Overview

Dataset statistics

Number of variables26
Number of observations59
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.6 KiB
Average record size in memory235.2 B

Variable types

Text1
Numeric11
Categorical14

Dataset

Description부산광역시남구이륜차등록현황_20210316
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15023019

Alerts

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 (71.0%)Imbalance
금월 신규 소형 is highly imbalanced (71.0%)Imbalance
금월 전입 계 is highly imbalanced (51.0%)Imbalance
금월 전입 경형 is highly imbalanced (71.0%)Imbalance
금월 전입 중형 is highly imbalanced (62.4%)Imbalance
금월 전입 대형 is highly imbalanced (71.0%)Imbalance
금월 전출 대형 is highly imbalanced (71.0%)Imbalance
금월 폐지 소형 is highly imbalanced (62.4%)Imbalance
행정동명 용도/규모 has unique valuesUnique
금월 신규 계 has 22 (37.3%) zerosZeros
금월 신규 중형 has 22 (37.3%) zerosZeros
금월 신규 대형 has 38 (64.4%) zerosZeros
금월 폐지 계 has 21 (35.6%) zerosZeros
금월 폐지 중형 has 21 (35.6%) zerosZeros
금월 폐지 대형 has 36 (61.0%) zerosZeros
금월 누적 계 has 12 (20.3%) zerosZeros
금월 누적 경형 has 22 (37.3%) zerosZeros
금월 누적 소형 has 17 (28.8%) zerosZeros
금월 누적 중형 has 15 (25.4%) zerosZeros
금월 누적 대형 has 24 (40.7%) zerosZeros

Reproduction

Analysis started2023-12-10 16:18:41.621801
Analysis finished2023-12-10 16:18:41.831025
Duration0.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정동명 용도/규모
Text

UNIQUE 

Distinct59
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size604.0 B
2023-12-11T01:18:41.937814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length7.1525424
Min length5

Characters and Unicode

Total characters422
Distinct characters26
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

Unique59 ?
Unique (%)100.0%

Sample

1st row감만1동 관용
2nd row감만1동 자가용
3rd row감만1동 소계
4th row감만2동 관용
5th row감만2동 자가용
ValueCountFrequency (%)
관용 20
17.1%
자가용 20
17.1%
소계 18
15.4%
감만1동 3
 
2.6%
우암2동 3
 
2.6%
우암1동 3
 
2.6%
용호2동 3
 
2.6%
용호1동 3
 
2.6%
용당동 3
 
2.6%
문현4동 3
 
2.6%
Other values (14) 38
32.5%
2023-12-11T01:18:42.232322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
58
13.7%
동 57
13.5%
용 55
13.0%
자 20
 
4.7%
가 20
 
4.7%
관 20
 
4.7%
소 19
 
4.5%
계 19
 
4.5%
1 15
 
3.6%
대 15
 
3.6%
Other values (16) 124
29.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 313
74.2%
Space Separator 58
 
13.7%
Decimal Number 51
 
12.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 57
18.2%
용 55
17.6%
자 20
 
6.4%
가 20
 
6.4%
관 20
 
6.4%
소 19
 
6.1%
계 19
 
6.1%
대 15
 
4.8%
연 15
 
4.8%
문 12
 
3.8%
Other values (9) 61
19.5%
Decimal Number
ValueCountFrequency (%)
1 15
29.4%
2 12
23.5%
3 9
17.6%
4 9
17.6%
6 3
 
5.9%
5 3
 
5.9%
Space Separator
ValueCountFrequency (%)
58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 313
74.2%
Common 109
 
25.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 57
18.2%
용 55
17.6%
자 20
 
6.4%
가 20
 
6.4%
관 20
 
6.4%
소 19
 
6.1%
계 19
 
6.1%
대 15
 
4.8%
연 15
 
4.8%
문 12
 
3.8%
Other values (9) 61
19.5%
Common
ValueCountFrequency (%)
58
53.2%
1 15
 
13.8%
2 12
 
11.0%
3 9
 
8.3%
4 9
 
8.3%
6 3
 
2.8%
5 3
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 313
74.2%
ASCII 109
 
25.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
58
53.2%
1 15
 
13.8%
2 12
 
11.0%
3 9
 
8.3%
4 9
 
8.3%
6 3
 
2.8%
5 3
 
2.8%
Hangul
ValueCountFrequency (%)
동 57
18.2%
용 55
17.6%
자 20
 
6.4%
가 20
 
6.4%
관 20
 
6.4%
소 19
 
6.1%
계 19
 
6.1%
대 15
 
4.8%
연 15
 
4.8%
문 12
 
3.8%
Other values (9) 61
19.5%

금월 신규 계
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.8983051
Minimum0
Maximum173
Zeros22
Zeros (%)37.3%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-11T01:18:42.357044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q39
95-th percentile19.6
Maximum173
Range173
Interquartile range (IQR)9

Descriptive statistics

Standard deviation22.922429
Coefficient of variation (CV)2.5760444
Kurtosis47.129878
Mean8.8983051
Median Absolute Deviation (MAD)6
Skewness6.5723334
Sum525
Variance525.43776
MonotonicityNot monotonic
2023-12-11T01:18:42.730423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 22
37.3%
7 8
 
13.6%
8 5
 
8.5%
12 4
 
6.8%
3 4
 
6.8%
10 3
 
5.1%
18 2
 
3.4%
14 2
 
3.4%
2 2
 
3.4%
34 2
 
3.4%
Other values (3) 5
 
8.5%
ValueCountFrequency (%)
0 22
37.3%
2 2
 
3.4%
3 4
 
6.8%
6 2
 
3.4%
7 8
 
13.6%
8 5
 
8.5%
9 2
 
3.4%
10 3
 
5.1%
12 4
 
6.8%
14 2
 
3.4%
ValueCountFrequency (%)
173 1
 
1.7%
34 2
 
3.4%
18 2
 
3.4%
14 2
 
3.4%
12 4
6.8%
10 3
 
5.1%
9 2
 
3.4%
8 5
8.5%
7 8
13.6%
6 2
 
3.4%

금월 신규 경형
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
0
56 
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 56
94.9%
1 3
 
5.1%

Length

2023-12-11T01:18:42.861958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:42.963959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 56
94.9%
1 3
 
5.1%

금월 신규 소형
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
0
56 
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 56
94.9%
1 3
 
5.1%

Length

2023-12-11T01:18:43.066605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:43.159945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 56
94.9%
1 3
 
5.1%

금월 신규 중형
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)23.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.220339
Minimum0
Maximum140
Zeros22
Zeros (%)37.3%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-11T01:18:43.238485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q38
95-th percentile15.2
Maximum140
Range140
Interquartile range (IQR)8

Descriptive statistics

Standard deviation18.521253
Coefficient of variation (CV)2.5651501
Kurtosis47.397816
Mean7.220339
Median Absolute Deviation (MAD)3
Skewness6.5895903
Sum426
Variance343.03682
MonotonicityNot monotonic
2023-12-11T01:18:43.362280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 22
37.3%
7 7
 
11.9%
5 4
 
6.8%
2 4
 
6.8%
3 4
 
6.8%
9 3
 
5.1%
12 2
 
3.4%
14 2
 
3.4%
11 2
 
3.4%
10 2
 
3.4%
Other values (4) 7
 
11.9%
ValueCountFrequency (%)
0 22
37.3%
2 4
 
6.8%
3 4
 
6.8%
4 2
 
3.4%
5 4
 
6.8%
7 7
 
11.9%
8 2
 
3.4%
9 3
 
5.1%
10 2
 
3.4%
11 2
 
3.4%
ValueCountFrequency (%)
140 1
 
1.7%
26 2
 
3.4%
14 2
 
3.4%
12 2
 
3.4%
11 2
 
3.4%
10 2
 
3.4%
9 3
5.1%
8 2
 
3.4%
7 7
11.9%
5 4
6.8%

금월 신규 대형
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5762712
Minimum0
Maximum31
Zeros38
Zeros (%)64.4%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-11T01:18:43.478521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5.3
Maximum31
Range31
Interquartile range (IQR)1

Descriptive statistics

Standard deviation4.3715514
Coefficient of variation (CV)2.7733498
Kurtosis36.304675
Mean1.5762712
Median Absolute Deviation (MAD)0
Skewness5.5644825
Sum93
Variance19.110462
MonotonicityNot monotonic
2023-12-11T01:18:43.578086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 38
64.4%
1 8
 
13.6%
5 4
 
6.8%
2 2
 
3.4%
4 2
 
3.4%
8 2
 
3.4%
3 2
 
3.4%
31 1
 
1.7%
ValueCountFrequency (%)
0 38
64.4%
1 8
 
13.6%
2 2
 
3.4%
3 2
 
3.4%
4 2
 
3.4%
5 4
 
6.8%
8 2
 
3.4%
31 1
 
1.7%
ValueCountFrequency (%)
31 1
 
1.7%
8 2
 
3.4%
5 4
 
6.8%
4 2
 
3.4%
3 2
 
3.4%
2 2
 
3.4%
1 8
 
13.6%
0 38
64.4%

금월 전입 계
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size604.0 B
0
48 
1
10 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 48
81.4%
1 10
 
16.9%
5 1
 
1.7%

Length

2023-12-11T01:18:43.697361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:43.787631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 48
81.4%
1 10
 
16.9%
5 1
 
1.7%

금월 전입 경형
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
0
56 
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 56
94.9%
1 3
 
5.1%

Length

2023-12-11T01:18:43.912634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:44.006462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 56
94.9%
1 3
 
5.1%

금월 전입 소형
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size604.0 B
0
59 

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 59
100.0%

Length

2023-12-11T01:18:44.122909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:44.248227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 59
100.0%

금월 전입 중형
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size604.0 B
0
52 
1
6 
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 52
88.1%
1 6
 
10.2%
3 1
 
1.7%

Length

2023-12-11T01:18:44.385792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:44.510657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 52
88.1%
1 6
 
10.2%
3 1
 
1.7%

금월 전입 대형
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
0
56 
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 56
94.9%
1 3
 
5.1%

Length

2023-12-11T01:18:44.623338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:44.732504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 56
94.9%
1 3
 
5.1%

금월 전출 계
Categorical

Distinct4
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size604.0 B
0
44 
1
10 
3
 
4
11
 
1

Length

Max length2
Median length1
Mean length1.0169492
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 44
74.6%
1 10
 
16.9%
3 4
 
6.8%
11 1
 
1.7%

Length

2023-12-11T01:18:44.875670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:44.987642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 44
74.6%
1 10
 
16.9%
3 4
 
6.8%
11 1
 
1.7%

금월 전출 경형
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size604.0 B
0
59 

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 59
100.0%

Length

2023-12-11T01:18:45.111138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:45.205655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 59
100.0%

금월 전출 소형
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size604.0 B
0
59 

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 59
100.0%

Length

2023-12-11T01:18:45.290849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:45.370864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 59
100.0%

금월 전출 중형
Categorical

Distinct4
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size604.0 B
0
46 
1
8 
3
 
4
10
 
1

Length

Max length2
Median length1
Mean length1.0169492
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 46
78.0%
1 8
 
13.6%
3 4
 
6.8%
10 1
 
1.7%

Length

2023-12-11T01:18:45.459454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:45.575830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 46
78.0%
1 8
 
13.6%
3 4
 
6.8%
10 1
 
1.7%

금월 전출 대형
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
0
56 
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 56
94.9%
1 3
 
5.1%

Length

2023-12-11T01:18:45.677387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:45.770003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 56
94.9%
1 3
 
5.1%

금월 폐지 계
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)25.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.0338983
Minimum0
Maximum155
Zeros21
Zeros (%)35.6%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-11T01:18:45.863688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q39
95-th percentile19.6
Maximum155
Range155
Interquartile range (IQR)9

Descriptive statistics

Standard deviation20.38844
Coefficient of variation (CV)2.5378016
Kurtosis48.493295
Mean8.0338983
Median Absolute Deviation (MAD)5
Skewness6.6850649
Sum474
Variance415.68849
MonotonicityNot monotonic
2023-12-11T01:18:45.993508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 21
35.6%
10 6
 
10.2%
9 6
 
10.2%
5 5
 
8.5%
4 4
 
6.8%
7 4
 
6.8%
14 2
 
3.4%
3 2
 
3.4%
6 2
 
3.4%
25 2
 
3.4%
Other values (5) 5
 
8.5%
ValueCountFrequency (%)
0 21
35.6%
1 1
 
1.7%
2 1
 
1.7%
3 2
 
3.4%
4 4
 
6.8%
5 5
 
8.5%
6 2
 
3.4%
7 4
 
6.8%
9 6
 
10.2%
10 6
 
10.2%
ValueCountFrequency (%)
155 1
 
1.7%
25 2
 
3.4%
19 1
 
1.7%
18 1
 
1.7%
14 2
 
3.4%
10 6
10.2%
9 6
10.2%
7 4
6.8%
6 2
 
3.4%
5 5
8.5%

금월 폐지 경형
Categorical

Distinct4
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size604.0 B
0
44 
1
10 
2
 
4
9
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 44
74.6%
1 10
 
16.9%
2 4
 
6.8%
9 1
 
1.7%

Length

2023-12-11T01:18:46.135397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:46.254219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 44
74.6%
1 10
 
16.9%
2 4
 
6.8%
9 1
 
1.7%

금월 폐지 소형
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size604.0 B
0
52 
1
6 
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 52
88.1%
1 6
 
10.2%
3 1
 
1.7%

Length

2023-12-11T01:18:46.361879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:46.477129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 52
88.1%
1 6
 
10.2%
3 1
 
1.7%

금월 폐지 중형
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.1016949
Minimum0
Maximum117
Zeros21
Zeros (%)35.6%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-11T01:18:46.578203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q37.5
95-th percentile13.5
Maximum117
Range117
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation15.363071
Coefficient of variation (CV)2.5178367
Kurtosis48.780623
Mean6.1016949
Median Absolute Deviation (MAD)4
Skewness6.7081941
Sum360
Variance236.02396
MonotonicityNot monotonic
2023-12-11T01:18:46.695696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 21
35.6%
8 8
 
13.6%
4 7
 
11.9%
3 5
 
8.5%
5 4
 
6.8%
12 3
 
5.1%
2 2
 
3.4%
7 2
 
3.4%
18 2
 
3.4%
6 2
 
3.4%
Other values (3) 3
 
5.1%
ValueCountFrequency (%)
0 21
35.6%
1 1
 
1.7%
2 2
 
3.4%
3 5
 
8.5%
4 7
 
11.9%
5 4
 
6.8%
6 2
 
3.4%
7 2
 
3.4%
8 8
 
13.6%
12 3
 
5.1%
ValueCountFrequency (%)
117 1
 
1.7%
18 2
 
3.4%
13 1
 
1.7%
12 3
 
5.1%
8 8
13.6%
7 2
 
3.4%
6 2
 
3.4%
5 4
6.8%
4 7
11.9%
3 5
8.5%

금월 폐지 대형
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3220339
Minimum0
Maximum26
Zeros36
Zeros (%)61.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-11T01:18:46.814102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4.2
Maximum26
Range26
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.6028757
Coefficient of variation (CV)2.7252521
Kurtosis39.072226
Mean1.3220339
Median Absolute Deviation (MAD)0
Skewness5.8146006
Sum78
Variance12.980713
MonotonicityNot monotonic
2023-12-11T01:18:46.951531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 36
61.0%
1 10
 
16.9%
4 4
 
6.8%
2 4
 
6.8%
3 2
 
3.4%
6 2
 
3.4%
26 1
 
1.7%
ValueCountFrequency (%)
0 36
61.0%
1 10
 
16.9%
2 4
 
6.8%
3 2
 
3.4%
4 4
 
6.8%
6 2
 
3.4%
26 1
 
1.7%
ValueCountFrequency (%)
26 1
 
1.7%
6 2
 
3.4%
4 4
 
6.8%
3 2
 
3.4%
2 4
 
6.8%
1 10
 
16.9%
0 36
61.0%

금월 누적 계
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)55.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean553.52542
Minimum0
Maximum10851
Zeros12
Zeros (%)20.3%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-11T01:18:47.104323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median410
Q3649
95-th percentile930.7
Maximum10851
Range10851
Interquartile range (IQR)648

Descriptive statistics

Standard deviation1413.3995
Coefficient of variation (CV)2.5534501
Kurtosis50.72866
Mean553.52542
Median Absolute Deviation (MAD)402
Skewness6.8861334
Sum32658
Variance1997698.3
MonotonicityNot monotonic
2023-12-11T01:18:47.302573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 12
20.3%
1 4
 
6.8%
646 2
 
3.4%
529 2
 
3.4%
2 2
 
3.4%
8 2
 
3.4%
1441 2
 
3.4%
364 2
 
3.4%
410 2
 
3.4%
527 2
 
3.4%
Other values (23) 27
45.8%
ValueCountFrequency (%)
0 12
20.3%
1 4
 
6.8%
2 2
 
3.4%
3 1
 
1.7%
7 1
 
1.7%
8 2
 
3.4%
21 1
 
1.7%
35 1
 
1.7%
350 2
 
3.4%
364 2
 
3.4%
ValueCountFrequency (%)
10851 1
1.7%
1441 2
3.4%
874 1
1.7%
873 1
1.7%
855 1
1.7%
854 1
1.7%
843 2
3.4%
774 1
1.7%
753 1
1.7%
713 1
1.7%

금월 누적 경형
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)30.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.847458
Minimum0
Maximum525
Zeros22
Zeros (%)37.3%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-11T01:18:47.440417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median15
Q332.5
95-th percentile50.6
Maximum525
Range525
Interquartile range (IQR)32.5

Descriptive statistics

Standard deviation68.71852
Coefficient of variation (CV)2.5595913
Kurtosis49.662199
Mean26.847458
Median Absolute Deviation (MAD)15
Skewness6.7869176
Sum1584
Variance4722.235
MonotonicityNot monotonic
2023-12-11T01:18:47.574691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 22
37.3%
23 4
 
6.8%
45 3
 
5.1%
48 3
 
5.1%
11 2
 
3.4%
18 2
 
3.4%
13 2
 
3.4%
33 2
 
3.4%
36 2
 
3.4%
74 2
 
3.4%
Other values (8) 15
25.4%
ValueCountFrequency (%)
0 22
37.3%
3 2
 
3.4%
11 2
 
3.4%
13 2
 
3.4%
15 2
 
3.4%
18 2
 
3.4%
21 2
 
3.4%
23 4
 
6.8%
25 2
 
3.4%
26 2
 
3.4%
ValueCountFrequency (%)
525 1
 
1.7%
74 2
3.4%
48 3
5.1%
45 3
5.1%
37 2
3.4%
36 2
3.4%
33 2
3.4%
32 2
3.4%
26 2
3.4%
25 2
3.4%

금월 누적 소형
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)44.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean138.50847
Minimum0
Maximum2714
Zeros17
Zeros (%)28.8%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-11T01:18:47.753257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median93
Q3160.5
95-th percentile277.4
Maximum2714
Range2714
Interquartile range (IQR)160.5

Descriptive statistics

Standard deviation353.74642
Coefficient of variation (CV)2.5539695
Kurtosis50.57946
Mean138.50847
Median Absolute Deviation (MAD)93
Skewness6.8709326
Sum8172
Variance125136.53
MonotonicityNot monotonic
2023-12-11T01:18:47.914202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 17
28.8%
148 2
 
3.4%
147 2
 
3.4%
2 2
 
3.4%
3 2
 
3.4%
89 2
 
3.4%
173 2
 
3.4%
335 2
 
3.4%
93 2
 
3.4%
202 2
 
3.4%
Other values (16) 24
40.7%
ValueCountFrequency (%)
0 17
28.8%
1 1
 
1.7%
2 2
 
3.4%
3 2
 
3.4%
9 1
 
1.7%
10 1
 
1.7%
89 2
 
3.4%
92 2
 
3.4%
93 2
 
3.4%
97 2
 
3.4%
ValueCountFrequency (%)
2714 1
1.7%
335 2
3.4%
271 1
1.7%
270 1
1.7%
228 2
3.4%
202 2
3.4%
192 2
3.4%
188 2
3.4%
173 2
3.4%
148 2
3.4%

금월 누적 중형
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)52.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean352.32203
Minimum0
Maximum6907
Zeros15
Zeros (%)25.4%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-11T01:18:48.066749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.5
median265
Q3379.5
95-th percentile606.2
Maximum6907
Range6907
Interquartile range (IQR)379

Descriptive statistics

Standard deviation899.25372
Coefficient of variation (CV)2.552363
Kurtosis50.828597
Mean352.32203
Median Absolute Deviation (MAD)260
Skewness6.8947062
Sum20787
Variance808657.26
MonotonicityNot monotonic
2023-12-11T01:18:48.208071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 15
25.4%
1 3
 
5.1%
389 2
 
3.4%
343 2
 
3.4%
5 2
 
3.4%
540 2
 
3.4%
887 2
 
3.4%
222 2
 
3.4%
274 2
 
3.4%
361 2
 
3.4%
Other values (21) 25
42.4%
ValueCountFrequency (%)
0 15
25.4%
1 3
 
5.1%
3 1
 
1.7%
5 2
 
3.4%
7 1
 
1.7%
9 1
 
1.7%
22 1
 
1.7%
222 2
 
3.4%
231 2
 
3.4%
258 1
 
1.7%
ValueCountFrequency (%)
6907 1
1.7%
887 2
3.4%
575 1
1.7%
574 1
1.7%
556 2
3.4%
540 2
3.4%
514 1
1.7%
505 1
1.7%
446 1
1.7%
443 1
1.7%

금월 누적 대형
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)28.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.847458
Minimum0
Maximum705
Zeros24
Zeros (%)40.7%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-11T01:18:48.364036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median25
Q333.5
95-th percentile79.3
Maximum705
Range705
Interquartile range (IQR)33.5

Descriptive statistics

Standard deviation93.651005
Coefficient of variation (CV)2.6124867
Kurtosis46.758234
Mean35.847458
Median Absolute Deviation (MAD)25
Skewness6.5442944
Sum2115
Variance8770.5108
MonotonicityNot monotonic
2023-12-11T01:18:48.516302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 24
40.7%
30 4
 
6.8%
32 4
 
6.8%
21 2
 
3.4%
38 2
 
3.4%
58 2
 
3.4%
145 2
 
3.4%
26 2
 
3.4%
28 2
 
3.4%
34 2
 
3.4%
Other values (7) 13
22.0%
ValueCountFrequency (%)
0 24
40.7%
12 2
 
3.4%
21 2
 
3.4%
25 2
 
3.4%
26 2
 
3.4%
28 2
 
3.4%
30 4
 
6.8%
32 4
 
6.8%
33 2
 
3.4%
34 2
 
3.4%
ValueCountFrequency (%)
705 1
 
1.7%
145 2
3.4%
72 2
3.4%
58 2
3.4%
45 2
3.4%
44 2
3.4%
38 2
3.4%
34 2
3.4%
33 2
3.4%
32 4
6.8%

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 자가용120012000000000001010818544820257430
2감만1동 소계120012000000000001010818554820257530
3감만2동 관용0000000000000000000000000
4감만2동 자가용70052000001001040031350159223112
5감만2동 소계70052000001001040031350159223112
6대연1동 관용0000000000000000000000000
7대연1동 자가용1800144000001001014201206524519237045
8대연1동 소계1800144000001001014201206524519237045
9대연3동 관용00000000000000010010213990
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
49우암1동 자가용0000000000000000000080350
50우암1동 소계0000000000000000000080350
51우암2동 관용0000000000000000000000000
52우암2동 자가용0000000000000000000020200
53우암2동 소계0000000000000000000020200
54우암동 관용0000000000000000000000000
55우암동 자가용800800000000000701605291814734321
56우암동소계800800000000000701605291814734321
57전체 관용2002000000000003003035310220
58전체 자가용173111403151031110010115593117261085152527146907705