Overview

Dataset statistics

Number of variables23
Number of observations1641
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory317.4 KiB
Average record size in memory198.1 B

Variable types

Numeric14
Categorical9

Dataset

Description이 데이터는 경상남도 밀양시의 보도구간에 대한 정보(관리기관, 위치정보, 폭원, 연장, 면적, 재질 등)를 담고 있습니다.
Author경상남도 밀양시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15093576

Alerts

지형지물부호 is highly imbalanced (99.3%)Imbalance
관리기관 is highly imbalanced (90.9%)Imbalance
보도관리자 is highly imbalanced (64.8%)Imbalance
위치구분 is highly imbalanced (53.2%)Imbalance
자전거전용도로_재질 is highly imbalanced (65.2%)Imbalance
보도재질 is highly imbalanced (62.2%)Imbalance
구분 has unique valuesUnique
도로면관리번호 has unique valuesUnique
연장 has 19 (1.2%) zerosZeros
보도턱_총개수 has 596 (36.3%) zerosZeros
보도턱_횡단보도낮추기 has 1188 (72.4%) zerosZeros
보도턱_보도진입부낮추기 has 868 (52.9%) zerosZeros
자전거전용도로_연장 has 1355 (82.6%) zerosZeros
자전거전용도로_폭원 has 1352 (82.4%) zerosZeros
자전거전용도로_면적 has 1355 (82.6%) zerosZeros
보도경계석_연장 has 88 (5.4%) zerosZeros
유도블록_연장 has 1135 (69.2%) zerosZeros
유도블록_면적 has 1212 (73.9%) zerosZeros

Reproduction

Analysis started2023-12-10 23:46:10.542152
Analysis finished2023-12-10 23:46:10.860284
Duration0.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Real number (ℝ)

UNIQUE 

Distinct1641
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean820
Minimum0
Maximum1640
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size14.6 KiB
2023-12-11T08:46:10.924769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile82
Q1410
median820
Q31230
95-th percentile1558
Maximum1640
Range1640
Interquartile range (IQR)820

Descriptive statistics

Standard deviation473.86021
Coefficient of variation (CV)0.57787831
Kurtosis-1.2
Mean820
Median Absolute Deviation (MAD)410
Skewness0
Sum1345620
Variance224543.5
MonotonicityStrictly increasing
2023-12-11T08:46:11.047843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1
 
0.1%
1090 1
 
0.1%
1100 1
 
0.1%
1099 1
 
0.1%
1098 1
 
0.1%
1097 1
 
0.1%
1096 1
 
0.1%
1095 1
 
0.1%
1094 1
 
0.1%
1093 1
 
0.1%
Other values (1631) 1631
99.4%
ValueCountFrequency (%)
0 1
0.1%
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
ValueCountFrequency (%)
1640 1
0.1%
1639 1
0.1%
1638 1
0.1%
1637 1
0.1%
1636 1
0.1%
1635 1
0.1%
1634 1
0.1%
1633 1
0.1%
1632 1
0.1%
1631 1
0.1%

지형지물부호
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.9 KiB
보도면
1640 
미분류
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
보도면 1640
99.9%
미분류 1
 
0.1%

Length

2023-12-11T08:46:11.174595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:46:11.266918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보도면 1640
99.9%
미분류 1
 
0.1%

도로면관리번호
Real number (ℝ)

UNIQUE 

Distinct1641
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean431390.94
Minimum0
Maximum990554
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size14.6 KiB
2023-12-11T08:46:11.388377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile140025
Q1190255
median390045
Q3490128
95-th percentile990462
Maximum990554
Range990554
Interquartile range (IQR)299873

Descriptive statistics

Standard deviation277835.19
Coefficient of variation (CV)0.64404502
Kurtosis-0.15572373
Mean431390.94
Median Absolute Deviation (MAD)100093
Skewness0.98318406
Sum7.0791253 × 108
Variance7.719239 × 1010
MonotonicityNot monotonic
2023-12-11T08:46:11.514660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
290013 1
 
0.1%
390200 1
 
0.1%
490018 1
 
0.1%
490017 1
 
0.1%
490124 1
 
0.1%
490123 1
 
0.1%
490006 1
 
0.1%
490004 1
 
0.1%
490003 1
 
0.1%
490002 1
 
0.1%
Other values (1631) 1631
99.4%
ValueCountFrequency (%)
0 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
11 1
0.1%
12 1
0.1%
13 1
0.1%
ValueCountFrequency (%)
990554 1
0.1%
990544 1
0.1%
990543 1
0.1%
990542 1
0.1%
990541 1
0.1%
990540 1
0.1%
990539 1
0.1%
990538 1
0.1%
990537 1
0.1%
990536 1
0.1%

행정읍면동
Categorical

Distinct13
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size12.9 KiB
내이동
377 
삼문동
279 
교동
206 
가곡동
146 
하남읍
137 
Other values (8)
496 

Length

Max length4
Median length3
Mean length2.9561243
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
내이동 377
23.0%
삼문동 279
17.0%
교동 206
12.6%
가곡동 146
 
8.9%
하남읍 137
 
8.3%
삼랑진읍 134
 
8.2%
내일동 120
 
7.3%
부북면 98
 
6.0%
상남면 66
 
4.0%
무안면 55
 
3.4%
Other values (3) 23
 
1.4%

Length

2023-12-11T08:46:11.630645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
내이동 377
23.0%
삼문동 279
17.0%
교동 206
12.6%
가곡동 146
 
8.9%
하남읍 137
 
8.3%
삼랑진읍 134
 
8.2%
내일동 120
 
7.3%
부북면 98
 
6.0%
상남면 66
 
4.0%
무안면 55
 
3.4%
Other values (3) 23
 
1.4%

관리기관
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.9 KiB
밀양시
1622 
미분류
 
19

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
밀양시 1622
98.8%
미분류 19
 
1.2%

Length

2023-12-11T08:46:11.735766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:46:11.845799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
밀양시 1622
98.8%
미분류 19
 
1.2%

보도관리자
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size12.9 KiB
밀양시 건설과
1304 
<NA>
285 
밀양시
 
24
밀양시건설과
 
18
도시과
 
9

Length

Max length30
Median length24
Mean length20.590494
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row밀양시 건설과
2nd row밀양시 건설과
3rd row밀양시 건설과
4th row밀양시 건설과
5th row밀양시 건설과

Common Values

ValueCountFrequency (%)
밀양시 건설과 1304
79.5%
<NA> 285
 
17.4%
밀양시 24
 
1.5%
밀양시건설과 18
 
1.1%
도시과 9
 
0.5%
MNG_NAM 1
 
0.1%

Length

2023-12-11T08:46:11.952959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:46:12.060235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
밀양시 1328
45.1%
건설과 1304
44.3%
na 285
 
9.7%
밀양시건설과 18
 
0.6%
도시과 9
 
0.3%
mng_nam 1
 
< 0.1%

위치구분
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.9 KiB
우
835 
좌
789 
미분류
 
10
중앙
 
4
기타
 
3

Length

Max length3
Median length1
Mean length1.0164534
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row우
2nd row우
3rd row좌
4th row좌
5th row우

Common Values

ValueCountFrequency (%)
우 835
50.9%
좌 789
48.1%
미분류 10
 
0.6%
중앙 4
 
0.2%
기타 3
 
0.2%

Length

2023-12-11T08:46:12.205600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:46:12.383925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
우 835
50.9%
좌 789
48.1%
미분류 10
 
0.6%
중앙 4
 
0.2%
기타 3
 
0.2%

폭원
Real number (ℝ)

Distinct16
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8909202
Minimum0
Maximum22
Zeros10
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size14.6 KiB
2023-12-11T08:46:12.481958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum22
Range22
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.5506636
Coefficient of variation (CV)0.53639103
Kurtosis36.880252
Mean2.8909202
Median Absolute Deviation (MAD)1
Skewness4.3299834
Sum4744
Variance2.4045578
MonotonicityNot monotonic
2023-12-11T08:46:12.581737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
2 709
43.2%
3 447
27.2%
4 218
 
13.3%
5 143
 
8.7%
1 80
 
4.9%
6 15
 
0.9%
0 10
 
0.6%
8 4
 
0.2%
7 4
 
0.2%
14 3
 
0.2%
Other values (6) 8
 
0.5%
ValueCountFrequency (%)
0 10
 
0.6%
1 80
 
4.9%
2 709
43.2%
3 447
27.2%
4 218
 
13.3%
5 143
 
8.7%
6 15
 
0.9%
7 4
 
0.2%
8 4
 
0.2%
12 1
 
0.1%
ValueCountFrequency (%)
22 1
 
0.1%
19 1
 
0.1%
18 1
 
0.1%
16 1
 
0.1%
14 3
 
0.2%
13 3
 
0.2%
12 1
 
0.1%
8 4
 
0.2%
7 4
 
0.2%
6 15
0.9%

연장
Real number (ℝ)

ZEROS 

Distinct226
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.187081
Minimum0
Maximum498
Zeros19
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size14.6 KiB
2023-12-11T08:46:12.719046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q111
median30
Q363
95-th percentile173
Maximum498
Range498
Interquartile range (IQR)52

Descriptive statistics

Standard deviation63.269225
Coefficient of variation (CV)1.2360389
Kurtosis9.4930118
Mean51.187081
Median Absolute Deviation (MAD)22
Skewness2.716089
Sum83998
Variance4002.9949
MonotonicityNot monotonic
2023-12-11T08:46:12.895055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 63
 
3.8%
4 45
 
2.7%
6 45
 
2.7%
10 42
 
2.6%
2 38
 
2.3%
9 37
 
2.3%
7 34
 
2.1%
15 31
 
1.9%
8 31
 
1.9%
11 30
 
1.8%
Other values (216) 1245
75.9%
ValueCountFrequency (%)
0 19
 
1.2%
1 9
 
0.5%
2 38
2.3%
3 63
3.8%
4 45
2.7%
5 29
1.8%
6 45
2.7%
7 34
2.1%
8 31
1.9%
9 37
2.3%
ValueCountFrequency (%)
498 1
0.1%
442 1
0.1%
410 2
0.1%
399 1
0.1%
394 1
0.1%
380 1
0.1%
373 1
0.1%
372 1
0.1%
371 1
0.1%
365 1
0.1%

면적
Real number (ℝ)

Distinct459
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean160.80743
Minimum0
Maximum2926
Zeros14
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size14.6 KiB
2023-12-11T08:46:13.050919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q129
median75
Q3184
95-th percentile593
Maximum2926
Range2926
Interquartile range (IQR)155

Descriptive statistics

Standard deviation247.60292
Coefficient of variation (CV)1.539748
Kurtosis25.203282
Mean160.80743
Median Absolute Deviation (MAD)57
Skewness4.1112845
Sum263885
Variance61307.208
MonotonicityNot monotonic
2023-12-11T08:46:13.225837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 22
 
1.3%
12 20
 
1.2%
13 19
 
1.2%
6 19
 
1.2%
20 18
 
1.1%
8 18
 
1.1%
17 18
 
1.1%
4 17
 
1.0%
22 16
 
1.0%
18 16
 
1.0%
Other values (449) 1458
88.8%
ValueCountFrequency (%)
0 14
0.9%
1 6
 
0.4%
2 8
 
0.5%
3 10
0.6%
4 17
1.0%
5 13
0.8%
6 19
1.2%
7 22
1.3%
8 18
1.1%
9 10
0.6%
ValueCountFrequency (%)
2926 1
0.1%
2394 1
0.1%
2071 1
0.1%
1932 1
0.1%
1834 1
0.1%
1768 1
0.1%
1706 1
0.1%
1613 1
0.1%
1569 1
0.1%
1566 1
0.1%

보도턱_총개수
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1925655
Minimum0
Maximum298
Zeros596
Zeros (%)36.3%
Negative0
Negative (%)0.0%
Memory size14.6 KiB
2023-12-11T08:46:13.354818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile6
Maximum298
Range298
Interquartile range (IQR)2

Descriptive statistics

Standard deviation15.824132
Coefficient of variation (CV)4.9565566
Kurtosis175.5677
Mean3.1925655
Median Absolute Deviation (MAD)1
Skewness11.823041
Sum5239
Variance250.40314
MonotonicityNot monotonic
2023-12-11T08:46:13.483559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 596
36.3%
1 456
27.8%
2 336
20.5%
3 97
 
5.9%
4 44
 
2.7%
6 24
 
1.5%
5 21
 
1.3%
7 15
 
0.9%
8 5
 
0.3%
9 4
 
0.2%
Other values (32) 43
 
2.6%
ValueCountFrequency (%)
0 596
36.3%
1 456
27.8%
2 336
20.5%
3 97
 
5.9%
4 44
 
2.7%
5 21
 
1.3%
6 24
 
1.5%
7 15
 
0.9%
8 5
 
0.3%
9 4
 
0.2%
ValueCountFrequency (%)
298 2
0.1%
155 1
0.1%
152 1
0.1%
145 2
0.1%
143 1
0.1%
138 1
0.1%
109 1
0.1%
98 2
0.1%
96 1
0.1%
89 2
0.1%

보도턱_횡단보도낮추기
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.35100548
Minimum0
Maximum12
Zeros1188
Zeros (%)72.4%
Negative0
Negative (%)0.0%
Memory size14.6 KiB
2023-12-11T08:46:13.590053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum12
Range12
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.71730391
Coefficient of variation (CV)2.043569
Kurtosis51.409568
Mean0.35100548
Median Absolute Deviation (MAD)0
Skewness4.8143795
Sum576
Variance0.5145249
MonotonicityNot monotonic
2023-12-11T08:46:13.711739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 1188
72.4%
1 372
 
22.7%
2 63
 
3.8%
3 10
 
0.6%
5 4
 
0.2%
6 2
 
0.1%
12 1
 
0.1%
4 1
 
0.1%
ValueCountFrequency (%)
0 1188
72.4%
1 372
 
22.7%
2 63
 
3.8%
3 10
 
0.6%
4 1
 
0.1%
5 4
 
0.2%
6 2
 
0.1%
12 1
 
0.1%
ValueCountFrequency (%)
12 1
 
0.1%
6 2
 
0.1%
5 4
 
0.2%
4 1
 
0.1%
3 10
 
0.6%
2 63
 
3.8%
1 372
 
22.7%
0 1188
72.4%

보도턱_보도진입부낮추기
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.94271785
Minimum0
Maximum31
Zeros868
Zeros (%)52.9%
Negative0
Negative (%)0.0%
Memory size14.6 KiB
2023-12-11T08:46:13.811641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum31
Range31
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.7639022
Coefficient of variation (CV)1.8710818
Kurtosis88.816653
Mean0.94271785
Median Absolute Deviation (MAD)0
Skewness6.9444198
Sum1547
Variance3.1113509
MonotonicityNot monotonic
2023-12-11T08:46:14.167492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 868
52.9%
1 406
24.7%
2 226
 
13.8%
3 55
 
3.4%
4 42
 
2.6%
6 15
 
0.9%
5 9
 
0.5%
7 9
 
0.5%
8 4
 
0.2%
13 2
 
0.1%
Other values (4) 5
 
0.3%
ValueCountFrequency (%)
0 868
52.9%
1 406
24.7%
2 226
 
13.8%
3 55
 
3.4%
4 42
 
2.6%
5 9
 
0.5%
6 15
 
0.9%
7 9
 
0.5%
8 4
 
0.2%
12 1
 
0.1%
ValueCountFrequency (%)
31 1
 
0.1%
27 1
 
0.1%
15 2
 
0.1%
13 2
 
0.1%
12 1
 
0.1%
8 4
 
0.2%
7 9
 
0.5%
6 15
 
0.9%
5 9
 
0.5%
4 42
2.6%

자전거전용도로_연장
Real number (ℝ)

ZEROS 

Distinct120
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.130408
Minimum0
Maximum371
Zeros1355
Zeros (%)82.6%
Negative0
Negative (%)0.0%
Memory size14.6 KiB
2023-12-11T08:46:14.322269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile63
Maximum371
Range371
Interquartile range (IQR)0

Descriptive statistics

Standard deviation36.04413
Coefficient of variation (CV)3.5580136
Kurtosis34.014613
Mean10.130408
Median Absolute Deviation (MAD)0
Skewness5.3132888
Sum16624
Variance1299.1793
MonotonicityNot monotonic
2023-12-11T08:46:14.473279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1355
82.6%
15 8
 
0.5%
2 8
 
0.5%
6 8
 
0.5%
9 7
 
0.4%
32 7
 
0.4%
7 7
 
0.4%
4 7
 
0.4%
3 7
 
0.4%
23 6
 
0.4%
Other values (110) 221
 
13.5%
ValueCountFrequency (%)
0 1355
82.6%
1 6
 
0.4%
2 8
 
0.5%
3 7
 
0.4%
4 7
 
0.4%
5 3
 
0.2%
6 8
 
0.5%
7 7
 
0.4%
8 5
 
0.3%
9 7
 
0.4%
ValueCountFrequency (%)
371 1
0.1%
358 1
0.1%
335 1
0.1%
314 1
0.1%
297 1
0.1%
280 1
0.1%
275 1
0.1%
253 1
0.1%
252 1
0.1%
238 1
0.1%

자전거전용도로_폭원
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.41925655
Minimum0
Maximum7
Zeros1352
Zeros (%)82.4%
Negative0
Negative (%)0.0%
Memory size14.6 KiB
2023-12-11T08:46:14.603756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0185929
Coefficient of variation (CV)2.4295216
Kurtosis6.8783804
Mean0.41925655
Median Absolute Deviation (MAD)0
Skewness2.6301021
Sum688
Variance1.0375314
MonotonicityNot monotonic
2023-12-11T08:46:14.712333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 1352
82.4%
2 121
 
7.4%
3 81
 
4.9%
1 57
 
3.5%
5 23
 
1.4%
4 6
 
0.4%
7 1
 
0.1%
ValueCountFrequency (%)
0 1352
82.4%
1 57
 
3.5%
2 121
 
7.4%
3 81
 
4.9%
4 6
 
0.4%
5 23
 
1.4%
7 1
 
0.1%
ValueCountFrequency (%)
7 1
 
0.1%
5 23
 
1.4%
4 6
 
0.4%
3 81
 
4.9%
2 121
 
7.4%
1 57
 
3.5%
0 1352
82.4%

자전거전용도로_면적
Real number (ℝ)

ZEROS 

Distinct167
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.126752
Minimum0
Maximum1190
Zeros1355
Zeros (%)82.6%
Negative0
Negative (%)0.0%
Memory size14.6 KiB
2023-12-11T08:46:14.847656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile139
Maximum1190
Range1190
Interquartile range (IQR)0

Descriptive statistics

Standard deviation91.552023
Coefficient of variation (CV)3.9587065
Kurtosis54.264985
Mean23.126752
Median Absolute Deviation (MAD)0
Skewness6.5999797
Sum37951
Variance8381.7729
MonotonicityNot monotonic
2023-12-11T08:46:15.009586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1355
82.6%
9 6
 
0.4%
2 5
 
0.3%
29 5
 
0.3%
48 5
 
0.3%
102 4
 
0.2%
51 4
 
0.2%
6 4
 
0.2%
24 4
 
0.2%
14 4
 
0.2%
Other values (157) 245
 
14.9%
ValueCountFrequency (%)
0 1355
82.6%
1 3
 
0.2%
2 5
 
0.3%
3 2
 
0.1%
4 3
 
0.2%
5 3
 
0.2%
6 4
 
0.2%
7 1
 
0.1%
9 6
 
0.4%
10 3
 
0.2%
ValueCountFrequency (%)
1190 1
0.1%
1005 1
0.1%
942 1
0.1%
846 1
0.1%
830 1
0.1%
827 1
0.1%
789 1
0.1%
679 1
0.1%
654 1
0.1%
648 1
0.1%

자전거전용도로_재질
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size12.9 KiB
미분류
1349 
투수성콘크리트
141 
소형고압블록
 
108
기타
 
23
투수성아스콘
 
11
Other values (2)
 
9

Length

Max length7
Median length3
Mean length3.5563681
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미분류 1349
82.2%
투수성콘크리트 141
 
8.6%
소형고압블록 108
 
6.6%
기타 23
 
1.4%
투수성아스콘 11
 
0.7%
콘크리트 6
 
0.4%
오너멘트블록 3
 
0.2%

Length

2023-12-11T08:46:15.159066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:46:15.293077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미분류 1349
82.2%
투수성콘크리트 141
 
8.6%
소형고압블록 108
 
6.6%
기타 23
 
1.4%
투수성아스콘 11
 
0.7%
콘크리트 6
 
0.4%
오너멘트블록 3
 
0.2%

보도경계석_재질
Categorical

Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size12.9 KiB
화강석
1106 
콘크리트
274 
현장타설콘크리트
 
101
미분류
 
83
인조화강석
 
73

Length

Max length8
Median length3
Mean length3.5612431
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row화강석
2nd row현장타설콘크리트
3rd row현장타설콘크리트
4th row현장타설콘크리트
5th row화강석

Common Values

ValueCountFrequency (%)
화강석 1106
67.4%
콘크리트 274
 
16.7%
현장타설콘크리트 101
 
6.2%
미분류 83
 
5.1%
인조화강석 73
 
4.4%
기타 4
 
0.2%

Length

2023-12-11T08:46:15.432083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:46:15.555872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
화강석 1106
67.4%
콘크리트 274
 
16.7%
현장타설콘크리트 101
 
6.2%
미분류 83
 
5.1%
인조화강석 73
 
4.4%
기타 4
 
0.2%

보도경계석_연장
Real number (ℝ)

ZEROS 

Distinct222
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.521633
Minimum0
Maximum1075
Zeros88
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size14.6 KiB
2023-12-11T08:46:15.732372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111
median31
Q366
95-th percentile176
Maximum1075
Range1075
Interquartile range (IQR)55

Descriptive statistics

Standard deviation67.74653
Coefficient of variation (CV)1.2898786
Kurtosis37.35064
Mean52.521633
Median Absolute Deviation (MAD)23
Skewness4.1307336
Sum86188
Variance4589.5924
MonotonicityNot monotonic
2023-12-11T08:46:15.900290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 88
 
5.4%
6 49
 
3.0%
10 43
 
2.6%
8 42
 
2.6%
9 39
 
2.4%
7 37
 
2.3%
11 33
 
2.0%
13 30
 
1.8%
5 27
 
1.6%
16 27
 
1.6%
Other values (212) 1226
74.7%
ValueCountFrequency (%)
0 88
5.4%
1 12
 
0.7%
2 13
 
0.8%
3 15
 
0.9%
4 23
 
1.4%
5 27
 
1.6%
6 49
3.0%
7 37
2.3%
8 42
2.6%
9 39
2.4%
ValueCountFrequency (%)
1075 1
0.1%
497 1
0.1%
442 1
0.1%
404 2
0.1%
398 1
0.1%
381 1
0.1%
380 1
0.1%
373 1
0.1%
371 1
0.1%
366 1
0.1%

유도블록종류
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.9 KiB
미분류
1125 
점선혼용블록
256 
선형블록
187 
점자블록
 
72
화강석
 
1

Length

Max length6
Median length3
Mean length3.6258379
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row미분류
2nd row미분류
3rd row미분류
4th row미분류
5th row점자블록

Common Values

ValueCountFrequency (%)
미분류 1125
68.6%
점선혼용블록 256
 
15.6%
선형블록 187
 
11.4%
점자블록 72
 
4.4%
화강석 1
 
0.1%

Length

2023-12-11T08:46:16.058887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:46:16.164209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미분류 1125
68.6%
점선혼용블록 256
 
15.6%
선형블록 187
 
11.4%
점자블록 72
 
4.4%
화강석 1
 
0.1%

유도블록_연장
Real number (ℝ)

ZEROS 

Distinct89
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.8397319
Minimum0
Maximum261
Zeros1135
Zeros (%)69.2%
Negative0
Negative (%)0.0%
Memory size14.6 KiB
2023-12-11T08:46:16.287655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile38
Maximum261
Range261
Interquartile range (IQR)3

Descriptive statistics

Standard deviation22.062451
Coefficient of variation (CV)3.225631
Kurtosis39.58964
Mean6.8397319
Median Absolute Deviation (MAD)0
Skewness5.6846333
Sum11224
Variance486.75174
MonotonicityNot monotonic
2023-12-11T08:46:16.421387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1135
69.2%
1 51
 
3.1%
4 37
 
2.3%
2 37
 
2.3%
5 26
 
1.6%
6 24
 
1.5%
7 22
 
1.3%
10 22
 
1.3%
9 18
 
1.1%
12 16
 
1.0%
Other values (79) 253
 
15.4%
ValueCountFrequency (%)
0 1135
69.2%
1 51
 
3.1%
2 37
 
2.3%
3 14
 
0.9%
4 37
 
2.3%
5 26
 
1.6%
6 24
 
1.5%
7 22
 
1.3%
8 15
 
0.9%
9 18
 
1.1%
ValueCountFrequency (%)
261 1
0.1%
218 1
0.1%
197 1
0.1%
190 1
0.1%
187 1
0.1%
175 1
0.1%
168 1
0.1%
161 2
0.1%
151 1
0.1%
145 1
0.1%

유도블록_면적
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.936624
Minimum0
Maximum78
Zeros1212
Zeros (%)73.9%
Negative0
Negative (%)0.0%
Memory size14.6 KiB
2023-12-11T08:46:16.549773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile10
Maximum78
Range78
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.4259102
Coefficient of variation (CV)3.318099
Kurtosis43.407631
Mean1.936624
Median Absolute Deviation (MAD)0
Skewness5.9339456
Sum3178
Variance41.292322
MonotonicityNot monotonic
2023-12-11T08:46:16.672202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 1212
73.9%
1 82
 
5.0%
2 68
 
4.1%
3 65
 
4.0%
4 53
 
3.2%
5 27
 
1.6%
6 16
 
1.0%
8 16
 
1.0%
7 15
 
0.9%
14 7
 
0.4%
Other values (38) 80
 
4.9%
ValueCountFrequency (%)
0 1212
73.9%
1 82
 
5.0%
2 68
 
4.1%
3 65
 
4.0%
4 53
 
3.2%
5 27
 
1.6%
6 16
 
1.0%
7 15
 
0.9%
8 16
 
1.0%
9 3
 
0.2%
ValueCountFrequency (%)
78 1
 
0.1%
65 1
 
0.1%
59 1
 
0.1%
57 1
 
0.1%
56 1
 
0.1%
53 1
 
0.1%
50 3
0.2%
48 1
 
0.1%
45 1
 
0.1%
43 1
 
0.1%

보도재질
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size12.9 KiB
소형고압블록
1342 
일반사각블록
 
94
아스콘
 
71
투수성콘크리트
 
47
미분류
 
36
Other values (3)
 
51

Length

Max length7
Median length6
Mean length5.7964656
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row투수성콘크리트
2nd row소형고압블록
3rd row소형고압블록
4th row소형고압블록
5th row소형고압블록

Common Values

ValueCountFrequency (%)
소형고압블록 1342
81.8%
일반사각블록 94
 
5.7%
아스콘 71
 
4.3%
투수성콘크리트 47
 
2.9%
미분류 36
 
2.2%
투수성아스콘 25
 
1.5%
콘크리트 22
 
1.3%
기타 4
 
0.2%

Length

2023-12-11T08:46:16.809530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:46:16.911448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소형고압블록 1342
81.8%
일반사각블록 94
 
5.7%
아스콘 71
 
4.3%
투수성콘크리트 47
 
2.9%
미분류 36
 
2.2%
투수성아스콘 25
 
1.5%
콘크리트 22
 
1.3%
기타 4
 
0.2%

Sample

구분지형지물부호도로면관리번호행정읍면동관리기관보도관리자위치구분폭원연장면적보도턱_총개수보도턱_횡단보도낮추기보도턱_보도진입부낮추기자전거전용도로_연장자전거전용도로_폭원자전거전용도로_면적자전거전용도로_재질보도경계석_재질보도경계석_연장유도블록종류유도블록_연장유도블록_면적보도재질
00보도면290013내일동밀양시밀양시 건설과우32264000000미분류화강석28미분류00투수성콘크리트
11보도면290032내일동밀양시밀양시 건설과우23357101000미분류현장타설콘크리트37미분류00소형고압블록
22보도면290033내일동밀양시밀양시 건설과좌1171101000미분류현장타설콘크리트2미분류00소형고압블록
33보도면290034내일동밀양시밀양시 건설과좌11725000000미분류현장타설콘크리트18미분류00소형고압블록
44보도면290064내일동밀양시밀양시 건설과우161107202000미분류화강석64점자블록21소형고압블록
55보도면290309내일동밀양시밀양시 건설과우2153309312000미분류화강석158선형블록93소형고압블록
66보도면290061내일동밀양시밀양시 건설과우2511101000미분류화강석9점자블록10소형고압블록
77보도면290062내일동밀양시밀양시 건설과우31961110000미분류화강석19선형블록62소형고압블록
88보도면290063내일동밀양시밀양시 건설과우22343101000미분류화강석24점자블록10소형고압블록
99보도면290096내일동밀양시밀양시 건설과좌2714000000미분류화강석9미분류00일반사각블록
구분지형지물부호도로면관리번호행정읍면동관리기관보도관리자위치구분폭원연장면적보도턱_총개수보도턱_횡단보도낮추기보도턱_보도진입부낮추기자전거전용도로_연장자전거전용도로_폭원자전거전용도로_면적자전거전용도로_재질보도경계석_재질보도경계석_연장유도블록종류유도블록_연장유도블록_면적보도재질
16311631보도면170036삼랑진읍밀양시<NA>좌5229310120350콘크리트화강석29점선혼용블록243소형고압블록
16321632보도면170038삼랑진읍밀양시<NA>좌5167010115338콘크리트화강석24점선혼용블록182소형고압블록
16331633보도면170052삼문동밀양시<NA>좌235000000미분류화강석4미분류00소형고압블록
16341634보도면170053삼문동밀양시<NA>좌263140110000미분류화강석67미분류00소형고압블록
16351635보도면170067삼문동밀양시<NA>우23058110000미분류화강석32미분류00소형고압블록
16361636보도면170068삼문동밀양시<NA>우21324000000미분류화강석14미분류00소형고압블록
16371637보도면170070삼문동밀양시<NA>좌27036101000미분류화강석37미분류00소형고압블록
16381638보도면170072삼문동밀양시<NA>좌220693000000미분류화강석95미분류00소형고압블록
16391639보도면169901삼문동밀양시<NA>우2143315000000미분류화강석143미분류00소형고압블록
16401640보도면169902삼문동밀양시<NA>우143110000미분류화강석4미분류00소형고압블록