Overview

Dataset statistics

Number of variables22
Number of observations10000
Missing cells27936
Missing cells (%)12.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 MiB
Average record size in memory192.0 B

Variable types

Numeric3
Categorical10
Unsupported2
Text2
DateTime5

Dataset

Description통일연구원 구독 정기간행물 체크인 데이터
Author통일연구원
URLhttps://www.data.go.kr/data/15069856/fileData.do

Alerts

제공처ID(PROVIDER_ID) has constant value ""Constant
권호유형ID(VOLUME_TYPE_ID) has constant value ""Constant
이슈상태ID(ISSUE_STATE_ID) is highly imbalanced (89.5%)Imbalance
수서방법ID(ACQ_METHOD_ID) is highly imbalanced (61.1%)Imbalance
복본수(COPY_CNT) is highly imbalanced (99.4%)Imbalance
입수책수(RECEIPT_CNT) is highly imbalanced (92.7%)Imbalance
입수서고(LOCATION_ID) is highly imbalanced (60.6%)Imbalance
주기사항(NOTE) is highly imbalanced (98.9%)Imbalance
딸림유형ID(SUPPLEMENT_TYPE_ID) has 10000 (100.0%) missing valuesMissing
통권호(CONS_VOLUME) has 7936 (79.4%) missing valuesMissing
계속자료주문ID(CR_ORDER_ID) has 10000 (100.0%) missing valuesMissing
ID(ID) has unique valuesUnique
딸림유형ID(SUPPLEMENT_TYPE_ID) is an unsupported type, check if it needs cleaning or further analysisUnsupported
계속자료주문ID(CR_ORDER_ID) is an unsupported type, check if it needs cleaning or further analysisUnsupported
통권값(CONS_VOLUME_VALUE) has 7468 (74.7%) zerosZeros

Reproduction

Analysis started2023-12-12 05:27:15.689964
Analysis finished2023-12-12 05:27:16.483530
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

ID(ID)
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32756.975
Minimum1
Maximum62753
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T14:27:16.563930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2180.8
Q117320.75
median32008.5
Q347494
95-th percentile61049.15
Maximum62753
Range62752
Interquartile range (IQR)30173.25

Descriptive statistics

Standard deviation18317.942
Coefficient of variation (CV)0.55920739
Kurtosis-1.1152499
Mean32756.975
Median Absolute Deviation (MAD)15180
Skewness-0.055524772
Sum3.2756974 × 108
Variance3.3554701 × 108
MonotonicityNot monotonic
2023-12-12T14:27:16.750318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45059 1
 
< 0.1%
1318 1
 
< 0.1%
31937 1
 
< 0.1%
41482 1
 
< 0.1%
34590 1
 
< 0.1%
4062 1
 
< 0.1%
32823 1
 
< 0.1%
42405 1
 
< 0.1%
1816 1
 
< 0.1%
24677 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
5 1
< 0.1%
8 1
< 0.1%
10 1
< 0.1%
13 1
< 0.1%
15 1
< 0.1%
18 1
< 0.1%
21 1
< 0.1%
22 1
< 0.1%
24 1
< 0.1%
ValueCountFrequency (%)
62753 1
< 0.1%
62751 1
< 0.1%
62750 1
< 0.1%
62747 1
< 0.1%
62743 1
< 0.1%
62737 1
< 0.1%
62734 1
< 0.1%
62733 1
< 0.1%
62732 1
< 0.1%
62729 1
< 0.1%
Distinct479
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean241.4139
Minimum1
Maximum531
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T14:27:16.917637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile35
Q1129
median238
Q3357
95-th percentile472.05
Maximum531
Range530
Interquartile range (IQR)228

Descriptive statistics

Standard deviation135.7545
Coefficient of variation (CV)0.56233091
Kurtosis-1.0176746
Mean241.4139
Median Absolute Deviation (MAD)111
Skewness0.16141802
Sum2414139
Variance18429.284
MonotonicityNot monotonic
2023-12-12T14:27:17.072334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
428 471
 
4.7%
129 161
 
1.6%
484 149
 
1.5%
127 140
 
1.4%
319 131
 
1.3%
365 130
 
1.3%
167 126
 
1.3%
177 114
 
1.1%
427 110
 
1.1%
267 105
 
1.1%
Other values (469) 8363
83.6%
ValueCountFrequency (%)
1 11
 
0.1%
2 33
0.3%
3 6
 
0.1%
4 38
0.4%
5 81
0.8%
6 5
 
0.1%
7 26
 
0.3%
8 8
 
0.1%
9 3
 
< 0.1%
11 3
 
< 0.1%
ValueCountFrequency (%)
531 2
 
< 0.1%
530 22
0.2%
528 1
 
< 0.1%
526 1
 
< 0.1%
525 1
 
< 0.1%
524 2
 
< 0.1%
521 12
0.1%
520 3
 
< 0.1%
519 8
 
0.1%
518 4
 
< 0.1%

이슈상태ID(ISSUE_STATE_ID)
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
입수
9695 
결호
 
282
클레임대상
 
13
클레임중
 
10

Length

Max length5
Median length2
Mean length2.0059
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
입수 9695
97.0%
결호 282
 
2.8%
클레임대상 13
 
0.1%
클레임중 10
 
0.1%

Length

2023-12-12T14:27:17.226398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:27:17.369449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
입수 9695
97.0%
결호 282
 
2.8%
클레임대상 13
 
0.1%
클레임중 10
 
0.1%

수서방법ID(ACQ_METHOD_ID)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
구입
9238 
수증
 
762

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
구입 9238
92.4%
수증 762
 
7.6%

Length

2023-12-12T14:27:17.504807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:27:17.631145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구입 9238
92.4%
수증 762
 
7.6%

제공처ID(PROVIDER_ID)
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
기본계속자료제공처
10000 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기본계속자료제공처 10000
100.0%

Length

2023-12-12T14:27:17.802930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:27:17.930182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기본계속자료제공처 10000
100.0%

복본수(COPY_CNT)
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
9993 
2
 
6
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 9993
99.9%
2 6
 
0.1%
3 1
 
< 0.1%

Length

2023-12-12T14:27:18.074451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:27:18.187881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 9993
99.9%
2 6
 
0.1%
3 1
 
< 0.1%

입수책수(RECEIPT_CNT)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
9793 
0
 
132
2
 
66
4
 
5
3
 
4

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 9793
97.9%
0 132
 
1.3%
2 66
 
0.7%
4 5
 
0.1%
3 4
 
< 0.1%

Length

2023-12-12T14:27:18.322321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:27:18.444963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 9793
97.9%
0 132
 
1.3%
2 66
 
0.7%
4 5
 
< 0.1%
3 4
 
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
8814 
1
1186 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 8814
88.1%
1 1186
 
11.9%

Length

2023-12-12T14:27:18.585385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:27:18.706478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 8814
88.1%
1 1186
 
11.9%

딸림유형ID(SUPPLEMENT_TYPE_ID)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB
Distinct6877
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T14:27:19.088006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length12.4274
Min length2

Characters and Unicode

Total characters124274
Distinct characters64
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5616 ?
Unique (%)56.2%

Sample

1st row2013, Vol.37 Iss.1
2nd row2013, Vol.19 Iss.3
3rd row2013, Vol.61 Iss.3
4th row통권 333
5th row2011, Vol.116 Iss.5
ValueCountFrequency (%)
통권 1301
 
5.8%
iss.1 989
 
4.4%
iss.2 970
 
4.3%
iss.3 841
 
3.7%
iss.4 779
 
3.4%
2019 488
 
2.2%
2013 337
 
1.5%
2011 320
 
1.4%
2009 306
 
1.4%
2007 302
 
1.3%
Other values (1752) 15954
70.6%
2023-12-12T14:27:19.730232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13449
 
10.8%
. 11016
 
8.9%
s 10830
 
8.7%
2 10464
 
8.4%
0 10069
 
8.1%
1 10040
 
8.1%
, 9173
 
7.4%
o 5629
 
4.5%
9 5082
 
4.1%
l 4774
 
3.8%
Other values (54) 33748
27.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 53250
42.8%
Lowercase Letter 26234
21.1%
Other Punctuation 20234
 
16.3%
Space Separator 13449
 
10.8%
Uppercase Letter 6105
 
4.9%
Other Letter 4954
 
4.0%
Dash Punctuation 40
 
< 0.1%
Close Punctuation 4
 
< 0.1%
Open Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1683
34.0%
1306
26.4%
1032
20.8%
684
13.8%
99
 
2.0%
45
 
0.9%
32
 
0.6%
22
 
0.4%
10
 
0.2%
9
 
0.2%
Other values (16) 32
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
s 10830
41.3%
o 5629
21.5%
l 4774
18.2%
i 2536
 
9.7%
v 2370
 
9.0%
n 28
 
0.1%
p 15
 
0.1%
e 14
 
0.1%
u 10
 
< 0.1%
a 8
 
< 0.1%
Other values (5) 20
 
0.1%
Decimal Number
ValueCountFrequency (%)
2 10464
19.7%
0 10069
18.9%
1 10040
18.9%
9 5082
9.5%
3 3992
 
7.5%
4 3717
 
7.0%
5 2831
 
5.3%
6 2533
 
4.8%
8 2342
 
4.4%
7 2180
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
I 2876
47.1%
V 2395
39.2%
N 828
 
13.6%
Y 4
 
0.1%
S 2
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
. 11016
54.4%
, 9173
45.3%
/ 44
 
0.2%
1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
13449
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 86981
70.0%
Latin 32339
 
26.0%
Hangul 4944
 
4.0%
Han 10
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1683
34.0%
1306
26.4%
1032
20.9%
684
13.8%
99
 
2.0%
45
 
0.9%
32
 
0.6%
22
 
0.4%
10
 
0.2%
9
 
0.2%
Other values (13) 22
 
0.4%
Latin
ValueCountFrequency (%)
s 10830
33.5%
o 5629
17.4%
l 4774
14.8%
I 2876
 
8.9%
i 2536
 
7.8%
V 2395
 
7.4%
v 2370
 
7.3%
N 828
 
2.6%
n 28
 
0.1%
p 15
 
< 0.1%
Other values (10) 58
 
0.2%
Common
ValueCountFrequency (%)
13449
15.5%
. 11016
12.7%
2 10464
12.0%
0 10069
11.6%
1 10040
11.5%
, 9173
10.5%
9 5082
 
5.8%
3 3992
 
4.6%
4 3717
 
4.3%
5 2831
 
3.3%
Other values (8) 7148
8.2%
Han
ValueCountFrequency (%)
8
80.0%
1
 
10.0%
1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 119319
96.0%
Hangul 4944
 
4.0%
CJK 10
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13449
11.3%
. 11016
 
9.2%
s 10830
 
9.1%
2 10464
 
8.8%
0 10069
 
8.4%
1 10040
 
8.4%
, 9173
 
7.7%
o 5629
 
4.7%
9 5082
 
4.3%
l 4774
 
4.0%
Other values (27) 28793
24.1%
Hangul
ValueCountFrequency (%)
1683
34.0%
1306
26.4%
1032
20.9%
684
13.8%
99
 
2.0%
45
 
0.9%
32
 
0.6%
22
 
0.4%
10
 
0.2%
9
 
0.2%
Other values (13) 22
 
0.4%
CJK
ValueCountFrequency (%)
8
80.0%
1
 
10.0%
1
 
10.0%
None
ValueCountFrequency (%)
1
100.0%
Distinct1082
Distinct (%)52.4%
Missing7936
Missing (%)79.4%
Memory size156.2 KiB
2023-12-12T14:27:20.184221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length2.811531
Min length1

Characters and Unicode

Total characters5803
Distinct characters42
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique825 ?
Unique (%)40.0%

Sample

1st row0
2nd row0
3rd row553호
4th row570호
5th row728호
ValueCountFrequency (%)
0 638
30.6%
spring 7
 
0.3%
fall 6
 
0.3%
52 5
 
0.2%
40 5
 
0.2%
56 5
 
0.2%
summer 5
 
0.2%
172 4
 
0.2%
99 4
 
0.2%
101 4
 
0.2%
Other values (1068) 1401
67.2%
2023-12-12T14:27:20.795373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 920
15.9%
1 683
11.8%
6 487
8.4%
4 448
7.7%
7 445
7.7%
2 423
7.3%
3 413
7.1%
5 408
7.0%
398
6.9%
9 320
 
5.5%
Other values (32) 858
14.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4867
83.9%
Other Letter 528
 
9.1%
Lowercase Letter 218
 
3.8%
Other Punctuation 93
 
1.6%
Uppercase Letter 72
 
1.2%
Space Separator 20
 
0.3%
Dash Punctuation 5
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 72
33.0%
l 50
22.9%
r 14
 
6.4%
s 12
 
5.5%
m 10
 
4.6%
n 9
 
4.1%
i 9
 
4.1%
e 7
 
3.2%
g 7
 
3.2%
p 7
 
3.2%
Other values (5) 21
 
9.6%
Decimal Number
ValueCountFrequency (%)
0 920
18.9%
1 683
14.0%
6 487
10.0%
4 448
9.2%
7 445
9.1%
2 423
8.7%
3 413
8.5%
5 408
8.4%
9 320
 
6.6%
8 320
 
6.6%
Other Letter
ValueCountFrequency (%)
398
75.4%
115
 
21.8%
4
 
0.8%
3
 
0.6%
3
 
0.6%
1
 
0.2%
1
 
0.2%
1
 
0.2%
1
 
0.2%
1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
. 72
77.4%
, 20
 
21.5%
& 1
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
V 38
52.8%
N 34
47.2%
Space Separator
ValueCountFrequency (%)
20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4985
85.9%
Hangul 527
 
9.1%
Latin 290
 
5.0%
Han 1
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 72
24.8%
l 50
17.2%
V 38
13.1%
N 34
11.7%
r 14
 
4.8%
s 12
 
4.1%
m 10
 
3.4%
n 9
 
3.1%
i 9
 
3.1%
e 7
 
2.4%
Other values (7) 35
12.1%
Common
ValueCountFrequency (%)
0 920
18.5%
1 683
13.7%
6 487
9.8%
4 448
9.0%
7 445
8.9%
2 423
8.5%
3 413
8.3%
5 408
8.2%
9 320
 
6.4%
8 320
 
6.4%
Other values (5) 118
 
2.4%
Hangul
ValueCountFrequency (%)
398
75.5%
115
 
21.8%
4
 
0.8%
3
 
0.6%
3
 
0.6%
1
 
0.2%
1
 
0.2%
1
 
0.2%
1
 
0.2%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5275
90.9%
Hangul 527
 
9.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 920
17.4%
1 683
12.9%
6 487
9.2%
4 448
8.5%
7 445
8.4%
2 423
8.0%
3 413
7.8%
5 408
7.7%
9 320
 
6.1%
8 320
 
6.1%
Other values (22) 408
7.7%
Hangul
ValueCountFrequency (%)
398
75.5%
115
 
21.8%
4
 
0.8%
3
 
0.6%
3
 
0.6%
1
 
0.2%
1
 
0.2%
1
 
0.2%
1
 
0.2%
CJK
ValueCountFrequency (%)
1
100.0%

통권값(CONS_VOLUME_VALUE)
Real number (ℝ)

ZEROS 

Distinct944
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.4423
Minimum0
Maximum1900
Zeros7468
Zeros (%)74.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T14:27:20.986752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q310
95-th percentile615.05
Maximum1900
Range1900
Interquartile range (IQR)10

Descriptive statistics

Standard deviation265.35657
Coefficient of variation (CV)2.5407002
Kurtosis16.818374
Mean104.4423
Median Absolute Deviation (MAD)0
Skewness3.7337318
Sum1044423
Variance70414.109
MonotonicityNot monotonic
2023-12-12T14:27:21.186704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7468
74.7%
27 12
 
0.1%
26 10
 
0.1%
161 10
 
0.1%
18 9
 
0.1%
24 9
 
0.1%
175 9
 
0.1%
17 9
 
0.1%
25 9
 
0.1%
99 9
 
0.1%
Other values (934) 2446
 
24.5%
ValueCountFrequency (%)
0 7468
74.7%
1 6
 
0.1%
2 4
 
< 0.1%
3 1
 
< 0.1%
4 3
 
< 0.1%
5 2
 
< 0.1%
6 4
 
< 0.1%
7 2
 
< 0.1%
8 5
 
0.1%
9 4
 
< 0.1%
ValueCountFrequency (%)
1900 1
< 0.1%
1897 1
< 0.1%
1891 1
< 0.1%
1890 1
< 0.1%
1888 1
< 0.1%
1886 1
< 0.1%
1880 1
< 0.1%
1871 1
< 0.1%
1866 1
< 0.1%
1865 1
< 0.1%
Distinct5054
Distinct (%)50.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1958-03-20 00:00:00
Maximum2024-03-30 00:00:00
2023-12-12T14:27:21.397506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:27:21.564434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct3422
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1958-12-01 00:00:00
Maximum2029-03-15 00:00:00
2023-12-12T14:27:21.722936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:27:21.851026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2913
Distinct (%)29.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1958-03-20 00:00:00
Maximum2020-09-17 00:00:00
2023-12-12T14:27:22.288683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:27:22.471133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
제본함
5644 
제본안함
4297 
낱권등록
 
59

Length

Max length4
Median length3
Mean length3.4356
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제본안함
2nd row제본안함
3rd row제본안함
4th row제본함
5th row제본안함

Common Values

ValueCountFrequency (%)
제본함 5644
56.4%
제본안함 4297
43.0%
낱권등록 59
 
0.6%

Length

2023-12-12T14:27:22.621754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:27:22.717116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제본함 5644
56.4%
제본안함 4297
43.0%
낱권등록 59
 
0.6%

권호유형ID(VOLUME_TYPE_ID)
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
정기호
10000 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정기호 10000
100.0%

Length

2023-12-12T14:27:22.813043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:27:22.897466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정기호 10000
100.0%

입수서고(LOCATION_ID)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1자료실
9223 
특수자료실
 
777

Length

Max length5
Median length4
Mean length4.0777
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1자료실
2nd row1자료실
3rd row1자료실
4th row1자료실
5th row1자료실

Common Values

ValueCountFrequency (%)
1자료실 9223
92.2%
특수자료실 777
 
7.8%

Length

2023-12-12T14:27:22.985785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:27:23.074885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1자료실 9223
92.2%
특수자료실 777
 
7.8%

계속자료주문ID(CR_ORDER_ID)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

주기사항(NOTE)
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9982 
[20140919] 일괄체크인
 
13
코로나19 영향 미입수
 
3
[20151013] 일괄체크인
 
2

Length

Max length16
Median length4
Mean length4.0204
Min length4

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> 9982
99.8%
[20140919] 일괄체크인 13
 
0.1%
코로나19 영향 미입수 3
 
< 0.1%
[20151013] 일괄체크인 2
 
< 0.1%

Length

2023-12-12T14:27:23.169400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:27:23.258051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9982
99.6%
일괄체크인 15
 
0.1%
20140919 13
 
0.1%
코로나19 3
 
< 0.1%
영향 3
 
< 0.1%
미입수 3
 
< 0.1%
20151013 2
 
< 0.1%
Distinct2910
Distinct (%)29.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1958-03-20 00:00:00
Maximum2020-09-17 00:00:00
2023-12-12T14:27:23.364870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:27:23.496796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2093
Distinct (%)20.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1958-03-20 00:00:00
Maximum2020-09-17 00:00:00
2023-12-12T14:27:23.624166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:27:23.782724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Sample

ID(ID)계속자료수서ID(CR_ACQUISITION_ID)이슈상태ID(ISSUE_STATE_ID)수서방법ID(ACQ_METHOD_ID)제공처ID(PROVIDER_ID)복본수(COPY_CNT)입수책수(RECEIPT_CNT)합본권호수(BOUND_VOLUME_CNT)딸림유형ID(SUPPLEMENT_TYPE_ID)권호(VOLUME)통권호(CONS_VOLUME)통권값(CONS_VOLUME_VALUE)발행일자(PUBLISH_DATE)입수예정일자(RECEIPT_DUE_DATE)입수일자(RECEIPT_DATE)제본유형ID(BIND_TYPE_ID)권호유형ID(VOLUME_TYPE_ID)입수서고(LOCATION_ID)계속자료주문ID(CR_ORDER_ID)주기사항(NOTE)생성일자(DATE_CREATED)수정일자(LAST_UPDATED)
2378045059136입수구입기본계속자료제공처110<NA>2013, Vol.37 Iss.1<NA>02013-05-252013-06-142013-06-17제본안함정기호1자료실<NA><NA>2013-06-172015-04-23
257914733035입수구입기본계속자료제공처110<NA>2013, Vol.19 Iss.3<NA>02013-07-102013-07-302013-08-23제본안함정기호1자료실<NA><NA>2013-08-232015-05-12
2265743802245입수구입기본계속자료제공처110<NA>2013, Vol.61 Iss.3<NA>02013-03-052013-03-252013-05-16제본안함정기호1자료실<NA><NA>2013-05-162015-04-24
31666562191입수구입기본계속자료제공처110<NA>통권 333<NA>3331994-12-061998-02-092015-04-29제본함정기호1자료실<NA><NA>2015-04-292015-04-29
2055138888138입수구입기본계속자료제공처110<NA>2011, Vol.116 Iss.5<NA>02011-04-012011-04-212011-05-19제본안함정기호1자료실<NA><NA>2011-05-192015-06-02
680314095260결호구입기본계속자료제공처110<NA>2008, Vol.165<NA>02008-03-012008-03-212012-02-28제본함정기호1자료실<NA><NA>2012-02-282015-05-12
119202357144입수구입기본계속자료제공처110<NA>vol.10, iss.10<NA>01995-10-171997-11-182015-04-28제본함정기호1자료실<NA><NA>2015-04-282015-04-28
3024357613227입수구입기본계속자료제공처110<NA>2017, Vol.111 Iss.3<NA>02017-07-012017-07-212018-01-08제본안함정기호1자료실<NA><NA>2018-01-082018-01-08
259864785354입수구입기본계속자료제공처110<NA>2013, Vol.27 Iss.4<NA>02013-10-012013-10-212013-11-14제본안함정기호1자료실<NA><NA>2013-11-142015-05-12
23793668172입수구입기본계속자료제공처110<NA>vol.15, iss.3<NA>01993-11-061997-11-181993-11-06제본함정기호1자료실<NA><NA>1993-11-061993-11-06
ID(ID)계속자료수서ID(CR_ACQUISITION_ID)이슈상태ID(ISSUE_STATE_ID)수서방법ID(ACQ_METHOD_ID)제공처ID(PROVIDER_ID)복본수(COPY_CNT)입수책수(RECEIPT_CNT)합본권호수(BOUND_VOLUME_CNT)딸림유형ID(SUPPLEMENT_TYPE_ID)권호(VOLUME)통권호(CONS_VOLUME)통권값(CONS_VOLUME_VALUE)발행일자(PUBLISH_DATE)입수예정일자(RECEIPT_DUE_DATE)입수일자(RECEIPT_DATE)제본유형ID(BIND_TYPE_ID)권호유형ID(VOLUME_TYPE_ID)입수서고(LOCATION_ID)계속자료주문ID(CR_ORDER_ID)주기사항(NOTE)생성일자(DATE_CREATED)수정일자(LAST_UPDATED)
1816233571124입수구입기본계속자료제공처110<NA>2009,6036032009-02-052009-03-272009-04-02제본안함정기호특수자료실<NA><NA>2009-04-022020-09-08
742414716261입수구입기본계속자료제공처110<NA>vol.25, iss.2<NA>02000-09-302000-11-172012-02-28제본함정기호1자료실<NA><NA>2012-02-282012-02-28
2404745356427입수구입기본계속자료제공처110<NA>2013, 4호<NA>02013-04-012013-04-212013-06-24제본안함정기호1자료실<NA><NA>2013-06-242020-09-08
185323450484입수구입기본계속자료제공처110<NA>2009, Vol.32 Iss.9<NA>02009-09-032009-09-232009-09-08제본안함정기호1자료실<NA><NA>2009-09-082009-09-08
2745051231102입수구입기본계속자료제공처110<NA>2015, Iss.3 하반기<NA>02015-03-102015-03-302015-04-23제본안함정기호1자료실<NA><NA>2015-04-232015-06-29
26183943177입수구입기본계속자료제공처110<NA>2002년, iss.49<NA>02002-12-032003-01-102015-04-28제본함정기호1자료실<NA><NA>2015-04-282015-04-28
3178860263515입수수증기본계속자료제공처111<NA>2017, Vol.30 No.3002017-09-012017-09-152019-04-30제본안함정기호1자료실<NA><NA>2019-04-302019-04-30
226294374053입수구입기본계속자료제공처110<NA>2013, Iss.4<NA>02013-04-262013-05-162013-05-09제본안함정기호1자료실<NA><NA>2013-05-092015-04-23
1729332085134입수구입기본계속자료제공처110<NA>통권 274<NA>2741996-04-192004-09-071996-04-19제본함정기호1자료실<NA><NA>1996-04-191996-04-19
2822952745256입수구입기본계속자료제공처110<NA>2015, Vol.94 Iss.6<NA>02016-01-012016-01-212015-11-02제본안함정기호1자료실<NA><NA>2015-11-022020-08-11