Overview

Dataset statistics

Number of variables56
Number of observations952
Missing cells24539
Missing cells (%)46.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory464.0 KiB
Average record size in memory499.1 B

Variable types

Numeric34
Categorical18
Text3
DateTime1

Dataset

Description성남시 내의 교통신호기에 대한 데이터이며, 위치, 종류, 보행등 잔여시간, 등의 형태, 재질 등의 자료를 포함하고 있습니다.
URLhttps://www.data.go.kr/data/15054833/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
교통제어기 종류_표준 is highly imbalanced (63.2%)Imbalance
교통제어기종류_일반 is highly imbalanced (75.5%)Imbalance
보조등_2색 is highly imbalanced (81.6%)Imbalance
보행자작동(SW_일반) is highly imbalanced (90.4%)Imbalance
보행자작동 (SW_LED) is highly imbalanced (91.5%)Imbalance
(LED)전광판 is highly imbalanced (89.0%)Imbalance
경광등 is highly imbalanced (79.8%)Imbalance
신호등철주(300A_도금) is highly imbalanced (88.8%)Imbalance
신호등철주(300A_흑관) is highly imbalanced (92.4%)Imbalance
신호등철주(300A_분체) is highly imbalanced (87.2%)Imbalance
부착대(13m_도금) is highly imbalanced (90.8%)Imbalance
부착대(13m_흑관) is highly imbalanced (89.6%)Imbalance
부착대(13m_분체) is highly imbalanced (85.1%)Imbalance
부착대(11m_흑관) is highly imbalanced (90.0%)Imbalance
보행철주_125_6_도금 is highly imbalanced (80.9%)Imbalance
보행철주_125_6_흑관 is highly imbalanced (91.4%)Imbalance
보행철주_125_6_분체 is highly imbalanced (82.2%)Imbalance
설치주소(계량기) has 202 (21.2%) missing valuesMissing
슬립 has 623 (65.4%) missing valuesMissing
경보제어기 has 677 (71.1%) missing valuesMissing
차량등_4색 has 477 (50.1%) missing valuesMissing
차량등_3색 has 505 (53.0%) missing valuesMissing
보조등_3색 has 850 (89.3%) missing valuesMissing
경보등_3색 has 726 (76.3%) missing valuesMissing
경보등_2색 has 875 (91.9%) missing valuesMissing
보행등_2색 has 346 (36.3%) missing valuesMissing
보행등_음향신호기 has 650 (68.3%) missing valuesMissing
보행등_잔여시간_도량형 has 787 (82.7%) missing valuesMissing
보행등_잔여시간_숫자형 has 634 (66.6%) missing valuesMissing
보행자보호등(LED) has 574 (60.3%) missing valuesMissing
보행자보호등(250W MH NA) has 905 (95.1%) missing valuesMissing
신호등철주(250A_도금) has 821 (86.2%) missing valuesMissing
신호등철주(250A_흑관) has 827 (86.9%) missing valuesMissing
신호등철주(250A_분체) has 693 (72.8%) missing valuesMissing
신호등철주(200A_도금) has 553 (58.1%) missing valuesMissing
신호등철주(200A_흑관) has 810 (85.1%) missing valuesMissing
신호등철주(200A_분체) has 820 (86.1%) missing valuesMissing
부착대(11m_도금) has 877 (92.1%) missing valuesMissing
부착대(11m_분체) has 850 (89.3%) missing valuesMissing
부착대(9m_도금) has 758 (79.6%) missing valuesMissing
부착대(9m_흑관) has 845 (88.8%) missing valuesMissing
부착대(9m_분체) has 803 (84.3%) missing valuesMissing
부착대(7m_도금) has 648 (68.1%) missing valuesMissing
부착대(7m_흑관) has 815 (85.6%) missing valuesMissing
부착대(7m_분체) has 743 (78.0%) missing valuesMissing
부착대(5m_도금) has 774 (81.3%) missing valuesMissing
부착대(5m_흑관) has 873 (91.7%) missing valuesMissing
부착대(5m_분체) has 795 (83.5%) missing valuesMissing
보행철주_125_4_도금 has 713 (74.9%) missing valuesMissing
보행철주_125_4_흑관 has 840 (88.2%) missing valuesMissing
보행철주_125_4_분체 has 849 (89.2%) missing valuesMissing
연번 has unique valuesUnique
경보제어기 has 12 (1.3%) zerosZeros
보조등_3색 has 13 (1.4%) zerosZeros
경보등_3색 has 11 (1.2%) zerosZeros
경보등_2색 has 10 (1.1%) zerosZeros
보행등_음향신호기 has 10 (1.1%) zerosZeros
보행자보호등(250W MH NA) has 13 (1.4%) zerosZeros
신호등철주(250A_도금) has 12 (1.3%) zerosZeros
신호등철주(250A_분체) has 13 (1.4%) zerosZeros
신호등철주(200A_분체) has 13 (1.4%) zerosZeros
부착대(11m_도금) has 13 (1.4%) zerosZeros
부착대(11m_분체) has 13 (1.4%) zerosZeros
부착대(9m_분체) has 13 (1.4%) zerosZeros
부착대(7m_분체) has 13 (1.4%) zerosZeros
부착대(5m_분체) has 13 (1.4%) zerosZeros
보행철주_125_4_흑관 has 10 (1.1%) zerosZeros
보행철주_125_4_분체 has 12 (1.3%) zerosZeros

Reproduction

Analysis started2023-12-12 22:26:18.028776
Analysis finished2023-12-12 22:26:18.948747
Duration0.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct952
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean476.5
Minimum1
Maximum952
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2023-12-13T07:26:19.032439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile48.55
Q1238.75
median476.5
Q3714.25
95-th percentile904.45
Maximum952
Range951
Interquartile range (IQR)475.5

Descriptive statistics

Standard deviation274.96303
Coefficient of variation (CV)0.57704728
Kurtosis-1.2
Mean476.5
Median Absolute Deviation (MAD)238
Skewness0
Sum453628
Variance75604.667
MonotonicityStrictly increasing
2023-12-13T07:26:19.161698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
641 1
 
0.1%
629 1
 
0.1%
630 1
 
0.1%
631 1
 
0.1%
632 1
 
0.1%
633 1
 
0.1%
634 1
 
0.1%
635 1
 
0.1%
636 1
 
0.1%
Other values (942) 942
98.9%
ValueCountFrequency (%)
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%
10 1
0.1%
ValueCountFrequency (%)
952 1
0.1%
951 1
0.1%
950 1
0.1%
949 1
0.1%
948 1
0.1%
947 1
0.1%
946 1
0.1%
945 1
0.1%
944 1
0.1%
943 1
0.1%

구별
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
분당구
499 
중원구
232 
수정구
221 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
분당구 499
52.4%
중원구 232
24.4%
수정구 221
23.2%

Length

2023-12-13T07:26:19.265851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:26:19.378376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
분당구 499
52.4%
중원구 232
24.4%
수정구 221
23.2%

도로명 또는 위치
Text

Distinct75
Distinct (%)7.9%
Missing1
Missing (%)0.1%
Memory size7.6 KiB
2023-12-13T07:26:19.570690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length3
Mean length4.1461619
Min length2

Characters and Unicode

Total characters3943
Distinct characters115
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)1.2%

Sample

1st row성남대로
2nd row성남대로
3rd row성남대로
4th row성남대로
5th row성남대로
ValueCountFrequency (%)
기타(경보등 143
 
14.5%
동판교 82
 
8.3%
서판교 78
 
7.9%
기타(경광등 30
 
3.0%
수정로 29
 
2.9%
성남대로 27
 
2.7%
기타 26
 
2.6%
산성대로 22
 
2.2%
23호 21
 
2.1%
국지도 21
 
2.1%
Other values (67) 506
51.4%
2023-12-13T07:26:19.905260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 509
 
12.9%
기 203
 
5.1%
타 199
 
5.0%
판 193
 
4.9%
교 193
 
4.9%
등 179
 
4.5%
경 175
 
4.4%
( 173
 
4.4%
) 173
 
4.4%
보 145
 
3.7%
Other values (105) 1801
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3516
89.2%
Open Punctuation 173
 
4.4%
Close Punctuation 173
 
4.4%
Decimal Number 47
 
1.2%
Space Separator 34
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 509
 
14.5%
기 203
 
5.8%
타 199
 
5.7%
판 193
 
5.5%
교 193
 
5.5%
등 179
 
5.1%
경 175
 
5.0%
보 145
 
4.1%
대 117
 
3.3%
동 110
 
3.1%
Other values (97) 1493
42.5%
Decimal Number
ValueCountFrequency (%)
2 22
46.8%
3 21
44.7%
1 2
 
4.3%
6 1
 
2.1%
4 1
 
2.1%
Open Punctuation
ValueCountFrequency (%)
( 173
100.0%
Close Punctuation
ValueCountFrequency (%)
) 173
100.0%
Space Separator
ValueCountFrequency (%)
34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3516
89.2%
Common 427
 
10.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 509
 
14.5%
기 203
 
5.8%
타 199
 
5.7%
판 193
 
5.5%
교 193
 
5.5%
등 179
 
5.1%
경 175
 
5.0%
보 145
 
4.1%
대 117
 
3.3%
동 110
 
3.1%
Other values (97) 1493
42.5%
Common
ValueCountFrequency (%)
( 173
40.5%
) 173
40.5%
34
 
8.0%
2 22
 
5.2%
3 21
 
4.9%
1 2
 
0.5%
6 1
 
0.2%
4 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3516
89.2%
ASCII 427
 
10.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 509
 
14.5%
기 203
 
5.8%
타 199
 
5.7%
판 193
 
5.5%
교 193
 
5.5%
등 179
 
5.1%
경 175
 
5.0%
보 145
 
4.1%
대 117
 
3.3%
동 110
 
3.1%
Other values (97) 1493
42.5%
ASCII
ValueCountFrequency (%)
( 173
40.5%
) 173
40.5%
34
 
8.0%
2 22
 
5.2%
3 21
 
4.9%
1 2
 
0.5%
6 1
 
0.2%
4 1
 
0.2%

교차로 명칭
Text

Distinct945
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
2023-12-13T07:26:20.159219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length7.8287815
Min length3

Characters and Unicode

Total characters7453
Distinct characters399
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique938 ?
Unique (%)98.5%

Sample

1st row모란고개
2nd row태평역사거리
3rd row수정경찰서앞
4th row태평고개사거리
5th row구)성남병원
ValueCountFrequency (%)
삼거리 88
 
6.1%
사거리 77
 
5.3%
앞 42
 
2.9%
단일로 40
 
2.8%
입구 19
 
1.3%
정문 13
 
0.9%
교통신호등 13
 
0.9%
원마을 13
 
0.9%
후문 11
 
0.8%
판교로 9
 
0.6%
Other values (964) 1118
77.5%
2023-12-13T07:26:20.508200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
491
 
6.6%
리 398
 
5.3%
거 369
 
5.0%
사 231
 
3.1%
교 213
 
2.9%
삼 177
 
2.4%
로 159
 
2.1%
) 140
 
1.9%
앞 132
 
1.8%
단 131
 
1.8%
Other values (389) 5012
67.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6289
84.4%
Space Separator 491
 
6.6%
Decimal Number 286
 
3.8%
Close Punctuation 140
 
1.9%
Open Punctuation 131
 
1.8%
Uppercase Letter 72
 
1.0%
Other Punctuation 33
 
0.4%
Dash Punctuation 9
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 398
 
6.3%
거 369
 
5.9%
사 231
 
3.7%
교 213
 
3.4%
삼 177
 
2.8%
로 159
 
2.5%
앞 132
 
2.1%
단 131
 
2.1%
원 120
 
1.9%
구 107
 
1.7%
Other values (351) 4252
67.6%
Uppercase Letter
ValueCountFrequency (%)
C 13
18.1%
I 10
13.9%
P 8
11.1%
A 6
8.3%
G 5
 
6.9%
B 5
 
6.9%
L 5
 
6.9%
S 4
 
5.6%
T 3
 
4.2%
K 2
 
2.8%
Other values (8) 11
15.3%
Decimal Number
ValueCountFrequency (%)
1 73
25.5%
2 49
17.1%
3 37
12.9%
4 29
 
10.1%
5 20
 
7.0%
0 18
 
6.3%
6 18
 
6.3%
7 16
 
5.6%
9 13
 
4.5%
8 13
 
4.5%
Other Punctuation
ValueCountFrequency (%)
. 16
48.5%
# 13
39.4%
/ 3
 
9.1%
, 1
 
3.0%
Lowercase Letter
ValueCountFrequency (%)
i 1
50.0%
c 1
50.0%
Space Separator
ValueCountFrequency (%)
491
100.0%
Close Punctuation
ValueCountFrequency (%)
) 140
100.0%
Open Punctuation
ValueCountFrequency (%)
( 131
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6289
84.4%
Common 1090
 
14.6%
Latin 74
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 398
 
6.3%
거 369
 
5.9%
사 231
 
3.7%
교 213
 
3.4%
삼 177
 
2.8%
로 159
 
2.5%
앞 132
 
2.1%
단 131
 
2.1%
원 120
 
1.9%
구 107
 
1.7%
Other values (351) 4252
67.6%
Latin
ValueCountFrequency (%)
C 13
17.6%
I 10
13.5%
P 8
10.8%
A 6
8.1%
G 5
 
6.8%
B 5
 
6.8%
L 5
 
6.8%
S 4
 
5.4%
T 3
 
4.1%
K 2
 
2.7%
Other values (10) 13
17.6%
Common
ValueCountFrequency (%)
491
45.0%
) 140
 
12.8%
( 131
 
12.0%
1 73
 
6.7%
2 49
 
4.5%
3 37
 
3.4%
4 29
 
2.7%
5 20
 
1.8%
0 18
 
1.7%
6 18
 
1.7%
Other values (8) 84
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6289
84.4%
ASCII 1164
 
15.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
491
42.2%
) 140
 
12.0%
( 131
 
11.3%
1 73
 
6.3%
2 49
 
4.2%
3 37
 
3.2%
4 29
 
2.5%
5 20
 
1.7%
0 18
 
1.5%
6 18
 
1.5%
Other values (28) 158
 
13.6%
Hangul
ValueCountFrequency (%)
리 398
 
6.3%
거 369
 
5.9%
사 231
 
3.7%
교 213
 
3.4%
삼 177
 
2.8%
로 159
 
2.5%
앞 132
 
2.1%
단 131
 
2.1%
원 120
 
1.9%
구 107
 
1.7%
Other values (351) 4252
67.6%

설치주소(계량기)
Text

MISSING 

Distinct670
Distinct (%)89.3%
Missing202
Missing (%)21.2%
Memory size7.6 KiB
2023-12-13T07:26:20.796167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length7.8253333
Min length3

Characters and Unicode

Total characters5869
Distinct characters92
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique612 ?
Unique (%)81.6%

Sample

1st row수진동4587
2nd row수진동4538
3rd row태평동6812
4th row태평동6795
5th row태평동7138
ValueCountFrequency (%)
야탑동 49
 
3.6%
서현동 48
 
3.5%
구미동 45
 
3.3%
상대원동 43
 
3.1%
정자동 42
 
3.0%
금광동 30
 
2.2%
삼평동 29
 
2.1%
성남동 29
 
2.1%
수내동 26
 
1.9%
도촌동 21
 
1.5%
Other values (660) 1017
73.7%
2023-12-13T07:26:21.231149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 743
 
12.7%
632
 
10.8%
1 481
 
8.2%
2 402
 
6.8%
3 271
 
4.6%
- 225
 
3.8%
5 213
 
3.6%
4 210
 
3.6%
6 201
 
3.4%
9 198
 
3.4%
Other values (82) 2293
39.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2510
42.8%
Decimal Number 2499
42.6%
Space Separator 632
 
10.8%
Dash Punctuation 225
 
3.8%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 743
29.6%
대 93
 
3.7%
원 83
 
3.3%
평 79
 
3.1%
금 69
 
2.7%
정 69
 
2.7%
구 61
 
2.4%
성 60
 
2.4%
현 59
 
2.4%
상 57
 
2.3%
Other values (69) 1137
45.3%
Decimal Number
ValueCountFrequency (%)
1 481
19.2%
2 402
16.1%
3 271
10.8%
5 213
8.5%
4 210
8.4%
6 201
8.0%
9 198
7.9%
0 184
 
7.4%
7 172
 
6.9%
8 167
 
6.7%
Space Separator
ValueCountFrequency (%)
632
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 225
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3359
57.2%
Hangul 2510
42.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 743
29.6%
대 93
 
3.7%
원 83
 
3.3%
평 79
 
3.1%
금 69
 
2.7%
정 69
 
2.7%
구 61
 
2.4%
성 60
 
2.4%
현 59
 
2.4%
상 57
 
2.3%
Other values (69) 1137
45.3%
Common
ValueCountFrequency (%)
632
18.8%
1 481
14.3%
2 402
12.0%
3 271
8.1%
- 225
 
6.7%
5 213
 
6.3%
4 210
 
6.3%
6 201
 
6.0%
9 198
 
5.9%
0 184
 
5.5%
Other values (3) 342
10.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3359
57.2%
Hangul 2510
42.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 743
29.6%
대 93
 
3.7%
원 83
 
3.3%
평 79
 
3.1%
금 69
 
2.7%
정 69
 
2.7%
구 61
 
2.4%
성 60
 
2.4%
현 59
 
2.4%
상 57
 
2.3%
Other values (69) 1137
45.3%
ASCII
ValueCountFrequency (%)
632
18.8%
1 481
14.3%
2 402
12.0%
3 271
8.1%
- 225
 
6.7%
5 213
 
6.3%
4 210
 
6.3%
6 201
 
6.0%
9 198
 
5.9%
0 184
 
5.5%
Other values (3) 342
10.2%

교통제어기 종류_표준
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
<NA>
732 
1
210 
0
 
7
5
 
2
3
 
1

Length

Max length4
Median length4
Mean length3.3067227
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 732
76.9%
1 210
 
22.1%
0 7
 
0.7%
5 2
 
0.2%
3 1
 
0.1%

Length

2023-12-13T07:26:21.354698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:26:21.441110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 732
76.9%
1 210
 
22.1%
0 7
 
0.7%
5 2
 
0.2%
3 1
 
0.1%

교통제어기종류_일반
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
<NA>
824 
1
119 
0
 
5
5
 
2
8
 
1

Length

Max length4
Median length4
Mean length3.5966387
Min length1

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 824
86.6%
1 119
 
12.5%
0 5
 
0.5%
5 2
 
0.2%
8 1
 
0.1%
2 1
 
0.1%

Length

2023-12-13T07:26:21.528444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:26:21.612061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 824
86.6%
1 119
 
12.5%
0 5
 
0.5%
5 2
 
0.2%
8 1
 
0.1%
2 1
 
0.1%

슬립
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)1.8%
Missing623
Missing (%)65.4%
Infinite0
Infinite (%)0.0%
Mean1.0303951
Minimum0
Maximum8
Zeros6
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2023-12-13T07:26:21.691316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.51114425
Coefficient of variation (CV)0.49606625
Kurtosis133.122
Mean1.0303951
Median Absolute Deviation (MAD)0
Skewness10.661715
Sum339
Variance0.26126844
MonotonicityNot monotonic
2023-12-13T07:26:21.777051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 318
33.4%
0 6
 
0.6%
2 2
 
0.2%
8 1
 
0.1%
3 1
 
0.1%
6 1
 
0.1%
(Missing) 623
65.4%
ValueCountFrequency (%)
0 6
 
0.6%
1 318
33.4%
2 2
 
0.2%
3 1
 
0.1%
6 1
 
0.1%
8 1
 
0.1%
ValueCountFrequency (%)
8 1
 
0.1%
6 1
 
0.1%
3 1
 
0.1%
2 2
 
0.2%
1 318
33.4%
0 6
 
0.6%

경보제어기
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)2.2%
Missing677
Missing (%)71.1%
Infinite0
Infinite (%)0.0%
Mean1.1309091
Minimum0
Maximum7
Zeros12
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2023-12-13T07:26:21.857496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.59587166
Coefficient of variation (CV)0.52689617
Kurtosis36.305295
Mean1.1309091
Median Absolute Deviation (MAD)0
Skewness4.3297913
Sum311
Variance0.35506304
MonotonicityNot monotonic
2023-12-13T07:26:21.935122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 225
 
23.6%
2 33
 
3.5%
0 12
 
1.3%
3 3
 
0.3%
7 1
 
0.1%
4 1
 
0.1%
(Missing) 677
71.1%
ValueCountFrequency (%)
0 12
 
1.3%
1 225
23.6%
2 33
 
3.5%
3 3
 
0.3%
4 1
 
0.1%
7 1
 
0.1%
ValueCountFrequency (%)
7 1
 
0.1%
4 1
 
0.1%
3 3
 
0.3%
2 33
 
3.5%
1 225
23.6%
0 12
 
1.3%

차량등_4색
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)5.1%
Missing477
Missing (%)50.1%
Infinite0
Infinite (%)0.0%
Mean7.9178947
Minimum0
Maximum82
Zeros4
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2023-12-13T07:26:22.022646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median8
Q312
95-th percentile16
Maximum82
Range82
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.6693768
Coefficient of variation (CV)0.84231693
Kurtosis51.976601
Mean7.9178947
Median Absolute Deviation (MAD)4
Skewness5.1675281
Sum3761
Variance44.480586
MonotonicityNot monotonic
2023-12-13T07:26:22.126799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
3 85
 
8.9%
12 76
 
8.0%
2 59
 
6.2%
10 45
 
4.7%
8 37
 
3.9%
4 26
 
2.7%
6 24
 
2.5%
5 22
 
2.3%
16 22
 
2.3%
11 13
 
1.4%
Other values (14) 66
 
6.9%
(Missing) 477
50.1%
ValueCountFrequency (%)
0 4
 
0.4%
1 7
 
0.7%
2 59
6.2%
3 85
8.9%
4 26
 
2.7%
5 22
 
2.3%
6 24
 
2.5%
7 9
 
0.9%
8 37
3.9%
9 9
 
0.9%
ValueCountFrequency (%)
82 1
 
0.1%
75 1
 
0.1%
21 1
 
0.1%
20 6
 
0.6%
19 2
 
0.2%
18 4
 
0.4%
17 3
 
0.3%
16 22
2.3%
15 6
 
0.6%
14 8
 
0.8%

차량등_3색
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)4.9%
Missing505
Missing (%)53.0%
Infinite0
Infinite (%)0.0%
Mean5.7114094
Minimum0
Maximum60
Zeros3
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2023-12-13T07:26:22.230470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median5
Q36
95-th percentile11
Maximum60
Range60
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.4930868
Coefficient of variation (CV)0.78668618
Kurtosis71.3249
Mean5.7114094
Median Absolute Deviation (MAD)1
Skewness7.0270374
Sum2553
Variance20.187829
MonotonicityNot monotonic
2023-12-13T07:26:22.319336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
4 118
 
12.4%
6 81
 
8.5%
5 76
 
8.0%
7 35
 
3.7%
2 31
 
3.3%
3 27
 
2.8%
8 26
 
2.7%
10 12
 
1.3%
12 8
 
0.8%
9 7
 
0.7%
Other values (12) 26
 
2.7%
(Missing) 505
53.0%
ValueCountFrequency (%)
0 3
 
0.3%
1 7
 
0.7%
2 31
 
3.3%
3 27
 
2.8%
4 118
12.4%
5 76
8.0%
6 81
8.5%
7 35
 
3.7%
8 26
 
2.7%
9 7
 
0.7%
ValueCountFrequency (%)
60 1
 
0.1%
50 1
 
0.1%
31 1
 
0.1%
28 1
 
0.1%
21 1
 
0.1%
18 1
 
0.1%
16 1
 
0.1%
15 1
 
0.1%
14 2
 
0.2%
12 8
0.8%

보조등_3색
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)5.9%
Missing850
Missing (%)89.3%
Infinite0
Infinite (%)0.0%
Mean1.7745098
Minimum0
Maximum6
Zeros13
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2023-12-13T07:26:22.402962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q32
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1596078
Coefficient of variation (CV)0.65348066
Kurtosis0.86907297
Mean1.7745098
Median Absolute Deviation (MAD)1
Skewness0.64793882
Sum181
Variance1.3446904
MonotonicityNot monotonic
2023-12-13T07:26:22.478570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 39
 
4.1%
1 29
 
3.0%
0 13
 
1.4%
3 12
 
1.3%
4 8
 
0.8%
6 1
 
0.1%
(Missing) 850
89.3%
ValueCountFrequency (%)
0 13
 
1.4%
1 29
3.0%
2 39
4.1%
3 12
 
1.3%
4 8
 
0.8%
6 1
 
0.1%
ValueCountFrequency (%)
6 1
 
0.1%
4 8
 
0.8%
3 12
 
1.3%
2 39
4.1%
1 29
3.0%
0 13
 
1.4%

보조등_2색
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
<NA>
887 
1
 
34
2
 
15
0
 
13
3
 
2

Length

Max length4
Median length4
Mean length3.7962185
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row1
2nd row3
3rd row<NA>
4th row2
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 887
93.2%
1 34
 
3.6%
2 15
 
1.6%
0 13
 
1.4%
3 2
 
0.2%
20 1
 
0.1%

Length

2023-12-13T07:26:22.571128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:26:22.649093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 887
93.2%
1 34
 
3.6%
2 15
 
1.6%
0 13
 
1.4%
3 2
 
0.2%
20 1
 
0.1%

경보등_3색
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)5.8%
Missing726
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean4.1460177
Minimum0
Maximum18
Zeros11
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2023-12-13T07:26:22.722628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median4
Q35
95-th percentile8
Maximum18
Range18
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.3037953
Coefficient of variation (CV)0.55566462
Kurtosis6.0134219
Mean4.1460177
Median Absolute Deviation (MAD)1
Skewness1.4768875
Sum937
Variance5.307473
MonotonicityNot monotonic
2023-12-13T07:26:22.802790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
4 95
 
10.0%
2 42
 
4.4%
6 32
 
3.4%
3 16
 
1.7%
8 14
 
1.5%
0 11
 
1.2%
5 5
 
0.5%
10 2
 
0.2%
1 2
 
0.2%
7 2
 
0.2%
Other values (3) 5
 
0.5%
(Missing) 726
76.3%
ValueCountFrequency (%)
0 11
 
1.2%
1 2
 
0.2%
2 42
4.4%
3 16
 
1.7%
4 95
10.0%
5 5
 
0.5%
6 32
 
3.4%
7 2
 
0.2%
8 14
 
1.5%
9 2
 
0.2%
ValueCountFrequency (%)
18 1
 
0.1%
12 2
 
0.2%
10 2
 
0.2%
9 2
 
0.2%
8 14
 
1.5%
7 2
 
0.2%
6 32
 
3.4%
5 5
 
0.5%
4 95
10.0%
3 16
 
1.7%

경보등_2색
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)11.7%
Missing875
Missing (%)91.9%
Infinite0
Infinite (%)0.0%
Mean3.7922078
Minimum0
Maximum10
Zeros10
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2023-12-13T07:26:22.888174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q36
95-th percentile8
Maximum10
Range10
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.4134364
Coefficient of variation (CV)0.63641988
Kurtosis-0.45294897
Mean3.7922078
Median Absolute Deviation (MAD)2
Skewness0.22740726
Sum292
Variance5.8246753
MonotonicityNot monotonic
2023-12-13T07:26:22.967300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
4 24
 
2.5%
2 15
 
1.6%
6 14
 
1.5%
0 10
 
1.1%
8 7
 
0.7%
3 3
 
0.3%
1 2
 
0.2%
10 1
 
0.1%
5 1
 
0.1%
(Missing) 875
91.9%
ValueCountFrequency (%)
0 10
1.1%
1 2
 
0.2%
2 15
1.6%
3 3
 
0.3%
4 24
2.5%
5 1
 
0.1%
6 14
1.5%
8 7
 
0.7%
10 1
 
0.1%
ValueCountFrequency (%)
10 1
 
0.1%
8 7
 
0.7%
6 14
1.5%
5 1
 
0.1%
4 24
2.5%
3 3
 
0.3%
2 15
1.6%
1 2
 
0.2%
0 10
1.1%

보행등_2색
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)2.1%
Missing346
Missing (%)36.3%
Infinite0
Infinite (%)0.0%
Mean5.2227723
Minimum2
Maximum84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2023-12-13T07:26:23.048919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median4
Q38
95-th percentile10
Maximum84
Range82
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.1040295
Coefficient of variation (CV)0.97726441
Kurtosis141.02283
Mean5.2227723
Median Absolute Deviation (MAD)2
Skewness9.9222941
Sum3165
Variance26.051117
MonotonicityNot monotonic
2023-12-13T07:26:23.128555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2 212
22.3%
8 148
15.5%
4 118
 
12.4%
6 93
 
9.8%
12 13
 
1.4%
10 12
 
1.3%
16 3
 
0.3%
5 2
 
0.2%
3 1
 
0.1%
72 1
 
0.1%
Other values (3) 3
 
0.3%
(Missing) 346
36.3%
ValueCountFrequency (%)
2 212
22.3%
3 1
 
0.1%
4 118
12.4%
5 2
 
0.2%
6 93
9.8%
8 148
15.5%
10 12
 
1.3%
12 13
 
1.4%
14 1
 
0.1%
16 3
 
0.3%
ValueCountFrequency (%)
84 1
 
0.1%
72 1
 
0.1%
20 1
 
0.1%
16 3
 
0.3%
14 1
 
0.1%
12 13
 
1.4%
10 12
 
1.3%
8 148
15.5%
6 93
9.8%
5 2
 
0.2%

보행등_음향신호기
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)3.6%
Missing650
Missing (%)68.3%
Infinite0
Infinite (%)0.0%
Mean4.397351
Minimum0
Maximum26
Zeros10
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2023-12-13T07:26:23.214334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q12
median4
Q36
95-th percentile8
Maximum26
Range26
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.8473441
Coefficient of variation (CV)0.64751349
Kurtosis9.427223
Mean4.397351
Median Absolute Deviation (MAD)2
Skewness1.6733384
Sum1328
Variance8.1073684
MonotonicityNot monotonic
2023-12-13T07:26:23.304525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2 117
 
12.3%
8 68
 
7.1%
4 56
 
5.9%
6 44
 
4.6%
0 10
 
1.1%
5 2
 
0.2%
1 1
 
0.1%
12 1
 
0.1%
3 1
 
0.1%
26 1
 
0.1%
(Missing) 650
68.3%
ValueCountFrequency (%)
0 10
 
1.1%
1 1
 
0.1%
2 117
12.3%
3 1
 
0.1%
4 56
5.9%
5 2
 
0.2%
6 44
 
4.6%
8 68
7.1%
10 1
 
0.1%
12 1
 
0.1%
ValueCountFrequency (%)
26 1
 
0.1%
12 1
 
0.1%
10 1
 
0.1%
8 68
7.1%
6 44
 
4.6%
5 2
 
0.2%
4 56
5.9%
3 1
 
0.1%
2 117
12.3%
1 1
 
0.1%

보행등_잔여시간_도량형
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)5.5%
Missing787
Missing (%)82.7%
Infinite0
Infinite (%)0.0%
Mean3.4363636
Minimum0
Maximum8
Zeros9
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2023-12-13T07:26:23.393038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q12
median2
Q34
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.1278952
Coefficient of variation (CV)0.61922876
Kurtosis-0.046272787
Mean3.4363636
Median Absolute Deviation (MAD)2
Skewness0.82523836
Sum567
Variance4.5279379
MonotonicityNot monotonic
2023-12-13T07:26:23.487843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2 73
 
7.7%
4 42
 
4.4%
8 17
 
1.8%
6 13
 
1.4%
0 9
 
0.9%
3 5
 
0.5%
5 3
 
0.3%
1 2
 
0.2%
7 1
 
0.1%
(Missing) 787
82.7%
ValueCountFrequency (%)
0 9
 
0.9%
1 2
 
0.2%
2 73
7.7%
3 5
 
0.5%
4 42
4.4%
5 3
 
0.3%
6 13
 
1.4%
7 1
 
0.1%
8 17
 
1.8%
ValueCountFrequency (%)
8 17
 
1.8%
7 1
 
0.1%
6 13
 
1.4%
5 3
 
0.3%
4 42
4.4%
3 5
 
0.5%
2 73
7.7%
1 2
 
0.2%
0 9
 
0.9%

보행등_잔여시간_숫자형
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)4.1%
Missing634
Missing (%)66.6%
Infinite0
Infinite (%)0.0%
Mean3.9874214
Minimum0
Maximum37
Zeros6
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2023-12-13T07:26:23.578066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q12
median2
Q34
95-th percentile8
Maximum37
Range37
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.4813381
Coefficient of variation (CV)0.87308006
Kurtosis37.598994
Mean3.9874214
Median Absolute Deviation (MAD)2
Skewness4.749752
Sum1268
Variance12.119715
MonotonicityNot monotonic
2023-12-13T07:26:23.666364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2 148
 
15.5%
4 79
 
8.3%
8 42
 
4.4%
6 25
 
2.6%
0 6
 
0.6%
1 6
 
0.6%
10 3
 
0.3%
12 3
 
0.3%
3 2
 
0.2%
32 1
 
0.1%
Other values (3) 3
 
0.3%
(Missing) 634
66.6%
ValueCountFrequency (%)
0 6
 
0.6%
1 6
 
0.6%
2 148
15.5%
3 2
 
0.2%
4 79
8.3%
6 25
 
2.6%
7 1
 
0.1%
8 42
 
4.4%
10 3
 
0.3%
12 3
 
0.3%
ValueCountFrequency (%)
37 1
 
0.1%
32 1
 
0.1%
16 1
 
0.1%
12 3
 
0.3%
10 3
 
0.3%
8 42
4.4%
7 1
 
0.1%
6 25
 
2.6%
4 79
8.3%
3 2
 
0.2%

보행자보호등(LED)
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)4.8%
Missing574
Missing (%)60.3%
Infinite0
Infinite (%)0.0%
Mean4.8571429
Minimum0
Maximum26
Zeros7
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2023-12-13T07:26:23.783693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median4
Q36
95-th percentile12
Maximum26
Range26
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.7784415
Coefficient of variation (CV)0.77791442
Kurtosis4.1559185
Mean4.8571429
Median Absolute Deviation (MAD)2
Skewness1.8103567
Sum1836
Variance14.27662
MonotonicityNot monotonic
2023-12-13T07:26:23.900591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
4 111
 
11.7%
2 106
 
11.1%
6 37
 
3.9%
8 33
 
3.5%
1 19
 
2.0%
12 17
 
1.8%
3 10
 
1.1%
16 9
 
0.9%
10 8
 
0.8%
5 8
 
0.8%
Other values (8) 20
 
2.1%
(Missing) 574
60.3%
ValueCountFrequency (%)
0 7
 
0.7%
1 19
 
2.0%
2 106
11.1%
3 10
 
1.1%
4 111
11.7%
5 8
 
0.8%
6 37
 
3.9%
7 2
 
0.2%
8 33
 
3.5%
9 3
 
0.3%
ValueCountFrequency (%)
26 1
 
0.1%
20 1
 
0.1%
18 2
 
0.2%
16 9
 
0.9%
14 2
 
0.2%
13 2
 
0.2%
12 17
1.8%
10 8
 
0.8%
9 3
 
0.3%
8 33
3.5%

보행자보호등(250W MH NA)
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)19.1%
Missing905
Missing (%)95.1%
Infinite0
Infinite (%)0.0%
Mean3.0425532
Minimum0
Maximum18
Zeros13
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2023-12-13T07:26:23.982320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q34
95-th percentile7.7
Maximum18
Range18
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.196176
Coefficient of variation (CV)1.0504914
Kurtosis9.3810715
Mean3.0425532
Median Absolute Deviation (MAD)1
Skewness2.3754956
Sum143
Variance10.215541
MonotonicityNot monotonic
2023-12-13T07:26:24.085203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 13
 
1.4%
3 11
 
1.2%
2 9
 
0.9%
6 5
 
0.5%
4 4
 
0.4%
8 2
 
0.2%
7 1
 
0.1%
18 1
 
0.1%
5 1
 
0.1%
(Missing) 905
95.1%
ValueCountFrequency (%)
0 13
1.4%
2 9
0.9%
3 11
1.2%
4 4
 
0.4%
5 1
 
0.1%
6 5
 
0.5%
7 1
 
0.1%
8 2
 
0.2%
18 1
 
0.1%
ValueCountFrequency (%)
18 1
 
0.1%
8 2
 
0.2%
7 1
 
0.1%
6 5
 
0.5%
5 1
 
0.1%
4 4
 
0.4%
3 11
1.2%
2 9
0.9%
0 13
1.4%

보행자작동(SW_일반)
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
<NA>
934 
0
 
13
2
 
5

Length

Max length4
Median length4
Mean length3.9432773
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 934
98.1%
0 13
 
1.4%
2 5
 
0.5%

Length

2023-12-13T07:26:24.479774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:26:24.567690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 934
98.1%
0 13
 
1.4%
2 5
 
0.5%

보행자작동 (SW_LED)
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
<NA>
936 
0
 
13
2
 
3

Length

Max length4
Median length4
Mean length3.9495798
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 936
98.3%
0 13
 
1.4%
2 3
 
0.3%

Length

2023-12-13T07:26:24.656803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:26:24.742565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 936
98.3%
0 13
 
1.4%
2 3
 
0.3%

(LED)전광판
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
<NA>
931 
0
 
12
1
 
9

Length

Max length4
Median length4
Mean length3.9338235
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 931
97.8%
0 12
 
1.3%
1 9
 
0.9%

Length

2023-12-13T07:26:24.836004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:26:24.920873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 931
97.8%
0 12
 
1.3%
1 9
 
0.9%

경광등
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
<NA>
894 
1
 
39
0
 
13
2
 
6

Length

Max length4
Median length4
Mean length3.8172269
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 894
93.9%
1 39
 
4.1%
0 13
 
1.4%
2 6
 
0.6%

Length

2023-12-13T07:26:25.005365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:26:25.150486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 894
93.9%
1 39
 
4.1%
0 13
 
1.4%
2 6
 
0.6%

신호등철주(300A_도금)
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
<NA>
918 
0
 
13
1
 
11
2
 
7
4
 
2

Length

Max length4
Median length4
Mean length3.8928571
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row1
3rd row<NA>
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
<NA> 918
96.4%
0 13
 
1.4%
1 11
 
1.2%
2 7
 
0.7%
4 2
 
0.2%
3 1
 
0.1%

Length

2023-12-13T07:26:25.252223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:26:25.354045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 918
96.4%
0 13
 
1.4%
1 11
 
1.2%
2 7
 
0.7%
4 2
 
0.2%
3 1
 
0.1%

신호등철주(300A_흑관)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
<NA>
932 
0
 
13
1
 
3
2
 
3
4
 
1

Length

Max length4
Median length4
Mean length3.9369748
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 932
97.9%
0 13
 
1.4%
1 3
 
0.3%
2 3
 
0.3%
4 1
 
0.1%

Length

2023-12-13T07:26:25.447169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:26:25.534845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 932
97.9%
0 13
 
1.4%
1 3
 
0.3%
2 3
 
0.3%
4 1
 
0.1%

신호등철주(300A_분체)
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
<NA>
912 
2
 
15
0
 
13
1
 
9
4
 
2

Length

Max length4
Median length4
Mean length3.8739496
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row2
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 912
95.8%
2 15
 
1.6%
0 13
 
1.4%
1 9
 
0.9%
4 2
 
0.2%
3 1
 
0.1%

Length

2023-12-13T07:26:25.629653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:26:25.721558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 912
95.8%
2 15
 
1.6%
0 13
 
1.4%
1 9
 
0.9%
4 2
 
0.2%
3 1
 
0.1%

신호등철주(250A_도금)
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)6.9%
Missing821
Missing (%)86.2%
Infinite0
Infinite (%)0.0%
Mean2.0992366
Minimum0
Maximum9
Zeros12
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2023-12-13T07:26:25.801660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.5534327
Coefficient of variation (CV)0.73999887
Kurtosis4.1403575
Mean2.0992366
Median Absolute Deviation (MAD)1
Skewness1.5951196
Sum275
Variance2.4131533
MonotonicityNot monotonic
2023-12-13T07:26:25.889295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2 40
 
4.2%
1 39
 
4.1%
3 22
 
2.3%
4 12
 
1.3%
0 12
 
1.3%
6 3
 
0.3%
9 1
 
0.1%
7 1
 
0.1%
8 1
 
0.1%
(Missing) 821
86.2%
ValueCountFrequency (%)
0 12
 
1.3%
1 39
4.1%
2 40
4.2%
3 22
2.3%
4 12
 
1.3%
6 3
 
0.3%
7 1
 
0.1%
8 1
 
0.1%
9 1
 
0.1%
ValueCountFrequency (%)
9 1
 
0.1%
8 1
 
0.1%
7 1
 
0.1%
6 3
 
0.3%
4 12
 
1.3%
3 22
2.3%
2 40
4.2%
1 39
4.1%
0 12
 
1.3%

신호등철주(250A_흑관)
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)6.4%
Missing827
Missing (%)86.9%
Infinite0
Infinite (%)0.0%
Mean2.128
Minimum0
Maximum10
Zeros9
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2023-12-13T07:26:25.979506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile4
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.616328
Coefficient of variation (CV)0.75955262
Kurtosis7.4436086
Mean2.128
Median Absolute Deviation (MAD)1
Skewness2.0366251
Sum266
Variance2.6125161
MonotonicityNot monotonic
2023-12-13T07:26:26.065614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 43
 
4.5%
2 35
 
3.7%
4 20
 
2.1%
3 14
 
1.5%
0 9
 
0.9%
10 2
 
0.2%
6 1
 
0.1%
5 1
 
0.1%
(Missing) 827
86.9%
ValueCountFrequency (%)
0 9
 
0.9%
1 43
4.5%
2 35
3.7%
3 14
 
1.5%
4 20
2.1%
5 1
 
0.1%
6 1
 
0.1%
10 2
 
0.2%
ValueCountFrequency (%)
10 2
 
0.2%
6 1
 
0.1%
5 1
 
0.1%
4 20
2.1%
3 14
 
1.5%
2 35
3.7%
1 43
4.5%
0 9
 
0.9%

신호등철주(250A_분체)
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)3.9%
Missing693
Missing (%)72.8%
Infinite0
Infinite (%)0.0%
Mean3.042471
Minimum0
Maximum10
Zeros13
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2023-12-13T07:26:26.157935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9
Q12
median3
Q34
95-th percentile8
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.9475017
Coefficient of variation (CV)0.64010525
Kurtosis0.97594488
Mean3.042471
Median Absolute Deviation (MAD)1
Skewness0.95839387
Sum788
Variance3.7927629
MonotonicityNot monotonic
2023-12-13T07:26:26.252696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2 60
 
6.3%
4 60
 
6.3%
3 46
 
4.8%
1 43
 
4.5%
8 15
 
1.6%
0 13
 
1.4%
6 10
 
1.1%
5 10
 
1.1%
7 1
 
0.1%
10 1
 
0.1%
(Missing) 693
72.8%
ValueCountFrequency (%)
0 13
 
1.4%
1 43
4.5%
2 60
6.3%
3 46
4.8%
4 60
6.3%
5 10
 
1.1%
6 10
 
1.1%
7 1
 
0.1%
8 15
 
1.6%
10 1
 
0.1%
ValueCountFrequency (%)
10 1
 
0.1%
8 15
 
1.6%
7 1
 
0.1%
6 10
 
1.1%
5 10
 
1.1%
4 60
6.3%
3 46
4.8%
2 60
6.3%
1 43
4.5%
0 13
 
1.4%

신호등철주(200A_도금)
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)3.3%
Missing553
Missing (%)58.1%
Infinite0
Infinite (%)0.0%
Mean2.3433584
Minimum0
Maximum26
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2023-12-13T07:26:26.345917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum26
Range26
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.4122593
Coefficient of variation (CV)1.0294026
Kurtosis53.279512
Mean2.3433584
Median Absolute Deviation (MAD)1
Skewness6.3484781
Sum935
Variance5.8189947
MonotonicityNot monotonic
2023-12-13T07:26:26.438936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 147
 
15.4%
2 138
 
14.5%
3 51
 
5.4%
4 40
 
4.2%
6 8
 
0.8%
5 5
 
0.5%
8 3
 
0.3%
7 2
 
0.2%
26 1
 
0.1%
23 1
 
0.1%
Other values (3) 3
 
0.3%
(Missing) 553
58.1%
ValueCountFrequency (%)
0 1
 
0.1%
1 147
15.4%
2 138
14.5%
3 51
 
5.4%
4 40
 
4.2%
5 5
 
0.5%
6 8
 
0.8%
7 2
 
0.2%
8 3
 
0.3%
15 1
 
0.1%
ValueCountFrequency (%)
26 1
 
0.1%
24 1
 
0.1%
23 1
 
0.1%
15 1
 
0.1%
8 3
 
0.3%
7 2
 
0.2%
6 8
 
0.8%
5 5
 
0.5%
4 40
4.2%
3 51
5.4%

신호등철주(200A_흑관)
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)7.0%
Missing810
Missing (%)85.1%
Infinite0
Infinite (%)0.0%
Mean2.6056338
Minimum0
Maximum20
Zeros7
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2023-12-13T07:26:26.552659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q33
95-th percentile5.95
Maximum20
Range20
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.4724231
Coefficient of variation (CV)0.94887588
Kurtosis29.768039
Mean2.6056338
Median Absolute Deviation (MAD)1
Skewness4.666547
Sum370
Variance6.1128758
MonotonicityNot monotonic
2023-12-13T07:26:26.663342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2 40
 
4.2%
1 35
 
3.7%
3 33
 
3.5%
4 16
 
1.7%
0 7
 
0.7%
6 4
 
0.4%
5 3
 
0.3%
7 2
 
0.2%
19 1
 
0.1%
20 1
 
0.1%
(Missing) 810
85.1%
ValueCountFrequency (%)
0 7
 
0.7%
1 35
3.7%
2 40
4.2%
3 33
3.5%
4 16
 
1.7%
5 3
 
0.3%
6 4
 
0.4%
7 2
 
0.2%
19 1
 
0.1%
20 1
 
0.1%
ValueCountFrequency (%)
20 1
 
0.1%
19 1
 
0.1%
7 2
 
0.2%
6 4
 
0.4%
5 3
 
0.3%
4 16
 
1.7%
3 33
3.5%
2 40
4.2%
1 35
3.7%
0 7
 
0.7%

신호등철주(200A_분체)
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)6.8%
Missing820
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean2.0757576
Minimum0
Maximum8
Zeros13
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2023-12-13T07:26:26.775648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile4.45
Maximum8
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.4652265
Coefficient of variation (CV)0.70587555
Kurtosis1.8918061
Mean2.0757576
Median Absolute Deviation (MAD)1
Skewness1.0940856
Sum274
Variance2.1468887
MonotonicityNot monotonic
2023-12-13T07:26:26.884769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2 40
 
4.2%
1 39
 
4.1%
3 18
 
1.9%
4 15
 
1.6%
0 13
 
1.4%
5 4
 
0.4%
6 1
 
0.1%
7 1
 
0.1%
8 1
 
0.1%
(Missing) 820
86.1%
ValueCountFrequency (%)
0 13
 
1.4%
1 39
4.1%
2 40
4.2%
3 18
1.9%
4 15
 
1.6%
5 4
 
0.4%
6 1
 
0.1%
7 1
 
0.1%
8 1
 
0.1%
ValueCountFrequency (%)
8 1
 
0.1%
7 1
 
0.1%
6 1
 
0.1%
5 4
 
0.4%
4 15
 
1.6%
3 18
1.9%
2 40
4.2%
1 39
4.1%
0 13
 
1.4%

부착대(13m_도금)
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
<NA>
925 
0
 
13
1
 
8
2
 
4
3
 
1

Length

Max length4
Median length4
Mean length3.914916
Min length1

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row2
2nd row1
3rd row<NA>
4th row<NA>
5th row3

Common Values

ValueCountFrequency (%)
<NA> 925
97.2%
0 13
 
1.4%
1 8
 
0.8%
2 4
 
0.4%
3 1
 
0.1%
4 1
 
0.1%

Length

2023-12-13T07:26:27.005186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:26:27.108357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 925
97.2%
0 13
 
1.4%
1 8
 
0.8%
2 4
 
0.4%
3 1
 
0.1%
4 1
 
0.1%

부착대(13m_흑관)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
<NA>
939 
0
 
13

Length

Max length4
Median length4
Mean length3.9590336
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 939
98.6%
0 13
 
1.4%

Length

2023-12-13T07:26:27.249765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:26:27.351101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 939
98.6%
0 13
 
1.4%

부착대(13m_분체)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
<NA>
909 
2
 
15
1
 
13
0
 
13
4
 
2

Length

Max length4
Median length4
Mean length3.8644958
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row2
4th row2
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 909
95.5%
2 15
 
1.6%
1 13
 
1.4%
0 13
 
1.4%
4 2
 
0.2%

Length

2023-12-13T07:26:27.468482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:26:27.593162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 909
95.5%
2 15
 
1.6%
1 13
 
1.4%
0 13
 
1.4%
4 2
 
0.2%

부착대(11m_도금)
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)8.0%
Missing877
Missing (%)92.1%
Infinite0
Infinite (%)0.0%
Mean1.76
Minimum0
Maximum5
Zeros13
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2023-12-13T07:26:27.694247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q32
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.3032185
Coefficient of variation (CV)0.74046504
Kurtosis-0.53108081
Mean1.76
Median Absolute Deviation (MAD)1
Skewness0.49884581
Sum132
Variance1.6983784
MonotonicityNot monotonic
2023-12-13T07:26:27.792684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 22
 
2.3%
2 22
 
2.3%
0 13
 
1.4%
4 10
 
1.1%
3 7
 
0.7%
5 1
 
0.1%
(Missing) 877
92.1%
ValueCountFrequency (%)
0 13
1.4%
1 22
2.3%
2 22
2.3%
3 7
 
0.7%
4 10
1.1%
5 1
 
0.1%
ValueCountFrequency (%)
5 1
 
0.1%
4 10
1.1%
3 7
 
0.7%
2 22
2.3%
1 22
2.3%
0 13
1.4%

부착대(11m_흑관)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
<NA>
925 
0
 
12
1
 
10
2
 
4
3
 
1

Length

Max length4
Median length4
Mean length3.914916
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 925
97.2%
0 12
 
1.3%
1 10
 
1.1%
2 4
 
0.4%
3 1
 
0.1%

Length

2023-12-13T07:26:27.944084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:26:28.085706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 925
97.2%
0 12
 
1.3%
1 10
 
1.1%
2 4
 
0.4%
3 1
 
0.1%

부착대(11m_분체)
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)6.9%
Missing850
Missing (%)89.3%
Infinite0
Infinite (%)0.0%
Mean1.8431373
Minimum0
Maximum8
Zeros13
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2023-12-13T07:26:28.186608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q32
95-th percentile4
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4333033
Coefficient of variation (CV)0.77764328
Kurtosis5.2496933
Mean1.8431373
Median Absolute Deviation (MAD)1
Skewness1.7218665
Sum188
Variance2.0543584
MonotonicityNot monotonic
2023-12-13T07:26:28.296740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 36
 
3.8%
1 32
 
3.4%
0 13
 
1.4%
4 9
 
0.9%
3 9
 
0.9%
8 2
 
0.2%
5 1
 
0.1%
(Missing) 850
89.3%
ValueCountFrequency (%)
0 13
 
1.4%
1 32
3.4%
2 36
3.8%
3 9
 
0.9%
4 9
 
0.9%
5 1
 
0.1%
8 2
 
0.2%
ValueCountFrequency (%)
8 2
 
0.2%
5 1
 
0.1%
4 9
 
0.9%
3 9
 
0.9%
2 36
3.8%
1 32
3.4%
0 13
 
1.4%

부착대(9m_도금)
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)4.1%
Missing758
Missing (%)79.6%
Infinite0
Infinite (%)0.0%
Mean1.6907216
Minimum0
Maximum7
Zeros6
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2023-12-13T07:26:28.411197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.0997958
Coefficient of variation (CV)0.65048897
Kurtosis4.2186156
Mean1.6907216
Median Absolute Deviation (MAD)0
Skewness1.79594
Sum328
Variance1.2095508
MonotonicityNot monotonic
2023-12-13T07:26:28.520013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 101
 
10.6%
2 58
 
6.1%
3 14
 
1.5%
4 9
 
0.9%
0 6
 
0.6%
5 4
 
0.4%
7 1
 
0.1%
6 1
 
0.1%
(Missing) 758
79.6%
ValueCountFrequency (%)
0 6
 
0.6%
1 101
10.6%
2 58
6.1%
3 14
 
1.5%
4 9
 
0.9%
5 4
 
0.4%
6 1
 
0.1%
7 1
 
0.1%
ValueCountFrequency (%)
7 1
 
0.1%
6 1
 
0.1%
5 4
 
0.4%
4 9
 
0.9%
3 14
 
1.5%
2 58
6.1%
1 101
10.6%
0 6
 
0.6%

부착대(9m_흑관)
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)6.5%
Missing845
Missing (%)88.8%
Infinite0
Infinite (%)0.0%
Mean1.8130841
Minimum0
Maximum7
Zeros9
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2023-12-13T07:26:28.641550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q32
95-th percentile4
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2372431
Coefficient of variation (CV)0.68239699
Kurtosis2.9162245
Mean1.8130841
Median Absolute Deviation (MAD)1
Skewness1.3384789
Sum194
Variance1.5307706
MonotonicityNot monotonic
2023-12-13T07:26:28.749322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 40
 
4.2%
1 39
 
4.1%
4 11
 
1.2%
0 9
 
0.9%
3 6
 
0.6%
6 1
 
0.1%
7 1
 
0.1%
(Missing) 845
88.8%
ValueCountFrequency (%)
0 9
 
0.9%
1 39
4.1%
2 40
4.2%
3 6
 
0.6%
4 11
 
1.2%
6 1
 
0.1%
7 1
 
0.1%
ValueCountFrequency (%)
7 1
 
0.1%
6 1
 
0.1%
4 11
 
1.2%
3 6
 
0.6%
2 40
4.2%
1 39
4.1%
0 9
 
0.9%

부착대(9m_분체)
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)4.7%
Missing803
Missing (%)84.3%
Infinite0
Infinite (%)0.0%
Mean1.7449664
Minimum0
Maximum6
Zeros13
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2023-12-13T07:26:28.854142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1863774
Coefficient of variation (CV)0.67988552
Kurtosis1.1616337
Mean1.7449664
Median Absolute Deviation (MAD)1
Skewness1.0493537
Sum260
Variance1.4074914
MonotonicityNot monotonic
2023-12-13T07:26:28.962295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 62
 
6.5%
2 44
 
4.6%
3 16
 
1.7%
0 13
 
1.4%
4 9
 
0.9%
5 4
 
0.4%
6 1
 
0.1%
(Missing) 803
84.3%
ValueCountFrequency (%)
0 13
 
1.4%
1 62
6.5%
2 44
4.6%
3 16
 
1.7%
4 9
 
0.9%
5 4
 
0.4%
6 1
 
0.1%
ValueCountFrequency (%)
6 1
 
0.1%
5 4
 
0.4%
4 9
 
0.9%
3 16
 
1.7%
2 44
4.6%
1 62
6.5%
0 13
 
1.4%

부착대(7m_도금)
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)4.3%
Missing648
Missing (%)68.1%
Infinite0
Infinite (%)0.0%
Mean2.1875
Minimum0
Maximum29
Zeros4
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2023-12-13T07:26:29.055831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q32
95-th percentile5
Maximum29
Range29
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.3786124
Coefficient of variation (CV)1.0873657
Kurtosis63.059649
Mean2.1875
Median Absolute Deviation (MAD)1
Skewness6.7533087
Sum665
Variance5.657797
MonotonicityNot monotonic
2023-12-13T07:26:29.146185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 127
 
13.3%
2 98
 
10.3%
3 39
 
4.1%
4 18
 
1.9%
5 9
 
0.9%
0 4
 
0.4%
6 3
 
0.3%
16 1
 
0.1%
8 1
 
0.1%
7 1
 
0.1%
Other values (3) 3
 
0.3%
(Missing) 648
68.1%
ValueCountFrequency (%)
0 4
 
0.4%
1 127
13.3%
2 98
10.3%
3 39
 
4.1%
4 18
 
1.9%
5 9
 
0.9%
6 3
 
0.3%
7 1
 
0.1%
8 1
 
0.1%
12 1
 
0.1%
ValueCountFrequency (%)
29 1
 
0.1%
18 1
 
0.1%
16 1
 
0.1%
12 1
 
0.1%
8 1
 
0.1%
7 1
 
0.1%
6 3
 
0.3%
5 9
 
0.9%
4 18
1.9%
3 39
4.1%

부착대(7m_흑관)
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)7.3%
Missing815
Missing (%)85.6%
Infinite0
Infinite (%)0.0%
Mean2.1970803
Minimum0
Maximum18
Zeros8
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2023-12-13T07:26:29.244732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile4
Maximum18
Range18
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.2453855
Coefficient of variation (CV)1.0219861
Kurtosis28.103988
Mean2.1970803
Median Absolute Deviation (MAD)1
Skewness4.6538638
Sum301
Variance5.0417561
MonotonicityNot monotonic
2023-12-13T07:26:29.341092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2 47
 
4.9%
1 46
 
4.8%
3 19
 
2.0%
4 11
 
1.2%
0 8
 
0.8%
5 2
 
0.2%
16 1
 
0.1%
18 1
 
0.1%
10 1
 
0.1%
6 1
 
0.1%
(Missing) 815
85.6%
ValueCountFrequency (%)
0 8
 
0.8%
1 46
4.8%
2 47
4.9%
3 19
2.0%
4 11
 
1.2%
5 2
 
0.2%
6 1
 
0.1%
10 1
 
0.1%
16 1
 
0.1%
18 1
 
0.1%
ValueCountFrequency (%)
18 1
 
0.1%
16 1
 
0.1%
10 1
 
0.1%
6 1
 
0.1%
5 2
 
0.2%
4 11
 
1.2%
3 19
2.0%
2 47
4.9%
1 46
4.8%
0 8
 
0.8%

부착대(7m_분체)
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)3.3%
Missing743
Missing (%)78.0%
Infinite0
Infinite (%)0.0%
Mean1.7607656
Minimum0
Maximum6
Zeros13
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2023-12-13T07:26:29.442054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2129872
Coefficient of variation (CV)0.6888976
Kurtosis2.0240826
Mean1.7607656
Median Absolute Deviation (MAD)1
Skewness1.3667389
Sum368
Variance1.4713379
MonotonicityNot monotonic
2023-12-13T07:26:29.537477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 96
 
10.1%
2 62
 
6.5%
4 16
 
1.7%
3 15
 
1.6%
0 13
 
1.4%
6 4
 
0.4%
5 3
 
0.3%
(Missing) 743
78.0%
ValueCountFrequency (%)
0 13
 
1.4%
1 96
10.1%
2 62
6.5%
3 15
 
1.6%
4 16
 
1.7%
5 3
 
0.3%
6 4
 
0.4%
ValueCountFrequency (%)
6 4
 
0.4%
5 3
 
0.3%
4 16
 
1.7%
3 15
 
1.6%
2 62
6.5%
1 96
10.1%
0 13
 
1.4%

부착대(5m_도금)
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)3.9%
Missing774
Missing (%)81.3%
Infinite0
Infinite (%)0.0%
Mean1.5505618
Minimum0
Maximum8
Zeros7
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2023-12-13T07:26:29.650124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.94493877
Coefficient of variation (CV)0.60941704
Kurtosis12.625616
Mean1.5505618
Median Absolute Deviation (MAD)0
Skewness2.5141667
Sum276
Variance0.89290929
MonotonicityNot monotonic
2023-12-13T07:26:29.774925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 93
 
9.8%
2 63
 
6.6%
3 8
 
0.8%
0 7
 
0.7%
4 5
 
0.5%
8 1
 
0.1%
5 1
 
0.1%
(Missing) 774
81.3%
ValueCountFrequency (%)
0 7
 
0.7%
1 93
9.8%
2 63
6.6%
3 8
 
0.8%
4 5
 
0.5%
5 1
 
0.1%
8 1
 
0.1%
ValueCountFrequency (%)
8 1
 
0.1%
5 1
 
0.1%
4 5
 
0.5%
3 8
 
0.8%
2 63
6.6%
1 93
9.8%
0 7
 
0.7%

부착대(5m_흑관)
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)7.6%
Missing873
Missing (%)91.7%
Infinite0
Infinite (%)0.0%
Mean1.4936709
Minimum0
Maximum5
Zeros7
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2023-12-13T07:26:29.893826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.0726605
Coefficient of variation (CV)0.71813709
Kurtosis1.5567426
Mean1.4936709
Median Absolute Deviation (MAD)0
Skewness1.3277003
Sum118
Variance1.1506005
MonotonicityNot monotonic
2023-12-13T07:26:29.985585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 45
 
4.7%
2 16
 
1.7%
0 7
 
0.7%
4 6
 
0.6%
3 4
 
0.4%
5 1
 
0.1%
(Missing) 873
91.7%
ValueCountFrequency (%)
0 7
 
0.7%
1 45
4.7%
2 16
 
1.7%
3 4
 
0.4%
4 6
 
0.6%
5 1
 
0.1%
ValueCountFrequency (%)
5 1
 
0.1%
4 6
 
0.6%
3 4
 
0.4%
2 16
 
1.7%
1 45
4.7%
0 7
 
0.7%

부착대(5m_분체)
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)5.1%
Missing795
Missing (%)83.5%
Infinite0
Infinite (%)0.0%
Mean2.0127389
Minimum0
Maximum8
Zeros13
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2023-12-13T07:26:30.071070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile4.2
Maximum8
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.3727535
Coefficient of variation (CV)0.68203257
Kurtosis1.9968852
Mean2.0127389
Median Absolute Deviation (MAD)1
Skewness1.1213594
Sum316
Variance1.8844521
MonotonicityNot monotonic
2023-12-13T07:26:30.161404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 51
 
5.4%
2 49
 
5.1%
3 22
 
2.3%
4 14
 
1.5%
0 13
 
1.4%
5 5
 
0.5%
6 2
 
0.2%
8 1
 
0.1%
(Missing) 795
83.5%
ValueCountFrequency (%)
0 13
 
1.4%
1 51
5.4%
2 49
5.1%
3 22
2.3%
4 14
 
1.5%
5 5
 
0.5%
6 2
 
0.2%
8 1
 
0.1%
ValueCountFrequency (%)
8 1
 
0.1%
6 2
 
0.2%
5 5
 
0.5%
4 14
 
1.5%
3 22
2.3%
2 49
5.1%
1 51
5.4%
0 13
 
1.4%

보행철주_125_6_도금
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
<NA>
885 
1
 
29
2
 
23
0
 
10
3
 
4

Length

Max length4
Median length4
Mean length3.7888655
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row1
3rd row<NA>
4th row0
5th row1

Common Values

ValueCountFrequency (%)
<NA> 885
93.0%
1 29
 
3.0%
2 23
 
2.4%
0 10
 
1.1%
3 4
 
0.4%
6 1
 
0.1%

Length

2023-12-13T07:26:30.268106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:26:30.367799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 885
93.0%
1 29
 
3.0%
2 23
 
2.4%
0 10
 
1.1%
3 4
 
0.4%
6 1
 
0.1%

보행철주_125_6_흑관
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
<NA>
936 
0
 
12
1
 
4

Length

Max length4
Median length4
Mean length3.9495798
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 936
98.3%
0 12
 
1.3%
1 4
 
0.4%

Length

2023-12-13T07:26:30.471945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:26:30.551665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 936
98.3%
0 12
 
1.3%
1 4
 
0.4%

보행철주_125_6_분체
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
<NA>
889 
1
 
36
0
 
13
2
 
10
3
 
3

Length

Max length4
Median length4
Mean length3.8014706
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row2
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 889
93.4%
1 36
 
3.8%
0 13
 
1.4%
2 10
 
1.1%
3 3
 
0.3%
4 1
 
0.1%

Length

2023-12-13T07:26:30.653757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:26:30.747571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 889
93.4%
1 36
 
3.8%
0 13
 
1.4%
2 10
 
1.1%
3 3
 
0.3%
4 1
 
0.1%

보행철주_125_4_도금
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)4.6%
Missing713
Missing (%)74.9%
Infinite0
Infinite (%)0.0%
Mean2.5020921
Minimum0
Maximum25
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2023-12-13T07:26:30.832258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum25
Range25
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.6833982
Coefficient of variation (CV)1.0724618
Kurtosis44.051866
Mean2.5020921
Median Absolute Deviation (MAD)1
Skewness5.9257135
Sum598
Variance7.2006259
MonotonicityNot monotonic
2023-12-13T07:26:30.936234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 87
 
9.1%
2 68
 
7.1%
3 34
 
3.6%
4 34
 
3.6%
5 8
 
0.8%
8 2
 
0.2%
6 2
 
0.2%
20 1
 
0.1%
0 1
 
0.1%
24 1
 
0.1%
(Missing) 713
74.9%
ValueCountFrequency (%)
0 1
 
0.1%
1 87
9.1%
2 68
7.1%
3 34
 
3.6%
4 34
 
3.6%
5 8
 
0.8%
6 2
 
0.2%
8 2
 
0.2%
20 1
 
0.1%
24 1
 
0.1%
ValueCountFrequency (%)
25 1
 
0.1%
24 1
 
0.1%
20 1
 
0.1%
8 2
 
0.2%
6 2
 
0.2%
5 8
 
0.8%
4 34
 
3.6%
3 34
 
3.6%
2 68
7.1%
1 87
9.1%

보행철주_125_4_흑관
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)7.1%
Missing840
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean2.0892857
Minimum0
Maximum10
Zeros10
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2023-12-13T07:26:31.026381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile4.45
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.5743071
Coefficient of variation (CV)0.75351449
Kurtosis5.7442334
Mean2.0892857
Median Absolute Deviation (MAD)1
Skewness1.7966298
Sum234
Variance2.4784427
MonotonicityNot monotonic
2023-12-13T07:26:31.118904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 37
 
3.9%
1 34
 
3.6%
3 13
 
1.4%
4 12
 
1.3%
0 10
 
1.1%
5 3
 
0.3%
7 2
 
0.2%
10 1
 
0.1%
(Missing) 840
88.2%
ValueCountFrequency (%)
0 10
 
1.1%
1 34
3.6%
2 37
3.9%
3 13
 
1.4%
4 12
 
1.3%
5 3
 
0.3%
7 2
 
0.2%
10 1
 
0.1%
ValueCountFrequency (%)
10 1
 
0.1%
7 2
 
0.2%
5 3
 
0.3%
4 12
 
1.3%
3 13
 
1.4%
2 37
3.9%
1 34
3.6%
0 10
 
1.1%

보행철주_125_4_분체
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)5.8%
Missing849
Missing (%)89.2%
Infinite0
Infinite (%)0.0%
Mean1.6407767
Minimum0
Maximum5
Zeros12
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2023-12-13T07:26:31.211822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1276765
Coefficient of variation (CV)0.68728213
Kurtosis0.72443588
Mean1.6407767
Median Absolute Deviation (MAD)1
Skewness0.87539801
Sum169
Variance1.2716543
MonotonicityNot monotonic
2023-12-13T07:26:31.320020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 41
 
4.3%
2 33
 
3.5%
0 12
 
1.3%
3 8
 
0.8%
4 7
 
0.7%
5 2
 
0.2%
(Missing) 849
89.2%
ValueCountFrequency (%)
0 12
 
1.3%
1 41
4.3%
2 33
3.5%
3 8
 
0.8%
4 7
 
0.7%
5 2
 
0.2%
ValueCountFrequency (%)
5 2
 
0.2%
4 7
 
0.7%
3 8
 
0.8%
2 33
3.5%
1 41
4.3%
0 12
 
1.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
Minimum2023-06-14 00:00:00
Maximum2023-06-14 00:00:00
2023-12-13T07:26:31.657713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:26:31.737862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

연번구별도로명 또는 위치교차로 명칭설치주소(계량기)교통제어기 종류_표준교통제어기종류_일반슬립경보제어기차량등_4색차량등_3색보조등_3색보조등_2색경보등_3색경보등_2색보행등_2색보행등_음향신호기보행등_잔여시간_도량형보행등_잔여시간_숫자형보행자보호등(LED)보행자보호등(250W MH NA)보행자작동(SW_일반)보행자작동 (SW_LED)(LED)전광판경광등신호등철주(300A_도금)신호등철주(300A_흑관)신호등철주(300A_분체)신호등철주(250A_도금)신호등철주(250A_흑관)신호등철주(250A_분체)신호등철주(200A_도금)신호등철주(200A_흑관)신호등철주(200A_분체)부착대(13m_도금)부착대(13m_흑관)부착대(13m_분체)부착대(11m_도금)부착대(11m_흑관)부착대(11m_분체)부착대(9m_도금)부착대(9m_흑관)부착대(9m_분체)부착대(7m_도금)부착대(7m_흑관)부착대(7m_분체)부착대(5m_도금)부착대(5m_흑관)부착대(5m_분체)보행철주_125_6_도금보행철주_125_6_흑관보행철주_125_6_분체보행철주_125_4_도금보행철주_125_4_흑관보행철주_125_4_분체데이터기준일자
01수정구성남대로모란고개수진동45871<NA><NA><NA><NA>1011<NA><NA>42<NA>240<NA><NA><NA>2<NA><NA><NA>3<NA><NA><NA><NA><NA>2<NA><NA><NA><NA><NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA>2023-06-14
12수정구성남대로태평역사거리수진동45381<NA><NA><NA>16933<NA><NA>886210<NA><NA><NA><NA><NA>1<NA><NA>6222<NA><NA>1<NA><NA>4<NA>25<NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA>1<NA><NA>2023-06-14
23수정구성남대로수정경찰서앞태평동68121<NA><NA><NA>4101<NA><NA><NA>22<NA>24<NA><NA><NA><NA><NA><NA><NA>2<NA><NA>3<NA><NA><NA><NA><NA>2<NA><NA>1<NA><NA>3<NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-06-14
34수정구성남대로태평고개사거리태평동67951<NA><NA>15732<NA>262<NA>46<NA><NA><NA><NA><NA><NA><NA><NA>1<NA>3<NA><NA>1<NA><NA>21<NA>10<NA>10<NA>1<NA><NA><NA>0<NA>2<NA><NA><NA>2023-06-14
45수정구성남대로구)성남병원태평동71381<NA><NA><NA>551<NA><NA><NA>42<NA>46<NA><NA><NA><NA><NA>1<NA><NA>2<NA><NA>1<NA><NA>3<NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA>1<NA><NA><NA>1<NA>2023-06-14
56수정구성남대로경원대앞태평동624-41<NA><NA><NA>311<NA><NA><NA><NA>42<NA>44<NA><NA><NA><NA>2<NA><NA><NA>41<NA><NA><NA><NA><NA><NA><NA>4<NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA>2023-06-14
67수정구성남대로복정초소앞복정동6621<NA><NA><NA><NA>10<NA><NA><NA><NA>22<NA>26<NA><NA><NA><NA><NA><NA><NA><NA>4<NA><NA><NA><NA><NA><NA><NA><NA>4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-06-14
78수정구성남대로복정정수장삼거리복정동6931<NA><NA><NA>46<NA><NA><NA><NA>22<NA>22<NA><NA><NA><NA><NA><NA><NA><NA>1<NA>31<NA><NA>1<NA>2<NA><NA>1<NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-06-14
89수정구성남대로동서울대앞복정동683<NA><NA>1<NA>16<NA><NA><NA>2<NA>42<NA>46<NA><NA><NA><NA><NA><NA><NA>22<NA>21<NA><NA><NA><NA>22<NA>1<NA><NA><NA>2<NA>1<NA><NA><NA><NA><NA><NA>1<NA><NA>2023-06-14
910수정구성남대로국제학교앞복정동2771<NA><NA><NA>57<NA><NA><NA><NA>22<NA>26<NA><NA><NA><NA>2<NA><NA>21<NA>21<NA><NA><NA><NA>21<NA>1<NA><NA><NA>2<NA>1<NA><NA><NA><NA><NA><NA>1<NA><NA>2023-06-14
연번구별도로명 또는 위치교차로 명칭설치주소(계량기)교통제어기 종류_표준교통제어기종류_일반슬립경보제어기차량등_4색차량등_3색보조등_3색보조등_2색경보등_3색경보등_2색보행등_2색보행등_음향신호기보행등_잔여시간_도량형보행등_잔여시간_숫자형보행자보호등(LED)보행자보호등(250W MH NA)보행자작동(SW_일반)보행자작동 (SW_LED)(LED)전광판경광등신호등철주(300A_도금)신호등철주(300A_흑관)신호등철주(300A_분체)신호등철주(250A_도금)신호등철주(250A_흑관)신호등철주(250A_분체)신호등철주(200A_도금)신호등철주(200A_흑관)신호등철주(200A_분체)부착대(13m_도금)부착대(13m_흑관)부착대(13m_분체)부착대(11m_도금)부착대(11m_흑관)부착대(11m_분체)부착대(9m_도금)부착대(9m_흑관)부착대(9m_분체)부착대(7m_도금)부착대(7m_흑관)부착대(7m_분체)부착대(5m_도금)부착대(5m_흑관)부착대(5m_분체)보행철주_125_6_도금보행철주_125_6_흑관보행철주_125_6_분체보행철주_125_4_도금보행철주_125_4_흑관보행철주_125_4_분체데이터기준일자
942943분당구23호 국지도궁내T/G 사거리<NA>1<NA><NA><NA>117<NA><NA><NA><NA>222<NA>4<NA><NA><NA><NA><NA><NA><NA>4<NA><NA>2<NA><NA><NA><NA><NA>4<NA><NA>2<NA><NA><NA><NA><NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-06-14
943944분당구23호 국지도보바스기념병원 사거리<NA>1<NA><NA><NA>74<NA><NA><NA><NA>222<NA>4<NA><NA><NA><NA><NA><NA><NA>1<NA><NA>2<NA><NA><NA><NA><NA>1<NA><NA>2<NA><NA><NA><NA><NA><NA><NA><NA>2<NA><NA><NA><NA><NA>12023-06-14
944945분당구23호 국지도미빙냉장 사거리<NA>1<NA><NA><NA>64<NA><NA><NA><NA>222<NA>4<NA><NA><NA><NA><NA><NA><NA>2<NA><NA>2<NA><NA><NA><NA><NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2<NA><NA><NA><NA><NA><NA>2023-06-14
945946분당구23호 국지도동원동 삼거리<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-06-14
946947분당구23호 국지도금곡IC단일로<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-06-14
947948분당구23호 국지도금곡IC분당진입<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-06-14
948949분당구23호 국지도이우학교<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-06-14
949950분당구23호 국지도대장IC 출구<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-06-14
950951분당구23호 국지도대장IC 입구<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-06-14
951952분당구23호 국지도대장IC 입구<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-06-14