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 (78.4%)Imbalance
종류구분 is highly imbalanced (74.9%)Imbalance
수정구분 is highly imbalanced (92.3%)Imbalance
입출구분 is highly imbalanced (51.1%)Imbalance
지정판매소코드 has 1084 (10.8%) missing valuesMissing
연번 has unique valuesUnique
금액 has 1084 (10.8%) zerosZeros
입출고처 has 222 (2.2%) zerosZeros
합계금액 has 1084 (10.8%) zerosZeros

Reproduction

Analysis started2024-03-18 03:28:37.347877
Analysis finished2024-03-18 03:28:37.772764
Duration0.42 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%
Mean32683.047
Minimum2
Maximum65535
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-18T12:28:37.829941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3311.9
Q116419.5
median32839.5
Q348870.75
95-th percentile62170.05
Maximum65535
Range65533
Interquartile range (IQR)32451.25

Descriptive statistics

Standard deviation18899.652
Coefficient of variation (CV)0.5782708
Kurtosis-1.1986087
Mean32683.047
Median Absolute Deviation (MAD)16214.5
Skewness-0.00082238738
Sum3.2683047 × 108
Variance3.5719683 × 108
MonotonicityNot monotonic
2024-03-18T12:28:37.935209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
44919 1
 
< 0.1%
5927 1
 
< 0.1%
36997 1
 
< 0.1%
25750 1
 
< 0.1%
41228 1
 
< 0.1%
33939 1
 
< 0.1%
64470 1
 
< 0.1%
8701 1
 
< 0.1%
16741 1
 
< 0.1%
46030 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
2 1
< 0.1%
5 1
< 0.1%
7 1
< 0.1%
14 1
< 0.1%
21 1
< 0.1%
28 1
< 0.1%
29 1
< 0.1%
39 1
< 0.1%
41 1
< 0.1%
46 1
< 0.1%
ValueCountFrequency (%)
65535 1
< 0.1%
65532 1
< 0.1%
65512 1
< 0.1%
65501 1
< 0.1%
65490 1
< 0.1%
65487 1
< 0.1%
65483 1
< 0.1%
65480 1
< 0.1%
65479 1
< 0.1%
65473 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

2024-03-18T12:28:38.048305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:28:38.127512image/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

2024-03-18T12:28:38.217299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:28:38.327949image/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
2024-03-18T12:28:38.446080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:28:38.744566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구분코드
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
23
8906 
11
 
832
10
 
222
22
 
28
16
 
10
Other values (2)
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row23
2nd row23
3rd row23
4th row11
5th row23

Common Values

ValueCountFrequency (%)
23 8906
89.1%
11 832
 
8.3%
10 222
 
2.2%
22 28
 
0.3%
16 10
 
0.1%
2A 1
 
< 0.1%
1A 1
 
< 0.1%

Length

2024-03-18T12:28:38.880347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:28:38.967476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
23 8906
89.1%
11 832
 
8.3%
10 222
 
2.2%
22 28
 
0.3%
16 10
 
0.1%
2a 1
 
< 0.1%
1a 1
 
< 0.1%

수불일련번호
Real number (ℝ)

Distinct183
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.7595
Minimum1
Maximum663
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-18T12:28:39.075275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum663
Range662
Interquartile range (IQR)0

Descriptive statistics

Standard deviation42.693802
Coefficient of variation (CV)7.4127619
Kurtosis137.23062
Mean5.7595
Median Absolute Deviation (MAD)0
Skewness11.304756
Sum57595
Variance1822.7607
MonotonicityNot monotonic
2024-03-18T12:28:39.224454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 9478
94.8%
2 69
 
0.7%
3 35
 
0.4%
4 26
 
0.3%
6 25
 
0.2%
7 22
 
0.2%
5 22
 
0.2%
8 17
 
0.2%
10 16
 
0.2%
9 15
 
0.1%
Other values (173) 275
 
2.8%
ValueCountFrequency (%)
1 9478
94.8%
2 69
 
0.7%
3 35
 
0.4%
4 26
 
0.3%
5 22
 
0.2%
6 25
 
0.2%
7 22
 
0.2%
8 17
 
0.2%
9 15
 
0.1%
10 16
 
0.2%
ValueCountFrequency (%)
663 1
< 0.1%
661 1
< 0.1%
651 1
< 0.1%
646 1
< 0.1%
641 1
< 0.1%
634 1
< 0.1%
626 1
< 0.1%
624 1
< 0.1%
622 1
< 0.1%
620 1
< 0.1%

상품코드
Real number (ℝ)

Distinct2184
Distinct (%)21.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7303361 × 1011
Minimum2.4000004 × 108
Maximum9.9998 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-18T12:28:39.345349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.4000004 × 108
5-th percentile9.3700003 × 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 deviation3.1104563 × 1011
Coefficient of variation (CV)0.83382736
Kurtosis-0.50322322
Mean3.7303361 × 1011
Median Absolute Deviation (MAD)1.9507 × 1011
Skewness0.74781445
Sum3.7303361 × 1015
Variance9.6749386 × 1022
MonotonicityNot monotonic
2024-03-18T12:28:39.469078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
352370000000 992
 
9.9%
163870000000 784
 
7.8%
962030000000 773
 
7.7%
371780000000 730
 
7.3%
590570000000 576
 
5.8%
345910000000 382
 
3.8%
284410000000 309
 
3.1%
515560000000 213
 
2.1%
150850000000 196
 
2.0%
999750000000 185
 
1.8%
Other values (2174) 4860
48.6%
ValueCountFrequency (%)
240000036 2
< 0.1%
240000037 1
< 0.1%
240000038 2
< 0.1%
240000044 1
< 0.1%
240000045 1
< 0.1%
240000046 2
< 0.1%
240000047 1
< 0.1%
240000064 1
< 0.1%
240000066 1
< 0.1%
240000074 1
< 0.1%
ValueCountFrequency (%)
999980000000 16
 
0.2%
999940000000 4
 
< 0.1%
999930000000 37
 
0.4%
999900000000 17
 
0.2%
999830000000 8
 
0.1%
999770000000 3
 
< 0.1%
999760000000 9
 
0.1%
999750000000 185
1.8%
999680000000 27
 
0.3%
999560000000 4
 
< 0.1%

종류구분
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
8799 
1
1122 
4
 
45
5
 
21
3
 
13

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 8799
88.0%
1 1122
 
11.2%
4 45
 
0.4%
5 21
 
0.2%
3 13
 
0.1%

Length

2024-03-18T12:28:39.570990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:28:39.649745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 8799
88.0%
1 1122
 
11.2%
4 45
 
0.4%
5 21
 
0.2%
3 13
 
0.1%

금액
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37041.95
Minimum0
Maximum2275000
Zeros1084
Zeros (%)10.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-18T12:28:39.740352image/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 deviation107816.74
Coefficient of variation (CV)2.9106658
Kurtosis72.090933
Mean37041.95
Median Absolute Deviation (MAD)13270
Skewness6.7914572
Sum3.704195 × 108
Variance1.1624449 × 1010
MonotonicityNot monotonic
2024-03-18T12:28:39.840809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
910 1765
17.6%
21210 1353
13.5%
4550 1306
13.1%
14180 1169
11.7%
0 1084
10.8%
57000 716
7.2%
11000 541
 
5.4%
28900 371
 
3.7%
16500 243
 
2.4%
22000 193
 
1.9%
Other values (34) 1259
12.6%
ValueCountFrequency (%)
0 1084
10.8%
910 1765
17.6%
2820 3
 
< 0.1%
3640 2
 
< 0.1%
3900 5
 
0.1%
3980 4
 
< 0.1%
4300 7
 
0.1%
4550 1306
13.1%
5640 6
 
0.1%
9300 1
 
< 0.1%
ValueCountFrequency (%)
2275000 1
 
< 0.1%
1908000 4
 
< 0.1%
1100000 2
 
< 0.1%
636300 108
1.1%
570000 106
1.1%
550000 1
 
< 0.1%
455000 14
 
0.1%
425400 67
0.7%
300000 10
 
0.1%
289000 30
 
0.3%

수량
Real number (ℝ)

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122.8454
Minimum1
Maximum10000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-18T12:28:39.928886image/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 deviation380.76793
Coefficient of variation (CV)3.0995701
Kurtosis318.69756
Mean122.8454
Median Absolute Deviation (MAD)9
Skewness13.544272
Sum1228454
Variance144984.22
MonotonicityNot monotonic
2024-03-18T12:28:40.011383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 3162
31.6%
10 2840
28.4%
100 1942
19.4%
1000 639
 
6.4%
300 538
 
5.4%
20 516
 
5.2%
50 217
 
2.2%
2000 46
 
0.5%
5 42
 
0.4%
500 33
 
0.3%
Other values (3) 25
 
0.2%
ValueCountFrequency (%)
1 3162
31.6%
2 6
 
0.1%
5 42
 
0.4%
10 2840
28.4%
20 516
 
5.2%
50 217
 
2.2%
100 1942
19.4%
200 12
 
0.1%
300 538
 
5.4%
500 33
 
0.3%
ValueCountFrequency (%)
10000 7
 
0.1%
2000 46
 
0.5%
1000 639
 
6.4%
500 33
 
0.3%
300 538
 
5.4%
200 12
 
0.1%
100 1942
19.4%
50 217
 
2.2%
20 516
 
5.2%
10 2840
28.4%

수정구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
9906 
D
 
94

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 9906
99.1%
D 94
 
0.9%

Length

2024-03-18T12:28:40.099657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:28:40.179418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 9906
99.1%
d 94
 
0.9%

입출고처
Real number (ℝ)

ZEROS 

Distinct330
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26892525
Minimum0
Maximum30121078
Zeros222
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-18T12:28:40.278679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile110301
Q130103047
median30107820
Q330114100
95-th percentile30121061
Maximum30121078
Range30121078
Interquartile range (IQR)11053

Descriptive statistics

Standard deviation9256406.5
Coefficient of variation (CV)0.34419998
Kurtosis4.4540979
Mean26892525
Median Absolute Deviation (MAD)6194
Skewness-2.5370698
Sum2.6892525 × 1011
Variance8.5681062 × 1013
MonotonicityNot monotonic
2024-03-18T12:28:40.383476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
110301 832
 
8.3%
30105024 250
 
2.5%
30104023 228
 
2.3%
0 222
 
2.2%
30114107 187
 
1.9%
30101016 182
 
1.8%
30103004 164
 
1.6%
30106066 162
 
1.6%
30107009 146
 
1.5%
30107814 141
 
1.4%
Other values (320) 7486
74.9%
ValueCountFrequency (%)
0 222
 
2.2%
110301 832
8.3%
11030100 1
 
< 0.1%
11030101 2
 
< 0.1%
11030102 7
 
0.1%
11030103 6
 
0.1%
11030106 1
 
< 0.1%
11030112 11
 
0.1%
30101006 35
 
0.4%
30101016 182
 
1.8%
ValueCountFrequency (%)
30121078 4
 
< 0.1%
30121077 4
 
< 0.1%
30121076 37
 
0.4%
30121075 32
 
0.3%
30121074 16
 
0.2%
30121072 80
0.8%
30121071 105
1.1%
30121070 2
 
< 0.1%
30121068 34
 
0.3%
30121066 7
 
0.1%

전표일련번호
Real number (ℝ)

Distinct342
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.3088
Minimum1
Maximum661
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-18T12:28:40.496792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q16
median15
Q336
95-th percentile96
Maximum661
Range660
Interquartile range (IQR)30

Descriptive statistics

Standard deviation55.297092
Coefficient of variation (CV)1.7661837
Kurtosis44.21749
Mean31.3088
Median Absolute Deviation (MAD)11
Skewness5.7435947
Sum313088
Variance3057.7684
MonotonicityNot monotonic
2024-03-18T12:28:40.640922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 523
 
5.2%
3 488
 
4.9%
2 486
 
4.9%
4 436
 
4.4%
5 410
 
4.1%
6 391
 
3.9%
7 352
 
3.5%
9 297
 
3.0%
8 296
 
3.0%
10 277
 
2.8%
Other values (332) 6044
60.4%
ValueCountFrequency (%)
1 523
5.2%
2 486
4.9%
3 488
4.9%
4 436
4.4%
5 410
4.1%
6 391
3.9%
7 352
3.5%
8 296
3.0%
9 297
3.0%
10 277
2.8%
ValueCountFrequency (%)
661 1
< 0.1%
659 1
< 0.1%
649 1
< 0.1%
644 1
< 0.1%
639 1
< 0.1%
632 1
< 0.1%
624 1
< 0.1%
622 1
< 0.1%
620 1
< 0.1%
618 1
< 0.1%

봉투종류
Real number (ℝ)

Distinct34
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44373.771
Minimum10122
Maximum80152
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-18T12:28:40.749678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10122
5-th percentile10152
Q110192
median60112
Q370717
95-th percentile80132
Maximum80152
Range70030
Interquartile range (IQR)60525

Descriptive statistics

Standard deviation28638.012
Coefficient of variation (CV)0.64538152
Kurtosis-1.7828469
Mean44373.771
Median Absolute Deviation (MAD)10625
Skewness-0.262317
Sum4.4373771 × 108
Variance8.2013571 × 108
MonotonicityNot monotonic
2024-03-18T12:28:40.842441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
70717 1813
18.1%
10192 1629
16.3%
10172 1365
13.7%
70737 1342
13.4%
10152 518
 
5.2%
80152 483
 
4.8%
10132 331
 
3.3%
60102 284
 
2.8%
60112 229
 
2.3%
51186 214
 
2.1%
Other values (24) 1792
17.9%
ValueCountFrequency (%)
10122 102
 
1.0%
10132 331
 
3.3%
10152 518
 
5.2%
10172 1365
13.7%
10192 1629
16.3%
20172 17
 
0.2%
20192 41
 
0.4%
40172 82
 
0.8%
40202 115
 
1.1%
50186 197
 
2.0%
ValueCountFrequency (%)
80152 483
 
4.8%
80132 183
 
1.8%
70737 1342
13.4%
70717 1813
18.1%
64228 16
 
0.2%
64188 8
 
0.1%
64158 27
 
0.3%
64138 4
 
< 0.1%
64128 11
 
0.1%
64118 7
 
0.1%

입출구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
8935 
1
1065 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 8935
89.3%
1 1065
 
10.7%

Length

2024-03-18T12:28:40.940628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:28:41.041306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 8935
89.3%
1 1065
 
10.7%

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
2024-03-18T12:28:41.367891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:28:41.471608image/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

2024-03-18T12:28:41.592242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:28:41.663031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

지정판매소코드
Real number (ℝ)

MISSING 

Distinct322
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
2024-03-18T12:28:41.752160image/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)10086

Descriptive statistics

Standard deviation6469.4945
Coefficient of variation (CV)5.8653035 × 10-7
Kurtosis-1.0860139
Mean1.103011 × 1010
Median Absolute Deviation (MAD)5087
Skewness0.24879856
Sum9.8344464 × 1013
Variance41854360
MonotonicityNot monotonic
2024-03-18T12:28:41.863060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11030105024 250
 
2.5%
11030104023 228
 
2.3%
11030114107 187
 
1.9%
11030101016 182
 
1.8%
11030103004 164
 
1.6%
11030106066 162
 
1.6%
11030107009 146
 
1.5%
11030107814 141
 
1.4%
11030121064 138
 
1.4%
11030102002 137
 
1.4%
Other values (312) 7181
71.8%
(Missing) 1084
 
10.8%
ValueCountFrequency (%)
11030101006 35
 
0.4%
11030101016 182
1.8%
11030101020 9
 
0.1%
11030101035 12
 
0.1%
11030101041 2
 
< 0.1%
11030101044 40
 
0.4%
11030101054 83
0.8%
11030101057 11
 
0.1%
11030101059 13
 
0.1%
11030101060 35
 
0.4%
ValueCountFrequency (%)
11030121078 4
 
< 0.1%
11030121077 4
 
< 0.1%
11030121076 37
 
0.4%
11030121075 32
 
0.3%
11030121074 16
 
0.2%
11030121072 80
0.8%
11030121071 105
1.1%
11030121070 2
 
< 0.1%
11030121068 34
 
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

2024-03-18T12:28:41.962858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:28:42.033682image/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

2024-03-18T12:28:42.103627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:28:42.173762image/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%
Mean37041.95
Minimum0
Maximum2275000
Zeros1084
Zeros (%)10.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-18T12:28:42.260176image/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 deviation107816.74
Coefficient of variation (CV)2.9106658
Kurtosis72.090933
Mean37041.95
Median Absolute Deviation (MAD)13270
Skewness6.7914572
Sum3.704195 × 108
Variance1.1624449 × 1010
MonotonicityNot monotonic
2024-03-18T12:28:42.377863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
910 1765
17.6%
21210 1353
13.5%
4550 1306
13.1%
14180 1169
11.7%
0 1084
10.8%
57000 716
7.2%
11000 541
 
5.4%
28900 371
 
3.7%
16500 243
 
2.4%
22000 193
 
1.9%
Other values (34) 1259
12.6%
ValueCountFrequency (%)
0 1084
10.8%
910 1765
17.6%
2820 3
 
< 0.1%
3640 2
 
< 0.1%
3900 5
 
0.1%
3980 4
 
< 0.1%
4300 7
 
0.1%
4550 1306
13.1%
5640 6
 
0.1%
9300 1
 
< 0.1%
ValueCountFrequency (%)
2275000 1
 
< 0.1%
1908000 4
 
< 0.1%
1100000 2
 
< 0.1%
636300 108
1.1%
570000 106
1.1%
550000 1
 
< 0.1%
455000 14
 
0.1%
425400 67
0.7%
300000 10
 
0.1%
289000 30
 
0.3%

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

2024-03-18T12:28:42.480865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:28:42.558200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-30 10000
100.0%

Sample

연번군구코드군구수불일자구분코드수불일련번호상품코드종류구분금액수량수정구분입출고처전표일련번호봉투종류입출구분생성일자전송구분지정판매소코드배치구분수수료합계금액데이터기준일자
44918449191110301020인천광역시중구시설관리공단2023-04-24231104650000000215000100I3011412811012222023-04-2401103011412810150002023-08-30
24932249331110301020인천광역시중구시설관리공단2023-03-0623135237000000029101I30114061387071722023-03-06011030114061109102023-08-30
15766157671110301020인천광역시중구시설관리공단2023-02-0923135237000000029101I30104023407071722023-02-09011030104023109102023-08-30
61944619451110301020인천광역시중구시설관리공단2023-06-01111936000058910300I110301951019212023-06-010<NA>1002023-08-30
987498751110301020인천광역시중구시설관리공단2023-01-2623135237000000029101I30104023207071722023-01-26011030104023109102023-08-30
377437751110301020인천광역시중구시설관리공단2023-01-09106149994800000001050I06125118612023-01-090<NA>1002023-08-30
58919589201110301020인천광역시중구시설관리공단2023-05-24231353260000000216500100I30121065156011222023-05-2401103012106510165002023-08-30
57586575871110301020인천광역시중구시설관리공단2023-05-2223196203000000029101I30114128247071722023-05-22011030114128109102023-08-30
15742157431110301020인천광역시중구시설관리공단2023-02-0923135237000000029101I30104023167071722023-02-09011030104023109102023-08-30
15384153851110301020인천광역시중구시설관리공단2023-02-09111693450000000101000I1103011536012212023-02-090<NA>1002023-08-30
연번군구코드군구수불일자구분코드수불일련번호상품코드종류구분금액수량수정구분입출고처전표일련번호봉투종류입출구분생성일자전송구분지정판매소코드배치구분수수료합계금액데이터기준일자
48029480301110301020인천광역시중구시설관리공단2023-04-282319994900000002182005I30114107405118622023-04-2801103011410710182002023-08-30
19315193161110301020인천광역시중구시설관리공단2023-02-2023196203000000029101I30114061537071722023-02-20011030114061109102023-08-30
27261272621110301020인천광역시중구시설관리공단2023-03-0923112766000000024850010I3010300164017222023-03-0901103010300110485002023-08-30
50130501311110301020인천광역시중구시설관리공단2023-05-04231705160000000228900100I30107820258013222023-05-0401103010782010289002023-08-30
762676271110301020인천광역시중구시설관리공단2023-01-1723134591000000021418010I3010306351017222023-01-1701103010306310141802023-08-30
29410294111110301020인천광역시중구시설관리공단2023-03-15231150850000000211000100I3012104946010222023-03-1501103012104910110002023-08-30
14750147511110301020인천광역시중구시설관리공단2023-02-0823135237000000029101I3012100947071722023-02-08011030121009109102023-08-30
63429634301110301020인천광역시중구시설관리공단2023-06-05231371780000000245501I30106066777073722023-06-050110301060661045502023-08-30
485848591110301020인천광역시중구시설관리공단2023-01-1123134591000000021418010I30111013141017222023-01-1101103011101310141802023-08-30
37399374001110301020인천광역시중구시설관리공단2023-04-0523116387000000021418010I3012101531017222023-04-0501103012101510141802023-08-30