Overview

Dataset statistics

Number of variables7
Number of observations301
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.2 KiB
Average record size in memory58.4 B

Variable types

Numeric2
Text4
Categorical1

Dataset

Description경상북도 영덕군에서 관리하고 있는 임대농기계 종류, 기종, 형식, 임대료 등 관련 농업정보를 아래와 같이 제공하고자 합니다.
URLhttps://www.data.go.kr/data/3076773/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
순번 has unique valuesUnique
기종 has unique valuesUnique
임대료(원) has 4 (1.3%) zerosZeros

Reproduction

Analysis started2023-12-12 03:31:35.294738
Analysis finished2023-12-12 03:31:36.433588
Duration1.14 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct301
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean152.33887
Minimum1
Maximum304
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T12:31:36.522686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile16
Q176
median152
Q3229
95-th percentile289
Maximum304
Range303
Interquartile range (IQR)153

Descriptive statistics

Standard deviation88.187441
Coefficient of variation (CV)0.57888995
Kurtosis-1.2067045
Mean152.33887
Median Absolute Deviation (MAD)77
Skewness0.0049688459
Sum45854
Variance7777.0248
MonotonicityStrictly increasing
2023-12-12T12:31:36.686903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
211 1
 
0.3%
209 1
 
0.3%
208 1
 
0.3%
207 1
 
0.3%
206 1
 
0.3%
205 1
 
0.3%
202 1
 
0.3%
201 1
 
0.3%
200 1
 
0.3%
Other values (291) 291
96.7%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
304 1
0.3%
303 1
0.3%
302 1
0.3%
301 1
0.3%
300 1
0.3%
299 1
0.3%
298 1
0.3%
297 1
0.3%
296 1
0.3%
295 1
0.3%

종류
Text

Distinct56
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-12T12:31:36.934043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length8.6578073
Min length3

Characters and Unicode

Total characters2606
Distinct characters105
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)4.0%

Sample

1st row구굴기(보행관리기)
2nd row구굴기(보행관리기)
3rd row구굴기(보행관리기)
4th row구굴기(보행관리기)
5th row굴삭기(농업용굴삭기)
ValueCountFrequency (%)
로타베이터(농업용트랙터 25
 
8.3%
농업용트랙터 18
 
6.0%
동력제초기 17
 
5.6%
동력탈곡기 17
 
5.6%
수확기(보행경운기 11
 
3.7%
파종기 11
 
3.7%
보행관리기 11
 
3.7%
동력파쇄기 10
 
3.3%
휴립피복기(보행관리기 9
 
3.0%
농업용동력운반차 9
 
3.0%
Other values (46) 163
54.2%
2023-12-12T12:31:37.348364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 284
 
10.9%
) 150
 
5.8%
( 150
 
5.8%
용 142
 
5.4%
농 126
 
4.8%
터 125
 
4.8%
업 120
 
4.6%
트 102
 
3.9%
랙 100
 
3.8%
동 80
 
3.1%
Other values (95) 1227
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2306
88.5%
Close Punctuation 150
 
5.8%
Open Punctuation 150
 
5.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 284
 
12.3%
용 142
 
6.2%
농 126
 
5.5%
터 125
 
5.4%
업 120
 
5.2%
트 102
 
4.4%
랙 100
 
4.3%
동 80
 
3.5%
행 65
 
2.8%
보 65
 
2.8%
Other values (93) 1097
47.6%
Close Punctuation
ValueCountFrequency (%)
) 150
100.0%
Open Punctuation
ValueCountFrequency (%)
( 150
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2306
88.5%
Common 300
 
11.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 284
 
12.3%
용 142
 
6.2%
농 126
 
5.5%
터 125
 
5.4%
업 120
 
5.2%
트 102
 
4.4%
랙 100
 
4.3%
동 80
 
3.5%
행 65
 
2.8%
보 65
 
2.8%
Other values (93) 1097
47.6%
Common
ValueCountFrequency (%)
) 150
50.0%
( 150
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2306
88.5%
ASCII 300
 
11.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 284
 
12.3%
용 142
 
6.2%
농 126
 
5.5%
터 125
 
5.4%
업 120
 
5.2%
트 102
 
4.4%
랙 100
 
4.3%
동 80
 
3.5%
행 65
 
2.8%
보 65
 
2.8%
Other values (93) 1097
47.6%
ASCII
ValueCountFrequency (%)
) 150
50.0%
( 150
50.0%

기종
Text

UNIQUE 

Distinct301
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-12T12:31:37.615041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length13.07309
Min length8

Characters and Unicode

Total characters3935
Distinct characters143
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique301 ?
Unique (%)100.0%

Sample

1st row관리기(구굴)-01-16
2nd row관리기(구굴)-02-16
3rd row관리기(구굴)-17-01
4th row관리기(구굴)-17-02
5th row농용굴삭기-01-16
ValueCountFrequency (%)
설치 2
 
0.7%
심토파쇄기-01-22 1
 
0.3%
고구마순제거기(경)-01-16 1
 
0.3%
잔가지파쇄기-01-19 1
 
0.3%
잔가지파쇄기-01-17 1
 
0.3%
잔가지파쇄기(트)-23-02 1
 
0.3%
잔가지파쇄기(트)-02-23 1
 
0.3%
원거리방제기16-01 1
 
0.3%
심토파쇄기-22-01 1
 
0.3%
심토파쇄기-01-13 1
 
0.3%
Other values (293) 293
96.4%
2023-12-12T12:31:38.203475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 572
 
14.5%
1 362
 
9.2%
0 360
 
9.1%
기 245
 
6.2%
2 217
 
5.5%
( 175
 
4.4%
) 175
 
4.4%
트 87
 
2.2%
리 79
 
2.0%
3 74
 
1.9%
Other values (133) 1589
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1740
44.2%
Decimal Number 1233
31.3%
Dash Punctuation 572
 
14.5%
Open Punctuation 175
 
4.4%
Close Punctuation 175
 
4.4%
Other Punctuation 25
 
0.6%
Uppercase Letter 12
 
0.3%
Space Separator 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 245
 
14.1%
트 87
 
5.0%
리 79
 
4.5%
동 60
 
3.4%
력 58
 
3.3%
관 47
 
2.7%
터 43
 
2.5%
파 41
 
2.4%
로 41
 
2.4%
용 37
 
2.1%
Other values (115) 1002
57.6%
Decimal Number
ValueCountFrequency (%)
1 362
29.4%
0 360
29.2%
2 217
17.6%
3 74
 
6.0%
9 55
 
4.5%
6 54
 
4.4%
8 45
 
3.6%
7 32
 
2.6%
4 21
 
1.7%
5 13
 
1.1%
Other Punctuation
ValueCountFrequency (%)
/ 14
56.0%
. 10
40.0%
, 1
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 572
100.0%
Open Punctuation
ValueCountFrequency (%)
( 175
100.0%
Close Punctuation
ValueCountFrequency (%)
) 175
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 12
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2183
55.5%
Hangul 1740
44.2%
Latin 12
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 245
 
14.1%
트 87
 
5.0%
리 79
 
4.5%
동 60
 
3.4%
력 58
 
3.3%
관 47
 
2.7%
터 43
 
2.5%
파 41
 
2.4%
로 41
 
2.4%
용 37
 
2.1%
Other values (115) 1002
57.6%
Common
ValueCountFrequency (%)
- 572
26.2%
1 362
16.6%
0 360
16.5%
2 217
 
9.9%
( 175
 
8.0%
) 175
 
8.0%
3 74
 
3.4%
9 55
 
2.5%
6 54
 
2.5%
8 45
 
2.1%
Other values (7) 94
 
4.3%
Latin
ValueCountFrequency (%)
S 12
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2195
55.8%
Hangul 1740
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 572
26.1%
1 362
16.5%
0 360
16.4%
2 217
 
9.9%
( 175
 
8.0%
) 175
 
8.0%
3 74
 
3.4%
9 55
 
2.5%
6 54
 
2.5%
8 45
 
2.1%
Other values (8) 106
 
4.8%
Hangul
ValueCountFrequency (%)
기 245
 
14.1%
트 87
 
5.0%
리 79
 
4.5%
동 60
 
3.4%
력 58
 
3.3%
관 47
 
2.7%
터 43
 
2.5%
파 41
 
2.4%
로 41
 
2.4%
용 37
 
2.1%
Other values (115) 1002
57.6%

형식
Text

Distinct125
Distinct (%)41.5%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-12T12:31:38.558492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length7.7641196
Min length3

Characters and Unicode

Total characters2337
Distinct characters44
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)17.9%

Sample

1st rowTKC-450
2nd rowTKC-450
3rd rowTKC-950E
4th rowTKC-950E
5th rowU-10-3S
ValueCountFrequency (%)
yj150osg 12
 
3.8%
hti-r950-4wd 9
 
2.8%
f3015 8
 
2.5%
dt100n 8
 
2.5%
hg10a 8
 
2.5%
wj165sa 8
 
2.5%
u-10-3s 7
 
2.2%
drk-650 7
 
2.2%
amc-1000sm 7
 
2.2%
hti-r1600 6
 
1.9%
Other values (118) 238
74.8%
2023-12-12T12:31:39.178081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 396
16.9%
- 216
 
9.2%
1 168
 
7.2%
T 135
 
5.8%
5 120
 
5.1%
S 111
 
4.7%
H 100
 
4.3%
D 90
 
3.9%
2 70
 
3.0%
C 69
 
3.0%
Other values (34) 862
36.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1116
47.8%
Decimal Number 973
41.6%
Dash Punctuation 216
 
9.2%
Space Separator 17
 
0.7%
Other Punctuation 8
 
0.3%
Other Letter 3
 
0.1%
Lowercase Letter 2
 
0.1%
Letter Number 2
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
T 135
12.1%
S 111
 
9.9%
H 100
 
9.0%
D 90
 
8.1%
C 69
 
6.2%
M 66
 
5.9%
A 62
 
5.6%
R 61
 
5.5%
K 58
 
5.2%
G 50
 
4.5%
Other values (15) 314
28.1%
Decimal Number
ValueCountFrequency (%)
0 396
40.7%
1 168
17.3%
5 120
 
12.3%
2 70
 
7.2%
6 61
 
6.3%
3 44
 
4.5%
4 43
 
4.4%
8 36
 
3.7%
7 19
 
2.0%
9 16
 
1.6%
Other Letter
ValueCountFrequency (%)
블 1
33.3%
랙 1
33.3%
홀 1
33.3%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅲ 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 216
100.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 8
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1214
51.9%
Latin 1120
47.9%
Hangul 3
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
T 135
12.1%
S 111
 
9.9%
H 100
 
8.9%
D 90
 
8.0%
C 69
 
6.2%
M 66
 
5.9%
A 62
 
5.5%
R 61
 
5.4%
K 58
 
5.2%
G 50
 
4.5%
Other values (18) 318
28.4%
Common
ValueCountFrequency (%)
0 396
32.6%
- 216
17.8%
1 168
13.8%
5 120
 
9.9%
2 70
 
5.8%
6 61
 
5.0%
3 44
 
3.6%
4 43
 
3.5%
8 36
 
3.0%
7 19
 
1.6%
Other values (3) 41
 
3.4%
Hangul
ValueCountFrequency (%)
블 1
33.3%
랙 1
33.3%
홀 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2332
99.8%
Hangul 3
 
0.1%
Number Forms 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 396
17.0%
- 216
 
9.3%
1 168
 
7.2%
T 135
 
5.8%
5 120
 
5.1%
S 111
 
4.8%
H 100
 
4.3%
D 90
 
3.9%
2 70
 
3.0%
C 69
 
3.0%
Other values (29) 857
36.7%
Hangul
ValueCountFrequency (%)
블 1
33.3%
랙 1
33.3%
홀 1
33.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅲ 1
50.0%

규격
Text

Distinct130
Distinct (%)43.3%
Missing1
Missing (%)0.3%
Memory size2.5 KiB
2023-12-12T12:31:39.555455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length14
Mean length7.3633333
Min length2

Characters and Unicode

Total characters2209
Distinct characters126
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

Unique58 ?
Unique (%)19.3%

Sample

1st row4.5마력,폭250mm
2nd row4.5마력,폭250mm
3rd row전기시동/7.7마력(철바퀴)
4th row전기시동/7.7마력
5th row0.016m3
ValueCountFrequency (%)
150cm 12
 
3.5%
1조 9
 
2.6%
배터리형 8
 
2.3%
디젤7.5kw 8
 
2.3%
95cm,최대20마력 8
 
2.3%
65cm 7
 
2.1%
85cm 7
 
2.1%
0.016m3 7
 
2.1%
6.2kw 7
 
2.1%
가솔린 7
 
2.1%
Other values (125) 261
76.5%
2023-12-12T12:31:40.171673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 253
 
11.5%
m 133
 
6.0%
5 129
 
5.8%
1 121
 
5.5%
6 111
 
5.0%
. 84
 
3.8%
2 83
 
3.8%
, 82
 
3.7%
3 59
 
2.7%
c 56
 
2.5%
Other values (116) 1098
49.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 884
40.0%
Other Letter 606
27.4%
Lowercase Letter 299
 
13.5%
Other Punctuation 210
 
9.5%
Uppercase Letter 133
 
6.0%
Space Separator 41
 
1.9%
Open Punctuation 14
 
0.6%
Close Punctuation 14
 
0.6%
Math Symbol 8
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
력 52
 
8.6%
마 52
 
8.6%
폭 38
 
6.3%
형 32
 
5.3%
조 21
 
3.5%
식 20
 
3.3%
리 14
 
2.3%
기 12
 
2.0%
터 12
 
2.0%
동 11
 
1.8%
Other values (82) 342
56.4%
Decimal Number
ValueCountFrequency (%)
0 253
28.6%
5 129
14.6%
1 121
13.7%
6 111
12.6%
2 83
 
9.4%
3 59
 
6.7%
4 54
 
6.1%
7 30
 
3.4%
8 23
 
2.6%
9 21
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
W 39
29.3%
K 31
23.3%
C 24
18.0%
M 22
16.5%
L 11
 
8.3%
D 2
 
1.5%
V 2
 
1.5%
T 2
 
1.5%
Lowercase Letter
ValueCountFrequency (%)
m 133
44.5%
c 56
18.7%
k 46
 
15.4%
g 28
 
9.4%
h 17
 
5.7%
w 12
 
4.0%
t 7
 
2.3%
Other Punctuation
ValueCountFrequency (%)
. 84
40.0%
, 82
39.0%
/ 41
19.5%
* 3
 
1.4%
Math Symbol
ValueCountFrequency (%)
~ 7
87.5%
× 1
 
12.5%
Space Separator
ValueCountFrequency (%)
41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1171
53.0%
Hangul 606
27.4%
Latin 432
 
19.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
력 52
 
8.6%
마 52
 
8.6%
폭 38
 
6.3%
형 32
 
5.3%
조 21
 
3.5%
식 20
 
3.3%
리 14
 
2.3%
기 12
 
2.0%
터 12
 
2.0%
동 11
 
1.8%
Other values (82) 342
56.4%
Common
ValueCountFrequency (%)
0 253
21.6%
5 129
11.0%
1 121
10.3%
6 111
9.5%
. 84
 
7.2%
2 83
 
7.1%
, 82
 
7.0%
3 59
 
5.0%
4 54
 
4.6%
41
 
3.5%
Other values (9) 154
13.2%
Latin
ValueCountFrequency (%)
m 133
30.8%
c 56
13.0%
k 46
 
10.6%
W 39
 
9.0%
K 31
 
7.2%
g 28
 
6.5%
C 24
 
5.6%
M 22
 
5.1%
h 17
 
3.9%
w 12
 
2.8%
Other values (5) 24
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1602
72.5%
Hangul 606
 
27.4%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 253
15.8%
m 133
 
8.3%
5 129
 
8.1%
1 121
 
7.6%
6 111
 
6.9%
. 84
 
5.2%
2 83
 
5.2%
, 82
 
5.1%
3 59
 
3.7%
c 56
 
3.5%
Other values (23) 491
30.6%
Hangul
ValueCountFrequency (%)
력 52
 
8.6%
마 52
 
8.6%
폭 38
 
6.3%
형 32
 
5.3%
조 21
 
3.5%
식 20
 
3.3%
리 14
 
2.3%
기 12
 
2.0%
터 12
 
2.0%
동 11
 
1.8%
Other values (82) 342
56.4%
None
ValueCountFrequency (%)
× 1
100.0%

임대료(원)
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31212.625
Minimum0
Maximum150000
Zeros4
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T12:31:40.367083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5000
Q110000
median20000
Q350000
95-th percentile70000
Maximum150000
Range150000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation23641.94
Coefficient of variation (CV)0.75744798
Kurtosis2.9768526
Mean31212.625
Median Absolute Deviation (MAD)10000
Skewness1.3029041
Sum9395000
Variance5.5894131 × 108
MonotonicityNot monotonic
2023-12-12T12:31:40.556609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
10000 74
24.6%
20000 61
20.3%
30000 47
15.6%
50000 42
14.0%
60000 33
11.0%
5000 17
 
5.6%
70000 16
 
5.3%
0 4
 
1.3%
80000 3
 
1.0%
150000 2
 
0.7%
ValueCountFrequency (%)
0 4
 
1.3%
5000 17
 
5.6%
10000 74
24.6%
20000 61
20.3%
30000 47
15.6%
50000 42
14.0%
60000 33
11.0%
70000 16
 
5.3%
80000 3
 
1.0%
100000 2
 
0.7%
ValueCountFrequency (%)
150000 2
 
0.7%
100000 2
 
0.7%
80000 3
 
1.0%
70000 16
 
5.3%
60000 33
11.0%
50000 42
14.0%
30000 47
15.6%
20000 61
20.3%
10000 74
24.6%
5000 17
 
5.6%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-08-25
301 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-25
2nd row2023-08-25
3rd row2023-08-25
4th row2023-08-25
5th row2023-08-25

Common Values

ValueCountFrequency (%)
2023-08-25 301
100.0%

Length

2023-12-12T12:31:40.738362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:31:40.888389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-25 301
100.0%

Interactions

2023-12-12T12:31:35.905979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:31:35.668896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:31:36.027935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:31:35.785406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:31:40.983724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번종류임대료(원)
순번1.0000.9910.506
종류0.9911.0000.977
임대료(원)0.5060.9771.000
2023-12-12T12:31:41.114290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번임대료(원)
순번1.000-0.260
임대료(원)-0.2601.000

Missing values

2023-12-12T12:31:36.196616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:31:36.365458image/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

순번종류기종형식규격임대료(원)데이터기준일자
01구굴기(보행관리기)관리기(구굴)-01-16TKC-4504.5마력,폭250mm100002023-08-25
12구굴기(보행관리기)관리기(구굴)-02-16TKC-4504.5마력,폭250mm100002023-08-25
23구굴기(보행관리기)관리기(구굴)-17-01TKC-950E전기시동/7.7마력(철바퀴)200002023-08-25
34구굴기(보행관리기)관리기(구굴)-17-02TKC-950E전기시동/7.7마력200002023-08-25
45굴삭기(농업용굴삭기)농용굴삭기-01-16U-10-3S0.016m3700002023-08-25
56굴삭기(농업용굴삭기)농용굴삭기-01-18U-10-3S0.016m3700002023-08-25
67굴삭기(농업용굴삭기)농용굴삭기-01-20TE10000.016m3700002023-08-25
78굴삭기(농업용굴삭기)농용굴삭기-02-16U-10-3S0.016m3700002023-08-25
89굴삭기(농업용굴삭기)농용굴삭기-18-01U-10-3S0.016m3700002023-08-25
910굴삭기(농업용굴삭기)농용굴삭기-20-01U-10-3S0.016m3700002023-08-25
순번종류기종형식규격임대료(원)데이터기준일자
291295휴립피복기(보행관리기)관리기(휴.피)-02-19TFM-8006.5마력,1370mm200002023-08-25
292296휴립피복기(보행관리기)관리기(휴.피)-16-01FM-1206.5마력,1370mm200002023-08-25
293297휴립피복기(보행관리기)관리기(휴.피)-16-02-99TFM-8007마력,1370mm200002023-08-25
294298휴립피복기(보행관리기)관리기(휴.피)-19-01TFM-8006.6KW/작업폭137CM200002023-08-25
295299휴립피복기(보행관리기)관리기(휴.피)-19-02TFM-8006.6KW/작업폭137CM200002023-08-25
296300휴립피복기(보행관리기)관리기(휴.피)-19-03FM-1206.2KW/3.9KW200002023-08-25
297301휴립피복기(보행관리기)관리기(휴.피)-19-04FM-1206.2KW/3.9KW200002023-08-25
298302휴립피복기(승용관리기)휴립피복(승용관리기)-01-17TM14휴립폭40~60cm200002023-08-25
299303휴립피복기(승용관리기)휴립피복(승용관리기)-01-19TM14-H휴립폭40~60cm200002023-08-25
300304휴립피복기(승용관리기)휴립피복(승용관리기)-19-01TM14-H휴립폭40~60cm200002023-08-25