Overview

Dataset statistics

Number of variables8
Number of observations10000
Missing cells122
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory732.4 KiB
Average record size in memory75.0 B

Variable types

Text2
Categorical3
Numeric3

Dataset

Description승강기 검사현황 등 정보제공 ※ 승강기 안전관리법 제28조 및 제32조에 따른 설치검사, 안전검사 중 최근 실시한 검사결과 기준
URLhttps://www.data.go.kr/data/15048079/fileData.do

Alerts

최종검사일자 is highly overall correlated with 비고High correlation
유효기간 is highly overall correlated with 비고High correlation
비고 is highly overall correlated with 최종검사일자 and 1 other fieldsHigh correlation
최종검사결과 is highly imbalanced (64.0%)Imbalance
비고 is highly imbalanced (80.2%)Imbalance
유효기간 has 122 (1.2%) missing valuesMissing

Reproduction

Analysis started2023-12-12 21:28:44.609170
Analysis finished2023-12-12 21:28:47.290062
Duration2.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건물명
Text

Distinct6366
Distinct (%)63.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T06:28:47.455437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length7.6396
Min length1

Characters and Unicode

Total characters76396
Distinct characters719
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4403 ?
Unique (%)44.0%

Sample

1st row명륜아남아파트
2nd row동부아파트
3rd row호원한주4차아파트
4th row괴안삼익3차아파트
5th row그랜드모텔
ValueCountFrequency (%)
금곡lg빌리지아파트 14
 
0.1%
엑스포아파트 14
 
0.1%
부평현대1단지아파트 14
 
0.1%
압구정현대apt 12
 
0.1%
한일타운 11
 
0.1%
대한대우아파트 11
 
0.1%
신동아아파트 11
 
0.1%
한국1차아파트 10
 
0.1%
현대아파트 10
 
0.1%
양지마을금호1,6단지아파트 10
 
0.1%
Other values (6553) 10212
98.9%
2023-12-13T06:28:47.847682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 5935
 
7.8%
트 5572
 
7.3%
파 5505
 
7.2%
빌 1626
 
2.1%
대 1528
 
2.0%
딩 1431
 
1.9%
동 1384
 
1.8%
지 1291
 
1.7%
주 1273
 
1.7%
차 1130
 
1.5%
Other values (709) 49721
65.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70540
92.3%
Decimal Number 2596
 
3.4%
Uppercase Letter 1073
 
1.4%
Close Punctuation 767
 
1.0%
Open Punctuation 766
 
1.0%
Space Separator 337
 
0.4%
Other Punctuation 138
 
0.2%
Lowercase Letter 89
 
0.1%
Dash Punctuation 81
 
0.1%
Letter Number 5
 
< 0.1%
Other values (3) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 5935
 
8.4%
트 5572
 
7.9%
파 5505
 
7.8%
빌 1626
 
2.3%
대 1528
 
2.2%
딩 1431
 
2.0%
동 1384
 
2.0%
지 1291
 
1.8%
주 1273
 
1.8%
차 1130
 
1.6%
Other values (634) 43865
62.2%
Uppercase Letter
ValueCountFrequency (%)
A 154
14.4%
T 135
12.6%
P 118
11.0%
S 84
 
7.8%
G 82
 
7.6%
L 76
 
7.1%
K 70
 
6.5%
N 38
 
3.5%
I 36
 
3.4%
B 36
 
3.4%
Other values (16) 244
22.7%
Lowercase Letter
ValueCountFrequency (%)
e 12
13.5%
o 9
10.1%
t 8
 
9.0%
a 8
 
9.0%
l 6
 
6.7%
m 6
 
6.7%
i 5
 
5.6%
s 5
 
5.6%
r 5
 
5.6%
y 5
 
5.6%
Other values (11) 20
22.5%
Decimal Number
ValueCountFrequency (%)
1 790
30.4%
2 730
28.1%
3 325
12.5%
5 170
 
6.5%
4 165
 
6.4%
6 133
 
5.1%
8 78
 
3.0%
7 77
 
3.0%
9 77
 
3.0%
0 48
 
1.8%
Other Punctuation
ValueCountFrequency (%)
, 83
60.1%
. 34
24.6%
/ 10
 
7.2%
& 7
 
5.1%
· 3
 
2.2%
# 1
 
0.7%
Letter Number
ValueCountFrequency (%)
Ⅰ 2
40.0%
Ⅲ 2
40.0%
Ⅱ 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 766
99.9%
） 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 766
100.0%
Space Separator
ValueCountFrequency (%)
337
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 81
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70542
92.3%
Common 4687
 
6.1%
Latin 1167
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 5935
 
8.4%
트 5572
 
7.9%
파 5505
 
7.8%
빌 1626
 
2.3%
대 1528
 
2.2%
딩 1431
 
2.0%
동 1384
 
2.0%
지 1291
 
1.8%
주 1273
 
1.8%
차 1130
 
1.6%
Other values (635) 43867
62.2%
Latin
ValueCountFrequency (%)
A 154
13.2%
T 135
 
11.6%
P 118
 
10.1%
S 84
 
7.2%
G 82
 
7.0%
L 76
 
6.5%
K 70
 
6.0%
N 38
 
3.3%
I 36
 
3.1%
B 36
 
3.1%
Other values (40) 338
29.0%
Common
ValueCountFrequency (%)
1 790
16.9%
( 766
16.3%
) 766
16.3%
2 730
15.6%
337
7.2%
3 325
6.9%
5 170
 
3.6%
4 165
 
3.5%
6 133
 
2.8%
, 83
 
1.8%
Other values (14) 422
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70540
92.3%
ASCII 5842
 
7.6%
None 9
 
< 0.1%
Number Forms 5
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 5935
 
8.4%
트 5572
 
7.9%
파 5505
 
7.8%
빌 1626
 
2.3%
대 1528
 
2.2%
딩 1431
 
2.0%
동 1384
 
2.0%
지 1291
 
1.8%
주 1273
 
1.8%
차 1130
 
1.6%
Other values (634) 43865
62.2%
ASCII
ValueCountFrequency (%)
1 790
13.5%
( 766
13.1%
) 766
13.1%
2 730
12.5%
337
 
5.8%
3 325
 
5.6%
5 170
 
2.9%
4 165
 
2.8%
A 154
 
2.6%
T 135
 
2.3%
Other values (58) 1504
25.7%
None
ValueCountFrequency (%)
２ 3
33.3%
· 3
33.3%
㈜ 2
22.2%
） 1
 
11.1%
Number Forms
ValueCountFrequency (%)
Ⅰ 2
40.0%
Ⅲ 2
40.0%
Ⅱ 1
20.0%

주소
Text

Distinct6733
Distinct (%)67.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T06:28:48.196943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length46
Mean length26.8381
Min length14

Characters and Unicode

Total characters268381
Distinct characters552
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4959 ?
Unique (%)49.6%

Sample

1st row서울특별시 종로구 창경궁로 265 (명륜2가)
2nd row강원도 속초시 미시령로3359번길 15 동부아파트 (교동, 동부아파트)
3rd row경기도 의정부시 평화로322번길 37 (호원동)
4th row경기도 부천시 안곡로 4 (괴안동, 삼익아파트)
5th row경기도 포천시 내촌면 금강로 2713
ValueCountFrequency (%)
서울특별시 3097
 
5.7%
경기도 2964
 
5.4%
인천광역시 695
 
1.3%
대전광역시 474
 
0.9%
광주광역시 474
 
0.9%
전라북도 452
 
0.8%
서구 446
 
0.8%
충청남도 432
 
0.8%
강남구 431
 
0.8%
강원도 408
 
0.7%
Other values (8249) 44667
81.9%
2023-12-13T06:28:48.686127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
45945
 
17.1%
동 10924
 
4.1%
시 10031
 
3.7%
로 9570
 
3.6%
) 9271
 
3.5%
( 9271
 
3.5%
구 7679
 
2.9%
1 7127
 
2.7%
도 5746
 
2.1%
서 5241
 
2.0%
Other values (542) 147576
55.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 166211
61.9%
Space Separator 45946
 
17.1%
Decimal Number 34165
 
12.7%
Close Punctuation 9272
 
3.5%
Open Punctuation 9272
 
3.5%
Other Punctuation 2462
 
0.9%
Dash Punctuation 935
 
0.3%
Uppercase Letter 102
 
< 0.1%
Lowercase Letter 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 10924
 
6.6%
시 10031
 
6.0%
로 9570
 
5.8%
구 7679
 
4.6%
도 5746
 
3.5%
서 5241
 
3.2%
길 3989
 
2.4%
경 3399
 
2.0%
울 3209
 
1.9%
별 3184
 
1.9%
Other values (502) 103239
62.1%
Uppercase Letter
ValueCountFrequency (%)
P 15
14.7%
T 13
12.7%
S 11
10.8%
A 9
8.8%
B 8
7.8%
L 8
7.8%
V 7
6.9%
G 6
 
5.9%
O 5
 
4.9%
K 5
 
4.9%
Other values (7) 15
14.7%
Decimal Number
ValueCountFrequency (%)
1 7127
20.9%
2 5177
15.2%
3 3873
11.3%
4 3168
9.3%
5 2959
8.7%
6 2732
 
8.0%
7 2465
 
7.2%
0 2376
 
7.0%
8 2234
 
6.5%
9 2054
 
6.0%
Other Punctuation
ValueCountFrequency (%)
, 1800
73.1%
， 649
 
26.4%
. 13
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
l 10
62.5%
i 5
31.2%
e 1
 
6.2%
Space Separator
ValueCountFrequency (%)
45945
> 99.9%
  1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 9271
> 99.9%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 9271
> 99.9%
[ 1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 935
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 166211
61.9%
Common 102052
38.0%
Latin 118
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 10924
 
6.6%
시 10031
 
6.0%
로 9570
 
5.8%
구 7679
 
4.6%
도 5746
 
3.5%
서 5241
 
3.2%
길 3989
 
2.4%
경 3399
 
2.0%
울 3209
 
1.9%
별 3184
 
1.9%
Other values (502) 103239
62.1%
Common
ValueCountFrequency (%)
45945
45.0%
) 9271
 
9.1%
( 9271
 
9.1%
1 7127
 
7.0%
2 5177
 
5.1%
3 3873
 
3.8%
4 3168
 
3.1%
5 2959
 
2.9%
6 2732
 
2.7%
7 2465
 
2.4%
Other values (10) 10064
 
9.9%
Latin
ValueCountFrequency (%)
P 15
12.7%
T 13
11.0%
S 11
9.3%
l 10
 
8.5%
A 9
 
7.6%
B 8
 
6.8%
L 8
 
6.8%
V 7
 
5.9%
G 6
 
5.1%
O 5
 
4.2%
Other values (10) 26
22.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 166211
61.9%
ASCII 101520
37.8%
None 650
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
45945
45.3%
) 9271
 
9.1%
( 9271
 
9.1%
1 7127
 
7.0%
2 5177
 
5.1%
3 3873
 
3.8%
4 3168
 
3.1%
5 2959
 
2.9%
6 2732
 
2.7%
7 2465
 
2.4%
Other values (28) 9532
 
9.4%
Hangul
ValueCountFrequency (%)
동 10924
 
6.6%
시 10031
 
6.0%
로 9570
 
5.8%
구 7679
 
4.6%
도 5746
 
3.5%
서 5241
 
3.2%
길 3989
 
2.4%
경 3399
 
2.0%
울 3209
 
1.9%
별 3184
 
1.9%
Other values (502) 103239
62.1%
None
ValueCountFrequency (%)
， 649
99.8%
  1
 
0.2%

승강기종류
Categorical

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
승객용
5657 
소방구조용
1524 
장애인용
 
518
자동차용
 
438
소방구조/장애인용
 
370
Other values (17)
1493 

Length

Max length12
Median length3
Mean length3.9146
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row전망용
2nd row소방구조용
3rd row소방구조용
4th row승객용
5th row승객용

Common Values

ValueCountFrequency (%)
승객용 5657
56.6%
소방구조용 1524
 
15.2%
장애인용 518
 
5.2%
자동차용 438
 
4.4%
소방구조/장애인용 370
 
3.7%
승객화물용 342
 
3.4%
화물용 307
 
3.1%
에스컬레이터 285
 
2.9%
전망용 125
 
1.2%
덤웨이터 121
 
1.2%
Other values (12) 313
 
3.1%

Length

2023-12-13T06:28:48.848629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
승객용 5657
56.6%
소방구조용 1524
 
15.2%
장애인용 518
 
5.2%
자동차용 438
 
4.4%
소방구조/장애인용 370
 
3.7%
승객화물용 342
 
3.4%
화물용 307
 
3.1%
에스컬레이터 285
 
2.9%
전망용 125
 
1.2%
덤웨이터 121
 
1.2%
Other values (12) 313
 
3.1%

호기
Real number (ℝ)

Distinct95
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.0456
Minimum1
Maximum159
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T06:28:48.969197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median4
Q311
95-th percentile28
Maximum159
Range158
Interquartile range (IQR)10

Descriptive statistics

Standard deviation11.039697
Coefficient of variation (CV)1.3721409
Kurtosis21.492212
Mean8.0456
Median Absolute Deviation (MAD)3
Skewness3.5980348
Sum80456
Variance121.87491
MonotonicityNot monotonic
2023-12-13T06:28:49.192062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 2922
29.2%
2 1190
11.9%
3 681
 
6.8%
4 583
 
5.8%
5 467
 
4.7%
6 410
 
4.1%
7 354
 
3.5%
8 308
 
3.1%
9 270
 
2.7%
10 266
 
2.7%
Other values (85) 2549
25.5%
ValueCountFrequency (%)
1 2922
29.2%
2 1190
11.9%
3 681
 
6.8%
4 583
 
5.8%
5 467
 
4.7%
6 410
 
4.1%
7 354
 
3.5%
8 308
 
3.1%
9 270
 
2.7%
10 266
 
2.7%
ValueCountFrequency (%)
159 1
 
< 0.1%
134 1
 
< 0.1%
119 3
< 0.1%
110 1
 
< 0.1%
106 2
< 0.1%
105 1
 
< 0.1%
102 1
 
< 0.1%
100 2
< 0.1%
99 1
 
< 0.1%
98 2
< 0.1%

최종검사일자
Real number (ℝ)

HIGH CORRELATION 

Distinct717
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20207534
Minimum19960202
Maximum20220111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T06:28:49.349755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19960202
5-th percentile20201026
Q120210419
median20210813
Q320211110
95-th percentile20211229
Maximum20220111
Range259909
Interquartile range (IQR)691

Descriptive statistics

Standard deviation20864.678
Coefficient of variation (CV)0.0010325198
Kurtosis67.849559
Mean20207534
Median Absolute Deviation (MAD)305
Skewness-7.8814729
Sum2.0207534 × 1011
Variance4.3533479 × 108
MonotonicityNot monotonic
2023-12-13T06:28:49.499018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20211223 84
 
0.8%
20211208 80
 
0.8%
20220107 80
 
0.8%
20211222 80
 
0.8%
20211229 78
 
0.8%
20220106 74
 
0.7%
20211228 71
 
0.7%
20211006 70
 
0.7%
20220104 70
 
0.7%
20211207 70
 
0.7%
Other values (707) 9243
92.4%
ValueCountFrequency (%)
19960202 1
< 0.1%
19960520 1
< 0.1%
19961203 1
< 0.1%
19970225 1
< 0.1%
19970331 1
< 0.1%
19970605 1
< 0.1%
19970628 1
< 0.1%
19971219 1
< 0.1%
19971227 1
< 0.1%
19980410 1
< 0.1%
ValueCountFrequency (%)
20220111 2
 
< 0.1%
20220110 10
 
0.1%
20220107 80
0.8%
20220106 74
0.7%
20220105 68
0.7%
20220104 70
0.7%
20220103 44
0.4%
20211231 29
 
0.3%
20211230 65
0.7%
20211229 78
0.8%

최종검사결과
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
합격
7652 
조건부합격
2092 
차기안전검사
 
134
불합격
 
118
보완
 
3

Length

Max length6
Median length2
Mean length2.6931
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row합격
2nd row합격
3rd row합격
4th row조건부합격
5th row합격

Common Values

ValueCountFrequency (%)
합격 7652
76.5%
조건부합격 2092
 
20.9%
차기안전검사 134
 
1.3%
불합격 118
 
1.2%
보완 3
 
< 0.1%
진행중 1
 
< 0.1%

Length

2023-12-13T06:28:50.109580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:28:50.220016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
합격 7652
76.5%
조건부합격 2092
 
20.9%
차기안전검사 134
 
1.3%
불합격 118
 
1.2%
보완 3
 
< 0.1%
진행중 1
 
< 0.1%

유효기간
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct900
Distinct (%)9.1%
Missing122
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean20215848
Minimum19970201
Maximum20231226
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T06:28:50.376607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19970201
5-th percentile20210923
Q120211221
median20220328
Q320220714
95-th percentile20221107
Maximum20231226
Range261025
Interquartile range (IQR)9493

Descriptive statistics

Standard deviation19562.401
Coefficient of variation (CV)0.00096767648
Kurtosis78.643416
Mean20215848
Median Absolute Deviation (MAD)396
Skewness-8.3641747
Sum1.9969215 × 1011
Variance3.8268753 × 108
MonotonicityNot monotonic
2023-12-13T06:28:50.514137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20211127 314
 
3.1%
20220527 70
 
0.7%
20220417 52
 
0.5%
20220325 49
 
0.5%
20220510 49
 
0.5%
20220207 47
 
0.5%
20220321 45
 
0.4%
20211214 43
 
0.4%
20211204 43
 
0.4%
20220418 43
 
0.4%
Other values (890) 9123
91.2%
(Missing) 122
 
1.2%
ValueCountFrequency (%)
19970201 1
< 0.1%
19970529 1
< 0.1%
19971202 1
< 0.1%
19980225 1
< 0.1%
19980330 1
< 0.1%
19980606 1
< 0.1%
19980627 1
< 0.1%
19981218 1
< 0.1%
19981226 1
< 0.1%
19990325 1
< 0.1%
ValueCountFrequency (%)
20231226 1
< 0.1%
20231212 1
< 0.1%
20231207 2
< 0.1%
20231203 1
< 0.1%
20231128 1
< 0.1%
20231126 1
< 0.1%
20231124 1
< 0.1%
20231123 1
< 0.1%
20231117 2
< 0.1%
20231111 1
< 0.1%

비고
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
운행중
9692 
휴지
 
308

Length

Max length3
Median length3
Mean length2.9692
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운행중 9692
96.9%
휴지 308
 
3.1%

Length

2023-12-13T06:28:50.653054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:28:50.773605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운행중 9692
96.9%
휴지 308
 
3.1%

Interactions

2023-12-13T06:28:46.722246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:28:45.981271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:28:46.370716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:28:46.862150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:28:46.119370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:28:46.481880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:28:46.991519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:28:46.253163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:28:46.607784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:28:50.843326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
승강기종류호기최종검사일자최종검사결과유효기간비고
승강기종류1.0000.1870.3560.2280.3320.445
호기0.1871.0000.0670.0000.0900.066
최종검사일자0.3560.0671.0000.2650.9990.949
최종검사결과0.2280.0000.2651.0000.0000.398
유효기간0.3320.0900.9990.0001.0000.982
비고0.4450.0660.9490.3980.9821.000
2023-12-13T06:28:50.973622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
승강기종류비고최종검사결과
승강기종류1.0000.3530.106
비고0.3531.0000.286
최종검사결과0.1060.2861.000
2023-12-13T06:28:51.079099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
호기최종검사일자유효기간승강기종류최종검사결과비고
호기1.0000.1130.0110.0700.0000.052
최종검사일자0.1131.0000.4080.1400.1430.809
유효기간0.0110.4081.0000.1290.0000.884
승강기종류0.0700.1400.1291.0000.1060.353
최종검사결과0.0000.1430.0000.1061.0000.286
비고0.0520.8090.8840.3530.2861.000

Missing values

2023-12-13T06:28:47.104710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:28:47.235882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

건물명주소승강기종류호기최종검사일자최종검사결과유효기간비고
31206명륜아남아파트서울특별시 종로구 창경궁로 265 (명륜2가)전망용620211208합격20220327운행중
8158동부아파트강원도 속초시 미시령로3359번길 15 동부아파트 (교동, 동부아파트)소방구조용1420210706합격20220428운행중
74294호원한주4차아파트경기도 의정부시 평화로322번길 37 (호원동)소방구조용420211230합격20220910운행중
92595괴안삼익3차아파트경기도 부천시 안곡로 4 (괴안동, 삼익아파트)승객용2220210106조건부합격20211125운행중
59541그랜드모텔경기도 포천시 내촌면 금강로 2713승객용120210319합격20210909운행중
58770부평동아2단지아파트인천광역시 부평구 부흥로 246 (부평동)소방구조용420211222합격20220304운행중
26944한라빌딩서울특별시 강남구 테헤란로25길 30 (역삼동)승객용120210506합격20211105운행중
71829원산동라인아파트전라남도 목포시 원산주택로 25 (산정동)승객용1020210825합격20220613운행중
86686삼성미도봉선화아파트경기도 의왕시 등칙골1길 12 (오전동)소방구조/장애인용120211208합격20220822운행중
94402성포주공11단지아파트경기도 안산시 상록구 충장로 533 (성포동)승객용1320210625합격20211116운행중
건물명주소승강기종류호기최종검사일자최종검사결과유효기간비고
81409보성유원아파트경기도 수원시 권선구 권중로 110 (권선동)승객용2520211102합격20220221운행중
96118까치마을롯데선경APT경기도 성남시 분당구 미금일로 58 (구미동)소방구조용2020210720합격20211208운행중
26482송암빌딩서울특별시 서초구 양재대로 246 (염곡동)장애인용220210412합격20220227운행중
213212001아울렛 당산점서울특별시 영등포구 양평로 47 (당산동5가)자동차용420211007합격20220130운행중
48262마장세림아파트서울특별시 성동구 마장로42길 16 (마장동)승객용1220201229합격20211228운행중
46642삼성전자(천안캠퍼스)충청남도 천안시 서북구 번영로 465 삼성전자(천안캠퍼스)승객화물용3220211022합격20220716운행중
70725달빛마을1단지아파트경기도 고양시 덕양구 화중로 219 (화정동，달빛마을1단지아파트)소방구조용4420210527합격20211009운행중
92307인천교통공사 부평역사인천광역시 부평구 광장로 4 (부평동)장애인용120210705조건부합격20220602운행중
12125정우2차아파트강원도 강릉시 주문진읍 연주로 291-6 (정우2차아파트)승객용120210623조건부합격20211127운행중
56563백마5단지쌍용한성아파트경기도 고양시 일산동구 경의로 333 (마두동, 백마마을5단지아파트)소방구조용720211213합격20220317운행중