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

Description부산광역시 남구 이륜차등록현황에 대한 데이터로 남구의 행정동별 이륜차 신규,전입, 전출, 폐지현황 등의 항목을 제공합니다
Author부산광역시 남구
URLhttps://www.data.go.kr/data/15023019/fileData.do

Alerts

금월 전입 경형 has constant value ""Constant
금월 전입 소형 has constant value ""Constant
금월 전출 경형 has constant value ""Constant
금월 전출 소형 has constant value ""Constant
금월 신규 경형 is highly imbalanced (81.7%)Imbalance
금월 신규 소형 is highly imbalanced (57.0%)Imbalance
금월 전입 중형 is highly imbalanced (69.0%)Imbalance
금월 전입 대형 is highly imbalanced (58.6%)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 경형 is highly imbalanced (60.4%)Imbalance
행정동명 용도_규모 has unique valuesUnique
금월 신규 계 has 19 (52.8%) zerosZeros
금월 신규 중형 has 19 (52.8%) zerosZeros
금월 신규 대형 has 21 (58.3%) zerosZeros
금월 폐지 계 has 18 (50.0%) zerosZeros
금월 폐지 중형 has 19 (52.8%) zerosZeros
금월 폐지 대형 has 19 (52.8%) zerosZeros
금월 누적 계 has 13 (36.1%) zerosZeros
금월 누적 경형 has 17 (47.2%) zerosZeros
금월 누적 소형 has 17 (47.2%) zerosZeros
금월 누적 중형 has 15 (41.7%) zerosZeros
금월 누적 대형 has 18 (50.0%) zerosZeros

Reproduction

Analysis started2024-03-23 04:49:34.954319
Analysis finished2024-03-23 04:49:35.470786
Duration0.52 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
2024-03-23T04:49:35.763395image/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%
2024-03-23T04:49:37.245017image/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 

Distinct10
Distinct (%)27.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.75
Minimum0
Maximum18
Zeros19
Zeros (%)52.8%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-03-23T04:49:37.808566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36.25
95-th percentile14
Maximum18
Range18
Interquartile range (IQR)6.25

Descriptive statistics

Standard deviation5.089906
Coefficient of variation (CV)1.3573083
Kurtosis0.71335865
Mean3.75
Median Absolute Deviation (MAD)0
Skewness1.2828158
Sum135
Variance25.907143
MonotonicityNot monotonic
2024-03-23T04:49:38.296442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 19
52.8%
3 4
 
11.1%
5 3
 
8.3%
14 2
 
5.6%
7 2
 
5.6%
9 2
 
5.6%
13 1
 
2.8%
18 1
 
2.8%
6 1
 
2.8%
11 1
 
2.8%
ValueCountFrequency (%)
0 19
52.8%
3 4
 
11.1%
5 3
 
8.3%
6 1
 
2.8%
7 2
 
5.6%
9 2
 
5.6%
11 1
 
2.8%
13 1
 
2.8%
14 2
 
5.6%
18 1
 
2.8%
ValueCountFrequency (%)
18 1
 
2.8%
14 2
 
5.6%
13 1
 
2.8%
11 1
 
2.8%
9 2
 
5.6%
7 2
 
5.6%
6 1
 
2.8%
5 3
 
8.3%
3 4
 
11.1%
0 19
52.8%

금월 신규 경형
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

2024-03-23T04:49:38.850274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T04:49:39.341820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
97.2%
1 1
 
2.8%

금월 신규 소형
Categorical

IMBALANCE 

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
31 
1
4 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

1st row0
2nd row0
3rd row0
4th row2
5th row0

Common Values

ValueCountFrequency (%)
0 31
86.1%
1 4
 
11.1%
2 1
 
2.8%

Length

2024-03-23T04:49:39.736742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T04:49:40.184066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
86.1%
1 4
 
11.1%
2 1
 
2.8%

금월 신규 중형
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)27.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3611111
Minimum0
Maximum10
Zeros19
Zeros (%)52.8%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-03-23T04:49:40.617416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34.25
95-th percentile8.25
Maximum10
Range10
Interquartile range (IQR)4.25

Descriptive statistics

Standard deviation3.1089987
Coefficient of variation (CV)1.3167524
Kurtosis-0.052009595
Mean2.3611111
Median Absolute Deviation (MAD)0
Skewness1.0920598
Sum85
Variance9.665873
MonotonicityNot monotonic
2024-03-23T04:49:41.110391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 19
52.8%
2 4
 
11.1%
3 3
 
8.3%
8 2
 
5.6%
5 2
 
5.6%
6 2
 
5.6%
10 1
 
2.8%
9 1
 
2.8%
4 1
 
2.8%
7 1
 
2.8%
ValueCountFrequency (%)
0 19
52.8%
2 4
 
11.1%
3 3
 
8.3%
4 1
 
2.8%
5 2
 
5.6%
6 2
 
5.6%
7 1
 
2.8%
8 2
 
5.6%
9 1
 
2.8%
10 1
 
2.8%
ValueCountFrequency (%)
10 1
 
2.8%
9 1
 
2.8%
8 2
 
5.6%
7 1
 
2.8%
6 2
 
5.6%
5 2
 
5.6%
4 1
 
2.8%
3 3
 
8.3%
2 4
 
11.1%
0 19
52.8%

금월 신규 대형
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1944444
Minimum0
Maximum7
Zeros21
Zeros (%)58.3%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-03-23T04:49:41.610049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile5
Maximum7
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.8333333
Coefficient of variation (CV)1.5348837
Kurtosis1.9640857
Mean1.1944444
Median Absolute Deviation (MAD)0
Skewness1.6108467
Sum43
Variance3.3611111
MonotonicityNot monotonic
2024-03-23T04:49:42.119527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 21
58.3%
1 4
 
11.1%
2 4
 
11.1%
5 2
 
5.6%
4 2
 
5.6%
3 2
 
5.6%
7 1
 
2.8%
ValueCountFrequency (%)
0 21
58.3%
1 4
 
11.1%
2 4
 
11.1%
3 2
 
5.6%
4 2
 
5.6%
5 2
 
5.6%
7 1
 
2.8%
ValueCountFrequency (%)
7 1
 
2.8%
5 2
 
5.6%
4 2
 
5.6%
3 2
 
5.6%
2 4
 
11.1%
1 4
 
11.1%
0 21
58.3%

금월 전입 계
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 row0
3rd row0
4th row0
5th row0

Common Values

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

Length

2024-03-23T04:49:42.718030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T04:49:43.101585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
86.1%
1 5
 
13.9%

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

2024-03-23T04:49:43.574242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T04:49:43.967458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
100.0%

금월 전입 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

2024-03-23T04:49:44.446171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T04:49:44.850231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
100.0%

금월 전입 중형
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
34 
1
 
2

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 34
94.4%
1 2
 
5.6%

Length

2024-03-23T04:49:45.209030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T04:49:45.638875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 34
94.4%
1 2
 
5.6%

금월 전입 대형
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

2024-03-23T04:49:46.084218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T04:49:46.825829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 33
91.7%
1 3
 
8.3%

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 row1
5th row0

Common Values

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

Length

2024-03-23T04:49:47.193926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T04:49:47.559408image/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

2024-03-23T04:49:47.897339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T04:49:48.242205image/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

2024-03-23T04:49:48.570464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T04:49:48.970980image/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

2024-03-23T04:49:49.524293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T04:49:49.903361image/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 row1
5th row0

Common Values

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

Length

2024-03-23T04:49:50.366652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T04:49:50.789707image/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%
Mean4.0555556
Minimum0
Maximum19
Zeros18
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-03-23T04:49:51.252361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q36.5
95-th percentile15.75
Maximum19
Range19
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation5.5133316
Coefficient of variation (CV)1.3594516
Kurtosis0.95676941
Mean4.0555556
Median Absolute Deviation (MAD)0.5
Skewness1.3341281
Sum146
Variance30.396825
MonotonicityNot monotonic
2024-03-23T04:49:51.818309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 18
50.0%
10 3
 
8.3%
6 3
 
8.3%
2 2
 
5.6%
4 2
 
5.6%
8 2
 
5.6%
1 1
 
2.8%
5 1
 
2.8%
18 1
 
2.8%
19 1
 
2.8%
Other values (2) 2
 
5.6%
ValueCountFrequency (%)
0 18
50.0%
1 1
 
2.8%
2 2
 
5.6%
4 2
 
5.6%
5 1
 
2.8%
6 3
 
8.3%
8 2
 
5.6%
10 3
 
8.3%
12 1
 
2.8%
15 1
 
2.8%
ValueCountFrequency (%)
19 1
 
2.8%
18 1
 
2.8%
15 1
 
2.8%
12 1
 
2.8%
10 3
8.3%
8 2
5.6%
6 3
8.3%
5 1
 
2.8%
4 2
5.6%
2 2
5.6%

금월 폐지 경형
Categorical

IMBALANCE 

Distinct4
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
31 
1
 
2
2
 
2
4
 
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 31
86.1%
1 2
 
5.6%
2 2
 
5.6%
4 1
 
2.8%

Length

2024-03-23T04:49:52.281991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T04:49:52.684077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
86.1%
1 2
 
5.6%
2 2
 
5.6%
4 1
 
2.8%

금월 폐지 소형
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
32 
1
4 

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 32
88.9%
1 4
 
11.1%

Length

2024-03-23T04:49:53.227208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T04:49:53.608673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 32
88.9%
1 4
 
11.1%

금월 폐지 중형
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3333333
Minimum0
Maximum14
Zeros19
Zeros (%)52.8%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-03-23T04:49:53.962814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile10
Maximum14
Range14
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.6645015
Coefficient of variation (CV)1.5705007
Kurtosis2.3804487
Mean2.3333333
Median Absolute Deviation (MAD)0
Skewness1.7684808
Sum84
Variance13.428571
MonotonicityNot monotonic
2024-03-23T04:49:54.364145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 19
52.8%
1 3
 
8.3%
2 3
 
8.3%
3 3
 
8.3%
10 2
 
5.6%
9 2
 
5.6%
5 2
 
5.6%
14 1
 
2.8%
4 1
 
2.8%
ValueCountFrequency (%)
0 19
52.8%
1 3
 
8.3%
2 3
 
8.3%
3 3
 
8.3%
4 1
 
2.8%
5 2
 
5.6%
9 2
 
5.6%
10 2
 
5.6%
14 1
 
2.8%
ValueCountFrequency (%)
14 1
 
2.8%
10 2
 
5.6%
9 2
 
5.6%
5 2
 
5.6%
4 1
 
2.8%
3 3
 
8.3%
2 3
 
8.3%
1 3
 
8.3%
0 19
52.8%

금월 폐지 대형
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3333333
Minimum0
Maximum9
Zeros19
Zeros (%)52.8%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-03-23T04:49:54.694859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile4.25
Maximum9
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.9856629
Coefficient of variation (CV)1.4892472
Kurtosis5.1101053
Mean1.3333333
Median Absolute Deviation (MAD)0
Skewness2.0118646
Sum48
Variance3.9428571
MonotonicityNot monotonic
2024-03-23T04:49:55.120756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 19
52.8%
3 6
 
16.7%
1 6
 
16.7%
4 2
 
5.6%
2 1
 
2.8%
9 1
 
2.8%
5 1
 
2.8%
ValueCountFrequency (%)
0 19
52.8%
1 6
 
16.7%
2 1
 
2.8%
3 6
 
16.7%
4 2
 
5.6%
5 1
 
2.8%
9 1
 
2.8%
ValueCountFrequency (%)
9 1
 
2.8%
5 1
 
2.8%
4 2
 
5.6%
3 6
 
16.7%
2 1
 
2.8%
1 6
 
16.7%
0 19
52.8%

금월 누적 계
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean304.86111
Minimum0
Maximum1512
Zeros13
Zeros (%)36.1%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-03-23T04:49:55.471892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median13
Q3591
95-th percentile825.75
Maximum1512
Range1512
Interquartile range (IQR)591

Descriptive statistics

Standard deviation373.89717
Coefficient of variation (CV)1.2264509
Kurtosis1.2464522
Mean304.86111
Median Absolute Deviation (MAD)13
Skewness1.1247035
Sum10975
Variance139799.09
MonotonicityNot monotonic
2024-03-23T04:49:56.008280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 13
36.1%
1 3
 
8.3%
591 2
 
5.6%
666 1
 
2.8%
511 1
 
2.8%
6 1
 
2.8%
416 1
 
2.8%
711 1
 
2.8%
813 1
 
2.8%
1512 1
 
2.8%
Other values (11) 11
30.6%
ValueCountFrequency (%)
0 13
36.1%
1 3
 
8.3%
6 1
 
2.8%
7 1
 
2.8%
19 1
 
2.8%
367 1
 
2.8%
370 1
 
2.8%
416 1
 
2.8%
420 1
 
2.8%
447 1
 
2.8%
ValueCountFrequency (%)
1512 1
2.8%
864 1
2.8%
813 1
2.8%
765 1
2.8%
712 1
2.8%
711 1
2.8%
697 1
2.8%
666 1
2.8%
591 2
5.6%
511 1
2.8%

금월 누적 경형
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.472222
Minimum0
Maximum59
Zeros17
Zeros (%)47.2%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-03-23T04:49:56.554714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.5
Q320.25
95-th percentile34.25
Maximum59
Range59
Interquartile range (IQR)20.25

Descriptive statistics

Standard deviation14.545468
Coefficient of variation (CV)1.2678858
Kurtosis1.6695191
Mean11.472222
Median Absolute Deviation (MAD)2.5
Skewness1.3076911
Sum413
Variance211.57063
MonotonicityNot monotonic
2024-03-23T04:49:57.171445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 17
47.2%
13 2
 
5.6%
27 2
 
5.6%
16 1
 
2.8%
15 1
 
2.8%
23 1
 
2.8%
59 1
 
2.8%
14 1
 
2.8%
32 1
 
2.8%
21 1
 
2.8%
Other values (8) 8
22.2%
ValueCountFrequency (%)
0 17
47.2%
1 1
 
2.8%
4 1
 
2.8%
10 1
 
2.8%
13 2
 
5.6%
14 1
 
2.8%
15 1
 
2.8%
16 1
 
2.8%
19 1
 
2.8%
20 1
 
2.8%
ValueCountFrequency (%)
59 1
2.8%
38 1
2.8%
33 1
2.8%
32 1
2.8%
28 1
2.8%
27 2
5.6%
23 1
2.8%
21 1
2.8%
20 1
2.8%
19 1
2.8%

금월 누적 소형
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)55.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.916667
Minimum0
Maximum311
Zeros17
Zeros (%)47.2%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-03-23T04:49:57.654055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5.5
Q3123.75
95-th percentile191.25
Maximum311
Range311
Interquartile range (IQR)123.75

Descriptive statistics

Standard deviation80.904309
Coefficient of variation (CV)1.2090308
Kurtosis0.54613112
Mean66.916667
Median Absolute Deviation (MAD)5.5
Skewness0.99486276
Sum2409
Variance6545.5071
MonotonicityNot monotonic
2024-03-23T04:49:58.159386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 17
47.2%
136 1
 
2.8%
122 1
 
2.8%
2 1
 
2.8%
77 1
 
2.8%
155 1
 
2.8%
153 1
 
2.8%
311 1
 
2.8%
78 1
 
2.8%
112 1
 
2.8%
Other values (10) 10
27.8%
ValueCountFrequency (%)
0 17
47.2%
2 1
 
2.8%
9 1
 
2.8%
77 1
 
2.8%
78 1
 
2.8%
89 1
 
2.8%
99 1
 
2.8%
112 1
 
2.8%
115 1
 
2.8%
118 1
 
2.8%
ValueCountFrequency (%)
311 1
2.8%
192 1
2.8%
191 1
2.8%
190 1
2.8%
155 1
2.8%
153 1
2.8%
136 1
2.8%
131 1
2.8%
129 1
2.8%
122 1
2.8%

금월 누적 중형
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)61.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean195.63889
Minimum0
Maximum926
Zeros15
Zeros (%)41.7%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-03-23T04:49:58.614912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6.5
Q3395.5
95-th percentile555.75
Maximum926
Range926
Interquartile range (IQR)395.5

Descriptive statistics

Standard deviation238.5504
Coefficient of variation (CV)1.2193404
Kurtosis0.66423773
Mean195.63889
Median Absolute Deviation (MAD)6.5
Skewness1.0230641
Sum7043
Variance56906.294
MonotonicityNot monotonic
2024-03-23T04:49:59.102405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 15
41.7%
433 1
 
2.8%
337 1
 
2.8%
4 1
 
2.8%
280 1
 
2.8%
482 1
 
2.8%
547 1
 
2.8%
926 1
 
2.8%
1 1
 
2.8%
234 1
 
2.8%
Other values (12) 12
33.3%
ValueCountFrequency (%)
0 15
41.7%
1 1
 
2.8%
4 1
 
2.8%
6 1
 
2.8%
7 1
 
2.8%
234 1
 
2.8%
236 1
 
2.8%
242 1
 
2.8%
273 1
 
2.8%
280 1
 
2.8%
ValueCountFrequency (%)
926 1
2.8%
582 1
2.8%
547 1
2.8%
482 1
2.8%
468 1
2.8%
459 1
2.8%
433 1
2.8%
422 1
2.8%
397 1
2.8%
395 1
2.8%

금월 누적 대형
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)47.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.833333
Minimum0
Maximum216
Zeros18
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-03-23T04:49:59.737917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q348.75
95-th percentile93.25
Maximum216
Range216
Interquartile range (IQR)48.75

Descriptive statistics

Standard deviation44.679494
Coefficient of variation (CV)1.4490647
Kurtosis7.4695653
Mean30.833333
Median Absolute Deviation (MAD)0.5
Skewness2.3129742
Sum1110
Variance1996.2571
MonotonicityNot monotonic
2024-03-23T04:50:00.316082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 18
50.0%
57 2
 
5.6%
65 2
 
5.6%
48 1
 
2.8%
36 1
 
2.8%
44 1
 
2.8%
51 1
 
2.8%
86 1
 
2.8%
216 1
 
2.8%
42 1
 
2.8%
Other values (7) 7
 
19.4%
ValueCountFrequency (%)
0 18
50.0%
1 1
 
2.8%
29 1
 
2.8%
36 1
 
2.8%
38 1
 
2.8%
39 1
 
2.8%
40 1
 
2.8%
42 1
 
2.8%
44 1
 
2.8%
48 1
 
2.8%
ValueCountFrequency (%)
216 1
2.8%
115 1
2.8%
86 1
2.8%
81 1
2.8%
65 2
5.6%
57 2
5.6%
51 1
2.8%
48 1
2.8%
44 1
2.8%
42 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 관용0000000000000001001000000
1감만1동 자가용300210000000000200025912713139538
2감만2동 관용0000000000000000000000000
3감만2동 자가용50230000001000150023370108924229
4대연1동 관용0000000000000000000010001
5대연1동 자가용130085000000000018011437653319245981
6대연3동 관용00000000000000000000194960
7대연3동 자가용18101071000100000190010986438129582115
8대연4동 관용0000000000000000000011000
9대연4동 자가용14019400000000001000915911911839757
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 관용0000000000000000000000000
27용호2동 자가용900721001020020801348132715354786
28용호3동 관용0000000000000000000000000
29용호3동 자가용1101640000000000601237112315548251
30용호4동 관용0000000000000000000000000
31용호4동 자가용30021000000000020011416157728044
32우암1동 관용0000000000000000000000000
33우암1동 자가용0000000000000000000060240
34우암동 관용0000000000000000000000000
35우암동 자가용7005200000100101020355111612233736