Overview

Dataset statistics

Number of variables5
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory498.0 KiB
Average record size in memory51.0 B

Variable types

Numeric3
Categorical2

Alerts

물가 has 1901 (19.0%) zerosZeros

Reproduction

Analysis started2024-01-09 20:26:27.660320
Analysis finished2024-01-09 20:26:29.098734
Duration1.44 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2016.2901
Minimum2012
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T05:26:29.159712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2012
5-th percentile2012
Q12014
median2016
Q32019
95-th percentile2021
Maximum2022
Range10
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.8969262
Coefficient of variation (CV)0.0014367606
Kurtosis-0.95611951
Mean2016.2901
Median Absolute Deviation (MAD)2
Skewness0.31629469
Sum20162901
Variance8.3921812
MonotonicityNot monotonic
2024-01-10T05:26:29.284423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2015 1227
12.3%
2014 1211
12.1%
2013 1194
11.9%
2016 1107
11.1%
2017 1017
10.2%
2018 873
8.7%
2012 862
8.6%
2019 785
7.8%
2021 672
6.7%
2020 605
6.0%
ValueCountFrequency (%)
2012 862
8.6%
2013 1194
11.9%
2014 1211
12.1%
2015 1227
12.3%
2016 1107
11.1%
2017 1017
10.2%
2018 873
8.7%
2019 785
7.8%
2020 605
6.0%
2021 672
6.7%
ValueCountFrequency (%)
2022 447
 
4.5%
2021 672
6.7%
2020 605
6.0%
2019 785
7.8%
2018 873
8.7%
2017 1017
10.2%
2016 1107
11.1%
2015 1227
12.3%
2014 1211
12.1%
2013 1194
11.9%

월
Real number (ℝ)

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.574
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T05:26:29.405064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median7
Q39
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.4003353
Coefficient of variation (CV)0.51723993
Kurtosis-1.1787934
Mean6.574
Median Absolute Deviation (MAD)3
Skewness-0.040071782
Sum65740
Variance11.56228
MonotonicityNot monotonic
2024-01-10T05:26:29.520069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
6 913
9.1%
9 889
8.9%
5 887
8.9%
8 870
8.7%
10 867
8.7%
11 832
8.3%
7 823
8.2%
2 810
8.1%
12 793
7.9%
1 781
7.8%
Other values (2) 1535
15.3%
ValueCountFrequency (%)
1 781
7.8%
2 810
8.1%
3 774
7.7%
4 761
7.6%
5 887
8.9%
6 913
9.1%
7 823
8.2%
8 870
8.7%
9 889
8.9%
10 867
8.7%
ValueCountFrequency (%)
12 793
7.9%
11 832
8.3%
10 867
8.7%
9 889
8.9%
8 870
8.7%
7 823
8.2%
6 913
9.1%
5 887
8.9%
4 761
7.6%
3 774
7.7%

물품
Categorical

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
납입금(고등학교)
1031 
시내버스료
1022 
공연예술관람료
1012 
정화조청소료
1011 
도시가스
1009 
Other values (5)
4915 

Length

Max length9
Median length6
Mean length5.4159
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row하수도료
2nd row택시료
3rd row택시료
4th row하수도료
5th row하수도료

Common Values

ValueCountFrequency (%)
납입금(고등학교) 1031
10.3%
시내버스료 1022
10.2%
공연예술관람료 1012
10.1%
정화조청소료 1011
10.1%
도시가스 1009
10.1%
상수도료 999
10.0%
택시료 993
9.9%
쓰레기봉투 980
9.8%
문화시설입장료 979
9.8%
하수도료 964
9.6%

Length

2024-01-10T05:26:29.657332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:26:29.792373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
납입금(고등학교 1031
10.3%
시내버스료 1022
10.2%
공연예술관람료 1012
10.1%
정화조청소료 1011
10.1%
도시가스 1009
10.1%
상수도료 999
10.0%
택시료 993
9.9%
쓰레기봉투 980
9.8%
문화시설입장료 979
9.8%
하수도료 964
9.6%

지역명
Categorical

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
계룡시
899 
예산군
893 
공주시
886 
천안시
870 
홍성군
868 
Other values (11)
5584 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row계룡시
2nd row아산시
3rd row논산시
4th row금산군
5th row계룡시

Common Values

ValueCountFrequency (%)
계룡시 899
9.0%
예산군 893
8.9%
공주시 886
8.9%
천안시 870
8.7%
홍성군 868
8.7%
서천군 847
 
8.5%
당진시 703
 
7.0%
보령시 669
 
6.7%
부여군 655
 
6.6%
청양군 544
 
5.4%
Other values (6) 2166
21.7%

Length

2024-01-10T05:26:29.971551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
계룡시 899
9.0%
예산군 893
8.9%
공주시 886
8.9%
천안시 870
8.7%
홍성군 868
8.7%
서천군 847
 
8.5%
당진시 703
 
7.0%
보령시 669
 
6.7%
부여군 655
 
6.6%
청양군 544
 
5.4%
Other values (6) 2166
21.7%

물가
Real number (ℝ)

ZEROS 

Distinct531
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27130.14
Minimum0
Maximum311440
Zeros1901
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T05:26:30.114448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1400
median2800
Q314000
95-th percentile247900
Maximum311440
Range311440
Interquartile range (IQR)13600

Descriptive statistics

Standard deviation72153.781
Coefficient of variation (CV)2.6595433
Kurtosis8.4211468
Mean27130.14
Median Absolute Deviation (MAD)2800
Skewness3.1667186
Sum2.713014 × 108
Variance5.2061681 × 109
MonotonicityNot monotonic
2024-01-10T05:26:30.289256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1901
 
19.0%
2800 565
 
5.7%
1300 343
 
3.4%
1400 286
 
2.9%
13000 270
 
2.7%
400 219
 
2.2%
3300 218
 
2.2%
5000 175
 
1.8%
1200 152
 
1.5%
300 140
 
1.4%
Other values (521) 5731
57.3%
ValueCountFrequency (%)
0 1901
19.0%
8 1
 
< 0.1%
14 7
 
0.1%
15 10
 
0.1%
16 5
 
0.1%
22 1
 
< 0.1%
32 1
 
< 0.1%
33 1
 
< 0.1%
48 17
 
0.2%
118 5
 
0.1%
ValueCountFrequency (%)
311440 9
 
0.1%
311420 1
 
< 0.1%
305400 40
 
0.4%
303900 60
0.6%
303600 39
 
0.4%
302600 1
 
< 0.1%
300900 7
 
0.1%
300000 111
1.1%
299800 31
 
0.3%
298000 9
 
0.1%

Interactions

2024-01-10T05:26:28.652997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:26:28.025858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:26:28.329141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:26:28.758201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:26:28.107463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:26:28.434763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:26:28.852831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:26:28.191902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:26:28.559894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:26:30.384026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도월물품지역명물가
연도1.0000.0930.0000.4010.152
월0.0931.0000.0000.0430.000
물품0.0000.0001.0000.0000.734
지역명0.4010.0430.0001.0000.325
물가0.1520.0000.7340.3251.000
2024-01-10T05:26:30.475068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역명물품
지역명1.0000.000
물품0.0001.000
2024-01-10T05:26:30.556854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도월물가물품지역명
연도1.000-0.112-0.0480.0000.158
월-0.1121.0000.0080.0000.017
물가-0.0480.0081.0000.3070.133
물품0.0000.0000.3071.0000.000
지역명0.1580.0170.1330.0001.000

Missing values

2024-01-10T05:26:28.966764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:26:29.052694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연도월물품지역명물가
5724201410하수도료계룡시4950
738920131택시료아산시2300
437620166택시료논산시11200
583120164하수도료금산군3800
481420205하수도료계룡시7980
641820139택시료아산시2800
68620181납입금(고등학교)공주시247900
1104020192쓰레기봉투서천군300
1106320202쓰레기봉투서천군300
892720129시내버스료금산군1100
연도월물품지역명물가
5191202012하수도료예산군6000
798820185시내버스료공주시1400
75201212납입금(고등학교)보령시303900
913320143문화시설입장료논산시1000
165120201도시가스홍성군24840
7231201212택시료금산군2500
1387820222납입금(고등학교)당진시0
69020185납입금(고등학교)공주시247900
429220127정화조청소료아산시11395
989320178쓰레기봉투당진시510