Overview

Dataset statistics

Number of variables9
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory820.3 KiB
Average record size in memory84.0 B

Variable types

Numeric4
Text2
Categorical1
Boolean1
DateTime1

Dataset

Description한국환경산업기술원 대표 홈페이지 시스템 게시판 콘텐츠 데이터(파일이름, 파일번호, 파일크기 등) 2023년도 정보 입니다.
URLhttps://www.data.go.kr/data/15120561/fileData.do

Alerts

게시물번호 is highly overall correlated with 파일번호High correlation
파일번호 is highly overall correlated with 게시물번호High correlation
파일확장자 is highly imbalanced (55.5%)Imbalance
사용여부 is highly imbalanced (56.9%)Imbalance

Reproduction

Analysis started2023-12-12 22:03:18.273338
Analysis finished2023-12-12 22:03:21.996247
Duration3.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

게시물번호
Real number (ℝ)

HIGH CORRELATION 

Distinct7174
Distinct (%)71.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21800.751
Minimum126
Maximum36115
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T07:03:22.086172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126
5-th percentile877.9
Q18955.75
median26396
Q331988
95-th percentile35383.15
Maximum36115
Range35989
Interquartile range (IQR)23032.25

Descriptive statistics

Standard deviation12199.476
Coefficient of variation (CV)0.5595897
Kurtosis-1.198472
Mean21800.751
Median Absolute Deviation (MAD)6706
Skewness-0.62541605
Sum2.1800751 × 108
Variance1.4882721 × 108
MonotonicityNot monotonic
2023-12-13T07:03:22.262975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34099 26
 
0.3%
34937 18
 
0.2%
34792 14
 
0.1%
35493 13
 
0.1%
23887 13
 
0.1%
34095 11
 
0.1%
33816 10
 
0.1%
24476 10
 
0.1%
26844 9
 
0.1%
30581 9
 
0.1%
Other values (7164) 9867
98.7%
ValueCountFrequency (%)
126 1
< 0.1%
127 1
< 0.1%
139 1
< 0.1%
145 1
< 0.1%
150 1
< 0.1%
152 1
< 0.1%
154 1
< 0.1%
157 1
< 0.1%
161 1
< 0.1%
164 1
< 0.1%
ValueCountFrequency (%)
36115 2
< 0.1%
36114 1
 
< 0.1%
36112 2
< 0.1%
36108 1
 
< 0.1%
36106 2
< 0.1%
36103 1
 
< 0.1%
36100 1
 
< 0.1%
36098 4
< 0.1%
36092 2
< 0.1%
36088 1
 
< 0.1%

게시판번호
Real number (ℝ)

Distinct38
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean286.5874
Minimum235
Maximum377
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T07:03:22.434934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum235
5-th percentile235
Q1277
median277
Q3319
95-th percentile333
Maximum377
Range142
Interquartile range (IQR)42

Descriptive statistics

Standard deviation31.70472
Coefficient of variation (CV)0.11062845
Kurtosis-0.61350408
Mean286.5874
Median Absolute Deviation (MAD)3
Skewness0.22495286
Sum2865874
Variance1005.1893
MonotonicityNot monotonic
2023-12-13T07:03:22.611205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
277 4810
48.1%
237 782
 
7.8%
235 699
 
7.0%
325 540
 
5.4%
328 489
 
4.9%
318 463
 
4.6%
326 375
 
3.8%
321 343
 
3.4%
278 181
 
1.8%
274 151
 
1.5%
Other values (28) 1167
 
11.7%
ValueCountFrequency (%)
235 699
 
7.0%
237 782
 
7.8%
257 119
 
1.2%
263 35
 
0.4%
274 151
 
1.5%
275 5
 
0.1%
277 4810
48.1%
278 181
 
1.8%
280 6
 
0.1%
281 46
 
0.5%
ValueCountFrequency (%)
377 1
 
< 0.1%
374 7
 
0.1%
364 14
 
0.1%
363 11
 
0.1%
361 5
 
0.1%
358 2
 
< 0.1%
357 8
 
0.1%
356 73
0.7%
355 149
1.5%
354 1
 
< 0.1%

파일번호
Real number (ℝ)

HIGH CORRELATION 

Distinct3530
Distinct (%)35.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1087.4756
Minimum1
Maximum6529
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T07:03:22.784477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median169
Q31131.25
95-th percentile5432.25
Maximum6529
Range6528
Interquartile range (IQR)1129.25

Descriptive statistics

Standard deviation1758.089
Coefficient of variation (CV)1.6166699
Kurtosis1.651168
Mean1087.4756
Median Absolute Deviation (MAD)168
Skewness1.7141122
Sum10874756
Variance3090877
MonotonicityNot monotonic
2023-12-13T07:03:22.938314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1953
 
19.5%
2 888
 
8.9%
3 484
 
4.8%
4 202
 
2.0%
5 128
 
1.3%
6 78
 
0.8%
7 66
 
0.7%
8 58
 
0.6%
9 37
 
0.4%
10 32
 
0.3%
Other values (3520) 6074
60.7%
ValueCountFrequency (%)
1 1953
19.5%
2 888
8.9%
3 484
 
4.8%
4 202
 
2.0%
5 128
 
1.3%
6 78
 
0.8%
7 66
 
0.7%
8 58
 
0.6%
9 37
 
0.4%
10 32
 
0.3%
ValueCountFrequency (%)
6529 1
< 0.1%
6528 1
< 0.1%
6527 1
< 0.1%
6526 1
< 0.1%
6523 1
< 0.1%
6521 1
< 0.1%
6520 1
< 0.1%
6517 2
< 0.1%
6511 1
< 0.1%
6510 1
< 0.1%

파일경로
Text

Distinct72
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T07:03:23.178624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length37
Mean length15.074
Min length1

Characters and Unicode

Total characters150740
Distinct characters57
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

Unique4 ?
Unique (%)< 0.1%

Sample

1st row/app/src/web/M6/keiti2014/upload/
2nd row/upload/
3rd row/upload/board/277/
4th row/upload/board/237/
5th row/upload/
ValueCountFrequency (%)
upload 2777
27.8%
upload/board/277 1921
19.2%
upload/notice 820
 
8.2%
upload/data/notice 682
 
6.8%
upload/board/318 356
 
3.6%
upload/board/235 276
 
2.8%
upload/prdata 245
 
2.5%
upload/board/237 208
 
2.1%
upload/pds 189
 
1.9%
upload/gallary 179
 
1.8%
Other values (61) 2347
23.5%
2023-12-13T07:03:23.840492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 32821
21.8%
a 16513
11.0%
d 15238
10.1%
o 14734
9.8%
p 10839
 
7.2%
l 10252
 
6.8%
u 10019
 
6.6%
r 4508
 
3.0%
7 4479
 
3.0%
b 4169
 
2.8%
Other values (47) 27168
18.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 93408
62.0%
Other Punctuation 32829
 
21.8%
Decimal Number 13082
 
8.7%
Uppercase Letter 11027
 
7.3%
Connector Punctuation 394
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 16513
17.7%
d 15238
16.3%
o 14734
15.8%
p 10839
11.6%
l 10252
11.0%
u 10019
10.7%
r 4508
 
4.8%
b 4169
 
4.5%
t 1971
 
2.1%
e 1233
 
1.3%
Other values (12) 3932
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
O 1312
11.9%
N 1115
10.1%
I 1084
9.8%
C 1030
9.3%
E 1023
9.3%
T 939
8.5%
A 726
 
6.6%
L 703
 
6.4%
R 631
 
5.7%
G 504
 
4.6%
Other values (11) 1960
17.8%
Decimal Number
ValueCountFrequency (%)
7 4479
34.2%
2 3158
24.1%
3 1989
15.2%
1 925
 
7.1%
5 923
 
7.1%
8 545
 
4.2%
6 394
 
3.0%
4 381
 
2.9%
0 256
 
2.0%
9 32
 
0.2%
Other Punctuation
ValueCountFrequency (%)
/ 32821
> 99.9%
\ 6
 
< 0.1%
: 2
 
< 0.1%
Connector Punctuation
ValueCountFrequency (%)
_ 394
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 104435
69.3%
Common 46305
30.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 16513
15.8%
d 15238
14.6%
o 14734
14.1%
p 10839
10.4%
l 10252
9.8%
u 10019
9.6%
r 4508
 
4.3%
b 4169
 
4.0%
t 1971
 
1.9%
O 1312
 
1.3%
Other values (33) 14880
14.2%
Common
ValueCountFrequency (%)
/ 32821
70.9%
7 4479
 
9.7%
2 3158
 
6.8%
3 1989
 
4.3%
1 925
 
2.0%
5 923
 
2.0%
8 545
 
1.2%
_ 394
 
0.9%
6 394
 
0.9%
4 381
 
0.8%
Other values (4) 296
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 150740
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 32821
21.8%
a 16513
11.0%
d 15238
10.1%
o 14734
9.8%
p 10839
 
7.2%
l 10252
 
6.8%
u 10019
 
6.6%
r 4508
 
3.0%
7 4479
 
3.0%
b 4169
 
2.8%
Other values (47) 27168
18.0%

원본파일이름
Text

Distinct8141
Distinct (%)81.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T07:03:24.126030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length148
Median length70
Mean length25.5008
Min length5

Characters and Unicode

Total characters255008
Distinct characters850
Distinct categories17 ?
Distinct scripts5 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7340 ?
Unique (%)73.4%

Sample

1st row_DSC5770.JPG
2nd row[붙임1] '17년 2차 환경책임보험 중소기업 지원사업 신청안내 공고문.hwp
3rd row붙임3_이해관계인_의견서.hwp
4th row사진2.jpg
5th row2015년도_중소기업_해외마케팅_지원사업_공고.hwp
ValueCountFrequency (%)
및 450
 
2.1%
공고 391
 
1.9%
붙임 193
 
0.9%
붙임1 119
 
0.6%
붙임2 113
 
0.5%
이해관계인의견서(2011.10.27).hwp 99
 
0.5%
보도자료 96
 
0.5%
공고문.hwp 80
 
0.4%
보도자료).hwp 78
 
0.4%
1 78
 
0.4%
Other values (11058) 19311
91.9%
2023-12-13T07:03:24.614730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
_ 16640
 
6.5%
. 12752
 
5.0%
11025
 
4.3%
1 9620
 
3.8%
p 9442
 
3.7%
2 8945
 
3.5%
0 7622
 
3.0%
h 5080
 
2.0%
w 4904
 
1.9%
) 4026
 
1.6%
Other values (840) 164952
64.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 118485
46.5%
Decimal Number 40430
 
15.9%
Lowercase Letter 36043
 
14.1%
Connector Punctuation 16640
 
6.5%
Other Punctuation 14269
 
5.6%
Space Separator 11025
 
4.3%
Uppercase Letter 5177
 
2.0%
Close Punctuation 4923
 
1.9%
Open Punctuation 4899
 
1.9%
Dash Punctuation 2625
 
1.0%
Other values (7) 492
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 3397
 
2.9%
서 3239
 
2.7%
임 2860
 
2.4%
업 2854
 
2.4%
고 2794
 
2.4%
붙 2774
 
2.3%
사 2618
 
2.2%
공 2548
 
2.2%
제 2540
 
2.1%
경 2446
 
2.1%
Other values (737) 90415
76.3%
Lowercase Letter
ValueCountFrequency (%)
p 9442
26.2%
h 5080
14.1%
w 4904
13.6%
g 2437
 
6.8%
d 2236
 
6.2%
f 2136
 
5.9%
j 1774
 
4.9%
e 997
 
2.8%
n 962
 
2.7%
i 749
 
2.1%
Other values (16) 5326
14.8%
Uppercase Letter
ValueCountFrequency (%)
G 799
15.4%
P 622
12.0%
I 477
 
9.2%
J 423
 
8.2%
M 355
 
6.9%
S 283
 
5.5%
E 279
 
5.4%
D 268
 
5.2%
C 248
 
4.8%
F 192
 
3.7%
Other values (16) 1231
23.8%
Other Punctuation
ValueCountFrequency (%)
. 12752
89.4%
? 678
 
4.8%
, 252
 
1.8%
· 230
 
1.6%
' 210
 
1.5%
& 84
 
0.6%
% 14
 
0.1%
… 12
 
0.1%
@ 10
 
0.1%
; 10
 
0.1%
Other values (3) 17
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 9620
23.8%
2 8945
22.1%
0 7622
18.9%
3 2928
 
7.2%
4 2211
 
5.5%
5 2019
 
5.0%
6 1856
 
4.6%
7 1765
 
4.4%
9 1750
 
4.3%
8 1714
 
4.2%
Close Punctuation
ValueCountFrequency (%)
) 4026
81.8%
] 857
 
17.4%
」 38
 
0.8%
』 2
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 4003
81.7%
[ 857
 
17.5%
「 37
 
0.8%
『 2
 
< 0.1%
Other Number
ValueCountFrequency (%)
③ 2
40.0%
① 1
20.0%
⑤ 1
20.0%
② 1
20.0%
Modifier Symbol
ValueCountFrequency (%)
¸ 6
54.5%
´ 3
27.3%
` 2
 
18.2%
Math Symbol
ValueCountFrequency (%)
+ 335
91.5%
~ 31
 
8.5%
Final Punctuation
ValueCountFrequency (%)
’ 41
80.4%
” 10
 
19.6%
Initial Punctuation
ValueCountFrequency (%)
‘ 31
70.5%
“ 13
29.5%
Other Symbol
ValueCountFrequency (%)
★ 11
91.7%
☆ 1
 
8.3%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 16640
100.0%
Space Separator
ValueCountFrequency (%)
11025
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2625
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 118446
46.4%
Common 95300
37.4%
Latin 41223
 
16.2%
Han 35
 
< 0.1%
Katakana 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 3397
 
2.9%
서 3239
 
2.7%
임 2860
 
2.4%
업 2854
 
2.4%
고 2794
 
2.4%
붙 2774
 
2.3%
사 2618
 
2.2%
공 2548
 
2.2%
제 2540
 
2.1%
경 2446
 
2.1%
Other values (718) 90376
76.3%
Latin
ValueCountFrequency (%)
p 9442
22.9%
h 5080
12.3%
w 4904
11.9%
g 2437
 
5.9%
d 2236
 
5.4%
f 2136
 
5.2%
j 1774
 
4.3%
e 997
 
2.4%
n 962
 
2.3%
G 799
 
1.9%
Other values (44) 10456
25.4%
Common
ValueCountFrequency (%)
_ 16640
17.5%
. 12752
13.4%
11025
11.6%
1 9620
10.1%
2 8945
9.4%
0 7622
8.0%
) 4026
 
4.2%
( 4003
 
4.2%
3 2928
 
3.1%
- 2625
 
2.8%
Other values (39) 15114
15.9%
Han
ValueCountFrequency (%)
質 4
11.4%
前 4
11.4%
賞 3
 
8.6%
大 3
 
8.6%
月 2
 
5.7%
截 2
 
5.7%
圖 2
 
5.7%
殺 2
 
5.7%
疑 2
 
5.7%
部 2
 
5.7%
Other values (5) 9
25.7%
Katakana
ValueCountFrequency (%)
カ 1
25.0%
タ 1
25.0%
ロ 1
25.0%
グ 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 136077
53.4%
Hangul 118428
46.4%
None 319
 
0.1%
Punctuation 107
 
< 0.1%
CJK 35
 
< 0.1%
Compat Jamo 18
 
< 0.1%
Misc Symbols 12
 
< 0.1%
Enclosed Alphanum 5
 
< 0.1%
Katakana 4
 
< 0.1%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
_ 16640
 
12.2%
. 12752
 
9.4%
11025
 
8.1%
1 9620
 
7.1%
p 9442
 
6.9%
2 8945
 
6.6%
0 7622
 
5.6%
h 5080
 
3.7%
w 4904
 
3.6%
) 4026
 
3.0%
Other values (72) 46021
33.8%
Hangul
ValueCountFrequency (%)
기 3397
 
2.9%
서 3239
 
2.7%
임 2860
 
2.4%
업 2854
 
2.4%
고 2794
 
2.4%
붙 2774
 
2.3%
사 2618
 
2.2%
공 2548
 
2.2%
제 2540
 
2.1%
경 2446
 
2.1%
Other values (716) 90358
76.3%
None
ValueCountFrequency (%)
· 230
72.1%
」 38
 
11.9%
「 37
 
11.6%
¸ 6
 
1.9%
´ 3
 
0.9%
』 2
 
0.6%
『 2
 
0.6%
＆ 1
 
0.3%
Punctuation
ValueCountFrequency (%)
’ 41
38.3%
‘ 31
29.0%
“ 13
 
12.1%
… 12
 
11.2%
” 10
 
9.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 17
94.4%
ㅁ 1
 
5.6%
Misc Symbols
ValueCountFrequency (%)
★ 11
91.7%
☆ 1
 
8.3%
CJK
ValueCountFrequency (%)
質 4
11.4%
前 4
11.4%
賞 3
 
8.6%
大 3
 
8.6%
月 2
 
5.7%
截 2
 
5.7%
圖 2
 
5.7%
殺 2
 
5.7%
疑 2
 
5.7%
部 2
 
5.7%
Other values (5) 9
25.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%
Enclosed Alphanum
ValueCountFrequency (%)
③ 2
40.0%
① 1
20.0%
⑤ 1
20.0%
② 1
20.0%
Katakana
ValueCountFrequency (%)
カ 1
25.0%
タ 1
25.0%
ロ 1
25.0%
グ 1
25.0%

파일확장자
Categorical

IMBALANCE 

Distinct33
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
hwp
4835 
pdf
1945 
jpg
1844 
png
 
421
zip
 
279
Other values (28)
676 

Length

Max length4
Median length3
Mean length3.0108
Min length3

Unique

Unique5 ?
Unique (%)< 0.1%

Sample

1st rowJPG
2nd rowhwp
3rd rowhwp
4th rowjpg
5th rowhwp

Common Values

ValueCountFrequency (%)
hwp 4835
48.4%
pdf 1945
19.4%
jpg 1844
 
18.4%
png 421
 
4.2%
zip 279
 
2.8%
JPG 244
 
2.4%
lsx 75
 
0.8%
xls 69
 
0.7%
jpeg 65
 
0.7%
txt 27
 
0.3%
Other values (23) 196
 
2.0%

Length

2023-12-13T07:03:24.742742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
hwp 4835
48.4%
jpg 2088
20.9%
pdf 1947
19.5%
png 436
 
4.4%
zip 279
 
2.8%
lsx 75
 
0.8%
xls 69
 
0.7%
jpeg 65
 
0.7%
txt 27
 
0.3%
bmp 23
 
0.2%
Other values (20) 156
 
1.6%

파일크기
Real number (ℝ)

Distinct6011
Distinct (%)60.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1865688.7
Minimum3
Maximum2.812436 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T07:03:24.867547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile15360
Q156140.75
median178931.5
Q3858796.5
95-th percentile7314709.4
Maximum2.812436 × 108
Range2.812436 × 108
Interquartile range (IQR)802655.75

Descriptive statistics

Standard deviation7524190.5
Coefficient of variation (CV)4.0329292
Kurtosis343.60333
Mean1865688.7
Median Absolute Deviation (MAD)156403.5
Skewness13.897992
Sum1.8656887 × 1010
Variance5.6613442 × 1013
MonotonicityNot monotonic
2023-12-13T07:03:25.011604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14336 120
 
1.2%
15872 118
 
1.2%
14848 117
 
1.2%
46080 116
 
1.2%
32768 97
 
1.0%
15360 86
 
0.9%
31744 67
 
0.7%
27136 64
 
0.6%
65536 52
 
0.5%
16384 50
 
0.5%
Other values (6001) 9113
91.1%
ValueCountFrequency (%)
3 1
 
< 0.1%
4 13
0.1%
382 1
 
< 0.1%
500 15
0.1%
505 1
 
< 0.1%
947 1
 
< 0.1%
2394 1
 
< 0.1%
5732 1
 
< 0.1%
5768 1
 
< 0.1%
6177 2
 
< 0.1%
ValueCountFrequency (%)
281243600 1
< 0.1%
237396749 1
< 0.1%
143925411 1
< 0.1%
113683630 1
< 0.1%
112285809 1
< 0.1%
105955553 1
< 0.1%
102629888 1
< 0.1%
92635497 1
< 0.1%
87379007 1
< 0.1%
86443190 1
< 0.1%

사용여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
9117 
False
 
883
ValueCountFrequency (%)
True 9117
91.2%
False 883
 
8.8%
2023-12-13T07:03:25.125885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

등록일
Date

Distinct956
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-12-17 00:00:00
Maximum2023-08-18 00:00:00
2023-12-13T07:03:25.245929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:25.441514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-13T07:03:21.194480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:19.785195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:20.275182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:20.749077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:21.306913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:19.886389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:20.410286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:20.877410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:21.408970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:20.027688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:20.536932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:20.989523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:21.503427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:20.146676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:20.641833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:21.092885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:03:25.611712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
게시물번호게시판번호파일번호파일경로파일확장자파일크기사용여부
게시물번호1.0000.4020.6540.9360.5310.0800.477
게시판번호0.4021.0000.4410.9910.6790.0910.242
파일번호0.6540.4411.0000.7530.4080.0000.277
파일경로0.9360.9910.7531.0000.8330.2680.566
파일확장자0.5310.6790.4080.8331.0000.3460.252
파일크기0.0800.0910.0000.2680.3461.0000.089
사용여부0.4770.2420.2770.5660.2520.0891.000
2023-12-13T07:03:25.818686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사용여부파일확장자
사용여부1.0000.213
파일확장자0.2131.000
2023-12-13T07:03:25.907840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
게시물번호게시판번호파일번호파일크기파일확장자사용여부
게시물번호1.0000.074-0.6460.0380.2360.359
게시판번호0.0741.000-0.1030.0950.3300.239
파일번호-0.646-0.1031.000-0.1460.1560.212
파일크기0.0380.095-0.1461.0000.1410.067
파일확장자0.2360.3300.1560.1411.0000.213
사용여부0.3590.2390.2120.0670.2131.000

Missing values

2023-12-13T07:03:21.722636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:03:21.921408image/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

게시물번호게시판번호파일번호파일경로원본파일이름파일확장자파일크기사용여부등록일
933724146328234/app/src/web/M6/keiti2014/upload/_DSC5770.JPGJPG4423680Y2019-02-07
12111269612775647/upload/[붙임1] '17년 2차 환경책임보험 중소기업 지원사업 신청안내 공고문.hwphwp15872Y2019-01-24
17846324552773/upload/board/277/붙임3_이해관계인_의견서.hwphwp14848Y2020-12-29
14250290402373/upload/board/237/사진2.jpgjpg1511843Y2019-03-20
68221029126322/upload/2015년도_중소기업_해외마케팅_지원사업_공고.hwphwp49152Y2018-12-17
569557277476/upload/data/notice/2.추진확약서 및 서약서.hwphwp26112Y2019-01-24
18723330262771/upload/board/277/(붙임)2021년도_체험형_청년인턴_채용_공고.pdfpdf312986Y2021-05-27
9130239273174/upload/[한국환경산업기술원] 사업실명제 선정기준 및 리스트.pdfpdf139978Y2018-12-17
9925247182774617/upload/보장계약 현황조사표.xlsxlsx835453Y2019-01-24
6891103382773035/upload/NOTICE/공고 제2014-124호 1242인.hwphwp14848Y2019-01-24
게시물번호게시판번호파일번호파일경로원본파일이름파일확장자파일크기사용여부등록일
993024724325753/upload/붙임2_불량불법제품+신고.hwphwp54272Y2019-01-24
13287280492776239/upload/붙임3_이해관계인의견서.hwphwp46080Y2019-01-24
11023259282775135/upload/붙임3_이해관계인의견서.hwphwp31744Y2019-01-24
20041341732774/upload/board/277/붙임1_신기술인증·기술검증_신청_공고문(제2022-04호,_1791인).hwphwp15872Y2022-01-10
1076025618325864/upload/자이노 신고자료.vol14.eggegg5242880Y2019-01-24
336242222771171/upload/NOTICE/태산.hwphwp10752Y2019-01-24
15673305613312/upload/board/331/2.jpgjpg185243Y2020-01-13
11477263822775361/upload/(제안서 평가결과) 2017년도 환경인증 관련 정보시스템 개선 및 유지관리.hwphwp23552Y2019-01-24
67471020727825/upload/제10회_임시이사회.hwphwp2350592Y2019-01-24
2887231227830/upload/qna/붙임_차세대사업 09년 추진계획 공고 및 사업안내서(최종).hwphwp1068544Y2019-01-24