Overview

Dataset statistics

Number of variables26
Number of observations36
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.3 KiB
Average record size in memory236.7 B

Variable types

Text1
Numeric11
Categorical14

Dataset

Description부산광역시남구이륜차등록현황_20230321
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15023019

Alerts

금월 전입 경형 has constant value ""Constant
금월 전입 대형 has constant value ""Constant
금월 전출 경형 has constant value ""Constant
금월 전출 소형 has constant value ""Constant
금월 신규 소형 is highly imbalanced (81.7%)Imbalance
금월 전입 계 is highly imbalanced (62.6%)Imbalance
금월 전입 소형 is highly imbalanced (81.7%)Imbalance
금월 전입 중형 is highly imbalanced (62.6%)Imbalance
금월 전출 계 is highly imbalanced (69.1%)Imbalance
금월 전출 중형 is highly imbalanced (77.0%)Imbalance
금월 전출 대형 is highly imbalanced (81.7%)Imbalance
금월 폐지 소형 is highly imbalanced (58.6%)Imbalance
행정동명 용도_규모 has unique valuesUnique
금월 신규 계 has 17 (47.2%) zerosZeros
금월 신규 중형 has 19 (52.8%) zerosZeros
금월 신규 대형 has 19 (52.8%) zerosZeros
금월 폐지 계 has 19 (52.8%) zerosZeros
금월 폐지 중형 has 19 (52.8%) zerosZeros
금월 폐지 대형 has 20 (55.6%) zerosZeros
금월 누적 계 has 11 (30.6%) zerosZeros
금월 누적 경형 has 17 (47.2%) zerosZeros
금월 누적 소형 has 16 (44.4%) zerosZeros
금월 누적 중형 has 13 (36.1%) zerosZeros
금월 누적 대형 has 19 (52.8%) zerosZeros

Reproduction

Analysis started2023-12-10 16:17:53.019586
Analysis finished2023-12-10 16:17:53.277254
Duration0.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정동명 용도_규모
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-11T01:17:53.408786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7.5
Mean length7.3888889
Min length6

Characters and Unicode

Total characters266
Distinct characters22
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)100.0%

Sample

1st row감만1동 관용
2nd row감만1동 자가용
3rd row감만2동 관용
4th row감만2동 자가용
5th row대연1동 관용
ValueCountFrequency (%)
자가용 18
25.0%
관용 18
25.0%
감만1동 2
 
2.8%
문현3동 2
 
2.8%
용호4동 2
 
2.8%
용호3동 2
 
2.8%
우암동 2
 
2.8%
용호1동 2
 
2.8%
용당동 2
 
2.8%
문현4동 2
 
2.8%
Other values (10) 20
27.8%
2023-12-11T01:17:53.787656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
용 46
17.3%
동 36
13.5%
36
13.5%
관 18
 
6.8%
자 18
 
6.8%
가 18
 
6.8%
1 10
 
3.8%
대 10
 
3.8%
연 10
 
3.8%
호 8
 
3.0%
Other values (12) 56
21.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 198
74.4%
Space Separator 36
 
13.5%
Decimal Number 32
 
12.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 46
23.2%
동 36
18.2%
관 18
 
9.1%
자 18
 
9.1%
가 18
 
9.1%
대 10
 
5.1%
연 10
 
5.1%
호 8
 
4.0%
문 8
 
4.0%
현 8
 
4.0%
Other values (5) 18
 
9.1%
Decimal Number
ValueCountFrequency (%)
1 10
31.2%
4 6
18.8%
2 6
18.8%
3 6
18.8%
6 2
 
6.2%
5 2
 
6.2%
Space Separator
ValueCountFrequency (%)
36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 198
74.4%
Common 68
 
25.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 46
23.2%
동 36
18.2%
관 18
 
9.1%
자 18
 
9.1%
가 18
 
9.1%
대 10
 
5.1%
연 10
 
5.1%
호 8
 
4.0%
문 8
 
4.0%
현 8
 
4.0%
Other values (5) 18
 
9.1%
Common
ValueCountFrequency (%)
36
52.9%
1 10
 
14.7%
4 6
 
8.8%
2 6
 
8.8%
3 6
 
8.8%
6 2
 
2.9%
5 2
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 198
74.4%
ASCII 68
 
25.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
용 46
23.2%
동 36
18.2%
관 18
 
9.1%
자 18
 
9.1%
가 18
 
9.1%
대 10
 
5.1%
연 10
 
5.1%
호 8
 
4.0%
문 8
 
4.0%
현 8
 
4.0%
Other values (5) 18
 
9.1%
ASCII
ValueCountFrequency (%)
36
52.9%
1 10
 
14.7%
4 6
 
8.8%
2 6
 
8.8%
3 6
 
8.8%
6 2
 
2.9%
5 2
 
2.9%

금월 신규 계
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)41.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.1388889
Minimum0
Maximum29
Zeros17
Zeros (%)47.2%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T01:17:53.973666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q310.25
95-th percentile21.5
Maximum29
Range29
Interquartile range (IQR)10.25

Descriptive statistics

Standard deviation8.0857998
Coefficient of variation (CV)1.3171439
Kurtosis1.0410434
Mean6.1388889
Median Absolute Deviation (MAD)1
Skewness1.315001
Sum221
Variance65.380159
MonotonicityNot monotonic
2023-12-11T01:17:54.133339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 17
47.2%
5 2
 
5.6%
20 2
 
5.6%
1 2
 
5.6%
8 2
 
5.6%
14 2
 
5.6%
12 1
 
2.8%
29 1
 
2.8%
11 1
 
2.8%
10 1
 
2.8%
Other values (5) 5
 
13.9%
ValueCountFrequency (%)
0 17
47.2%
1 2
 
5.6%
5 2
 
5.6%
6 1
 
2.8%
7 1
 
2.8%
8 2
 
5.6%
9 1
 
2.8%
10 1
 
2.8%
11 1
 
2.8%
12 1
 
2.8%
ValueCountFrequency (%)
29 1
2.8%
26 1
2.8%
20 2
5.6%
15 1
2.8%
14 2
5.6%
12 1
2.8%
11 1
2.8%
10 1
2.8%
9 1
2.8%
8 2
5.6%

금월 신규 경형
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
31 
1
5 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 31
86.1%
1 5
 
13.9%

Length

2023-12-11T01:17:54.276218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:17:54.377435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
86.1%
1 5
 
13.9%

금월 신규 소형
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
35 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 35
97.2%
1 1
 
2.8%

Length

2023-12-11T01:17:54.483427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:17:54.582810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
97.2%
1 1
 
2.8%

금월 신규 중형
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)27.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2222222
Minimum0
Maximum19
Zeros19
Zeros (%)52.8%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T01:17:54.669545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37
95-th percentile18.25
Maximum19
Range19
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.9575216
Coefficient of variation (CV)1.410992
Kurtosis1.0360043
Mean4.2222222
Median Absolute Deviation (MAD)0
Skewness1.4174928
Sum152
Variance35.492063
MonotonicityNot monotonic
2023-12-11T01:17:54.789700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 19
52.8%
5 4
 
11.1%
9 2
 
5.6%
3 2
 
5.6%
19 2
 
5.6%
7 2
 
5.6%
10 2
 
5.6%
18 1
 
2.8%
16 1
 
2.8%
2 1
 
2.8%
ValueCountFrequency (%)
0 19
52.8%
2 1
 
2.8%
3 2
 
5.6%
5 4
 
11.1%
7 2
 
5.6%
9 2
 
5.6%
10 2
 
5.6%
16 1
 
2.8%
18 1
 
2.8%
19 2
 
5.6%
ValueCountFrequency (%)
19 2
 
5.6%
18 1
 
2.8%
16 1
 
2.8%
10 2
 
5.6%
9 2
 
5.6%
7 2
 
5.6%
5 4
 
11.1%
3 2
 
5.6%
2 1
 
2.8%
0 19
52.8%

금월 신규 대형
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.75
Minimum0
Maximum10
Zeros19
Zeros (%)52.8%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T01:17:54.949565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile7
Maximum10
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.6551836
Coefficient of variation (CV)1.5172478
Kurtosis3.5278209
Mean1.75
Median Absolute Deviation (MAD)0
Skewness1.8950951
Sum63
Variance7.05
MonotonicityNot monotonic
2023-12-11T01:17:55.070104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 19
52.8%
1 4
 
11.1%
3 4
 
11.1%
4 3
 
8.3%
2 2
 
5.6%
10 2
 
5.6%
6 1
 
2.8%
5 1
 
2.8%
ValueCountFrequency (%)
0 19
52.8%
1 4
 
11.1%
2 2
 
5.6%
3 4
 
11.1%
4 3
 
8.3%
5 1
 
2.8%
6 1
 
2.8%
10 2
 
5.6%
ValueCountFrequency (%)
10 2
 
5.6%
6 1
 
2.8%
5 1
 
2.8%
4 3
 
8.3%
3 4
 
11.1%
2 2
 
5.6%
1 4
 
11.1%
0 19
52.8%

금월 전입 계
Categorical

IMBALANCE 

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
32 
1
 
3
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 32
88.9%
1 3
 
8.3%
3 1
 
2.8%

Length

2023-12-11T01:17:55.212345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:17:55.411720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 32
88.9%
1 3
 
8.3%
3 1
 
2.8%

금월 전입 경형
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
36 

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 36
100.0%

Length

2023-12-11T01:17:55.612877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:17:55.738066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
100.0%

금월 전입 소형
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
35 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 35
97.2%
1 1
 
2.8%

Length

2023-12-11T01:17:55.858124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:17:55.992415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
97.2%
1 1
 
2.8%

금월 전입 중형
Categorical

IMBALANCE 

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
32 
1
 
3
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 32
88.9%
1 3
 
8.3%
2 1
 
2.8%

Length

2023-12-11T01:17:56.143224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:17:56.292876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 32
88.9%
1 3
 
8.3%
2 1
 
2.8%

금월 전입 대형
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
36 

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 36
100.0%

Length

2023-12-11T01:17:56.453346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:17:56.605460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
100.0%

금월 전출 계
Categorical

IMBALANCE 

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
33 
1
 
2
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 33
91.7%
1 2
 
5.6%
2 1
 
2.8%

Length

2023-12-11T01:17:56.718493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:17:56.851712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 33
91.7%
1 2
 
5.6%
2 1
 
2.8%

금월 전출 경형
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
36 

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 36
100.0%

Length

2023-12-11T01:17:57.036646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:17:57.178465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
100.0%

금월 전출 소형
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
36 

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 36
100.0%

Length

2023-12-11T01:17:57.332278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:17:57.537440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
100.0%

금월 전출 중형
Categorical

IMBALANCE 

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
34 
2
 
1
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)5.6%

Sample

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

Common Values

ValueCountFrequency (%)
0 34
94.4%
2 1
 
2.8%
1 1
 
2.8%

Length

2023-12-11T01:17:57.697173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:17:57.863708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 34
94.4%
2 1
 
2.8%
1 1
 
2.8%

금월 전출 대형
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
35 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 35
97.2%
1 1
 
2.8%

Length

2023-12-11T01:17:58.034856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:17:58.176216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
97.2%
1 1
 
2.8%

금월 폐지 계
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.6944444
Minimum0
Maximum31
Zeros19
Zeros (%)52.8%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T01:17:58.315083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q39.25
95-th percentile18.25
Maximum31
Range31
Interquartile range (IQR)9.25

Descriptive statistics

Standard deviation7.815075
Coefficient of variation (CV)1.3724034
Kurtosis3.0992679
Mean5.6944444
Median Absolute Deviation (MAD)0
Skewness1.6907101
Sum205
Variance61.075397
MonotonicityNot monotonic
2023-12-11T01:17:58.465003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 19
52.8%
7 3
 
8.3%
8 2
 
5.6%
15 2
 
5.6%
6 2
 
5.6%
11 2
 
5.6%
10 1
 
2.8%
14 1
 
2.8%
28 1
 
2.8%
9 1
 
2.8%
Other values (2) 2
 
5.6%
ValueCountFrequency (%)
0 19
52.8%
6 2
 
5.6%
7 3
 
8.3%
8 2
 
5.6%
9 1
 
2.8%
10 1
 
2.8%
11 2
 
5.6%
12 1
 
2.8%
14 1
 
2.8%
15 2
 
5.6%
ValueCountFrequency (%)
31 1
 
2.8%
28 1
 
2.8%
15 2
5.6%
14 1
 
2.8%
12 1
 
2.8%
11 2
5.6%
10 1
 
2.8%
9 1
 
2.8%
8 2
5.6%
7 3
8.3%

금월 폐지 경형
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
29 
1
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 29
80.6%
1 7
 
19.4%

Length

2023-12-11T01:17:58.602958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:17:58.717869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
80.6%
1 7
 
19.4%

금월 폐지 소형
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
33 
1
 
3

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 33
91.7%
1 3
 
8.3%

Length

2023-12-11T01:17:58.857044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:17:58.994120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 33
91.7%
1 3
 
8.3%

금월 폐지 중형
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)27.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9166667
Minimum0
Maximum21
Zeros19
Zeros (%)52.8%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T01:17:59.119210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile13
Maximum21
Range21
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.3898052
Coefficient of variation (CV)1.3761205
Kurtosis2.685807
Mean3.9166667
Median Absolute Deviation (MAD)0
Skewness1.6297919
Sum141
Variance29.05
MonotonicityNot monotonic
2023-12-11T01:17:59.262996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 19
52.8%
5 4
 
11.1%
4 3
 
8.3%
10 2
 
5.6%
9 2
 
5.6%
6 2
 
5.6%
11 1
 
2.8%
19 1
 
2.8%
21 1
 
2.8%
8 1
 
2.8%
ValueCountFrequency (%)
0 19
52.8%
4 3
 
8.3%
5 4
 
11.1%
6 2
 
5.6%
8 1
 
2.8%
9 2
 
5.6%
10 2
 
5.6%
11 1
 
2.8%
19 1
 
2.8%
21 1
 
2.8%
ValueCountFrequency (%)
21 1
 
2.8%
19 1
 
2.8%
11 1
 
2.8%
10 2
 
5.6%
9 2
 
5.6%
8 1
 
2.8%
6 2
 
5.6%
5 4
 
11.1%
4 3
 
8.3%
0 19
52.8%

금월 폐지 대형
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5
Minimum0
Maximum9
Zeros20
Zeros (%)55.6%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T01:17:59.391486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.25
95-th percentile6
Maximum9
Range9
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation2.3603874
Coefficient of variation (CV)1.5735916
Kurtosis4.1062178
Mean1.5
Median Absolute Deviation (MAD)0
Skewness2.0220624
Sum54
Variance5.5714286
MonotonicityNot monotonic
2023-12-11T01:17:59.508156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 20
55.6%
3 5
 
13.9%
2 4
 
11.1%
1 3
 
8.3%
9 2
 
5.6%
5 2
 
5.6%
ValueCountFrequency (%)
0 20
55.6%
1 3
 
8.3%
2 4
 
11.1%
3 5
 
13.9%
5 2
 
5.6%
9 2
 
5.6%
ValueCountFrequency (%)
9 2
 
5.6%
5 2
 
5.6%
3 5
 
13.9%
2 4
 
11.1%
1 3
 
8.3%
0 20
55.6%

금월 누적 계
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean301.66667
Minimum0
Maximum1496
Zeros11
Zeros (%)30.6%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T01:17:59.633315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median13
Q3553.75
95-th percentile789.25
Maximum1496
Range1496
Interquartile range (IQR)553.75

Descriptive statistics

Standard deviation368.59602
Coefficient of variation (CV)1.2218653
Kurtosis1.2648206
Mean301.66667
Median Absolute Deviation (MAD)13
Skewness1.1171636
Sum10860
Variance135863.03
MonotonicityNot monotonic
2023-12-11T01:18:00.096448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 11
30.6%
1 5
13.9%
443 2
 
5.6%
470 1
 
2.8%
514 1
 
2.8%
6 1
 
2.8%
414 1
 
2.8%
711 1
 
2.8%
777 1
 
2.8%
1496 1
 
2.8%
Other values (11) 11
30.6%
ValueCountFrequency (%)
0 11
30.6%
1 5
13.9%
6 1
 
2.8%
7 1
 
2.8%
19 1
 
2.8%
367 1
 
2.8%
378 1
 
2.8%
414 1
 
2.8%
443 2
 
5.6%
470 1
 
2.8%
ValueCountFrequency (%)
1496 1
2.8%
826 1
2.8%
777 1
2.8%
728 1
2.8%
726 1
2.8%
711 1
2.8%
706 1
2.8%
663 1
2.8%
634 1
2.8%
527 1
2.8%

금월 누적 경형
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)47.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.75
Minimum0
Maximum65
Zeros17
Zeros (%)47.2%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T01:18:00.263747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.5
Q320.5
95-th percentile32.75
Maximum65
Range65
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation15.109836
Coefficient of variation (CV)1.2859435
Kurtosis2.7728296
Mean11.75
Median Absolute Deviation (MAD)2.5
Skewness1.4823015
Sum423
Variance228.30714
MonotonicityNot monotonic
2023-12-11T01:18:00.447934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 17
47.2%
32 2
 
5.6%
16 2
 
5.6%
22 2
 
5.6%
14 1
 
2.8%
17 1
 
2.8%
27 1
 
2.8%
65 1
 
2.8%
13 1
 
2.8%
20 1
 
2.8%
Other values (7) 7
19.4%
ValueCountFrequency (%)
0 17
47.2%
1 1
 
2.8%
4 1
 
2.8%
9 1
 
2.8%
13 1
 
2.8%
14 1
 
2.8%
16 2
 
5.6%
17 1
 
2.8%
19 1
 
2.8%
20 1
 
2.8%
ValueCountFrequency (%)
65 1
2.8%
35 1
2.8%
32 2
5.6%
30 1
2.8%
29 1
2.8%
27 1
2.8%
22 2
5.6%
20 1
2.8%
19 1
2.8%
17 1
2.8%

금월 누적 소형
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.166667
Minimum0
Maximum315
Zeros16
Zeros (%)44.4%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T01:18:00.613350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5.5
Q3126
95-th percentile190.5
Maximum315
Range315
Interquartile range (IQR)126

Descriptive statistics

Standard deviation81.329489
Coefficient of variation (CV)1.2108609
Kurtosis0.63772073
Mean67.166667
Median Absolute Deviation (MAD)5.5
Skewness1.0138261
Sum2418
Variance6614.4857
MonotonicityNot monotonic
2023-12-11T01:18:00.772325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 16
44.4%
145 1
 
2.8%
125 1
 
2.8%
2 1
 
2.8%
77 1
 
2.8%
160 1
 
2.8%
1 1
 
2.8%
149 1
 
2.8%
315 1
 
2.8%
78 1
 
2.8%
Other values (11) 11
30.6%
ValueCountFrequency (%)
0 16
44.4%
1 1
 
2.8%
2 1
 
2.8%
9 1
 
2.8%
77 1
 
2.8%
78 1
 
2.8%
89 1
 
2.8%
102 1
 
2.8%
107 1
 
2.8%
112 1
 
2.8%
ValueCountFrequency (%)
315 1
2.8%
198 1
2.8%
188 1
2.8%
183 1
2.8%
160 1
2.8%
149 1
2.8%
145 1
2.8%
133 1
2.8%
129 1
2.8%
125 1
2.8%

금월 누적 중형
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)61.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.55556
Minimum0
Maximum920
Zeros13
Zeros (%)36.1%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T01:18:00.940454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6.5
Q3370.25
95-th percentile537.25
Maximum920
Range920
Interquartile range (IQR)370.25

Descriptive statistics

Standard deviation236.15714
Coefficient of variation (CV)1.2138288
Kurtosis0.66890338
Mean194.55556
Median Absolute Deviation (MAD)6.5
Skewness1.012763
Sum7004
Variance55770.197
MonotonicityNot monotonic
2023-12-11T01:18:01.110337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 13
36.1%
1 3
 
8.3%
299 1
 
2.8%
338 1
 
2.8%
4 1
 
2.8%
281 1
 
2.8%
480 1
 
2.8%
529 1
 
2.8%
920 1
 
2.8%
242 1
 
2.8%
Other values (12) 12
33.3%
ValueCountFrequency (%)
0 13
36.1%
1 3
 
8.3%
4 1
 
2.8%
6 1
 
2.8%
7 1
 
2.8%
241 1
 
2.8%
242 1
 
2.8%
256 1
 
2.8%
275 1
 
2.8%
281 1
 
2.8%
ValueCountFrequency (%)
920 1
2.8%
562 1
2.8%
529 1
2.8%
480 1
2.8%
478 1
2.8%
446 1
2.8%
439 1
2.8%
425 1
2.8%
419 1
2.8%
354 1
2.8%

금월 누적 대형
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.194444
Minimum0
Maximum196
Zeros19
Zeros (%)52.8%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T01:18:01.275457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q344
95-th percentile79
Maximum196
Range196
Interquartile range (IQR)44

Descriptive statistics

Standard deviation40.30868
Coefficient of variation (CV)1.4296675
Kurtosis7.5461744
Mean28.194444
Median Absolute Deviation (MAD)0
Skewness2.2897746
Sum1015
Variance1624.7897
MonotonicityNot monotonic
2023-12-11T01:18:01.452873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 19
52.8%
59 1
 
2.8%
34 1
 
2.8%
40 1
 
2.8%
49 1
 
2.8%
72 1
 
2.8%
196 1
 
2.8%
42 1
 
2.8%
43 1
 
2.8%
35 1
 
2.8%
Other values (8) 8
22.2%
ValueCountFrequency (%)
0 19
52.8%
28 1
 
2.8%
34 1
 
2.8%
35 1
 
2.8%
38 1
 
2.8%
40 1
 
2.8%
41 1
 
2.8%
42 1
 
2.8%
43 1
 
2.8%
47 1
 
2.8%
ValueCountFrequency (%)
196 1
2.8%
100 1
2.8%
72 1
2.8%
71 1
2.8%
65 1
2.8%
59 1
2.8%
55 1
2.8%
49 1
2.8%
47 1
2.8%
43 1
2.8%

Sample

행정동명 용도_규모금월 신규 계금월 신규 경형금월 신규 소형금월 신규 중형금월 신규 대형금월 전입 계금월 전입 경형금월 전입 소형금월 전입 중형금월 전입 대형금월 전출 계금월 전출 경형금월 전출 소형금월 전출 중형금월 전출 대형금월 폐지 계금월 폐지 경형금월 폐지 소형금월 폐지 중형금월 폐지 대형금월 누적 계금월 누적 경형금월 누적 소형금월 누적 중형금월 누적 대형
0감만1동 관용0000000000000000000010010
1감만1동 자가용121092000000000010001006342914541941
2감만2동 관용0000000000000000000000000
3감만2동 자가용5003200000000008105236798924128
4대연1동 관용0000000000000000000000000
5대연1동 자가용2000191301201000114001137263218344665
6대연3동 관용11000000000000000000194960
7대연3동 자가용290118100000000000280019982635129562100
8대연4동 관용0000000000000000000011000
9대연4동 자가용2000191000000000015001055271910735447
행정동명 용도_규모금월 신규 계금월 신규 경형금월 신규 소형금월 신규 중형금월 신규 대형금월 전입 계금월 전입 경형금월 전입 소형금월 전입 중형금월 전입 대형금월 전출 계금월 전출 경형금월 전출 소형금월 전출 중형금월 전출 대형금월 폐지 계금월 폐지 경형금월 폐지 소형금월 폐지 중형금월 폐지 대형금월 누적 계금월 누적 경형금월 누적 소형금월 누적 중형금월 누적 대형
26용호2동 관용0000000000000000000010010
27용호2동 자가용140010400000000001111637772714952972
28용호3동 관용0000000000000000000010100
29용호3동 자가용14101031001000000700617112216048049
30용호4동 관용0000000000000000000000000
31용호4동 자가용50050000000000060051414167728140
32우암1동 관용0000000000000000000000000
33우암1동 자가용0000000000000000000060240
34우암동 관용0000000000000000000000000
35우암동 자가용6002400000100101100835141712533834