Overview

Dataset statistics

Number of variables9
Number of observations690
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory50.7 KiB
Average record size in memory75.2 B

Variable types

Numeric3
Categorical3
Text3

Dataset

Description복지용구 품목별 제품안내 자료 입니다.(공개 목록 : 품목명, 제품명, 제품코드, 제공방식, 제공가격, 업체명 등)
Author국민건강보험공단
URLhttps://www.data.go.kr/data/3051417/fileData.do

Alerts

품목명 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
제공방식 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
연번 is highly overall correlated with 판매금액(원) and 3 other fieldsHigh correlation
판매금액(원) is highly overall correlated with 연번 and 1 other fieldsHigh correlation
대여금액(원) is highly overall correlated with 연번 and 2 other fieldsHigh correlation
제조구분 is highly overall correlated with 품목명High correlation
연번 has unique valuesUnique
제품명 has unique valuesUnique
제품코드 has unique valuesUnique
판매금액(원) has 190 (27.5%) zerosZeros
대여금액(원) has 479 (69.4%) zerosZeros

Reproduction

Analysis started2024-04-06 08:36:57.299173
Analysis finished2024-04-06 08:37:02.029462
Duration4.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct690
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean345.5
Minimum1
Maximum690
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.2 KiB
2024-04-06T17:37:02.212990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile35.45
Q1173.25
median345.5
Q3517.75
95-th percentile655.55
Maximum690
Range689
Interquartile range (IQR)344.5

Descriptive statistics

Standard deviation199.33013
Coefficient of variation (CV)0.57693235
Kurtosis-1.2
Mean345.5
Median Absolute Deviation (MAD)172.5
Skewness0
Sum238395
Variance39732.5
MonotonicityStrictly increasing
2024-04-06T17:37:02.656616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
465 1
 
0.1%
457 1
 
0.1%
458 1
 
0.1%
459 1
 
0.1%
460 1
 
0.1%
461 1
 
0.1%
462 1
 
0.1%
463 1
 
0.1%
464 1
 
0.1%
Other values (680) 680
98.6%
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 (%)
690 1
0.1%
689 1
0.1%
688 1
0.1%
687 1
0.1%
686 1
0.1%
685 1
0.1%
684 1
0.1%
683 1
0.1%
682 1
0.1%
681 1
0.1%

품목명
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
미끄럼 방지용품
112 
안전손잡이
107 
전동침대
86 
수동휠체어
67 
요실금팬티
57 
Other values (13)
261 

Length

Max length13
Median length11
Mean length10.172464
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미끄럼 방지용품 112
16.2%
안전손잡이 107
15.5%
전동침대 86
12.5%
수동휠체어 67
9.7%
요실금팬티 57
8.3%
성인용보행기 57
8.3%
지팡이 34
 
4.9%
자세변환용구 28
 
4.1%
욕창예방 매트리스 23
 
3.3%
욕창예방방석 23
 
3.3%
Other values (8) 96
13.9%

Length

2024-04-06T17:37:03.243958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
미끄럼 112
13.6%
방지용품 112
13.6%
안전손잡이 107
13.0%
전동침대 86
10.4%
수동휠체어 67
8.1%
요실금팬티 57
6.9%
성인용보행기 57
6.9%
지팡이 34
 
4.1%
자세변환용구 28
 
3.4%
욕창예방방석 23
 
2.8%
Other values (10) 142
17.2%

제품명
Text

UNIQUE 

Distinct690
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
2024-04-06T17:37:04.165869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length7.6623188
Min length2

Characters and Unicode

Total characters5287
Distinct characters233
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique690 ?
Unique (%)100.0%

Sample

1st rowSAMB
2nd rowBFMB4
3rd rowBFMB5
4th rowSKC-600
5th rowSKC-660
ValueCountFrequency (%)
miki-w 4
 
0.5%
카본 4
 
0.5%
mute 3
 
0.4%
sbm 3
 
0.4%
partner 3
 
0.4%
tpu 3
 
0.4%
ad-ⅲ 3
 
0.4%
나이팅게일단차해소기 3
 
0.4%
백건 3
 
0.4%
위풋 2
 
0.2%
Other values (754) 780
96.2%
2024-04-06T17:37:05.217368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 705
 
13.3%
- 511
 
9.7%
1 331
 
6.3%
S 238
 
4.5%
2 192
 
3.6%
M 182
 
3.4%
3 174
 
3.3%
B 161
 
3.0%
A 147
 
2.8%
H 135
 
2.6%
Other values (223) 2511
47.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 2083
39.4%
Decimal Number 1700
32.2%
Other Letter 544
 
10.3%
Dash Punctuation 511
 
9.7%
Lowercase Letter 218
 
4.1%
Space Separator 122
 
2.3%
Open Punctuation 47
 
0.9%
Close Punctuation 46
 
0.9%
Letter Number 9
 
0.2%
Other Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 40
 
7.4%
스 19
 
3.5%
나 18
 
3.3%
일 15
 
2.8%
게 13
 
2.4%
팅 12
 
2.2%
트 12
 
2.2%
라 10
 
1.8%
지 9
 
1.7%
티 9
 
1.7%
Other values (153) 387
71.1%
Uppercase Letter
ValueCountFrequency (%)
S 238
 
11.4%
M 182
 
8.7%
B 161
 
7.7%
A 147
 
7.1%
H 135
 
6.5%
P 126
 
6.0%
C 116
 
5.6%
T 100
 
4.8%
D 92
 
4.4%
L 89
 
4.3%
Other values (16) 697
33.5%
Lowercase Letter
ValueCountFrequency (%)
o 28
12.8%
e 27
12.4%
r 23
10.6%
i 22
10.1%
c 22
10.1%
l 12
 
5.5%
t 11
 
5.0%
p 10
 
4.6%
a 9
 
4.1%
n 7
 
3.2%
Other values (12) 47
21.6%
Decimal Number
ValueCountFrequency (%)
0 705
41.5%
1 331
19.5%
2 192
 
11.3%
3 174
 
10.2%
4 90
 
5.3%
5 60
 
3.5%
6 53
 
3.1%
7 35
 
2.1%
8 31
 
1.8%
9 29
 
1.7%
Other Punctuation
ValueCountFrequency (%)
: 2
33.3%
' 2
33.3%
/ 1
16.7%
. 1
16.7%
Letter Number
ValueCountFrequency (%)
Ⅲ 5
55.6%
Ⅰ 2
 
22.2%
Ⅱ 2
 
22.2%
Dash Punctuation
ValueCountFrequency (%)
- 511
100.0%
Space Separator
ValueCountFrequency (%)
122
100.0%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2433
46.0%
Latin 2310
43.7%
Hangul 542
 
10.3%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 40
 
7.4%
스 19
 
3.5%
나 18
 
3.3%
일 15
 
2.8%
게 13
 
2.4%
팅 12
 
2.2%
트 12
 
2.2%
라 10
 
1.8%
지 9
 
1.7%
티 9
 
1.7%
Other values (152) 385
71.0%
Latin
ValueCountFrequency (%)
S 238
 
10.3%
M 182
 
7.9%
B 161
 
7.0%
A 147
 
6.4%
H 135
 
5.8%
P 126
 
5.5%
C 116
 
5.0%
T 100
 
4.3%
D 92
 
4.0%
L 89
 
3.9%
Other values (41) 924
40.0%
Common
ValueCountFrequency (%)
0 705
29.0%
- 511
21.0%
1 331
13.6%
2 192
 
7.9%
3 174
 
7.2%
122
 
5.0%
4 90
 
3.7%
5 60
 
2.5%
6 53
 
2.2%
( 47
 
1.9%
Other values (9) 148
 
6.1%
Han
ValueCountFrequency (%)
孝 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4734
89.5%
Hangul 542
 
10.3%
Number Forms 9
 
0.2%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 705
 
14.9%
- 511
 
10.8%
1 331
 
7.0%
S 238
 
5.0%
2 192
 
4.1%
M 182
 
3.8%
3 174
 
3.7%
B 161
 
3.4%
A 147
 
3.1%
H 135
 
2.9%
Other values (57) 1958
41.4%
Hangul
ValueCountFrequency (%)
이 40
 
7.4%
스 19
 
3.5%
나 18
 
3.3%
일 15
 
2.8%
게 13
 
2.4%
팅 12
 
2.2%
트 12
 
2.2%
라 10
 
1.8%
지 9
 
1.7%
티 9
 
1.7%
Other values (152) 385
71.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 5
55.6%
Ⅰ 2
 
22.2%
Ⅱ 2
 
22.2%
CJK
ValueCountFrequency (%)
孝 2
100.0%

제품코드
Text

UNIQUE 

Distinct690
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
2024-04-06T17:37:05.700314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters8280
Distinct characters17
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique690 ?
Unique (%)100.0%

Sample

1st rowT03030025001
2nd rowT03030025104
3rd rowT03030025105
4th rowT03030006001
5th rowT03030006002
ValueCountFrequency (%)
t03030025001 1
 
0.1%
m18030054002 1
 
0.1%
t09060199002 1
 
0.1%
m18030057503 1
 
0.1%
t09060199003 1
 
0.1%
t09061147103 1
 
0.1%
t09061147102 1
 
0.1%
t09061138101 1
 
0.1%
t09061138102 1
 
0.1%
t09061138103 1
 
0.1%
Other values (680) 680
98.6%
2024-04-06T17:37:07.579314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3139
37.9%
1 1416
17.1%
3 954
 
11.5%
6 424
 
5.1%
9 372
 
4.5%
8 349
 
4.2%
2 333
 
4.0%
F 237
 
2.9%
5 236
 
2.9%
4 228
 
2.8%
Other values (7) 592
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7590
91.7%
Uppercase Letter 690
 
8.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3139
41.4%
1 1416
18.7%
3 954
 
12.6%
6 424
 
5.6%
9 372
 
4.9%
8 349
 
4.6%
2 333
 
4.4%
5 236
 
3.1%
4 228
 
3.0%
7 139
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
F 237
34.3%
M 186
27.0%
S 101
14.6%
T 83
 
12.0%
H 51
 
7.4%
B 23
 
3.3%
C 9
 
1.3%

Most occurring scripts

ValueCountFrequency (%)
Common 7590
91.7%
Latin 690
 
8.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3139
41.4%
1 1416
18.7%
3 954
 
12.6%
6 424
 
5.6%
9 372
 
4.9%
8 349
 
4.6%
2 333
 
4.4%
5 236
 
3.1%
4 228
 
3.0%
7 139
 
1.8%
Latin
ValueCountFrequency (%)
F 237
34.3%
M 186
27.0%
S 101
14.6%
T 83
 
12.0%
H 51
 
7.4%
B 23
 
3.3%
C 9
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8280
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3139
37.9%
1 1416
17.1%
3 954
 
11.5%
6 424
 
5.1%
9 372
 
4.5%
8 349
 
4.2%
2 333
 
4.0%
F 237
 
2.9%
5 236
 
2.9%
4 228
 
2.8%
Other values (7) 592
 
7.1%

판매금액(원)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct317
Distinct (%)45.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77130.87
Minimum0
Maximum915000
Zeros190
Zeros (%)27.5%
Negative0
Negative (%)0.0%
Memory size6.2 KiB
2024-04-06T17:37:08.042396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median31750
Q379900
95-th percentile307550
Maximum915000
Range915000
Interquartile range (IQR)79900

Descriptive statistics

Standard deviation121976.66
Coefficient of variation (CV)1.5814247
Kurtosis8.962199
Mean77130.87
Median Absolute Deviation (MAD)31750
Skewness2.6463174
Sum53220300
Variance1.4878307 × 1010
MonotonicityNot monotonic
2024-04-06T17:37:08.576943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 190
27.5%
33200 13
 
1.9%
3100 12
 
1.7%
3300 9
 
1.3%
25600 8
 
1.2%
44400 7
 
1.0%
28900 6
 
0.9%
201000 6
 
0.9%
3900 6
 
0.9%
17500 4
 
0.6%
Other values (307) 429
62.2%
ValueCountFrequency (%)
0 190
27.5%
2900 2
 
0.3%
3000 4
 
0.6%
3100 12
 
1.7%
3200 3
 
0.4%
3300 9
 
1.3%
3400 3
 
0.4%
3500 4
 
0.6%
3600 2
 
0.3%
3700 3
 
0.4%
ValueCountFrequency (%)
915000 1
0.1%
800000 1
0.1%
720000 1
0.1%
663000 1
0.1%
606000 1
0.1%
574000 1
0.1%
568000 2
0.3%
567000 1
0.1%
544000 1
0.1%
529000 1
0.1%

대여금액(원)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct159
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15023.188
Minimum0
Maximum133000
Zeros479
Zeros (%)69.4%
Negative0
Negative (%)0.0%
Memory size6.2 KiB
2024-04-06T17:37:09.014057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q325400
95-th percentile73800
Maximum133000
Range133000
Interquartile range (IQR)25400

Descriptive statistics

Standard deviation26711.537
Coefficient of variation (CV)1.7780205
Kurtosis2.2205901
Mean15023.188
Median Absolute Deviation (MAD)0
Skewness1.7651045
Sum10366000
Variance7.135062 × 108
MonotonicityNot monotonic
2024-04-06T17:37:09.484149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 479
69.4%
71700 6
 
0.9%
71400 5
 
0.7%
75200 4
 
0.6%
70400 3
 
0.4%
72000 3
 
0.4%
44300 3
 
0.4%
33100 3
 
0.4%
29400 3
 
0.4%
74600 2
 
0.3%
Other values (149) 179
 
25.9%
ValueCountFrequency (%)
0 479
69.4%
9400 1
 
0.1%
9600 1
 
0.1%
9900 1
 
0.1%
11300 1
 
0.1%
11600 1
 
0.1%
15300 1
 
0.1%
15800 1
 
0.1%
16100 1
 
0.1%
16700 1
 
0.1%
ValueCountFrequency (%)
133000 1
0.1%
123000 1
0.1%
117000 1
0.1%
110000 1
0.1%
106000 1
0.1%
105000 2
0.3%
104000 1
0.1%
99700 1
0.1%
97800 1
0.1%
95900 1
0.1%

업체명
Text

Distinct148
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
2024-04-06T17:37:10.022427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length11
Mean length5.8362319
Min length2

Characters and Unicode

Total characters4027
Distinct characters215
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

Unique45 ?
Unique (%)6.5%

Sample

1st row보필
2nd row보필
3rd row보필
4th row삼원스카이
5th row삼원스카이
ValueCountFrequency (%)
주)에이엠이 42
 
5.8%
주식회사 28
 
3.9%
삼인라이프롬(samin.lifrom 23
 
3.2%
미키코리아 22
 
3.0%
영원메디칼 19
 
2.6%
세비앙 19
 
2.6%
미키코리아메디칼 18
 
2.5%
유광정밀 17
 
2.4%
영화의료기 15
 
2.1%
삼원스카이 14
 
1.9%
Other values (143) 506
70.0%
2024-04-06T17:37:10.988297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 221
 
5.5%
( 124
 
3.1%
) 124
 
3.1%
케 124
 
3.1%
스 121
 
3.0%
주 115
 
2.9%
어 113
 
2.8%
에 105
 
2.6%
아 101
 
2.5%
리 92
 
2.3%
Other values (205) 2787
69.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3408
84.6%
Lowercase Letter 263
 
6.5%
Open Punctuation 124
 
3.1%
Close Punctuation 124
 
3.1%
Uppercase Letter 49
 
1.2%
Space Separator 33
 
0.8%
Other Punctuation 23
 
0.6%
Other Symbol 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 221
 
6.5%
케 124
 
3.6%
스 121
 
3.6%
주 115
 
3.4%
어 113
 
3.3%
에 105
 
3.1%
아 101
 
3.0%
리 92
 
2.7%
디 91
 
2.7%
코 78
 
2.3%
Other values (186) 2247
65.9%
Lowercase Letter
ValueCountFrequency (%)
i 46
17.5%
m 46
17.5%
a 37
14.1%
r 37
14.1%
o 23
8.7%
f 23
8.7%
n 23
8.7%
e 14
 
5.3%
c 14
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
L 23
46.9%
S 23
46.9%
G 1
 
2.0%
N 1
 
2.0%
E 1
 
2.0%
Open Punctuation
ValueCountFrequency (%)
( 124
100.0%
Close Punctuation
ValueCountFrequency (%)
) 124
100.0%
Space Separator
ValueCountFrequency (%)
33
100.0%
Other Punctuation
ValueCountFrequency (%)
. 23
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3411
84.7%
Latin 312
 
7.7%
Common 304
 
7.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 221
 
6.5%
케 124
 
3.6%
스 121
 
3.5%
주 115
 
3.4%
어 113
 
3.3%
에 105
 
3.1%
아 101
 
3.0%
리 92
 
2.7%
디 91
 
2.7%
코 78
 
2.3%
Other values (187) 2250
66.0%
Latin
ValueCountFrequency (%)
i 46
14.7%
m 46
14.7%
a 37
11.9%
r 37
11.9%
L 23
7.4%
o 23
7.4%
f 23
7.4%
S 23
7.4%
n 23
7.4%
e 14
 
4.5%
Other values (4) 17
 
5.4%
Common
ValueCountFrequency (%)
( 124
40.8%
) 124
40.8%
33
 
10.9%
. 23
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3408
84.6%
ASCII 616
 
15.3%
None 3
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 221
 
6.5%
케 124
 
3.6%
스 121
 
3.6%
주 115
 
3.4%
어 113
 
3.3%
에 105
 
3.1%
아 101
 
3.0%
리 92
 
2.7%
디 91
 
2.7%
코 78
 
2.3%
Other values (186) 2247
65.9%
ASCII
ValueCountFrequency (%)
( 124
20.1%
) 124
20.1%
i 46
 
7.5%
m 46
 
7.5%
a 37
 
6.0%
r 37
 
6.0%
33
 
5.4%
L 23
 
3.7%
o 23
 
3.7%
f 23
 
3.7%
Other values (8) 100
16.2%
None
ValueCountFrequency (%)
㈜ 3
100.0%

제조구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
국내
585 
수입
105 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내 585
84.8%
수입 105
 
15.2%

Length

2024-04-06T17:37:11.354084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:37:11.610283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내 585
84.8%
수입 105
 
15.2%

제공방식
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
구입
479 
대여
190 
구입 또는 대여
 
21

Length

Max length8
Median length2
Mean length2.1826087
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
구입 479
69.4%
대여 190
 
27.5%
구입 또는 대여 21
 
3.0%

Length

2024-04-06T17:37:11.848112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:37:12.152061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구입 500
68.3%
대여 211
28.8%
또는 21
 
2.9%

Interactions

2024-04-06T17:37:00.620080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:36:58.584115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:36:59.704769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:37:00.965879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:36:58.915824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:37:00.004142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:37:01.277373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:36:59.288337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:37:00.311800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:37:12.330422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번품목명판매금액(원)대여금액(원)제조구분제공방식
연번1.0000.9510.6140.8120.5050.826
품목명0.9511.0000.6500.8260.6811.000
판매금액(원)0.6140.6501.0000.3540.2960.557
대여금액(원)0.8120.8260.3541.0000.4420.837
제조구분0.5050.6810.2960.4421.0000.089
제공방식0.8261.0000.5570.8370.0891.000
2024-04-06T17:37:12.651723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
품목명제조구분제공방식
품목명1.0000.5400.964
제조구분0.5401.0000.148
제공방식0.9640.1481.000
2024-04-06T17:37:12.903823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번판매금액(원)대여금액(원)품목명제조구분제공방식
연번1.000-0.6030.7240.7740.3870.726
판매금액(원)-0.6031.000-0.6720.3130.2260.399
대여금액(원)0.724-0.6721.0000.4980.3370.743
품목명0.7740.3130.4981.0000.5400.964
제조구분0.3870.2260.3370.5401.0000.148
제공방식0.7260.3990.7430.9640.1481.000

Missing values

2024-04-06T17:37:01.596633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:37:01.914495image/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

연번품목명제품명제품코드판매금액(원)대여금액(원)업체명제조구분제공방식
01이동변기SAMBT030300250011220000보필국내구입
12이동변기BFMB4T030300251043310000보필국내구입
23이동변기BFMB5T030300251052740000보필국내구입
34이동변기SKC-600T03030006001662000삼원스카이국내구입
45이동변기SKC-660T030300060022160000삼원스카이국내구입
56이동변기APT-101T030300600013060000(주)에이엠이국내구입
67이동변기PN-L30200BKT030300816021610000(주)신동아이에스수입구입
78이동변기533-900T030300886042350000케어맥스코리아수입구입
89이동변기APT-210T030300601021980000(주)에이엠이국내구입
910이동변기PN-L23206KRT030300816032720000(주)신동아이에스수입구입
연번품목명제품명제품코드판매금액(원)대여금액(원)업체명제조구분제공방식
680681경사로(실내용)URB-PR101F24010181001199000유니러버코퍼레이션국내구입
681682경사로(실내용)URB-PR102F24010181002280000유니러버코퍼레이션국내구입
682683경사로(실내용)URB-PR103F24010181003393000유니러버코퍼레이션국내구입
683684경사로(실내용)URB-PR104F24010181004522000유니러버코퍼레이션국내구입
684685경사로(실내용)URB-PR105F24010181005670000유니러버코퍼레이션국내구입
685686경사로(실외용)WR04-3.4F2400100760109400가나안수입대여
686687경사로(실외용)IW-101F24001027101025500일원기계국내대여
687688경사로(실외용)KD-001F24001024101025400케이디이엔지국내대여
688689경사로(실외용)R-125SLF24000088607036000케어맥스코리아수입대여
689690경사로(실외용)R-245SLF24000088610050400케어맥스코리아수입대여