
< 0.1%
11030121076 45
 
0.4%
11030121075 32
 
0.3%
11030121074 13
 
0.1%
11030121072 93
0.9%
11030121071 125
1.2%
11030121070 2
 
< 0.1%
11030121068 30
 
0.3%
11030121066 7
 
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

2024-03-18T12:28:33.745017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:28:33.812814image/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

2024-03-18T12:28:33.883265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:28:33.984115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

합계금액
Real number (ℝ)

ZEROS 

Distinct47
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36169.299
Minimum0
Maximum2275000
Zeros1084
Zeros (%)10.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-18T12:28:34.097409image/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 deviation107707.24
Coefficient of variation (CV)2.9778636
Kurtosis85.488176
Mean36169.299
Median Absolute Deviation (MAD)9880
Skewness7.2401016
Sum3.6169299 × 108
Variance1.160085 × 1010
MonotonicityNot monotonic
2024-03-18T12:28:34.201844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
910 1796
18.0%
4550 1388
13.9%
21210 1377
13.8%
14180 1193
11.9%
0 1084
10.8%
57000 706
 
7.1%
11000 493
 
4.9%
28900 329
 
3.3%
16500 238
 
2.4%
22000 176
 
1.8%
Other values (37) 1220
12.2%
ValueCountFrequency (%)
0 1084
10.8%
910 1796
18.0%
2820 7
 
0.1%
3640 1
 
< 0.1%
3900 8
 
0.1%
3980 6
 
0.1%
4300 11
 
0.1%
4550 1388
13.9%
5640 3
 
< 0.1%
9300 3
 
< 0.1%
ValueCountFrequency (%)
2275000 3
 
< 0.1%
1908000 1
 
< 0.1%
1455000 1
 
< 0.1%
1100000 2
 
< 0.1%
636300 108
1.1%
570000 105
1.1%
550000 5
 
0.1%
455000 16
 
0.2%
425400 50
0.5%
300000 4
 
< 0.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-08-30
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-30
2nd row2023-08-30
3rd row2023-08-30
4th row2023-08-30
5th row2023-08-30

Common Values

ValueCountFrequency (%)
2023-08-30 10000
100.0%

Length

2024-03-18T12:28:34.297857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:28:34.365200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-30 10000
100.0%

Sample

연번군구코드군구수불일자구분코드수불일련번호상품코드종류구분금액수량수정구분입출고처전표일련번호봉투종류입출구분생성일자전송구분지정판매소코드배치구분수수료합계금액데이터기준일자
51655516561110301020인천광역시중구시설관리공단2023-05-0923196203000000029101I30106066437071722023-05-09011030106066109102023-08-30
319431951110301020인천광역시중구시설관리공단2023-01-0910349994800000001050I0325118612023-01-090<NA>1002023-08-30
1131141110301020인천광역시중구시설관리공단2023-01-0223128441000000022121010I3011406311019222023-01-0201103011406310212102023-08-30
52230522311110301020인천광역시중구시설관리공단2023-05-1023170027000000029540010I3012102564020222023-05-1001103012102510954002023-08-30
61385613861110301020인천광역시중구시설관리공단2023-05-3123196203000000029101I30111185417071722023-05-31011030111185109102023-08-30
65056650571110301020인천광역시중구시설관리공단2023-06-08231150850000000211000100I3010309536010222023-06-0801103010309510110002023-08-30
451745181110301020인천광역시중구시설관리공단2023-01-1023135237000000029101I30103004347071722023-01-10011030103004109102023-08-30
751775181110301020인천광역시중구시설관리공단2023-01-17231515560000000257000100I3010305111015222023-01-1701103010305110570002023-08-30
149915001110301020인천광역시중구시설관리공단2023-01-04231189310000000257000100I30111185308015222023-01-0401103011118510570002023-08-30
55067550681110301020인천광역시중구시설관리공단2023-05-1623196203000000029101I30106066477071722023-05-16011030106066109102023-08-30
연번군구코드군구수불일자구분코드수불일련번호상품코드종류구분금액수량수정구분입출고처전표일련번호봉투종류입출구분생성일자전송구분지정판매소코드배치구분수수료합계금액데이터기준일자
44231442321110301020인천광역시중구시설관리공단2023-04-2023116387000000021418010I3010202971017222023-04-2001103010202910141802023-08-30
20256202571110301020인천광역시중구시설관리공단2023-02-21101439997500000001050I01415018612023-02-210<NA>1002023-08-30
51972519731110301020인천광역시중구시설관리공단2023-05-10231104650000000215000100I3012102751012222023-05-1001103012102710150002023-08-30
19086190871110301020인천광역시중구시설관리공단2023-02-20231937000052622121010I3011205861019222023-02-2001103011205810212102023-08-30
908690871110301020인천광역시중구시설관리공단2023-01-1923128441000000022121010I30107820111019222023-01-1901103010782010212102023-08-30
63916639171110301020인천광역시중구시설관리공단2023-06-07231150850000000211000100I30111181106010222023-06-0701103011118110110002023-08-30
15605156061110301020인천광역시중구시설관리공단2023-02-09231156940000000216500100I30107813216311722023-02-0901103010781310165002023-08-30
49064490651110301020인천광역시중구시설관리공단2023-05-03231353260000000216500100I3012106496011222023-05-0301103012106410165002023-08-30
970797081110301020인천광역시중구시설관리공단2023-01-2623134591000000021418010I3010200291017222023-01-2601103010200210141802023-08-30
60050600511110301020인천광역시중구시설관리공단2023-05-26239999480000000218200050I30114107145118622023-05-26011030114107101820002023-08-30