Overview

Dataset statistics

Number of variables14
Number of observations10000
Missing cells18464
Missing cells (%)13.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 MiB
Average record size in memory124.0 B

Variable types

Numeric3
Text6
Categorical4
Boolean1

Dataset

Description통계작성기관이 통계를 작성을 위해 공공기관이 보유하고 있는 행정자료를 우선 활용할 수 있도록 법제처 법령서식 정보를 활용하여 구축한 행정자료 정보
URLhttps://www.data.go.kr/data/15119079/fileData.do

Alerts

서식종류코드 has constant value ""Constant
서식종류명 has constant value ""Constant
제공여부 has constant value ""Constant
법령ID is highly overall correlated with 비고High correlation
서식번호 is highly overall correlated with 비고High correlation
DB구축여부 is highly overall correlated with 비고High correlation
비고 is highly overall correlated with 법령ID and 2 other fieldsHigh correlation
DB구축여부 is highly imbalanced (65.9%)Imbalance
비고 is highly imbalanced (98.3%)Imbalance
서식링크 has 1454 (14.5%) missing valuesMissing
출처정보 has 7776 (77.8%) missing valuesMissing
구축DB명 has 9234 (92.3%) missing valuesMissing

Reproduction

Analysis started2023-12-12 06:36:59.562648
Analysis finished2023-12-12 06:37:04.287272
Duration4.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

법령코드
Real number (ℝ)

Distinct1240
Distinct (%)12.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean227462.58
Minimum23517
Maximum252915
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T15:37:04.390591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23517
5-th percentile198060
Q1214317
median231842
Q3241125
95-th percentile251825
Maximum252915
Range229398
Interquartile range (IQR)26808

Descriptive statistics

Standard deviation18383.386
Coefficient of variation (CV)0.080819387
Kurtosis7.8095378
Mean227462.58
Median Absolute Deviation (MAD)12111
Skewness-1.6550797
Sum2.2746258 × 109
Variance3.3794888 × 108
MonotonicityNot monotonic
2023-12-12T15:37:04.635877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
192878 67
 
0.7%
243901 65
 
0.7%
236539 60
 
0.6%
243733 59
 
0.6%
233891 54
 
0.5%
240305 53
 
0.5%
207954 52
 
0.5%
252335 52
 
0.5%
214079 51
 
0.5%
236403 50
 
0.5%
Other values (1230) 9437
94.4%
ValueCountFrequency (%)
23517 1
 
< 0.1%
96646 7
0.1%
102720 14
0.1%
107810 1
 
< 0.1%
108537 4
 
< 0.1%
121124 2
 
< 0.1%
122967 3
 
< 0.1%
130542 2
 
< 0.1%
131226 4
 
< 0.1%
132945 1
 
< 0.1%
ValueCountFrequency (%)
252915 1
 
< 0.1%
252865 9
 
0.1%
252863 30
0.3%
252855 2
 
< 0.1%
252823 12
 
0.1%
252821 1
 
< 0.1%
252817 11
 
0.1%
252815 17
 
0.2%
252741 46
0.5%
252655 22
0.2%

법령ID
Real number (ℝ)

HIGH CORRELATION 

Distinct348
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8353.1637
Minimum2098
Maximum14462
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T15:37:04.925702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2098
5-th percentile6174
Q16845
median7709
Q39859
95-th percentile12576.2
Maximum14462
Range12364
Interquartile range (IQR)3014

Descriptive statistics

Standard deviation2084.4798
Coefficient of variation (CV)0.24954375
Kurtosis0.12842659
Mean8353.1637
Median Absolute Deviation (MAD)1148
Skewness0.76688609
Sum83531637
Variance4345055.9
MonotonicityNot monotonic
2023-12-12T15:37:05.218504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7079 817
 
8.2%
7928 581
 
5.8%
6288 559
 
5.6%
7248 504
 
5.0%
6174 315
 
3.1%
7709 281
 
2.8%
9859 251
 
2.5%
10019 243
 
2.4%
6796 243
 
2.4%
8740 236
 
2.4%
Other values (338) 5970
59.7%
ValueCountFrequency (%)
2098 1
 
< 0.1%
2195 5
 
0.1%
2199 2
 
< 0.1%
2211 1
 
< 0.1%
2228 5
 
0.1%
2389 1
 
< 0.1%
2546 2
 
< 0.1%
2559 1
 
< 0.1%
2580 23
0.2%
2586 7
 
0.1%
ValueCountFrequency (%)
14462 23
0.2%
14438 5
 
0.1%
14389 1
 
< 0.1%
14297 2
 
< 0.1%
14272 4
 
< 0.1%
14263 9
 
0.1%
14208 1
 
< 0.1%
14176 4
 
< 0.1%
14166 4
 
< 0.1%
14165 1
 
< 0.1%

서식명
Text

Distinct5235
Distinct (%)52.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T15:37:05.782070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length148
Median length104
Mean length23.8131
Min length9

Characters and Unicode

Total characters238131
Distinct characters484
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2642 ?
Unique (%)26.4%

Sample

1st row[서식 18] 철도차량 운전면허증
2nd row[서식 2] 적격심사 의결서
3rd row[서식 33] 수색조서
4th row[서식 19] 인증 신청서
5th row[서식 11] 삭제 <1999.10.19>
ValueCountFrequency (%)
서식 10000
 
21.0%
신청서 1036
 
2.2%
삭제 917
 
1.9%
신고서 411
 
0.9%
2 369
 
0.8%
6 329
 
0.7%
3 324
 
0.7%
1 324
 
0.7%
4 296
 
0.6%
및 283
 
0.6%
Other values (6318) 33398
70.0%
2023-12-12T15:37:06.750922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37709
 
15.8%
서 17081
 
7.2%
[ 10205
 
4.3%
] 10204
 
4.3%
식 10135
 
4.3%
1 5743
 
2.4%
2 5295
 
2.2%
신 4070
 
1.7%
사 3362
 
1.4%
의 3049
 
1.3%
Other values (474) 131278
55.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 141255
59.3%
Space Separator 37709
 
15.8%
Decimal Number 26867
 
11.3%
Close Punctuation 12460
 
5.2%
Open Punctuation 12459
 
5.2%
Other Punctuation 3989
 
1.7%
Math Symbol 1709
 
0.7%
Lowercase Letter 1199
 
0.5%
Uppercase Letter 373
 
0.2%
Other Symbol 90
 
< 0.1%
Other values (3) 21
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 17081
 
12.1%
식 10135
 
7.2%
신 4070
 
2.9%
사 3362
 
2.4%
의 3049
 
2.2%
자 2920
 
2.1%
청 2870
 
2.0%
지 2711
 
1.9%
고 2212
 
1.6%
인 2169
 
1.5%
Other values (394) 90676
64.2%
Uppercase Letter
ValueCountFrequency (%)
I 44
11.8%
C 40
10.7%
T 38
10.2%
A 30
 
8.0%
L 28
 
7.5%
N 24
 
6.4%
F 23
 
6.2%
E 21
 
5.6%
O 20
 
5.4%
D 19
 
5.1%
Other values (14) 86
23.1%
Lowercase Letter
ValueCountFrequency (%)
i 148
12.3%
e 146
12.2%
r 123
10.3%
t 121
10.1%
o 109
9.1%
a 90
7.5%
n 86
7.2%
c 71
 
5.9%
f 58
 
4.8%
s 53
 
4.4%
Other values (11) 194
16.2%
Decimal Number
ValueCountFrequency (%)
1 5743
21.4%
2 5295
19.7%
3 2971
11.1%
4 2442
9.1%
0 2258
 
8.4%
5 1881
 
7.0%
9 1776
 
6.6%
6 1559
 
5.8%
7 1531
 
5.7%
8 1411
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 2094
52.5%
, 1700
42.6%
· 147
 
3.7%
/ 27
 
0.7%
' 15
 
0.4%
& 2
 
0.1%
; 2
 
0.1%
# 2
 
0.1%
Open Punctuation
ValueCountFrequency (%)
[ 10205
81.9%
( 2242
 
18.0%
「 12
 
0.1%
Close Punctuation
ValueCountFrequency (%)
] 10204
81.9%
) 2244
 
18.0%
」 12
 
0.1%
Math Symbol
ValueCountFrequency (%)
> 854
50.0%
< 854
50.0%
→ 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅲ 7
46.7%
Ⅰ 5
33.3%
Ⅱ 3
20.0%
Other Symbol
ValueCountFrequency (%)
□ 80
88.9%
○ 10
 
11.1%
Space Separator
ValueCountFrequency (%)
37709
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 141243
59.3%
Common 95289
40.0%
Latin 1587
 
0.7%
Han 12
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 17081
 
12.1%
식 10135
 
7.2%
신 4070
 
2.9%
사 3362
 
2.4%
의 3049
 
2.2%
자 2920
 
2.1%
청 2870
 
2.0%
지 2711
 
1.9%
고 2212
 
1.6%
인 2169
 
1.5%
Other values (390) 90664
64.2%
Latin
ValueCountFrequency (%)
i 148
 
9.3%
e 146
 
9.2%
r 123
 
7.8%
t 121
 
7.6%
o 109
 
6.9%
a 90
 
5.7%
n 86
 
5.4%
c 71
 
4.5%
f 58
 
3.7%
s 53
 
3.3%
Other values (38) 582
36.7%
Common
ValueCountFrequency (%)
37709
39.6%
[ 10205
 
10.7%
] 10204
 
10.7%
1 5743
 
6.0%
2 5295
 
5.6%
3 2971
 
3.1%
4 2442
 
2.6%
0 2258
 
2.4%
) 2244
 
2.4%
( 2242
 
2.4%
Other values (22) 13976
 
14.7%
Han
ValueCountFrequency (%)
性 3
25.0%
定 3
25.0%
病 3
25.0%
歷 3
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 140256
58.9%
ASCII 96596
40.6%
Compat Jamo 987
 
0.4%
None 171
 
0.1%
Geometric Shapes 90
 
< 0.1%
Number Forms 15
 
< 0.1%
CJK 12
 
< 0.1%
Punctuation 3
 
< 0.1%
Arrows 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37709
39.0%
[ 10205
 
10.6%
] 10204
 
10.6%
1 5743
 
5.9%
2 5295
 
5.5%
3 2971
 
3.1%
4 2442
 
2.5%
0 2258
 
2.3%
) 2244
 
2.3%
( 2242
 
2.3%
Other values (60) 15283
15.8%
Hangul
ValueCountFrequency (%)
서 17081
 
12.2%
식 10135
 
7.2%
신 4070
 
2.9%
사 3362
 
2.4%
의 3049
 
2.2%
자 2920
 
2.1%
청 2870
 
2.0%
지 2711
 
1.9%
고 2212
 
1.6%
인 2169
 
1.5%
Other values (389) 89677
63.9%
Compat Jamo
ValueCountFrequency (%)
ㆍ 987
100.0%
None
ValueCountFrequency (%)
· 147
86.0%
」 12
 
7.0%
「 12
 
7.0%
Geometric Shapes
ValueCountFrequency (%)
□ 80
88.9%
○ 10
 
11.1%
Number Forms
ValueCountFrequency (%)
Ⅲ 7
46.7%
Ⅰ 5
33.3%
Ⅱ 3
20.0%
Punctuation
ValueCountFrequency (%)
’ 3
100.0%
CJK
ValueCountFrequency (%)
性 3
25.0%
定 3
25.0%
病 3
25.0%
歷 3
25.0%
Arrows
ValueCountFrequency (%)
→ 1
100.0%

서식번호
Real number (ℝ)

HIGH CORRELATION 

Distinct631
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3468.0226
Minimum0
Maximum27200
Zeros22
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T15:37:07.068181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile200
Q1800
median2100
Q34500
95-th percentile12300
Maximum27200
Range27200
Interquartile range (IQR)3700

Descriptive statistics

Standard deviation3965.8524
Coefficient of variation (CV)1.1435486
Kurtosis5.3833896
Mean3468.0226
Median Absolute Deviation (MAD)1500
Skewness2.1160061
Sum34680226
Variance15727985
MonotonicityNot monotonic
2023-12-12T15:37:07.396492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200 310
 
3.1%
300 301
 
3.0%
100 291
 
2.9%
400 280
 
2.8%
600 271
 
2.7%
500 260
 
2.6%
700 244
 
2.4%
800 214
 
2.1%
900 195
 
1.9%
1000 187
 
1.9%
Other values (621) 7447
74.5%
ValueCountFrequency (%)
0 22
 
0.2%
100 291
2.9%
101 1
 
< 0.1%
102 44
 
0.4%
103 30
 
0.3%
104 19
 
0.2%
105 9
 
0.1%
106 4
 
< 0.1%
108 2
 
< 0.1%
200 310
3.1%
ValueCountFrequency (%)
27200 1
 
< 0.1%
27000 3
< 0.1%
26900 2
< 0.1%
26800 2
< 0.1%
26500 2
< 0.1%
26300 1
 
< 0.1%
26200 2
< 0.1%
26100 1
 
< 0.1%
25900 1
 
< 0.1%
25800 1
 
< 0.1%

서식종류코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
110202
10000 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row110202
2nd row110202
3rd row110202
4th row110202
5th row110202

Common Values

ValueCountFrequency (%)
110202 10000
100.0%

Length

2023-12-12T15:37:07.687413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:37:07.863891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
110202 10000
100.0%

서식종류명
Categorical

CONSTANT 

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

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서식 10000
100.0%

Length

2023-12-12T15:37:07.995993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:37:08.081080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서식 10000
100.0%

HWP파일링크
Text

Distinct9994
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T15:37:08.295568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length33
Mean length33.4946
Min length33

Characters and Unicode

Total characters334946
Distinct characters27
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

Unique9988 ?
Unique (%)99.9%

Sample

1st row/LSW/flDownload.do?flSeq=47356623
2nd row/LSW/flDownload.do?flSeq=124642309
3rd row/LSW/flDownload.do?flSeq=42259737
4th row/LSW/flDownload.do?flSeq=47639035
5th row/LSW/flDownload.do?flSeq=107110607
ValueCountFrequency (%)
lsw/fldownload.do?flseq=117834227 2
 
< 0.1%
lsw/fldownload.do?flseq=47523939 2
 
< 0.1%
lsw/fldownload.do?flseq=117834269 2
 
< 0.1%
lsw/fldownload.do?flseq=47523969 2
 
< 0.1%
lsw/fldownload.do?flseq=47523957 2
 
< 0.1%
lsw/fldownload.do?flseq=47523951 2
 
< 0.1%
lsw/fldownload.do?flseq=122646475 1
 
< 0.1%
lsw/fldownload.do?flseq=79035757 1
 
< 0.1%
lsw/fldownload.do?flseq=113192431 1
 
< 0.1%
lsw/fldownload.do?flseq=47014903 1
 
< 0.1%
Other values (9984) 9984
99.8%
2023-12-12T15:37:08.627143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 30000
 
9.0%
o 30000
 
9.0%
/ 20000
 
6.0%
S 20000
 
6.0%
f 20000
 
6.0%
d 20000
 
6.0%
1 14375
 
4.3%
. 10000
 
3.0%
= 10000
 
3.0%
q 10000
 
3.0%
Other values (17) 150571
45.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 150000
44.8%
Decimal Number 84946
25.4%
Uppercase Letter 50000
 
14.9%
Other Punctuation 40000
 
11.9%
Math Symbol 10000
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 14375
16.9%
9 8649
10.2%
5 8468
10.0%
3 8393
9.9%
7 8206
9.7%
0 7618
9.0%
2 7614
9.0%
4 7426
8.7%
8 7412
8.7%
6 6785
8.0%
Lowercase Letter
ValueCountFrequency (%)
l 30000
20.0%
o 30000
20.0%
f 20000
13.3%
d 20000
13.3%
q 10000
 
6.7%
e 10000
 
6.7%
a 10000
 
6.7%
n 10000
 
6.7%
w 10000
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
S 20000
40.0%
L 10000
20.0%
D 10000
20.0%
W 10000
20.0%
Other Punctuation
ValueCountFrequency (%)
/ 20000
50.0%
. 10000
25.0%
? 10000
25.0%
Math Symbol
ValueCountFrequency (%)
= 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 200000
59.7%
Common 134946
40.3%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 20000
14.8%
1 14375
10.7%
. 10000
 
7.4%
= 10000
 
7.4%
? 10000
 
7.4%
9 8649
 
6.4%
5 8468
 
6.3%
3 8393
 
6.2%
7 8206
 
6.1%
0 7618
 
5.6%
Other values (4) 29237
21.7%
Latin
ValueCountFrequency (%)
l 30000
15.0%
o 30000
15.0%
S 20000
10.0%
f 20000
10.0%
d 20000
10.0%
q 10000
 
5.0%
e 10000
 
5.0%
L 10000
 
5.0%
a 10000
 
5.0%
n 10000
 
5.0%
Other values (3) 30000
15.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 334946
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 30000
 
9.0%
o 30000
 
9.0%
/ 20000
 
6.0%
S 20000
 
6.0%
f 20000
 
6.0%
d 20000
 
6.0%
1 14375
 
4.3%
. 10000
 
3.0%
= 10000
 
3.0%
q 10000
 
3.0%
Other values (17) 150571
45.0%

PDF파일링크
Text

Distinct9831
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T15:37:08.861957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length33
Mean length33.3634
Min length25

Characters and Unicode

Total characters333634
Distinct characters27
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

Unique9824 ?
Unique (%)98.2%

Sample

1st row/LSW/flDownload.do?flSeq=47356625
2nd row/LSW/flDownload.do?flSeq=124642311
3rd row/LSW/flDownload.do?flSeq=42259739
4th row/LSW/flDownload.do?flSeq=47639037
5th row/LSW/flDownload.do?flSeq=107110609
ValueCountFrequency (%)
lsw/fldownload.do?flseq 164
 
1.6%
lsw/fldownload.do?flseq=47523959 2
 
< 0.1%
lsw/fldownload.do?flseq=47523953 2
 
< 0.1%
lsw/fldownload.do?flseq=47523971 2
 
< 0.1%
lsw/fldownload.do?flseq=117834229 2
 
< 0.1%
lsw/fldownload.do?flseq=47523941 2
 
< 0.1%
lsw/fldownload.do?flseq=117834271 2
 
< 0.1%
lsw/fldownload.do?flseq=106186143 1
 
< 0.1%
lsw/fldownload.do?flseq=58187919 1
 
< 0.1%
lsw/fldownload.do?flseq=63151441 1
 
< 0.1%
Other values (9821) 9821
98.2%
2023-12-12T15:37:09.234357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 30000
 
9.0%
o 30000
 
9.0%
/ 20000
 
6.0%
S 20000
 
6.0%
f 20000
 
6.0%
d 20000
 
6.0%
1 14275
 
4.3%
. 10000
 
3.0%
= 10000
 
3.0%
q 10000
 
3.0%
Other values (17) 149359
44.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 150000
45.0%
Decimal Number 83634
25.1%
Uppercase Letter 50000
 
15.0%
Other Punctuation 40000
 
12.0%
Math Symbol 10000
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 14275
17.1%
9 8586
10.3%
5 8335
10.0%
3 8249
9.9%
7 8054
9.6%
0 7473
8.9%
2 7452
8.9%
8 7307
8.7%
4 7231
8.6%
6 6672
8.0%
Lowercase Letter
ValueCountFrequency (%)
l 30000
20.0%
o 30000
20.0%
f 20000
13.3%
d 20000
13.3%
q 10000
 
6.7%
e 10000
 
6.7%
a 10000
 
6.7%
n 10000
 
6.7%
w 10000
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
S 20000
40.0%
L 10000
20.0%
D 10000
20.0%
W 10000
20.0%
Other Punctuation
ValueCountFrequency (%)
/ 20000
50.0%
. 10000
25.0%
? 10000
25.0%
Math Symbol
ValueCountFrequency (%)
= 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 200000
59.9%
Common 133634
40.1%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 20000
15.0%
1 14275
10.7%
. 10000
 
7.5%
= 10000
 
7.5%
? 10000
 
7.5%
9 8586
 
6.4%
5 8335
 
6.2%
3 8249
 
6.2%
7 8054
 
6.0%
0 7473
 
5.6%
Other values (4) 28662
21.4%
Latin
ValueCountFrequency (%)
l 30000
15.0%
o 30000
15.0%
S 20000
10.0%
f 20000
10.0%
d 20000
10.0%
q 10000
 
5.0%
e 10000
 
5.0%
L 10000
 
5.0%
a 10000
 
5.0%
n 10000
 
5.0%
Other values (3) 30000
15.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 333634
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 30000
 
9.0%
o 30000
 
9.0%
/ 20000
 
6.0%
S 20000
 
6.0%
f 20000
 
6.0%
d 20000
 
6.0%
1 14275
 
4.3%
. 10000
 
3.0%
= 10000
 
3.0%
q 10000
 
3.0%
Other values (17) 149359
44.8%

서식링크
Text

MISSING 

Distinct8540
Distinct (%)99.9%
Missing1454
Missing (%)14.5%
Memory size156.2 KiB
2023-12-12T15:37:09.534895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length74
Mean length74.632109
Min length73

Characters and Unicode

Total characters637806
Distinct characters45
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

Unique8534 ?
Unique (%)99.9%

Sample

1st row/DRF/lawService.do?OC=waytogod&target=licbyl&ID=8338428&type=HTML&mobileYn=
2nd row/DRF/lawService.do?OC=true24&target=licbyl&ID=15255005&type=HTML&mobileYn=
3rd row/DRF/lawService.do?OC=waytogod&target=licbyl&ID=8363096&type=HTML&mobileYn=
4th row/DRF/lawService.do?OC=true24&target=licbyl&ID=13679543&type=HTML&mobileYn=
5th row/DRF/lawService.do?OC=true24&target=licbyl&ID=15124833&type=HTML&mobileYn=
ValueCountFrequency (%)
drf/lawservice.do?oc=true24&target=licbyl&id=14743645&type=html&mobileyn 2
 
< 0.1%
drf/lawservice.do?oc=waytogod&target=licbyl&id=8353327&type=html&mobileyn 2
 
< 0.1%
drf/lawservice.do?oc=waytogod&target=licbyl&id=8353325&type=html&mobileyn 2
 
< 0.1%
drf/lawservice.do?oc=waytogod&target=licbyl&id=8353324&type=html&mobileyn 2
 
< 0.1%
drf/lawservice.do?oc=waytogod&target=licbyl&id=8353322&type=html&mobileyn 2
 
< 0.1%
drf/lawservice.do?oc=true24&target=licbyl&id=14743659&type=html&mobileyn 2
 
< 0.1%
drf/lawservice.do?oc=waytogod&target=licbyl&id=9004015&type=html&mobileyn 1
 
< 0.1%
drf/lawservice.do?oc=true24&target=licbyl&id=14155699&type=html&mobileyn 1
 
< 0.1%
drf/lawservice.do?oc=waytogod&target=licbyl&id=9039379&type=html&mobileyn 1
 
< 0.1%
drf/lawservice.do?oc=waytogod&target=licbyl&id=10265477&type=html&mobileyn 1
 
< 0.1%
Other values (8530) 8530
99.8%
2023-12-12T15:37:10.010195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 47563
 
7.5%
= 42730
 
6.7%
t 34184
 
5.4%
& 34184
 
5.4%
l 34184
 
5.4%
i 25638
 
4.0%
o 24518
 
3.8%
r 21925
 
3.4%
a 20805
 
3.3%
y 20805
 
3.3%
Other values (35) 331270
51.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 339600
53.2%
Uppercase Letter 111098
 
17.4%
Decimal Number 76010
 
11.9%
Other Punctuation 68368
 
10.7%
Math Symbol 42730
 
6.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 47563
14.0%
t 34184
10.1%
l 34184
10.1%
i 25638
 
7.5%
o 24518
 
7.2%
r 21925
 
6.5%
a 20805
 
6.1%
y 20805
 
6.1%
b 17092
 
5.0%
c 17092
 
5.0%
Other values (8) 75794
22.3%
Uppercase Letter
ValueCountFrequency (%)
D 17092
15.4%
C 8546
7.7%
R 8546
7.7%
L 8546
7.7%
M 8546
7.7%
T 8546
7.7%
H 8546
7.7%
Y 8546
7.7%
I 8546
7.7%
F 8546
7.7%
Other values (2) 17092
15.4%
Decimal Number
ValueCountFrequency (%)
1 13397
17.6%
4 10882
14.3%
2 10794
14.2%
3 7457
9.8%
5 6914
9.1%
9 6632
8.7%
7 5659
7.4%
6 4883
 
6.4%
0 4844
 
6.4%
8 4548
 
6.0%
Other Punctuation
ValueCountFrequency (%)
& 34184
50.0%
/ 17092
25.0%
. 8546
 
12.5%
? 8546
 
12.5%
Math Symbol
ValueCountFrequency (%)
= 42730
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 450698
70.7%
Common 187108
29.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 47563
 
10.6%
t 34184
 
7.6%
l 34184
 
7.6%
i 25638
 
5.7%
o 24518
 
5.4%
r 21925
 
4.9%
a 20805
 
4.6%
y 20805
 
4.6%
b 17092
 
3.8%
c 17092
 
3.8%
Other values (20) 186892
41.5%
Common
ValueCountFrequency (%)
= 42730
22.8%
& 34184
18.3%
/ 17092
 
9.1%
1 13397
 
7.2%
4 10882
 
5.8%
2 10794
 
5.8%
. 8546
 
4.6%
? 8546
 
4.6%
3 7457
 
4.0%
5 6914
 
3.7%
Other values (5) 26566
14.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 637806
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 47563
 
7.5%
= 42730
 
6.7%
t 34184
 
5.4%
& 34184
 
5.4%
l 34184
 
5.4%
i 25638
 
4.0%
o 24518
 
3.8%
r 21925
 
3.4%
a 20805
 
3.3%
y 20805
 
3.3%
Other values (35) 331270
51.9%

DB구축여부
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
N
9012 
Y
 
769
X
 
219

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
N 9012
90.1%
Y 769
 
7.7%
X 219
 
2.2%

Length

2023-12-12T15:37:10.197075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:37:10.392361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 9012
90.1%
y 769
 
7.7%
x 219
 
2.2%

제공여부
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
10000 
ValueCountFrequency (%)
False 10000
100.0%
2023-12-12T15:37:10.478741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

비고
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9944 
(2019-09-16) 공문회신
 
33
협회 관리
 
6
지자체 관리
 
4
지방국토관리청 소관
 
2
Other values (8)
 
11

Length

Max length38
Median length4
Mean length4.0591
Min length4

Unique

Unique5 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9944
99.4%
(2019-09-16) 공문회신 33
 
0.3%
협회 관리 6
 
0.1%
지자체 관리 4
 
< 0.1%
지방국토관리청 소관 2
 
< 0.1%
지자체(시도)업무 2
 
< 0.1%
지자체에서접수받으며 우리부에서는 별도의 DB구축 하지 않음 2
 
< 0.1%
지자체 업무 2
 
< 0.1%
수집되는 자료 아님 1
 
< 0.1%
다우리 문서대장에 등록 1
 
< 0.1%
Other values (3) 3
 
< 0.1%

Length

2023-12-12T15:37:10.614874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 9944
98.8%
공문회신 33
 
0.3%
2019-09-16 33
 
0.3%
관리 10
 
0.1%
협회 6
 
0.1%
지자체 6
 
0.1%
별도의 2
 
< 0.1%
업무 2
 
< 0.1%
않음 2
 
< 0.1%
하지 2
 
< 0.1%
Other values (23) 29
 
0.3%

출처정보
Text

MISSING 

Distinct235
Distinct (%)10.6%
Missing7776
Missing (%)77.8%
Memory size156.2 KiB
2023-12-12T15:37:10.867136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length256
Median length139
Mean length49.275629
Min length18

Characters and Unicode

Total characters109589
Distinct characters246
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

Unique51 ?
Unique (%)2.3%

Sample

1st row국토교통부(교통정책조정과-교통시설투자), 044-201-3789
2nd row고용노동부(고용보험기획과 - 고용보험제도), 044-202-7352 고용노동부(고용지원실업급여과 - 실업급여), 044-202-7376 고용노동부(여성고용정책과 - 모성보호), 044-202-7476 고용노동부(고용지원실업급여과 - 피보험자 관리), 044-202-7380 고용노동부(인적자원개발과 - 사업주 및 근로자 직업능력개발 훈련지원), 044-202-7317 고용노동부(고용정책총괄과 - 고용촉진지원금, 고용유지지원금 등), 044-202-7218
3rd row국토교통부(건축정책과), 044-201-3763(제도)4837(시스템)
4th row국토교통부(부동산평가과-총괄), 044-201-3427
5th row고용노동부(고용보험기획과 - 고용보험제도), 044-202-7352 고용노동부(고용지원실업급여과 - 실업급여), 044-202-7376 고용노동부(여성고용정책과 - 모성보호), 044-202-7476 고용노동부(고용지원실업급여과 - 피보험자 관리), 044-202-7380 고용노동부(인적자원개발과 - 사업주 및 근로자 직업능력개발 훈련지원), 044-202-7317 고용노동부(고용정책총괄과 - 고용촉진지원금, 고용유지지원금 등), 044-202-7218
ValueCountFrequency (%)
1015
 
10.1%
고용노동부(고용지원실업급여과 282
 
2.8%
고용노동부(고용보험기획과 241
 
2.4%
국토교통부(자동차운영보험과 175
 
1.7%
고용노동부(여성고용정책과 146
 
1.5%
근로자 144
 
1.4%
고용노동부(고용정책총괄과 142
 
1.4%
044-202-7352 141
 
1.4%
044-202-7218 141
 
1.4%
등 141
 
1.4%
Other values (496) 7481
74.4%
2023-12-12T15:37:11.341475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9227
 
8.4%
- 7626
 
7.0%
4 7468
 
6.8%
0 7077
 
6.5%
2 6226
 
5.7%
, 3898
 
3.6%
( 3348
 
3.1%
) 3344
 
3.1%
과 3305
 
3.0%
부 3044
 
2.8%
Other values (236) 55026
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48832
44.6%
Decimal Number 33088
30.2%
Space Separator 9227
 
8.4%
Dash Punctuation 7626
 
7.0%
Other Punctuation 3954
 
3.6%
Open Punctuation 3348
 
3.1%
Close Punctuation 3344
 
3.1%
Uppercase Letter 170
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 3305
 
6.8%
부 3044
 
6.2%
용 2661
 
5.4%
고 2605
 
5.3%
통 1713
 
3.5%
교 1675
 
3.4%
동 1607
 
3.3%
보 1504
 
3.1%
정 1503
 
3.1%
국 1391
 
2.8%
Other values (212) 27824
57.0%
Decimal Number
ValueCountFrequency (%)
4 7468
22.6%
0 7077
21.4%
2 6226
18.8%
3 2923
 
8.8%
7 2711
 
8.2%
1 2314
 
7.0%
5 1304
 
3.9%
6 1284
 
3.9%
8 1209
 
3.7%
9 572
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
S 72
42.4%
M 48
28.2%
P 24
 
14.1%
D 24
 
14.1%
F 1
 
0.6%
T 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
, 3898
98.6%
/ 35
 
0.9%
. 11
 
0.3%
· 10
 
0.3%
Space Separator
ValueCountFrequency (%)
9227
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7626
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3348
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3344
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 60587
55.3%
Hangul 48832
44.6%
Latin 170
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 3305
 
6.8%
부 3044
 
6.2%
용 2661
 
5.4%
고 2605
 
5.3%
통 1713
 
3.5%
교 1675
 
3.4%
동 1607
 
3.3%
보 1504
 
3.1%
정 1503
 
3.1%
국 1391
 
2.8%
Other values (212) 27824
57.0%
Common
ValueCountFrequency (%)
9227
15.2%
- 7626
12.6%
4 7468
12.3%
0 7077
11.7%
2 6226
10.3%
, 3898
6.4%
( 3348
 
5.5%
) 3344
 
5.5%
3 2923
 
4.8%
7 2711
 
4.5%
Other values (8) 6739
11.1%
Latin
ValueCountFrequency (%)
S 72
42.4%
M 48
28.2%
P 24
 
14.1%
D 24
 
14.1%
F 1
 
0.6%
T 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 60747
55.4%
Hangul 48832
44.6%
None 10
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9227
15.2%
- 7626
12.6%
4 7468
12.3%
0 7077
11.6%
2 6226
10.2%
, 3898
6.4%
( 3348
 
5.5%
) 3344
 
5.5%
3 2923
 
4.8%
7 2711
 
4.5%
Other values (13) 6899
11.4%
Hangul
ValueCountFrequency (%)
과 3305
 
6.8%
부 3044
 
6.2%
용 2661
 
5.4%
고 2605
 
5.3%
통 1713
 
3.5%
교 1675
 
3.4%
동 1607
 
3.3%
보 1504
 
3.1%
정 1503
 
3.1%
국 1391
 
2.8%
Other values (212) 27824
57.0%
None
ValueCountFrequency (%)
· 10
100.0%

구축DB명
Text

MISSING 

Distinct103
Distinct (%)13.4%
Missing9234
Missing (%)92.3%
Memory size156.2 KiB
2023-12-12T15:37:11.600995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length34
Mean length9.689295
Min length3

Characters and Unicode

Total characters7422
Distinct characters228
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)5.1%

Sample

1st row고용보험시스템
2nd row세움터 DB
3rd row고용보험시스템
4th row건설기계관리정보시스템
5th row에듀파인시스템
ValueCountFrequency (%)
고용보험시스템 141
 
13.3%
db 83
 
7.8%
근로복지공단 78
 
7.4%
노동보험시스템 78
 
7.4%
세움터 71
 
6.7%
tcs 54
 
5.1%
kras 38
 
3.6%
방송통신통합정보시스템 37
 
3.5%
새올행정시스템 36
 
3.4%
도로점용시스템 23
 
2.2%
Other values (140) 419
39.6%
2023-12-12T15:37:12.378722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 487
 
6.6%
스 472
 
6.4%
템 433
 
5.8%
보 336
 
4.5%
292
 
3.9%
험 222
 
3.0%
용 179
 
2.4%
고 169
 
2.3%
D 169
 
2.3%
정 163
 
2.2%
Other values (218) 4500
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5715
77.0%
Uppercase Letter 979
 
13.2%
Space Separator 292
 
3.9%
Other Punctuation 145
 
2.0%
Lowercase Letter 127
 
1.7%
Connector Punctuation 57
 
0.8%
Open Punctuation 39
 
0.5%
Close Punctuation 39
 
0.5%
Decimal Number 26
 
0.4%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 487
 
8.5%
스 472
 
8.3%
템 433
 
7.6%
보 336
 
5.9%
험 222
 
3.9%
용 179
 
3.1%
고 169
 
3.0%
정 163
 
2.9%
터 112
 
2.0%
동 104
 
1.8%
Other values (161) 3038
53.2%
Uppercase Letter
ValueCountFrequency (%)
D 169
17.3%
B 154
15.7%
S 132
13.5%
T 85
8.7%
C 82
8.4%
A 73
7.5%
R 64
 
6.5%
K 41
 
4.2%
I 37
 
3.8%
E 32
 
3.3%
Other values (13) 110
11.2%
Lowercase Letter
ValueCountFrequency (%)
r 24
18.9%
t 18
14.2%
s 14
11.0%
w 13
10.2%
e 13
10.2%
p 8
 
6.3%
k 7
 
5.5%
o 7
 
5.5%
h 7
 
5.5%
c 5
 
3.9%
Other values (5) 11
8.7%
Decimal Number
ValueCountFrequency (%)
1 7
26.9%
4 6
23.1%
2 4
15.4%
7 3
11.5%
3 2
 
7.7%
6 2
 
7.7%
5 1
 
3.8%
9 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 96
66.2%
/ 21
 
14.5%
. 21
 
14.5%
: 7
 
4.8%
Open Punctuation
ValueCountFrequency (%)
( 27
69.2%
[ 12
30.8%
Close Punctuation
ValueCountFrequency (%)
) 27
69.2%
] 12
30.8%
Space Separator
ValueCountFrequency (%)
292
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 57
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5715
77.0%
Latin 1106
 
14.9%
Common 601
 
8.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 487
 
8.5%
스 472
 
8.3%
템 433
 
7.6%
보 336
 
5.9%
험 222
 
3.9%
용 179
 
3.1%
고 169
 
3.0%
정 163
 
2.9%
터 112
 
2.0%
동 104
 
1.8%
Other values (161) 3038
53.2%
Latin
ValueCountFrequency (%)
D 169
15.3%
B 154
13.9%
S 132
11.9%
T 85
 
7.7%
C 82
 
7.4%
A 73
 
6.6%
R 64
 
5.8%
K 41
 
3.7%
I 37
 
3.3%
E 32
 
2.9%
Other values (28) 237
21.4%
Common
ValueCountFrequency (%)
292
48.6%
, 96
 
16.0%
_ 57
 
9.5%
( 27
 
4.5%
) 27
 
4.5%
/ 21
 
3.5%
. 21
 
3.5%
] 12
 
2.0%
[ 12
 
2.0%
1 7
 
1.2%
Other values (9) 29
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5714
77.0%
ASCII 1707
 
23.0%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 487
 
8.5%
스 472
 
8.3%
템 433
 
7.6%
보 336
 
5.9%
험 222
 
3.9%
용 179
 
3.1%
고 169
 
3.0%
정 163
 
2.9%
터 112
 
2.0%
동 104
 
1.8%
Other values (160) 3037
53.2%
ASCII
ValueCountFrequency (%)
292
17.1%
D 169
 
9.9%
B 154
 
9.0%
S 132
 
7.7%
, 96
 
5.6%
T 85
 
5.0%
C 82
 
4.8%
A 73
 
4.3%
R 64
 
3.7%
_ 57
 
3.3%
Other values (47) 503
29.5%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

Interactions

2023-12-12T15:37:02.980831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:37:01.975422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:37:02.497803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:37:03.174712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:37:02.165088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:37:02.658280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:37:03.358890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:37:02.349017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:37:02.809619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:37:12.515133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법령코드법령ID서식번호DB구축여부비고
법령코드1.0000.2160.1220.0780.664
법령ID0.2161.0000.3830.1600.969
서식번호0.1220.3831.0000.170NaN
DB구축여부0.0780.1600.1701.0000.841
비고0.6640.969NaN0.8411.000
2023-12-12T15:37:12.642011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
DB구축여부비고
DB구축여부1.0000.614
비고0.6141.000
2023-12-12T15:37:12.770813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법령코드법령ID서식번호DB구축여부비고
법령코드1.000-0.0200.0740.0510.329
법령ID-0.0201.000-0.1830.0960.699
서식번호0.074-0.1831.0000.1021.000
DB구축여부0.0510.0960.1021.0000.614
비고0.3290.6991.0000.6141.000

Missing values

2023-12-12T15:37:03.604307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:37:03.906982image/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.
2023-12-12T15:37:04.137302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

법령코드법령ID서식명서식번호서식종류코드서식종류명HWP파일링크PDF파일링크서식링크DB구축여부제공여부비고출처정보구축DB명
3964021092810019[서식 18] 철도차량 운전면허증1800110202서식/LSW/flDownload.do?flSeq=47356623/LSW/flDownload.do?flSeq=47356625/DRF/lawService.do?OC=waytogod&target=licbyl&ID=8338428&type=HTML&mobileYn=NN<NA><NA><NA>
26224800710475[서식 2] 적격심사 의결서200110202서식/LSW/flDownload.do?flSeq=124642309/LSW/flDownload.do?flSeq=124642311/DRF/lawService.do?OC=true24&target=licbyl&ID=15255005&type=HTML&mobileYn=NN<NA><NA><NA>
1612320463711328[서식 33] 수색조서3300110202서식/LSW/flDownload.do?flSeq=42259737/LSW/flDownload.do?flSeq=42259739<NA>NN<NA><NA><NA>
4190821098911146[서식 19] 인증 신청서1900110202서식/LSW/flDownload.do?flSeq=47639035/LSW/flDownload.do?flSeq=47639037/DRF/lawService.do?OC=waytogod&target=licbyl&ID=8363096&type=HTML&mobileYn=NN<NA>국토교통부(교통정책조정과-교통시설투자), 044-201-3789<NA>
269762349636174[서식 11] 삭제 <1999.10.19>1100110202서식/LSW/flDownload.do?flSeq=107110607/LSW/flDownload.do?flSeq=107110609/DRF/lawService.do?OC=true24&target=licbyl&ID=13679543&type=HTML&mobileYn=NN<NA><NA><NA>
4033224640110019[서식 41] 철도용품 제작자승인증명서4100110202서식/LSW/flDownload.do?flSeq=122501003/LSW/flDownload.do?flSeq=122501005/DRF/lawService.do?OC=true24&target=licbyl&ID=15124833&type=HTML&mobileYn=NN<NA><NA><NA>
60032078406288[서식 122] 고용보험심사관 결정서12200110202서식/LSW/flDownload.do?flSeq=40526292/LSW/flDownload.do?flSeq=40526294<NA>YN<NA>고용노동부(고용보험기획과 - 고용보험제도), 044-202-7352 고용노동부(고용지원실업급여과 - 실업급여), 044-202-7376 고용노동부(여성고용정책과 - 모성보호), 044-202-7476 고용노동부(고용지원실업급여과 - 피보험자 관리), 044-202-7380 고용노동부(인적자원개발과 - 사업주 및 근로자 직업능력개발 훈련지원), 044-202-7317 고용노동부(고용정책총괄과 - 고용촉진지원금, 고용유지지원금 등), 044-202-7218고용보험시스템
363362351078238[서식 8의11] 기계식주차장 정기검사 연기신청서811110202서식/LSW/flDownload.do?flSeq=106881585/LSW/flDownload.do?flSeq=106881587/DRF/lawService.do?OC=true24&target=licbyl&ID=13639347&type=HTML&mobileYn=NN<NA><NA><NA>
290692334676191[서식 15] 착공신고필증1500110202서식/LSW/flDownload.do?flSeq=103882503/LSW/flDownload.do?flSeq=103882505/DRF/lawService.do?OC=true24&target=licbyl&ID=13217915&type=HTML&mobileYn=YN<NA>국토교통부(건축정책과), 044-201-3763(제도)4837(시스템)세움터 DB
373032416218306[서식 6] 개별공시지가 확인(신청)서600110202서식/LSW/flDownload.do?flSeq=114417105/LSW/flDownload.do?flSeq=114417107/DRF/lawService.do?OC=true24&target=licbyl&ID=14417697&type=HTML&mobileYn=NN<NA>국토교통부(부동산평가과-총괄), 044-201-3427<NA>
법령코드법령ID서식명서식번호서식종류코드서식종류명HWP파일링크PDF파일링크서식링크DB구축여부제공여부비고출처정보구축DB명
39424818914263[서식 4] 적극행정면책 건의서400110202서식/LSW/flDownload.do?flSeq=125350489/LSW/flDownload.do?flSeq=125350491/DRF/lawService.do?OC=true24&target=licbyl&ID=15282687&type=HTML&mobileYn=NN<NA><NA><NA>
3992222237910019[서식 45의14] 철도보안검색장비 성능시험 결과서4514110202서식/LSW/flDownload.do?flSeq=78952617/LSW/flDownload.do?flSeq=78952621/DRF/lawService.do?OC=waytogod&target=licbyl&ID=10265481&type=HTML&mobileYn=NN<NA><NA><NA>
11202089637079[서식 88] 운전금지통지서8800110202서식/LSW/flDownload.do?flSeq=42978435/LSW/flDownload.do?flSeq=42978437<NA>NN<NA><NA><NA>
94942287837364[서식 56] 등록증5600110202서식/LSW/flDownload.do?flSeq=94478001/LSW/flDownload.do?flSeq=94478005/DRF/lawService.do?OC=waytogod&target=licbyl&ID=12321799&type=HTML&mobileYn=NN<NA><NA><NA>
4025023512710019[서식 47] 철도안전 전문인력 자격증명서4700110202서식/LSW/flDownload.do?flSeq=106883857/LSW/flDownload.do?flSeq=106883859/DRF/lawService.do?OC=true24&target=licbyl&ID=13639929&type=HTML&mobileYn=NN<NA><NA><NA>
381682401398740[서식 22] 화물자동차행정처분기록카드2200110202서식/LSW/flDownload.do?flSeq=112561977/LSW/flDownload.do?flSeq=112561979/DRF/lawService.do?OC=true24&target=licbyl&ID=14226227&type=HTML&mobileYn=NN<NA><NA><NA>
1910322965710027[서식 2] 특수임무유공자 요건 관련 사실 확인서(1)200110202서식/LSW/flDownload.do?flSeq=96005267/LSW/flDownload.do?flSeq=96005269/DRF/lawService.do?OC=waytogod&target=licbyl&ID=12442575&type=HTML&mobileYn=NN<NA><NA><NA>
256692403057248[서식 31의3] 승선근무예비역 편입 신청서3103110202서식/LSW/flDownload.do?flSeq=112814543/LSW/flDownload.do?flSeq=112814545/DRF/lawService.do?OC=true24&target=licbyl&ID=14243793&type=HTML&mobileYn=NN<NA><NA><NA>
361042375637934[서식 17의2] 폐차의뢰서1702110202서식/LSW/flDownload.do?flSeq=110522847/LSW/flDownload.do?flSeq=110522849/DRF/lawService.do?OC=true24&target=licbyl&ID=14086071&type=HTML&mobileYn=NN<NA><NA><NA>
237592079547248[서식 4] 병적증명서 접수 및 발급 대장, 병역증(전역증) 재발급 신청서 접수 및 발급대장400110202서식/LSW/flDownload.do?flSeq=40858837/LSW/flDownload.do?flSeq=40858839<NA>NN<NA><NA><NA>