Overview

Dataset statistics

Number of variables29
Number of observations2294
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory580.3 KiB
Average record size in memory259.1 B

Variable types

DateTime1
Categorical5
Numeric23

Reproduction

Analysis started2024-04-29 12:58:37.066673
Analysis finished2024-04-29 12:58:37.360540
Duration0.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

집계년월
Date

Distinct74
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
Minimum2017-11-01 00:00:00
Maximum2023-12-01 00:00:00
2024-04-29T21:58:37.443689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:58:37.733487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

시군명
Categorical

Distinct31
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
가평군
 
74
고양시
 
74
과천시
 
74
광명시
 
74
광주시
 
74
Other values (26)
1924 

Length

Max length4
Median length3
Mean length3.0967742
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가평군
2nd row고양시
3rd row과천시
4th row광명시
5th row광주시

Common Values

ValueCountFrequency (%)
가평군 74
 
3.2%
고양시 74
 
3.2%
과천시 74
 
3.2%
광명시 74
 
3.2%
광주시 74
 
3.2%
구리시 74
 
3.2%
군포시 74
 
3.2%
김포시 74
 
3.2%
남양주시 74
 
3.2%
동두천시 74
 
3.2%
Other values (21) 1554
67.7%

Length

2024-04-29T21:58:37.893431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
가평군 74
 
3.2%
안양시 74
 
3.2%
하남시 74
 
3.2%
포천시 74
 
3.2%
평택시 74
 
3.2%
파주시 74
 
3.2%
이천시 74
 
3.2%
의정부시 74
 
3.2%
의왕시 74
 
3.2%
용인시 74
 
3.2%
Other values (21) 1554
67.7%

시내버스료(성인/카드)
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
1450
1612 
1250
682 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1450
2nd row1450
3rd row1450
4th row1450
5th row1450

Common Values

ValueCountFrequency (%)
1450 1612
70.3%
1250 682
29.7%

Length

2024-04-29T21:58:38.002056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:58:38.083270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1450 1612
70.3%
1250 682
29.7%

시내버스료(성인/현금)
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
1500
1612 
1300
682 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1500
2nd row1500
3rd row1500
4th row1500
5th row1500

Common Values

ValueCountFrequency (%)
1500 1612
70.3%
1300 682
29.7%

Length

2024-04-29T21:58:38.181705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:58:38.263219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1500 1612
70.3%
1300 682
29.7%

택시료(중형)
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
3800
1552 
3000
556 
4800
186 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4800
2nd row4800
3rd row4800
4th row4800
5th row4800

Common Values

ValueCountFrequency (%)
3800 1552
67.7%
3000 556
 
24.2%
4800 186
 
8.1%

Length

2024-04-29T21:58:38.348115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:58:38.434386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3800 1552
67.7%
3000 556
 
24.2%
4800 186
 
8.1%

도시가스료(가정용/취사)소비자요금조사가격(1mj기준)
Real number (ℝ)

Distinct12
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.418576
Minimum14.4416
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.3 KiB
2024-04-29T21:58:38.515928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.4416
5-th percentile14.5123
Q114.5123
median15.6362
Q316.226
95-th percentile21
Maximum21
Range6.5584
Interquartile range (IQR)1.7137

Descriptive statistics

Standard deviation2.2045296
Coefficient of variation (CV)0.13427045
Kurtosis-0.14834779
Mean16.418576
Median Absolute Deviation (MAD)1.1239
Skewness1.1596241
Sum37664.213
Variance4.8599508
MonotonicityNot monotonic
2024-04-29T21:58:38.616359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
14.5123 611
26.6%
15.6362 363
15.8%
16.226 360
15.7%
21.0 248
10.8%
15.0887 248
10.8%
20.0 124
 
5.4%
19.979 93
 
4.1%
17.279 93
 
4.1%
16.169 62
 
2.7%
14.9423 31
 
1.4%
Other values (2) 61
 
2.7%
ValueCountFrequency (%)
14.4416 30
 
1.3%
14.5123 611
26.6%
14.9423 31
 
1.4%
15.0887 248
10.8%
15.6362 363
15.8%
15.6764 31
 
1.4%
16.169 62
 
2.7%
16.226 360
15.7%
17.279 93
 
4.1%
19.979 93
 
4.1%
ValueCountFrequency (%)
21.0 248
10.8%
20.0 124
 
5.4%
19.979 93
 
4.1%
17.279 93
 
4.1%
16.226 360
15.7%
16.169 62
 
2.7%
15.6764 31
 
1.4%
15.6362 363
15.8%
15.0887 248
10.8%
14.9423 31
 
1.4%

도시가스료(가정용/취사)도매요금조사가격(1mj기준)
Real number (ℝ)

Distinct10
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.791995
Minimum12.9284
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.3 KiB
2024-04-29T21:58:38.713484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12.9284
5-th percentile12.9284
Q112.9284
median14.123
Q314.7128
95-th percentile19
Maximum19
Range6.0716
Interquartile range (IQR)1.7844

Descriptive statistics

Standard deviation2.0713934
Coefficient of variation (CV)0.14003476
Kurtosis-0.26530631
Mean14.791995
Median Absolute Deviation (MAD)1.1946
Skewness1.0845173
Sum33932.836
Variance4.2906706
MonotonicityNot monotonic
2024-04-29T21:58:38.809081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
12.9284 651
28.4%
14.7128 372
16.2%
14.123 372
16.2%
19.0 248
 
10.8%
13.5353 248
 
10.8%
18.0 124
 
5.4%
18.3951 93
 
4.1%
15.6951 93
 
4.1%
14.5851 62
 
2.7%
13.3584 31
 
1.4%
ValueCountFrequency (%)
12.9284 651
28.4%
13.3584 31
 
1.4%
13.5353 248
 
10.8%
14.123 372
16.2%
14.5851 62
 
2.7%
14.7128 372
16.2%
15.6951 93
 
4.1%
18.0 124
 
5.4%
18.3951 93
 
4.1%
19.0 248
 
10.8%
ValueCountFrequency (%)
19.0 248
 
10.8%
18.3951 93
 
4.1%
18.0 124
 
5.4%
15.6951 93
 
4.1%
14.7128 372
16.2%
14.5851 62
 
2.7%
14.123 372
16.2%
13.5353 248
 
10.8%
13.3584 31
 
1.4%
12.9284 651
28.4%

도시가스료(가정용/취사)소매요금조사가격(1mj기준)
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
1.5839
899 
1.5132
744 
2.0
372 
1.5534
279 

Length

Max length6
Median length6
Mean length5.5135135
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.5839 899
39.2%
1.5132 744
32.4%
2.0 372
16.2%
1.5534 279
 
12.2%

Length

2024-04-29T21:58:38.917119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:58:39.020346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.5839 899
39.2%
1.5132 744
32.4%
2.0 372
16.2%
1.5534 279
 
12.2%

도시가스료(가정용/취사)소비자요금환산가격(516mj)
Real number (ℝ)

Distinct15
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8471.074
Minimum7451.8644
Maximum10862
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.3 KiB
2024-04-29T21:58:39.149217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7451.8644
5-th percentile7488.3468
Q17488.3468
median8068.2792
Q38372.616
95-th percentile10862
Maximum10862
Range3410.1356
Interquartile range (IQR)884.2692

Descriptive statistics

Standard deviation1142.818
Coefficient of variation (CV)0.13490828
Kurtosis-0.13265323
Mean8471.074
Median Absolute Deviation (MAD)579.9324
Skewness1.1647764
Sum19432644
Variance1306033
MonotonicityNot monotonic
2024-04-29T21:58:39.257385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
7488.3468 619
27.0%
8372.616 360
15.7%
8068.2792 332
14.5%
7785.7692 248
10.8%
10862.0 155
 
6.8%
10309.0 124
 
5.4%
10848.0 93
 
4.1%
10309.164 93
 
4.1%
8915.964 93
 
4.1%
8343.204 62
 
2.7%
Other values (5) 115
 
5.0%
ValueCountFrequency (%)
7451.8644 2
 
0.1%
7451.8656 30
 
1.3%
7488.3468 619
27.0%
7710.2268 31
 
1.4%
7785.7692 248
10.8%
8068.2792 332
14.5%
8068.28 21
 
0.9%
8089.0224 31
 
1.4%
8343.204 62
 
2.7%
8372.616 360
15.7%
ValueCountFrequency (%)
10862.0 155
6.8%
10848.0 93
 
4.1%
10309.164 93
 
4.1%
10309.0 124
 
5.4%
8915.964 93
 
4.1%
8372.616 360
15.7%
8343.204 62
 
2.7%
8089.0224 31
 
1.4%
8068.28 21
 
0.9%
8068.2792 332
14.5%

도시가스료(가정용/취사)도매요금환산가격(516mj)
Real number (ℝ)

Distinct11
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7666.6448
Minimum6671.0544
Maximum10031
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.3 KiB
2024-04-29T21:58:39.356787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6671.0544
5-th percentile6671.0544
Q16671.0544
median7287.468
Q37591.8048
95-th percentile10031
Maximum10031
Range3359.9456
Interquartile range (IQR)920.7504

Descriptive statistics

Standard deviation1137.0316
Coefficient of variation (CV)0.14830889
Kurtosis-0.15913121
Mean7666.6448
Median Absolute Deviation (MAD)616.4136
Skewness1.1426412
Sum17587283
Variance1292840.9
MonotonicityNot monotonic
2024-04-29T21:58:39.459205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
6671.0544 651
28.4%
7287.468 363
15.8%
7591.8048 360
15.7%
10031.0 248
 
10.8%
6984.2148 248
 
10.8%
9492.0 124
 
5.4%
9491.8716 93
 
4.1%
8098.6716 93
 
4.1%
7525.9116 62
 
2.7%
6892.9344 31
 
1.4%
ValueCountFrequency (%)
6671.0544 651
28.4%
6892.9344 31
 
1.4%
6984.2148 248
 
10.8%
7287.468 363
15.8%
7287.47 21
 
0.9%
7525.9116 62
 
2.7%
7591.8048 360
15.7%
8098.6716 93
 
4.1%
9491.8716 93
 
4.1%
9492.0 124
 
5.4%
ValueCountFrequency (%)
10031.0 248
10.8%
9492.0 124
 
5.4%
9491.8716 93
 
4.1%
8098.6716 93
 
4.1%
7591.8048 360
15.7%
7525.9116 62
 
2.7%
7287.47 21
 
0.9%
7287.468 363
15.8%
6984.2148 248
10.8%
6892.9344 31
 
1.4%

도시가스료(가정용/취사)소매요금환산가격(516mj)
Real number (ℝ)

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean804.42919
Minimum780.81
Maximum831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.3 KiB
2024-04-29T21:58:39.576074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum780.81
5-th percentile780.8112
Q1780.8112
median817
Q3817.2924
95-th percentile831
Maximum831
Range50.19
Interquartile range (IQR)36.4812

Descriptive statistics

Standard deviation17.5988
Coefficient of variation (CV)0.021877377
Kurtosis-1.4582569
Mean804.42919
Median Absolute Deviation (MAD)14
Skewness-0.36608976
Sum1845360.6
Variance309.71778
MonotonicityNot monotonic
2024-04-29T21:58:39.673428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
817.2924 898
39.1%
780.8112 722
31.5%
801.5544 279
 
12.2%
817.0 217
 
9.5%
831.0 155
 
6.8%
780.81 23
 
1.0%
ValueCountFrequency (%)
780.81 23
 
1.0%
780.8112 722
31.5%
801.5544 279
 
12.2%
817.0 217
 
9.5%
817.2924 898
39.1%
831.0 155
 
6.8%
ValueCountFrequency (%)
831.0 155
 
6.8%
817.2924 898
39.1%
817.0 217
 
9.5%
801.5544 279
 
12.2%
780.8112 722
31.5%
780.81 23
 
1.0%

상수도료구경요금(13mm)조사가격(1㎥기준)
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean792.72276
Minimum0
Maximum1700
Zeros193
Zeros (%)8.4%
Negative0
Negative (%)0.0%
Memory size20.3 KiB
2024-04-29T21:58:39.786935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1550
median660
Q31160
95-th percentile1640
Maximum1700
Range1700
Interquartile range (IQR)610

Descriptive statistics

Standard deviation430.88843
Coefficient of variation (CV)0.54355502
Kurtosis-0.30023617
Mean792.72276
Median Absolute Deviation (MAD)165
Skewness0.34099696
Sum1818506
Variance185664.84
MonotonicityNot monotonic
2024-04-29T21:58:39.901756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
600 216
 
9.4%
0 193
 
8.4%
1200 95
 
4.1%
500 88
 
3.8%
570 74
 
3.2%
1700 74
 
3.2%
440 74
 
3.2%
1252 74
 
3.2%
1570 74
 
3.2%
580 74
 
3.2%
Other values (19) 1258
54.8%
ValueCountFrequency (%)
0 193
8.4%
440 74
 
3.2%
490 45
 
2.0%
500 88
3.8%
520 62
 
2.7%
530 74
 
3.2%
550 74
 
3.2%
570 74
 
3.2%
580 74
 
3.2%
582 74
 
3.2%
ValueCountFrequency (%)
1700 74
3.2%
1640 74
3.2%
1570 74
3.2%
1340 74
3.2%
1252 74
3.2%
1250 74
3.2%
1200 95
4.1%
1160 63
2.7%
1090 74
3.2%
1080 11
 
0.5%

상수도료1㎥이하조사가격(1㎥기준)
Real number (ℝ)

Distinct52
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean534.8544
Minimum270
Maximum890
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.3 KiB
2024-04-29T21:58:40.024266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum270
5-th percentile330
Q1440
median529
Q3580
95-th percentile870
Maximum890
Range620
Interquartile range (IQR)140

Descriptive statistics

Standard deviation146.3345
Coefficient of variation (CV)0.27359688
Kurtosis0.20691727
Mean534.8544
Median Absolute Deviation (MAD)81
Skewness0.71405427
Sum1226956
Variance21413.785
MonotonicityNot monotonic
2024-04-29T21:58:40.168751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
540 162
 
7.1%
400 148
 
6.5%
670 148
 
6.5%
570 128
 
5.6%
450 125
 
5.4%
580 90
 
3.9%
690 80
 
3.5%
410 74
 
3.2%
555 74
 
3.2%
330 74
 
3.2%
Other values (42) 1191
51.9%
ValueCountFrequency (%)
270 62
2.7%
300 20
 
0.9%
330 74
3.2%
340 12
 
0.5%
360 6
 
0.3%
370 42
 
1.8%
375 68
3.0%
389 21
 
0.9%
390 2
 
0.1%
400 148
6.5%
ValueCountFrequency (%)
890 74
3.2%
870 59
 
2.6%
833 74
3.2%
770 12
 
0.5%
725 22
 
1.0%
690 80
3.5%
680 3
 
0.1%
670 148
6.5%
665 12
 
0.5%
640 12
 
0.5%

상수도료1㎥초과-10㎥이하조사가격(1㎥기준)
Real number (ℝ)

Distinct53
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean535.01656
Minimum270
Maximum890
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.3 KiB
2024-04-29T21:58:40.307472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum270
5-th percentile330
Q1440
median529
Q3580
95-th percentile870
Maximum890
Range620
Interquartile range (IQR)140

Descriptive statistics

Standard deviation146.18982
Coefficient of variation (CV)0.27324354
Kurtosis0.21325911
Mean535.01656
Median Absolute Deviation (MAD)81
Skewness0.71550754
Sum1227328
Variance21371.463
MonotonicityNot monotonic
2024-04-29T21:58:40.441789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
540 162
 
7.1%
400 148
 
6.5%
670 148
 
6.5%
570 128
 
5.6%
450 125
 
5.4%
580 90
 
3.9%
690 80
 
3.5%
410 74
 
3.2%
330 74
 
3.2%
555 74
 
3.2%
Other values (43) 1191
51.9%
ValueCountFrequency (%)
270 62
2.7%
300 20
 
0.9%
330 74
3.2%
340 12
 
0.5%
360 6
 
0.3%
370 42
 
1.8%
375 68
3.0%
389 9
 
0.4%
390 2
 
0.1%
400 148
6.5%
ValueCountFrequency (%)
890 74
3.2%
870 59
 
2.6%
833 74
3.2%
770 12
 
0.5%
725 22
 
1.0%
690 80
3.5%
680 3
 
0.1%
670 148
6.5%
665 12
 
0.5%
640 12
 
0.5%

상수도료10㎥초과-12㎥이하조사가격(1㎥기준)
Real number (ℝ)

Distinct53
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean548.00436
Minimum270
Maximum969
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.3 KiB
2024-04-29T21:58:40.573720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum270
5-th percentile330
Q1440
median540
Q3610
95-th percentile890
Maximum969
Range699
Interquartile range (IQR)170

Descriptive statistics

Standard deviation164.49384
Coefficient of variation (CV)0.30016886
Kurtosis0.31443053
Mean548.00436
Median Absolute Deviation (MAD)100
Skewness0.86340069
Sum1257122
Variance27058.224
MonotonicityNot monotonic
2024-04-29T21:58:40.696752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
540 162
 
7.1%
400 148
 
6.5%
670 148
 
6.5%
570 128
 
5.6%
450 125
 
5.4%
580 90
 
3.9%
690 80
 
3.5%
410 74
 
3.2%
330 74
 
3.2%
555 74
 
3.2%
Other values (43) 1191
51.9%
ValueCountFrequency (%)
270 62
2.7%
300 20
 
0.9%
330 74
3.2%
340 12
 
0.5%
360 6
 
0.3%
370 42
 
1.8%
375 68
3.0%
389 9
 
0.4%
390 2
 
0.1%
400 148
6.5%
ValueCountFrequency (%)
969 74
3.2%
917 13
 
0.6%
890 74
3.2%
879 11
 
0.5%
870 59
2.6%
849 12
 
0.5%
819 12
 
0.5%
788 12
 
0.5%
770 12
 
0.5%
725 22
 
1.0%

상수도료12㎥초과-20㎥이하조사가격(1㎥기준)
Real number (ℝ)

Distinct53
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean551.585
Minimum270
Maximum969
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.3 KiB
2024-04-29T21:58:40.993843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum270
5-th percentile330
Q1440
median540
Q3666
95-th percentile890
Maximum969
Range699
Interquartile range (IQR)226

Descriptive statistics

Standard deviation165.81056
Coefficient of variation (CV)0.30060745
Kurtosis0.14742637
Mean551.585
Median Absolute Deviation (MAD)115
Skewness0.7897815
Sum1265336
Variance27493.142
MonotonicityNot monotonic
2024-04-29T21:58:41.132363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
540 162
 
7.1%
400 148
 
6.5%
670 148
 
6.5%
570 128
 
5.6%
450 125
 
5.4%
580 90
 
3.9%
690 80
 
3.5%
410 74
 
3.2%
330 74
 
3.2%
666 74
 
3.2%
Other values (43) 1191
51.9%
ValueCountFrequency (%)
270 62
2.7%
300 20
 
0.9%
330 74
3.2%
340 12
 
0.5%
360 6
 
0.3%
370 42
 
1.8%
375 68
3.0%
389 9
 
0.4%
390 2
 
0.1%
400 148
6.5%
ValueCountFrequency (%)
969 74
3.2%
917 13
 
0.6%
890 74
3.2%
879 11
 
0.5%
870 59
2.6%
849 12
 
0.5%
819 12
 
0.5%
788 12
 
0.5%
770 12
 
0.5%
725 22
 
1.0%

상수도료20㎥초과-25㎥이하조사가격(1㎥기준)
Real number (ℝ)

Distinct57
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean745.33391
Minimum340
Maximum1271
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.3 KiB
2024-04-29T21:58:41.276914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum340
5-th percentile440
Q1570
median722.5
Q3840
95-th percentile1200
Maximum1271
Range931
Interquartile range (IQR)270

Descriptive statistics

Standard deviation228.75605
Coefficient of variation (CV)0.30691754
Kurtosis-0.39029094
Mean745.33391
Median Absolute Deviation (MAD)142.5
Skewness0.598749
Sum1709796
Variance52329.331
MonotonicityNot monotonic
2024-04-29T21:58:41.464489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
570 150
 
6.5%
1200 133
 
5.8%
750 130
 
5.7%
1010 76
 
3.3%
1181 74
 
3.2%
740 74
 
3.2%
790 74
 
3.2%
1090 74
 
3.2%
666 74
 
3.2%
340 74
 
3.2%
Other values (47) 1361
59.3%
ValueCountFrequency (%)
340 74
3.2%
410 2
 
0.1%
430 20
 
0.9%
440 72
3.1%
450 8
 
0.3%
470 63
2.7%
500 53
2.3%
510 10
 
0.4%
540 12
 
0.5%
545 6
 
0.3%
ValueCountFrequency (%)
1271 13
 
0.6%
1218 11
 
0.5%
1200 133
5.8%
1181 74
3.2%
1176 12
 
0.5%
1134 12
 
0.5%
1092 12
 
0.5%
1090 74
3.2%
1060 12
 
0.5%
1020 12
 
0.5%

상수도료25㎥초과-30㎥이하조사가격(1㎥기준)
Real number (ℝ)

Distinct57
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean758.98779
Minimum340
Maximum1470
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.3 KiB
2024-04-29T21:58:41.665005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum340
5-th percentile440
Q1570
median740
Q3869
95-th percentile1200
Maximum1470
Range1130
Interquartile range (IQR)299

Descriptive statistics

Standard deviation237.04876
Coefficient of variation (CV)0.31232223
Kurtosis-0.399003
Mean758.98779
Median Absolute Deviation (MAD)170
Skewness0.54371065
Sum1741118
Variance56192.116
MonotonicityNot monotonic
2024-04-29T21:58:41.831152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
570 150
 
6.5%
1200 133
 
5.8%
750 130
 
5.7%
790 85
 
3.7%
1010 76
 
3.3%
1181 74
 
3.2%
740 74
 
3.2%
1090 74
 
3.2%
999 74
 
3.2%
340 74
 
3.2%
Other values (47) 1350
58.8%
ValueCountFrequency (%)
340 74
3.2%
410 2
 
0.1%
430 20
 
0.9%
440 72
3.1%
450 8
 
0.3%
470 63
2.7%
500 53
2.3%
510 10
 
0.4%
540 12
 
0.5%
545 6
 
0.3%
ValueCountFrequency (%)
1470 12
 
0.5%
1271 13
 
0.6%
1218 11
 
0.5%
1200 133
5.8%
1181 74
3.2%
1176 12
 
0.5%
1134 12
 
0.5%
1092 12
 
0.5%
1090 74
3.2%
1020 12
 
0.5%

상수도료환산가격(20㎥)
Real number (ℝ)

Distinct68
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11651.415
Minimum5950
Maximum18400
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.3 KiB
2024-04-29T21:58:42.026761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5950
5-th percentile7040
Q19400
median11600
Q313688
95-th percentile18020
Maximum18400
Range12450
Interquartile range (IQR)4288

Descriptive statistics

Standard deviation3021.737
Coefficient of variation (CV)0.25934507
Kurtosis-0.27013554
Mean11651.415
Median Absolute Deviation (MAD)2100
Skewness0.44298782
Sum26728346
Variance9130894.5
MonotonicityNot monotonic
2024-04-29T21:58:42.209013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18020 74
 
3.2%
12440 74
 
3.2%
14070 74
 
3.2%
9200 74
 
3.2%
18400 74
 
3.2%
7040 74
 
3.2%
13688 74
 
3.2%
15050 74
 
3.2%
14110 74
 
3.2%
12740 74
 
3.2%
Other values (58) 1554
67.7%
ValueCountFrequency (%)
5950 62
2.7%
6960 20
 
0.9%
7040 74
3.2%
7350 12
 
0.5%
7720 6
 
0.3%
8070 68
3.0%
8300 11
 
0.5%
8360 42
1.8%
8770 6
 
0.3%
8800 2
 
0.1%
ValueCountFrequency (%)
18400 74
3.2%
18020 74
3.2%
17400 59
2.6%
16600 12
 
0.5%
15082 22
 
1.0%
15050 74
3.2%
15000 6
 
0.3%
14800 16
 
0.7%
14180 11
 
0.5%
14110 74
3.2%

상수도료환산가격(30㎥)
Real number (ℝ)

Distinct70
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19173.024
Minimum9350
Maximum30400
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.3 KiB
2024-04-29T21:58:42.340210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9350
5-th percentile12740
Q115260
median19050
Q322013
95-th percentile29830
Maximum30400
Range21050
Interquartile range (IQR)6753

Descriptive statistics

Standard deviation5132.7818
Coefficient of variation (CV)0.26770852
Kurtosis-0.23598181
Mean19173.024
Median Absolute Deviation (MAD)3260
Skewness0.54437957
Sum43982916
Variance26345449
MonotonicityNot monotonic
2024-04-29T21:58:42.461323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29830 74
 
3.2%
24210 74
 
3.2%
22270 74
 
3.2%
30400 74
 
3.2%
12740 74
 
3.2%
22013 74
 
3.2%
19140 74
 
3.2%
25950 74
 
3.2%
20640 74
 
3.2%
19050 74
 
3.2%
Other values (60) 1554
67.7%
ValueCountFrequency (%)
9350 62
2.7%
10750 12
 
0.5%
11260 20
 
0.9%
12740 74
3.2%
12900 2
 
0.1%
13360 42
1.8%
13670 68
3.0%
13800 72
3.1%
13920 6
 
0.3%
14120 8
 
0.3%
ValueCountFrequency (%)
30400 74
3.2%
29830 74
3.2%
29400 59
2.6%
29250 12
 
0.5%
27510 13
 
0.6%
26360 11
 
0.5%
25950 74
3.2%
25460 12
 
0.5%
24550 12
 
0.5%
24210 74
3.2%

하수도료1㎥이하조사가격(1㎥기준)
Real number (ℝ)

Distinct82
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean448.0109
Minimum135
Maximum850
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.3 KiB
2024-04-29T21:58:42.588975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum135
5-th percentile200
Q1360
median442
Q3540
95-th percentile708
Maximum850
Range715
Interquartile range (IQR)180

Descriptive statistics

Standard deviation144.05942
Coefficient of variation (CV)0.32155338
Kurtosis0.2068998
Mean448.0109
Median Absolute Deviation (MAD)82
Skewness0.1258631
Sum1027737
Variance20753.116
MonotonicityNot monotonic
2024-04-29T21:58:42.729799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
520 176
 
7.7%
360 97
 
4.2%
455 94
 
4.1%
394 74
 
3.2%
588 74
 
3.2%
337 74
 
3.2%
554 72
 
3.1%
140 72
 
3.1%
420 68
 
3.0%
423 68
 
3.0%
Other values (72) 1425
62.1%
ValueCountFrequency (%)
135 2
 
0.1%
140 72
3.1%
152 2
 
0.1%
180 26
 
1.1%
200 62
2.7%
204 3
 
0.1%
210 12
 
0.5%
215 8
 
0.3%
222 12
 
0.5%
239 12
 
0.5%
ValueCountFrequency (%)
850 36
1.6%
770 23
1.0%
760 12
 
0.5%
750 12
 
0.5%
708 35
1.5%
670 12
 
0.5%
650 47
2.0%
640 36
1.6%
638 13
 
0.6%
620 6
 
0.3%

하수도료1㎥초과-10㎥이하조사가격(1㎥기준)
Real number (ℝ)

Distinct82
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean448.01962
Minimum135
Maximum850
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.3 KiB
2024-04-29T21:58:42.879617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum135
5-th percentile200
Q1360
median442
Q3540
95-th percentile708
Maximum850
Range715
Interquartile range (IQR)180

Descriptive statistics

Standard deviation144.04864
Coefficient of variation (CV)0.32152306
Kurtosis0.20737062
Mean448.01962
Median Absolute Deviation (MAD)82
Skewness0.12598756
Sum1027757
Variance20750.011
MonotonicityNot monotonic
2024-04-29T21:58:43.013304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
520 176
 
7.7%
360 97
 
4.2%
455 94
 
4.1%
394 74
 
3.2%
588 74
 
3.2%
337 74
 
3.2%
554 72
 
3.1%
140 72
 
3.1%
420 68
 
3.0%
423 68
 
3.0%
Other values (72) 1425
62.1%
ValueCountFrequency (%)
135 2
 
0.1%
140 72
3.1%
152 2
 
0.1%
180 26
 
1.1%
200 62
2.7%
204 3
 
0.1%
210 12
 
0.5%
215 8
 
0.3%
222 12
 
0.5%
239 12
 
0.5%
ValueCountFrequency (%)
850 36
1.6%
770 23
1.0%
760 12
 
0.5%
750 12
 
0.5%
708 35
1.5%
670 12
 
0.5%
650 47
2.0%
640 36
1.6%
638 13
 
0.6%
620 6
 
0.3%

하수도료10㎥초과-12㎥이하조사가격(1㎥기준)
Real number (ℝ)

Distinct85
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean473.20009
Minimum152
Maximum1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.3 KiB
2024-04-29T21:58:43.148615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum152
5-th percentile210
Q1360
median450
Q3572
95-th percentile770
Maximum1010
Range858
Interquartile range (IQR)212

Descriptive statistics

Standard deviation157.92556
Coefficient of variation (CV)0.3337395
Kurtosis0.25341472
Mean473.20009
Median Absolute Deviation (MAD)104
Skewness0.43503151
Sum1085521
Variance24940.483
MonotonicityNot monotonic
2024-04-29T21:58:43.280526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
520 158
 
6.9%
300 87
 
3.8%
360 86
 
3.7%
683 74
 
3.2%
447 74
 
3.2%
588 74
 
3.2%
337 74
 
3.2%
554 72
 
3.1%
170 72
 
3.1%
423 68
 
3.0%
Other values (75) 1455
63.4%
ValueCountFrequency (%)
152 2
 
0.1%
160 2
 
0.1%
170 72
3.1%
180 26
 
1.1%
204 3
 
0.1%
210 12
 
0.5%
215 8
 
0.3%
222 12
 
0.5%
250 12
 
0.5%
260 5
 
0.2%
ValueCountFrequency (%)
1010 12
 
0.5%
890 12
 
0.5%
850 36
1.6%
830 24
1.0%
780 12
 
0.5%
770 23
1.0%
750 12
 
0.5%
710 12
 
0.5%
708 35
1.5%
690 18
0.8%

하수도료12㎥초과-20㎥이하조사가격(1㎥기준)
Real number (ℝ)

Distinct87
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean470.67524
Minimum152
Maximum1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.3 KiB
2024-04-29T21:58:43.410362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum152
5-th percentile210
Q1337
median480
Q3572
95-th percentile770
Maximum1010
Range858
Interquartile range (IQR)235

Descriptive statistics

Standard deviation162.64797
Coefficient of variation (CV)0.34556305
Kurtosis0.071399219
Mean470.67524
Median Absolute Deviation (MAD)108
Skewness0.34557337
Sum1079729
Variance26454.362
MonotonicityNot monotonic
2024-04-29T21:58:43.533176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
520 158
 
6.9%
300 87
 
3.8%
683 74
 
3.2%
500 74
 
3.2%
588 74
 
3.2%
337 74
 
3.2%
230 74
 
3.2%
554 72
 
3.1%
170 72
 
3.1%
420 68
 
3.0%
Other values (77) 1467
63.9%
ValueCountFrequency (%)
152 2
 
0.1%
157 2
 
0.1%
160 2
 
0.1%
170 72
3.1%
180 26
 
1.1%
204 1
 
< 0.1%
210 12
 
0.5%
215 8
 
0.3%
222 12
 
0.5%
230 74
3.2%
ValueCountFrequency (%)
1010 12
 
0.5%
890 12
 
0.5%
850 36
1.6%
830 24
1.0%
780 12
 
0.5%
770 23
1.0%
750 12
 
0.5%
710 12
 
0.5%
708 35
1.5%
690 18
0.8%

하수도료20㎥초과-25㎥이하조사가격(1㎥기준)
Real number (ℝ)

Distinct90
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean634.76077
Minimum190
Maximum1260
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.3 KiB
2024-04-29T21:58:43.911048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190
5-th percentile311
Q1481
median628
Q3785
95-th percentile980
Maximum1260
Range1070
Interquartile range (IQR)304

Descriptive statistics

Standard deviation206.52299
Coefficient of variation (CV)0.32535564
Kurtosis0.33696428
Mean634.76077
Median Absolute Deviation (MAD)150
Skewness0.34049584
Sum1456141.2
Variance42651.747
MonotonicityNot monotonic
2024-04-29T21:58:44.058711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
710.0 98
 
4.3%
440.0 81
 
3.5%
400.0 77
 
3.4%
557.0 74
 
3.2%
810.0 74
 
3.2%
911.0 74
 
3.2%
785.0 74
 
3.2%
628.0 72
 
3.1%
790.0 72
 
3.1%
200.0 72
 
3.1%
Other values (80) 1526
66.5%
ValueCountFrequency (%)
190.0 2
 
0.1%
200.0 72
3.1%
212.0 2
 
0.1%
221.0 3
 
0.1%
268.0 8
 
0.3%
270.0 26
 
1.1%
311.0 12
 
0.5%
320.0 12
 
0.5%
335.0 12
 
0.5%
373.0 17
 
0.7%
ValueCountFrequency (%)
1260.0 12
 
0.5%
1180.0 24
 
1.0%
1170.0 36
1.6%
1110.0 12
 
0.5%
1030.0 12
 
0.5%
1010.0 12
 
0.5%
980.0 12
 
0.5%
911.0 74
3.2%
899.0 35
1.5%
890.0 12
 
0.5%

하수도료25㎥초과-30㎥이하조사가격(1㎥기준)
Real number (ℝ)

Distinct88
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean636.16173
Minimum190
Maximum1260
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.3 KiB
2024-04-29T21:58:44.196837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190
5-th percentile311
Q1481
median628
Q3785
95-th percentile980
Maximum1260
Range1070
Interquartile range (IQR)304

Descriptive statistics

Standard deviation206.15781
Coefficient of variation (CV)0.3240651
Kurtosis0.35075166
Mean636.16173
Median Absolute Deviation (MAD)150
Skewness0.32350846
Sum1459355
Variance42501.043
MonotonicityNot monotonic
2024-04-29T21:58:44.331666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
710 98
 
4.3%
440 81
 
3.5%
400 77
 
3.4%
911 74
 
3.2%
606 74
 
3.2%
785 74
 
3.2%
810 74
 
3.2%
557 74
 
3.2%
790 72
 
3.1%
628 72
 
3.1%
Other values (78) 1524
66.4%
ValueCountFrequency (%)
190 2
 
0.1%
200 72
3.1%
212 2
 
0.1%
221 3
 
0.1%
268 8
 
0.3%
270 26
 
1.1%
311 12
 
0.5%
320 12
 
0.5%
335 12
 
0.5%
373 17
 
0.7%
ValueCountFrequency (%)
1260 12
 
0.5%
1180 24
 
1.0%
1170 36
1.6%
1110 12
 
0.5%
1030 12
 
0.5%
1010 12
 
0.5%
980 12
 
0.5%
911 74
3.2%
899 35
1.5%
890 12
 
0.5%

하수도료환산가격(20㎥)
Real number (ℝ)

Distinct88
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9191.9895
Minimum2950
Maximum17700
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.3 KiB
2024-04-29T21:58:44.455683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2950
5-th percentile4200
Q16740
median8840
Q311200
95-th percentile14700
Maximum17700
Range14750
Interquartile range (IQR)4460

Descriptive statistics

Standard deviation2988.4774
Coefficient of variation (CV)0.32511758
Kurtosis0.019399509
Mean9191.9895
Median Absolute Deviation (MAD)2140
Skewness0.20364735
Sum21086424
Variance8930997
MonotonicityNot monotonic
2024-04-29T21:58:44.579691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10400 158
 
6.9%
11380 74
 
3.2%
6160 74
 
3.2%
5000 74
 
3.2%
8834 74
 
3.2%
11760 74
 
3.2%
6740 74
 
3.2%
11080 72
 
3.1%
3100 72
 
3.1%
8400 68
 
3.0%
Other values (78) 1480
64.5%
ValueCountFrequency (%)
2950 2
 
0.1%
3040 2
 
0.1%
3100 72
3.1%
3600 26
 
1.1%
3704 2
 
0.1%
4080 1
 
< 0.1%
4200 12
 
0.5%
4300 8
 
0.3%
4440 12
 
0.5%
5000 74
3.2%
ValueCountFrequency (%)
17700 12
 
0.5%
17000 36
1.6%
15600 12
 
0.5%
15400 23
1.0%
15000 12
 
0.5%
14700 24
1.0%
14160 35
1.5%
13700 12
 
0.5%
13000 47
2.0%
12800 12
 
0.5%

하수도료환산가격(30㎥)
Real number (ℝ)

Distinct96
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15549.381
Minimum4850
Maximum30300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.3 KiB
2024-04-29T21:58:44.711623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4850
5-th percentile7400
Q112150
median15500
Q318500
95-th percentile23100
Maximum30300
Range25450
Interquartile range (IQR)6350

Descriptive statistics

Standard deviation4928.9466
Coefficient of variation (CV)0.31698667
Kurtosis0.22407761
Mean15549.381
Median Absolute Deviation (MAD)3190
Skewness0.22532634
Sum35670281
Variance24294515
MonotonicityNot monotonic
2024-04-29T21:58:44.856658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18500 110
 
4.8%
18300 84
 
3.7%
20490 74
 
3.2%
10560 74
 
3.2%
14682 74
 
3.2%
19610 74
 
3.2%
12310 74
 
3.2%
17360 72
 
3.1%
5100 72
 
3.1%
15500 68
 
3.0%
Other values (86) 1518
66.2%
ValueCountFrequency (%)
4850 2
 
0.1%
5100 72
3.1%
5160 2
 
0.1%
5914 2
 
0.1%
6290 1
 
< 0.1%
6300 26
 
1.1%
6980 8
 
0.3%
7400 12
 
0.5%
7550 12
 
0.5%
8710 12
 
0.5%
ValueCountFrequency (%)
30300 12
 
0.5%
28700 36
1.6%
26700 12
 
0.5%
26500 24
1.0%
25300 12
 
0.5%
23500 12
 
0.5%
23100 23
1.0%
22700 12
 
0.5%
22650 35
1.5%
21900 12
 
0.5%

쓰레기봉투료(20ℓ)
Real number (ℝ)

Distinct27
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean576.02877
Minimum400
Maximum900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.3 KiB
2024-04-29T21:58:44.976489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum400
5-th percentile440
Q1500
median560
Q3640
95-th percentile760
Maximum900
Range500
Interquartile range (IQR)140

Descriptive statistics

Standard deviation101.36513
Coefficient of variation (CV)0.17597234
Kurtosis0.10674948
Mean576.02877
Median Absolute Deviation (MAD)60
Skewness0.69381416
Sum1321410
Variance10274.89
MonotonicityNot monotonic
2024-04-29T21:58:45.092716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
500 365
15.9%
560 348
15.2%
600 259
11.3%
550 148
 
6.5%
440 122
 
5.3%
480 119
 
5.2%
660 86
 
3.7%
640 75
 
3.3%
800 74
 
3.2%
460 74
 
3.2%
Other values (17) 624
27.2%
ValueCountFrequency (%)
400 67
 
2.9%
440 122
 
5.3%
460 74
 
3.2%
480 119
 
5.2%
490 11
 
0.5%
500 365
15.9%
510 74
 
3.2%
530 2
 
0.1%
540 49
 
2.1%
550 148
6.5%
ValueCountFrequency (%)
900 23
 
1.0%
800 74
3.2%
780 12
 
0.5%
760 20
 
0.9%
740 74
3.2%
730 12
 
0.5%
720 24
 
1.0%
710 65
2.8%
700 72
3.1%
680 74
3.2%

Sample

집계년월시군명시내버스료(성인/카드)시내버스료(성인/현금)택시료(중형)도시가스료(가정용/취사)소비자요금조사가격(1mj기준)도시가스료(가정용/취사)도매요금조사가격(1mj기준)도시가스료(가정용/취사)소매요금조사가격(1mj기준)도시가스료(가정용/취사)소비자요금환산가격(516mj)도시가스료(가정용/취사)도매요금환산가격(516mj)도시가스료(가정용/취사)소매요금환산가격(516mj)상수도료구경요금(13mm)조사가격(1㎥기준)상수도료1㎥이하조사가격(1㎥기준)상수도료1㎥초과-10㎥이하조사가격(1㎥기준)상수도료10㎥초과-12㎥이하조사가격(1㎥기준)상수도료12㎥초과-20㎥이하조사가격(1㎥기준)상수도료20㎥초과-25㎥이하조사가격(1㎥기준)상수도료25㎥초과-30㎥이하조사가격(1㎥기준)상수도료환산가격(20㎥)상수도료환산가격(30㎥)하수도료1㎥이하조사가격(1㎥기준)하수도료1㎥초과-10㎥이하조사가격(1㎥기준)하수도료10㎥초과-12㎥이하조사가격(1㎥기준)하수도료12㎥초과-20㎥이하조사가격(1㎥기준)하수도료20㎥초과-25㎥이하조사가격(1㎥기준)하수도료25㎥초과-30㎥이하조사가격(1㎥기준)하수도료환산가격(20㎥)하수도료환산가격(30㎥)쓰레기봉투료(20ℓ)
02023-12가평군14501500480021.019.02.010862.010031.0831.00833833969969118111811802029830455455683683911.09111138020490600
12023-12고양시14501500480021.019.02.010862.010031.0831.010905455455455455455451199017440465465465465777.0777930017070710
22023-12과천시14501500480021.019.02.010862.010031.0831.0500450450450450810810950017600520520520520790.07901040018300440
32023-12광명시14501500480021.019.02.010862.010031.0831.0960450450450450600600996015960335335335335418.0418670010880500
42023-12광주시14501500480021.019.02.010862.010031.0831.0810400400400400570570881014510708708708708849.08491416022650560
52023-12구리시14501500480021.019.02.010862.010031.0831.06604804804804807507501026017760598598598598899.08991196020950510
62023-12군포시14501500480021.019.02.010862.010031.0831.08505405405405407407401165019050394394447500564.0606883414682760
72023-12김포시14501500480021.019.02.010862.010031.0831.013405705705705707907901274020640585585585585806.08061170019760720
82023-12남양주시14501500480021.019.02.010862.010031.0831.0710670670670670101010101411024210588588588588785.07851176019610740
92023-12동두천시14501500480021.019.02.010862.010031.0831.01250690690690690109010901505025950492492660660780.07801152019320550
집계년월시군명시내버스료(성인/카드)시내버스료(성인/현금)택시료(중형)도시가스료(가정용/취사)소비자요금조사가격(1mj기준)도시가스료(가정용/취사)도매요금조사가격(1mj기준)도시가스료(가정용/취사)소매요금조사가격(1mj기준)도시가스료(가정용/취사)소비자요금환산가격(516mj)도시가스료(가정용/취사)도매요금환산가격(516mj)도시가스료(가정용/취사)소매요금환산가격(516mj)상수도료구경요금(13mm)조사가격(1㎥기준)상수도료1㎥이하조사가격(1㎥기준)상수도료1㎥초과-10㎥이하조사가격(1㎥기준)상수도료10㎥초과-12㎥이하조사가격(1㎥기준)상수도료12㎥초과-20㎥이하조사가격(1㎥기준)상수도료20㎥초과-25㎥이하조사가격(1㎥기준)상수도료25㎥초과-30㎥이하조사가격(1㎥기준)상수도료환산가격(20㎥)상수도료환산가격(30㎥)하수도료1㎥이하조사가격(1㎥기준)하수도료1㎥초과-10㎥이하조사가격(1㎥기준)하수도료10㎥초과-12㎥이하조사가격(1㎥기준)하수도료12㎥초과-20㎥이하조사가격(1㎥기준)하수도료20㎥초과-25㎥이하조사가격(1㎥기준)하수도료25㎥초과-30㎥이하조사가격(1㎥기준)하수도료환산가격(20㎥)하수도료환산가격(30㎥)쓰레기봉투료(20ℓ)
22842017-11오산시12501300300015.088713.53531.55347785.76926984.2148801.5544490450450450450630630949015790420420420420710.0710840015500480
22852017-11용인시12501300300015.088713.53531.55347785.76926984.2148801.55441200400400400400550550920014700520520520520810.08101040018500660
22862017-11의왕시12501300300015.088713.53531.55347785.76926984.2148801.55445825035035035039159151064219792455455604604757.07571059018160680
22872017-11의정부시12501300300015.088713.53531.55347785.76926984.2148801.55445805405405405407807801138019180440440440440600.0600880014800560
22882017-11이천시12501300300015.088713.53531.55347785.76926984.2148801.5544600890890890890120012001840030400341341341341386.0386682010680490
22892017-11파주시12501300300015.088713.53531.55347785.76926984.2148801.554415704304304304305705701017015870450450450450610.0610900015100800
22902017-11평택시12501300300015.088713.53531.55347785.76926984.2148801.55446005505505505507507501160019100382382382382481.0481764012450500
22912017-11포천시12501300300015.088713.53531.55347785.76926984.2148801.554412525355355355357637631195219582401401401401470.0470802012720560
22922017-11하남시12501300300015.088713.53531.55347785.76926984.2148801.5544440330330330330570570704012740152152152152212.021230405160400
22932017-11화성시12501300300015.088713.53531.55347785.76926984.2148801.554417005555555556666669991368822013370370370370475.0475740012150540