Overview

Dataset statistics

Number of variables25
Number of observations500
Missing cells1500
Missing cells (%)12.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory100.7 KiB
Average record size in memory206.3 B

Variable types

Text3
Categorical8
Numeric1
Unsupported3
DateTime4
Boolean6

Dataset

Description해당 파일 데이터는 신용보증기금의 시스템메뉴상의 메뉴마스터에 대해 확인하실 수 있는 자료이니 데이터 활용에 참고하여 주시기 바랍니다.
Author신용보증기금
URLhttps://www.data.go.kr/data/15093192/fileData.do

Alerts

메뉴레벨값 has constant value ""Constant
상위리소스ID has constant value ""Constant
상위메뉴ID has constant value ""Constant
최상위메뉴ID has constant value ""Constant
업무개시일자 has constant value ""Constant
업무종료일자 has constant value ""Constant
메뉴구분선여부 has constant value ""Constant
각종조회여부 has constant value ""Constant
화면표시여부 has constant value ""Constant
삭제여부 has constant value ""Constant
최종수정수 has constant value ""Constant
처리시각 has constant value ""Constant
처리직원번호 has constant value ""Constant
최초처리시각 has constant value ""Constant
최초처리직원번호 has constant value ""Constant
사용여부 is highly imbalanced (97.9%)Imbalance
개인정보포함여부 is highly imbalanced (97.9%)Imbalance
업무구분내용 has 500 (100.0%) missing valuesMissing
메뉴추가내용 has 500 (100.0%) missing valuesMissing
메뉴설명내용 has 500 (100.0%) missing valuesMissing
리소스ID has unique valuesUnique
메뉴ID has unique valuesUnique
메뉴URL has unique valuesUnique
메뉴표시순위 has unique valuesUnique
업무구분내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
메뉴추가내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
메뉴설명내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 21:02:07.817936
Analysis finished2023-12-12 21:02:08.145645
Duration0.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

리소스ID
Text

UNIQUE 

Distinct500
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-13T06:02:08.433973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters4000
Distinct characters13
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

Unique500 ?
Unique (%)100.0%

Sample

1st rowRES47155
2nd rowRES47156
3rd rowRES47157
4th rowRES47158
5th rowRES47159
ValueCountFrequency (%)
res47155 1
 
0.2%
res46866 1
 
0.2%
res46880 1
 
0.2%
res46879 1
 
0.2%
res46878 1
 
0.2%
res46877 1
 
0.2%
res46876 1
 
0.2%
res46875 1
 
0.2%
res46874 1
 
0.2%
res46873 1
 
0.2%
Other values (490) 490
98.0%
2023-12-13T06:02:08.966746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 590
14.8%
R 500
12.5%
E 500
12.5%
S 500
12.5%
7 411
10.3%
6 343
8.6%
8 201
 
5.0%
9 200
 
5.0%
2 199
 
5.0%
3 178
 
4.5%
Other values (3) 378
9.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2500
62.5%
Uppercase Letter 1500
37.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 590
23.6%
7 411
16.4%
6 343
13.7%
8 201
 
8.0%
9 200
 
8.0%
2 199
 
8.0%
3 178
 
7.1%
1 144
 
5.8%
0 138
 
5.5%
5 96
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
R 500
33.3%
E 500
33.3%
S 500
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 2500
62.5%
Latin 1500
37.5%

Most frequent character per script

Common
ValueCountFrequency (%)
4 590
23.6%
7 411
16.4%
6 343
13.7%
8 201
 
8.0%
9 200
 
8.0%
2 199
 
8.0%
3 178
 
7.1%
1 144
 
5.8%
0 138
 
5.5%
5 96
 
3.8%
Latin
ValueCountFrequency (%)
R 500
33.3%
E 500
33.3%
S 500
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 590
14.8%
R 500
12.5%
E 500
12.5%
S 500
12.5%
7 411
10.3%
6 343
8.6%
8 201
 
5.0%
9 200
 
5.0%
2 199
 
5.0%
3 178
 
4.5%
Other values (3) 378
9.4%

메뉴ID
Text

UNIQUE 

Distinct500
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-13T06:02:09.311684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters5500
Distinct characters14
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

Unique500 ?
Unique (%)100.0%

Sample

1st rowCUST1801624
2nd rowCUST1801625
3rd rowCUST1801626
4th rowCUST1801627
5th rowCUST1801628
ValueCountFrequency (%)
cust1801624 1
 
0.2%
cust1801335 1
 
0.2%
cust1801349 1
 
0.2%
cust1801348 1
 
0.2%
cust1801347 1
 
0.2%
cust1801346 1
 
0.2%
cust1801345 1
 
0.2%
cust1801344 1
 
0.2%
cust1801343 1
 
0.2%
cust1801342 1
 
0.2%
Other values (490) 490
98.0%
2023-12-13T06:02:09.746513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1089
19.8%
8 650
11.8%
0 596
10.8%
C 500
9.1%
U 500
9.1%
S 500
9.1%
T 500
9.1%
4 211
 
3.8%
3 207
 
3.8%
7 200
 
3.6%
Other values (4) 547
9.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3500
63.6%
Uppercase Letter 2000
36.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1089
31.1%
8 650
18.6%
0 596
17.0%
4 211
 
6.0%
3 207
 
5.9%
7 200
 
5.7%
6 177
 
5.1%
2 162
 
4.6%
5 108
 
3.1%
9 100
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
C 500
25.0%
U 500
25.0%
S 500
25.0%
T 500
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3500
63.6%
Latin 2000
36.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1089
31.1%
8 650
18.6%
0 596
17.0%
4 211
 
6.0%
3 207
 
5.9%
7 200
 
5.7%
6 177
 
5.1%
2 162
 
4.6%
5 108
 
3.1%
9 100
 
2.9%
Latin
ValueCountFrequency (%)
C 500
25.0%
U 500
25.0%
S 500
25.0%
T 500
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5500
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1089
19.8%
8 650
11.8%
0 596
10.8%
C 500
9.1%
U 500
9.1%
S 500
9.1%
T 500
9.1%
4 211
 
3.8%
3 207
 
3.8%
7 200
 
3.6%
Other values (4) 547
9.9%

메뉴URL
Text

UNIQUE 

Distinct500
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-13T06:02:09.984375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length24.454
Min length21

Characters and Unicode

Total characters12227
Distinct characters54
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique500 ?
Unique (%)100.0%

Sample

1st rowPprd_PIisuPrd::PIB001_01P
2nd rowPprd_PIisuPrd::PIB002_00P
3rd rowPprd_PIisuPrd::PIB003_00P
4th rowPprd_PIisuPrd::PIB004_00P
5th rowRrsk_RBrskBss::RBA008_00M
ValueCountFrequency (%)
pprd_piisuprd::pib001_01p 1
 
0.2%
jinv_jeinvetc::jeb010_05t 1
 
0.2%
jinv_jeinvetc::jer001_01p 1
 
0.2%
jinv_jeinvetc::jeo008_01p 1
 
0.2%
jinv_jeinvetc::jeo002_01p 1
 
0.2%
jinv_jeinvetc::jeo001_01p 1
 
0.2%
jinv_jeinvetc::jed080_01p 1
 
0.2%
jinv_jeinvetc::jec079_00m 1
 
0.2%
jinv_jeinvetc::jec003_01p 1
 
0.2%
jinv_jeinvetc::jeb010_12t 1
 
0.2%
Other values (490) 490
98.0%
2023-12-13T06:02:10.415850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1471
 
12.0%
: 1000
 
8.2%
_ 1000
 
8.2%
n 690
 
5.6%
s 661
 
5.4%
J 445
 
3.6%
I 444
 
3.6%
1 417
 
3.4%
i 372
 
3.0%
T 350
 
2.9%
Other values (44) 5377
44.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3980
32.6%
Uppercase Letter 3747
30.6%
Decimal Number 2500
20.4%
Other Punctuation 1000
 
8.2%
Connector Punctuation 1000
 
8.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
J 445
11.9%
I 444
11.8%
T 350
9.3%
S 345
9.2%
P 301
 
8.0%
B 242
 
6.5%
K 224
 
6.0%
C 224
 
6.0%
A 222
 
5.9%
M 179
 
4.8%
Other values (12) 771
20.6%
Lowercase Letter
ValueCountFrequency (%)
n 690
17.3%
s 661
16.6%
i 372
9.3%
v 345
8.7%
r 267
 
6.7%
t 266
 
6.7%
m 256
 
6.4%
u 212
 
5.3%
g 194
 
4.9%
c 141
 
3.5%
Other values (10) 576
14.5%
Decimal Number
ValueCountFrequency (%)
0 1471
58.8%
1 417
 
16.7%
2 163
 
6.5%
3 130
 
5.2%
4 78
 
3.1%
9 51
 
2.0%
7 50
 
2.0%
8 49
 
2.0%
6 49
 
2.0%
5 42
 
1.7%
Other Punctuation
ValueCountFrequency (%)
: 1000
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7727
63.2%
Common 4500
36.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 690
 
8.9%
s 661
 
8.6%
J 445
 
5.8%
I 444
 
5.7%
i 372
 
4.8%
T 350
 
4.5%
S 345
 
4.5%
v 345
 
4.5%
P 301
 
3.9%
r 267
 
3.5%
Other values (32) 3507
45.4%
Common
ValueCountFrequency (%)
0 1471
32.7%
: 1000
22.2%
_ 1000
22.2%
1 417
 
9.3%
2 163
 
3.6%
3 130
 
2.9%
4 78
 
1.7%
9 51
 
1.1%
7 50
 
1.1%
8 49
 
1.1%
Other values (2) 91
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12227
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1471
 
12.0%
: 1000
 
8.2%
_ 1000
 
8.2%
n 690
 
5.6%
s 661
 
5.4%
J 445
 
3.6%
I 444
 
3.6%
1 417
 
3.4%
i 372
 
3.0%
T 350
 
2.9%
Other values (44) 5377
44.0%

메뉴레벨값
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
4
500 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 500
100.0%

Length

2023-12-13T06:02:10.572974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:02:10.665686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 500
100.0%

메뉴표시순위
Real number (ℝ)

UNIQUE 

Distinct500
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15353.84
Minimum12330
Maximum18490
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-13T06:02:10.778111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12330
5-th percentile12579.5
Q113577.5
median14825
Q317242.5
95-th percentile18240.5
Maximum18490
Range6160
Interquartile range (IQR)3665

Descriptive statistics

Standard deviation1969.5624
Coefficient of variation (CV)0.12827816
Kurtosis-1.508046
Mean15353.84
Median Absolute Deviation (MAD)1835
Skewness0.082952257
Sum7676920
Variance3879176
MonotonicityNot monotonic
2023-12-13T06:02:10.914291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16240 1
 
0.2%
13370 1
 
0.2%
13500 1
 
0.2%
13490 1
 
0.2%
13480 1
 
0.2%
13470 1
 
0.2%
13460 1
 
0.2%
13450 1
 
0.2%
13440 1
 
0.2%
13430 1
 
0.2%
Other values (490) 490
98.0%
ValueCountFrequency (%)
12330 1
0.2%
12340 1
0.2%
12350 1
0.2%
12360 1
0.2%
12370 1
0.2%
12380 1
0.2%
12390 1
0.2%
12400 1
0.2%
12410 1
0.2%
12420 1
0.2%
ValueCountFrequency (%)
18490 1
0.2%
18480 1
0.2%
18470 1
0.2%
18460 1
0.2%
18450 1
0.2%
18440 1
0.2%
18430 1
0.2%
18420 1
0.2%
18410 1
0.2%
18400 1
0.2%

상위리소스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
RES45531
500 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRES45531
2nd rowRES45531
3rd rowRES45531
4th rowRES45531
5th rowRES45531

Common Values

ValueCountFrequency (%)
RES45531 500
100.0%

Length

2023-12-13T06:02:11.052414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:02:11.142592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
res45531 500
100.0%

상위메뉴ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
CUST180
500 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCUST180
2nd rowCUST180
3rd rowCUST180
4th rowCUST180
5th rowCUST180

Common Values

ValueCountFrequency (%)
CUST180 500
100.0%

Length

2023-12-13T06:02:11.242306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:02:11.331477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
cust180 500
100.0%

최상위메뉴ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
CUST
500 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
CUST 500
100.0%

Length

2023-12-13T06:02:11.425594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:02:11.518604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
cust 500
100.0%

업무구분내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing500
Missing (%)100.0%
Memory size4.5 KiB

메뉴추가내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing500
Missing (%)100.0%
Memory size4.5 KiB

메뉴설명내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing500
Missing (%)100.0%
Memory size4.5 KiB

업무개시일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
Minimum2023-12-13 00:00:00
Maximum2023-12-13 00:00:00
2023-12-13T06:02:11.589615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:02:11.678516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

업무종료일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
Minimum2023-12-13 00:00:00
Maximum2023-12-13 00:00:00
2023-12-13T06:02:11.765824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:02:11.852260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

화면유형구분코드
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
P
276 
L
224 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowP
2nd rowP
3rd rowP
4th rowP
5th rowL

Common Values

ValueCountFrequency (%)
P 276
55.2%
L 224
44.8%

Length

2023-12-13T06:02:12.263772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:02:12.361519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
p 276
55.2%
l 224
44.8%

메뉴구분선여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size632.0 B
False
500 
ValueCountFrequency (%)
False 500
100.0%
2023-12-13T06:02:12.431897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

각종조회여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size632.0 B
False
500 
ValueCountFrequency (%)
False 500
100.0%
2023-12-13T06:02:12.505503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

사용여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size632.0 B
True
499 
False
 
1
ValueCountFrequency (%)
True 499
99.8%
False 1
 
0.2%
2023-12-13T06:02:12.573115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

화면표시여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size632.0 B
False
500 
ValueCountFrequency (%)
False 500
100.0%
2023-12-13T06:02:12.641828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

개인정보포함여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size632.0 B
False
499 
True
 
1
ValueCountFrequency (%)
False 499
99.8%
True 1
 
0.2%
2023-12-13T06:02:12.704965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

삭제여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size632.0 B
False
500 
ValueCountFrequency (%)
False 500
100.0%
2023-12-13T06:02:12.768144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

최종수정수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
1
500 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 500
100.0%

Length

2023-12-13T06:02:12.852807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:02:12.933218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 500
100.0%

처리시각
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
Minimum2023-12-13 00:11:48
Maximum2023-12-13 00:11:48
2023-12-13T06:02:13.006026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:02:13.092035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

처리직원번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
EAM
500 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
EAM 500
100.0%

Length

2023-12-13T06:02:13.185232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:02:13.269433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
eam 500
100.0%

최초처리시각
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
Minimum2023-12-13 00:11:48
Maximum2023-12-13 00:11:48
2023-12-13T06:02:13.339156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:02:13.417005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

최초처리직원번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
EAM
500 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
EAM 500
100.0%

Length

2023-12-13T06:02:13.507972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:02:13.586684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
eam 500
100.0%

Sample

리소스ID메뉴ID메뉴URL메뉴레벨값메뉴표시순위상위리소스ID상위메뉴ID최상위메뉴ID업무구분내용메뉴추가내용메뉴설명내용업무개시일자업무종료일자화면유형구분코드메뉴구분선여부각종조회여부사용여부화면표시여부개인정보포함여부삭제여부최종수정수처리시각처리직원번호최초처리시각최초처리직원번호
0RES47155CUST1801624Pprd_PIisuPrd::PIB001_01P416240RES45531CUST180CUST<NA><NA><NA>00:00.000:00.0PNNYNNN100:11.8EAM00:11.8EAM
1RES47156CUST1801625Pprd_PIisuPrd::PIB002_00P416250RES45531CUST180CUST<NA><NA><NA>00:00.000:00.0PNNYNNN100:11.8EAM00:11.8EAM
2RES47157CUST1801626Pprd_PIisuPrd::PIB003_00P416260RES45531CUST180CUST<NA><NA><NA>00:00.000:00.0PNNYNNN100:11.8EAM00:11.8EAM
3RES47158CUST1801627Pprd_PIisuPrd::PIB004_00P416270RES45531CUST180CUST<NA><NA><NA>00:00.000:00.0PNNYNNN100:11.8EAM00:11.8EAM
4RES47159CUST1801628Rrsk_RBrskBss::RBA008_00M416280RES45531CUST180CUST<NA><NA><NA>00:00.000:00.0LNNYNNN100:11.8EAM00:11.8EAM
5RES47160CUST1801629Rrsk_RBrskBss::RBA009_00M416290RES45531CUST180CUST<NA><NA><NA>00:00.000:00.0LNNYNNN100:11.8EAM00:11.8EAM
6RES47161CUST1801630Rrsk_RBrskBss::RBA010_00M416300RES45531CUST180CUST<NA><NA><NA>00:00.000:00.0LNNYNNN100:11.8EAM00:11.8EAM
7RES47162CUST1801631Rrsk_RBrskBss::RBA011_00M416310RES45531CUST180CUST<NA><NA><NA>00:00.000:00.0LNNYNNN100:11.8EAM00:11.8EAM
8RES47163CUST1801632Rrsk_RBrskBss::RBA012_00M416320RES45531CUST180CUST<NA><NA><NA>00:00.000:00.0LNNYNNN100:11.8EAM00:11.8EAM
9RES47164CUST1801633Rrsk_RDrskDgns::RDA001_01P416330RES45531CUST180CUST<NA><NA><NA>00:00.000:00.0PNNYNNN100:11.8EAM00:11.8EAM
리소스ID메뉴ID메뉴URL메뉴레벨값메뉴표시순위상위리소스ID상위메뉴ID최상위메뉴ID업무구분내용메뉴추가내용메뉴설명내용업무개시일자업무종료일자화면유형구분코드메뉴구분선여부각종조회여부사용여부화면표시여부개인정보포함여부삭제여부최종수정수처리시각처리직원번호최초처리시각최초처리직원번호
490RES47028CUST1801497Ksys_KGmng::KGZ100_01P414970RES45531CUST180CUST<NA><NA><NA>00:00.000:00.0PNNYNNN100:11.8EAM00:11.8EAM
491RES47029CUST1801498Ksys_KGmng::KGZ100_02P414980RES45531CUST180CUST<NA><NA><NA>00:00.000:00.0PNNYNNN100:11.8EAM00:11.8EAM
492RES47030CUST1801499Ksys_KGmng::KZZ017_01P414990RES45531CUST180CUST<NA><NA><NA>00:00.000:00.0PNNYNNN100:11.8EAM00:11.8EAM
493RES47031CUST1801500Ksys_KGmng::KZZ017_02P415000RES45531CUST180CUST<NA><NA><NA>00:00.000:00.0PNNYNNN100:11.8EAM00:11.8EAM
494RES47032CUST1801501Ksys_KGmng::KZZ030_00M415010RES45531CUST180CUST<NA><NA><NA>00:00.000:00.0LNNYNNN100:11.8EAM00:11.8EAM
495RES47033CUST1801502Ksys_KGmng::KZZ030_01P415020RES45531CUST180CUST<NA><NA><NA>00:00.000:00.0PNNYNNN100:11.8EAM00:11.8EAM
496RES47034CUST1801503Ksys_KGmng::kGG001_01P415030RES45531CUST180CUST<NA><NA><NA>00:00.000:00.0PNNYNNN100:11.8EAM00:11.8EAM
497RES47035CUST1801504Ksys_KMmenu::KMA003_00P415040RES45531CUST180CUST<NA><NA><NA>00:00.000:00.0PNNYNNN100:11.8EAM00:11.8EAM
498RES47036CUST1801505Ksys_KMmenu::KMA003_01P415050RES45531CUST180CUST<NA><NA><NA>00:00.000:00.0PNNYNNN100:11.8EAM00:11.8EAM
499RES47037CUST1801506Ksys_KMmenu::KMB001_01P415060RES45531CUST180CUST<NA><NA><NA>00:00.000:00.0PNNYNNN100:11.8EAM00:11.8EAM