Overview

Dataset statistics

Number of variables6
Number of observations2084
Missing cells1171
Missing cells (%)9.4%
Duplicate rows17
Duplicate rows (%)0.8%
Total size in memory97.8 KiB
Average record size in memory48.1 B

Variable types

DateTime1
Text4
Categorical1

Dataset

Description가뭄과 관련된 기사 제목, 기사 보도 언론사 등 가뭄뉴스 정보항목정보 : 일자, 제목, 키워드, 매체, url정보 포함
Author한국수자원공사
URLhttps://www.data.go.kr/data/15049892/fileData.do

Alerts

Dataset has 17 (0.8%) duplicate rowsDuplicates
지역 has 1171 (56.2%) missing valuesMissing

Reproduction

Analysis started2024-03-14 10:02:50.853956
Analysis finished2024-03-14 10:02:52.371165
Duration1.52 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

게시일자
Date

Distinct1006
Distinct (%)48.3%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
Minimum2017-01-19 00:00:00
Maximum2024-02-28 00:00:00
2024-03-14T19:02:52.584990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:02:53.102347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

뉴스제목
Text

Distinct2028
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
2024-03-14T19:02:54.111863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length89
Median length64
Mean length32.528311
Min length7

Characters and Unicode

Total characters67789
Distinct characters930
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks14 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1985 ?
Unique (%)95.2%

Sample

1st row추자도ㆍ가파도 여전히 물부족…급수량 제주도 69% 불과
2nd row기후변화가 날조라고? 2016년 역사상 가장 더운 해...세계 기...
3rd row6개월간 강우량 평년 평균의 65%뿐…서산·태안·보령 최악 겨울가...
4th row"봄 농사 걱정 없어요"…경북 저수율 평년보다 높아
5th row겨울 가뭄 반복 정선군 "식수난 해소 집중 투자"
ValueCountFrequency (%)
656
 
4.1%
가뭄 491
 
3.1%
물 186
 
1.2%
공감언론 180
 
1.1%
저수율 125
 
0.8%
가뭄에 124
 
0.8%
공급 95
 
0.6%
부족 93
 
0.6%
피해 67
 
0.4%
농업용수 66
 
0.4%
Other values (6714) 13758
86.9%
2024-03-14T19:02:55.630356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13852
 
20.4%
. 2314
 
3.4%
수 1431
 
2.1%
가 1360
 
2.0%
뭄 1080
 
1.6%
: 973
 
1.4%
지 824
 
1.2%
, 723
 
1.1%
기 720
 
1.1%
공 673
 
1.0%
Other values (920) 43839
64.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 42928
63.3%
Space Separator 13852
 
20.4%
Other Punctuation 6096
 
9.0%
Decimal Number 2150
 
3.2%
Lowercase Letter 1809
 
2.7%
Uppercase Letter 210
 
0.3%
Open Punctuation 207
 
0.3%
Close Punctuation 197
 
0.3%
Initial Punctuation 87
 
0.1%
Final Punctuation 86
 
0.1%
Other values (5) 167
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 1431
 
3.3%
가 1360
 
3.2%
뭄 1080
 
2.5%
지 824
 
1.9%
기 720
 
1.7%
공 673
 
1.6%
대 639
 
1.5%
도 638
 
1.5%
에 632
 
1.5%
부 578
 
1.3%
Other values (817) 34353
80.0%
Uppercase Letter
ValueCountFrequency (%)
S 21
 
10.0%
T 19
 
9.0%
C 18
 
8.6%
P 16
 
7.6%
N 15
 
7.1%
I 14
 
6.7%
K 13
 
6.2%
O 11
 
5.2%
B 10
 
4.8%
A 9
 
4.3%
Other values (14) 64
30.5%
Lowercase Letter
ValueCountFrequency (%)
o 223
12.3%
l 190
10.5%
p 166
9.2%
u 160
8.8%
q 158
8.7%
t 145
8.0%
i 115
 
6.4%
d 110
 
6.1%
m 109
 
6.0%
a 104
 
5.7%
Other values (12) 329
18.2%
Other Punctuation
ValueCountFrequency (%)
. 2314
38.0%
: 973
16.0%
, 723
 
11.9%
; 407
 
6.7%
… 388
 
6.4%
& 349
 
5.7%
' 321
 
5.3%
" 214
 
3.5%
· 164
 
2.7%
% 141
 
2.3%
Other values (8) 102
 
1.7%
Decimal Number
ValueCountFrequency (%)
0 421
19.6%
1 338
15.7%
2 293
13.6%
3 225
10.5%
5 188
8.7%
4 160
 
7.4%
6 138
 
6.4%
9 137
 
6.4%
7 133
 
6.2%
8 117
 
5.4%
Other Symbol
ValueCountFrequency (%)
㎜ 50
62.5%
㏊ 10
 
12.5%
℃ 8
 
10.0%
㎝ 5
 
6.2%
㎏ 3
 
3.8%
★ 2
 
2.5%
㎞ 1
 
1.2%
㎥ 1
 
1.2%
Math Symbol
ValueCountFrequency (%)
~ 20
45.5%
→ 6
 
13.6%
∼ 6
 
13.6%
↑ 4
 
9.1%
| 3
 
6.8%
↓ 3
 
6.8%
+ 2
 
4.5%
Other Number
ValueCountFrequency (%)
₂ 2
50.0%
⑧ 1
25.0%
⅓ 1
25.0%
Open Punctuation
ValueCountFrequency (%)
[ 143
69.1%
( 64
30.9%
Close Punctuation
ValueCountFrequency (%)
] 139
70.6%
) 58
29.4%
Final Punctuation
ValueCountFrequency (%)
’ 51
59.3%
” 35
40.7%
Initial Punctuation
ValueCountFrequency (%)
‘ 51
58.6%
“ 36
41.4%
Space Separator
ValueCountFrequency (%)
13852
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 42856
63.2%
Common 22847
33.7%
Latin 2014
 
3.0%
Han 72
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 1431
 
3.3%
가 1360
 
3.2%
뭄 1080
 
2.5%
지 824
 
1.9%
기 720
 
1.7%
공 673
 
1.6%
대 639
 
1.5%
도 638
 
1.5%
에 632
 
1.5%
부 578
 
1.3%
Other values (793) 34281
80.0%
Common
ValueCountFrequency (%)
13852
60.6%
. 2314
 
10.1%
: 973
 
4.3%
, 723
 
3.2%
0 421
 
1.8%
; 407
 
1.8%
… 388
 
1.7%
& 349
 
1.5%
1 338
 
1.5%
' 321
 
1.4%
Other values (48) 2761
 
12.1%
Latin
ValueCountFrequency (%)
o 223
11.1%
l 190
 
9.4%
p 166
 
8.2%
u 160
 
7.9%
q 158
 
7.8%
t 145
 
7.2%
i 115
 
5.7%
d 110
 
5.5%
m 109
 
5.4%
a 104
 
5.2%
Other values (35) 534
26.5%
Han
ValueCountFrequency (%)
美 29
40.3%
北 8
 
11.1%
韓 3
 
4.2%
中 3
 
4.2%
比 3
 
4.2%
尹 3
 
4.2%
文 3
 
4.2%
水 2
 
2.8%
心 2
 
2.8%
農 2
 
2.8%
Other values (14) 14
19.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 42853
63.2%
ASCII 24008
35.4%
Punctuation 571
 
0.8%
None 176
 
0.3%
CJK 71
 
0.1%
CJK Compat 70
 
0.1%
Letterlike Symbols 13
 
< 0.1%
Arrows 13
 
< 0.1%
Math Operators 6
 
< 0.1%
Compat Jamo 3
 
< 0.1%
Other values (4) 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13852
57.7%
. 2314
 
9.6%
: 973
 
4.1%
, 723
 
3.0%
0 421
 
1.8%
; 407
 
1.7%
& 349
 
1.5%
1 338
 
1.4%
' 321
 
1.3%
2 293
 
1.2%
Other values (66) 4017
 
16.7%
Hangul
ValueCountFrequency (%)
수 1431
 
3.3%
가 1360
 
3.2%
뭄 1080
 
2.5%
지 824
 
1.9%
기 720
 
1.7%
공 673
 
1.6%
대 639
 
1.5%
도 638
 
1.5%
에 632
 
1.5%
부 578
 
1.3%
Other values (791) 34278
80.0%
Punctuation
ValueCountFrequency (%)
… 388
68.0%
’ 51
 
8.9%
‘ 51
 
8.9%
“ 36
 
6.3%
” 35
 
6.1%
‥ 8
 
1.4%
′ 2
 
0.4%
None
ValueCountFrequency (%)
· 164
93.2%
％ 6
 
3.4%
₂ 2
 
1.1%
？ 2
 
1.1%
ｍ 2
 
1.1%
CJK Compat
ValueCountFrequency (%)
㎜ 50
71.4%
㏊ 10
 
14.3%
㎝ 5
 
7.1%
㎏ 3
 
4.3%
㎞ 1
 
1.4%
㎥ 1
 
1.4%
CJK
ValueCountFrequency (%)
美 29
40.8%
北 8
 
11.3%
韓 3
 
4.2%
中 3
 
4.2%
比 3
 
4.2%
尹 3
 
4.2%
文 3
 
4.2%
水 2
 
2.8%
心 2
 
2.8%
農 2
 
2.8%
Other values (13) 13
18.3%
Letterlike Symbols
ValueCountFrequency (%)
℃ 8
61.5%
ℓ 5
38.5%
Arrows
ValueCountFrequency (%)
→ 6
46.2%
↑ 4
30.8%
↓ 3
23.1%
Math Operators
ValueCountFrequency (%)
∼ 6
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
66.7%
ㅣ 1
33.3%
Misc Symbols
ValueCountFrequency (%)
★ 2
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
⑧ 1
100.0%
Number Forms
ValueCountFrequency (%)
⅓ 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
李 1
100.0%

키워드
Categorical

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
가뭄영향
1267 
가뭄대비및해소
317 
기타
164 
가뭄대응
148 
가뭄발생
 
97

Length

Max length7
Median length4
Mean length4.4299424
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가뭄발생
2nd row가뭄영향
3rd row가뭄발생
4th row가뭄영향
5th row가뭄대비및해소

Common Values

ValueCountFrequency (%)
가뭄영향 1267
60.8%
가뭄대비및해소 317
 
15.2%
기타 164
 
7.9%
가뭄대응 148
 
7.1%
가뭄발생 97
 
4.7%
가뭄징조및예측 91
 
4.4%

Length

2024-03-14T19:02:56.061388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:02:56.421315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가뭄영향 1267
60.8%
가뭄대비및해소 317
 
15.2%
기타 164
 
7.9%
가뭄대응 148
 
7.1%
가뭄발생 97
 
4.7%
가뭄징조및예측 91
 
4.4%

뉴스매체
Text

Distinct69
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
2024-03-14T19:02:57.277491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length3.6660269
Min length3

Characters and Unicode

Total characters7640
Distinct characters110
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)1.3%

Sample

1st row연합뉴스
2nd row경향신문
3rd row중앙일보
4th row연합뉴스
5th row연합뉴스
ValueCountFrequency (%)
연합뉴스 797
38.2%
뉴시스 702
33.7%
중앙일보 89
 
4.3%
매일경제 88
 
4.2%
경향신문 83
 
4.0%
kbs 54
 
2.6%
중도일보 29
 
1.4%
ytn 20
 
1.0%
브릿지경제 18
 
0.9%
뉴스1 13
 
0.6%
Other values (59) 191
 
9.2%
2024-03-14T19:02:58.270018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 1539
20.1%
뉴 1532
20.1%
연 798
10.4%
합 798
10.4%
시 703
9.2%
일 287
 
3.8%
경 216
 
2.8%
보 194
 
2.5%
중 122
 
1.6%
제 119
 
1.6%
Other values (100) 1332
17.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7309
95.7%
Uppercase Letter 310
 
4.1%
Decimal Number 13
 
0.2%
Lowercase Letter 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 1539
21.1%
뉴 1532
21.0%
연 798
10.9%
합 798
10.9%
시 703
9.6%
일 287
 
3.9%
경 216
 
3.0%
보 194
 
2.7%
중 122
 
1.7%
제 119
 
1.6%
Other values (81) 1001
13.7%
Uppercase Letter
ValueCountFrequency (%)
B 80
25.8%
S 70
22.6%
K 55
17.7%
T 24
 
7.7%
N 23
 
7.4%
Y 20
 
6.5%
M 16
 
5.2%
C 14
 
4.5%
V 3
 
1.0%
O 2
 
0.6%
Other values (3) 3
 
1.0%
Lowercase Letter
ValueCountFrequency (%)
s 2
25.0%
e 2
25.0%
b 2
25.0%
p 1
12.5%
n 1
12.5%
Decimal Number
ValueCountFrequency (%)
1 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7309
95.7%
Latin 318
 
4.2%
Common 13
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 1539
21.1%
뉴 1532
21.0%
연 798
10.9%
합 798
10.9%
시 703
9.6%
일 287
 
3.9%
경 216
 
3.0%
보 194
 
2.7%
중 122
 
1.7%
제 119
 
1.6%
Other values (81) 1001
13.7%
Latin
ValueCountFrequency (%)
B 80
25.2%
S 70
22.0%
K 55
17.3%
T 24
 
7.5%
N 23
 
7.2%
Y 20
 
6.3%
M 16
 
5.0%
C 14
 
4.4%
V 3
 
0.9%
s 2
 
0.6%
Other values (8) 11
 
3.5%
Common
ValueCountFrequency (%)
1 13
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7309
95.7%
ASCII 331
 
4.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 1539
21.1%
뉴 1532
21.0%
연 798
10.9%
합 798
10.9%
시 703
9.6%
일 287
 
3.9%
경 216
 
3.0%
보 194
 
2.7%
중 122
 
1.7%
제 119
 
1.6%
Other values (81) 1001
13.7%
ASCII
ValueCountFrequency (%)
B 80
24.2%
S 70
21.1%
K 55
16.6%
T 24
 
7.3%
N 23
 
6.9%
Y 20
 
6.0%
M 16
 
4.8%
C 14
 
4.2%
1 13
 
3.9%
V 3
 
0.9%
Other values (9) 13
 
3.9%

뉴스주소(URL)
Text

Distinct1989
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
2024-03-14T19:02:59.099923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length324
Median length174
Mean length64.700576
Min length28

Characters and Unicode

Total characters134836
Distinct characters74
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1919 ?
Unique (%)92.1%

Sample

1st rowhttp://app.yonhapnews.co.kr/YNA/Basic/SNS/r.aspx?c=AKR20170119111600056&did=1195m
2nd rowhttp://news.khan.co.kr/kh_news/khan_art_view.html?artid=201701191733011&code=970100
3rd rowhttp://news.joins.com/article/olink/20740360
4th rowhttp://app.yonhapnews.co.kr/YNA/Basic/SNS/r.aspx?c=AKR20170125093000053&did=1195m
5th rowhttp://app.yonhapnews.co.kr/YNA/Basic/SNS/r.aspx?c=AKR20170202095000062&did=1195m
ValueCountFrequency (%)
http://www.newsis.com/view/?id=nisx20230612_0002335818&cid=10201&pid=10200 6
 
0.3%
http://www.newsis.com/view/?id=nisx20230202_0002178567&cid=10206&pid=10200 5
 
0.2%
http://www.newsis.com/view/?id=nisx20221213_0002120857&cid=10301&pid=10300 5
 
0.2%
http://www.newsis.com/view/?id=nisx20210315_0001370174&cid=10803&pid=14000 4
 
0.2%
http://yna.kr/akr20210705096000064?did=1195m 4
 
0.2%
http://www.newsis.com/view/?id=nisx20221201_0002107618&cid=10201&pid=10200 4
 
0.2%
http://www.newsis.com/view/?id=nisx20221130_0002106647&cid=10201&pid=10200 3
 
0.1%
http://yna.kr/akr20211009020800530?did=1195m 3
 
0.1%
http://www.newsis.com/view/?id=nisx20230318_0002231792&cid=10206&pid=10200 3
 
0.1%
http://yna.kr/akr20220408151800530?did=1195m 3
 
0.1%
Other values (1979) 2044
98.1%
2024-03-14T19:03:00.450038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 14266
 
10.6%
/ 8818
 
6.5%
1 8208
 
6.1%
2 6545
 
4.9%
w 5762
 
4.3%
. 5255
 
3.9%
t 4914
 
3.6%
p 4713
 
3.5%
i 4358
 
3.2%
s 3868
 
2.9%
Other values (64) 68129
50.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 55522
41.2%
Decimal Number 43202
32.0%
Other Punctuation 20129
 
14.9%
Uppercase Letter 11130
 
8.3%
Math Symbol 3840
 
2.8%
Connector Punctuation 1000
 
0.7%
Dash Punctuation 13
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 5762
 
10.4%
t 4914
 
8.9%
p 4713
 
8.5%
i 4358
 
7.8%
s 3868
 
7.0%
c 3611
 
6.5%
e 3591
 
6.5%
n 3393
 
6.1%
h 3083
 
5.6%
a 2927
 
5.3%
Other values (16) 15302
27.6%
Uppercase Letter
ValueCountFrequency (%)
I 2120
19.0%
N 1476
13.3%
S 1467
13.2%
D 1407
12.6%
A 1184
10.6%
R 881
7.9%
K 796
 
7.2%
X 714
 
6.4%
B 404
 
3.6%
Y 388
 
3.5%
Other values (16) 293
 
2.6%
Decimal Number
ValueCountFrequency (%)
0 14266
33.0%
1 8208
19.0%
2 6545
15.1%
9 2384
 
5.5%
5 2360
 
5.5%
3 2196
 
5.1%
8 2105
 
4.9%
6 1851
 
4.3%
7 1697
 
3.9%
4 1590
 
3.7%
Other Punctuation
ValueCountFrequency (%)
/ 8818
43.8%
. 5255
26.1%
: 2085
 
10.4%
& 2003
 
10.0%
? 1863
 
9.3%
; 74
 
0.4%
% 28
 
0.1%
# 3
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
= 3838
99.9%
+ 2
 
0.1%
Connector Punctuation
ValueCountFrequency (%)
_ 1000
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 68184
50.6%
Latin 66652
49.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 5762
 
8.6%
t 4914
 
7.4%
p 4713
 
7.1%
i 4358
 
6.5%
s 3868
 
5.8%
c 3611
 
5.4%
e 3591
 
5.4%
n 3393
 
5.1%
h 3083
 
4.6%
a 2927
 
4.4%
Other values (42) 26432
39.7%
Common
ValueCountFrequency (%)
0 14266
20.9%
/ 8818
12.9%
1 8208
12.0%
2 6545
9.6%
. 5255
 
7.7%
= 3838
 
5.6%
9 2384
 
3.5%
5 2360
 
3.5%
3 2196
 
3.2%
8 2105
 
3.1%
Other values (12) 12209
17.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 134836
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 14266
 
10.6%
/ 8818
 
6.5%
1 8208
 
6.1%
2 6545
 
4.9%
w 5762
 
4.3%
. 5255
 
3.9%
t 4914
 
3.6%
p 4713
 
3.5%
i 4358
 
3.2%
s 3868
 
2.9%
Other values (64) 68129
50.5%

지역
Text

MISSING 

Distinct160
Distinct (%)17.5%
Missing1171
Missing (%)56.2%
Memory size16.4 KiB
2024-03-14T19:03:01.380746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.1664841
Min length2

Characters and Unicode

Total characters2891
Distinct characters116
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)4.2%

Sample

1st row서귀포시
2nd row서산시
3rd row남해군
4th row고성군
5th row서산시
ValueCountFrequency (%)
완도군 65
 
7.1%
보령시 54
 
5.9%
제주시 28
 
3.1%
세종시 28
 
3.1%
서산시 24
 
2.6%
춘천시 22
 
2.4%
속초시 20
 
2.2%
안성시 18
 
2.0%
강릉시 16
 
1.8%
영등포구 16
 
1.8%
Other values (150) 622
68.1%
2024-03-14T19:03:02.832541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 458
 
15.8%
군 386
 
13.4%
구 144
 
5.0%
주 116
 
4.0%
도 83
 
2.9%
안 80
 
2.8%
성 73
 
2.5%
산 72
 
2.5%
완 69
 
2.4%
천 69
 
2.4%
Other values (106) 1341
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2891
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 458
 
15.8%
군 386
 
13.4%
구 144
 
5.0%
주 116
 
4.0%
도 83
 
2.9%
안 80
 
2.8%
성 73
 
2.5%
산 72
 
2.5%
완 69
 
2.4%
천 69
 
2.4%
Other values (106) 1341
46.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2891
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 458
 
15.8%
군 386
 
13.4%
구 144
 
5.0%
주 116
 
4.0%
도 83
 
2.9%
안 80
 
2.8%
성 73
 
2.5%
산 72
 
2.5%
완 69
 
2.4%
천 69
 
2.4%
Other values (106) 1341
46.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2891
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 458
 
15.8%
군 386
 
13.4%
구 144
 
5.0%
주 116
 
4.0%
도 83
 
2.9%
안 80
 
2.8%
성 73
 
2.5%
산 72
 
2.5%
완 69
 
2.4%
천 69
 
2.4%
Other values (106) 1341
46.4%

Correlations

2024-03-14T19:03:03.086929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
키워드뉴스매체
키워드1.0000.407
뉴스매체0.4071.000

Missing values

2024-03-14T19:02:51.864123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T19:02:52.224320image/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

게시일자뉴스제목키워드뉴스매체뉴스주소(URL)지역
02017-01-19추자도ㆍ가파도 여전히 물부족…급수량 제주도 69% 불과가뭄발생연합뉴스http://app.yonhapnews.co.kr/YNA/Basic/SNS/r.aspx?c=AKR20170119111600056&did=1195m서귀포시
12017-01-19기후변화가 날조라고? 2016년 역사상 가장 더운 해...세계 기...가뭄영향경향신문http://news.khan.co.kr/kh_news/khan_art_view.html?artid=201701191733011&code=970100<NA>
22017-01-206개월간 강우량 평년 평균의 65%뿐…서산·태안·보령 최악 겨울가...가뭄발생중앙일보http://news.joins.com/article/olink/20740360서산시
32017-01-25"봄 농사 걱정 없어요"…경북 저수율 평년보다 높아가뭄영향연합뉴스http://app.yonhapnews.co.kr/YNA/Basic/SNS/r.aspx?c=AKR20170125093000053&did=1195m<NA>
42017-02-02겨울 가뭄 반복 정선군 "식수난 해소 집중 투자"가뭄대비및해소연합뉴스http://app.yonhapnews.co.kr/YNA/Basic/SNS/r.aspx?c=AKR20170202095000062&did=1195m<NA>
52017-02-03:: 공감언론 뉴시스통신사 ::가뭄대비및해소뉴시스http://www.newsis.com/ar_detail/view.html?ar_id=NISX20160808_0014273662&cID=10812&pID=10800남해군
62017-02-03:: 공감언론 뉴시스통신사 ::가뭄영향뉴시스http://www.newsis.com/ar_detail/view.html?ar_id=NISX20160822_0014340074&cID=10812&pID=10800고성군
72017-02-03:: 공감언론 뉴시스통신사 ::가뭄영향뉴시스http://www.newsis.com/ar_detail/view.html?ar_id=NISX20160424_0014041936&cID=10807&pID=10800서산시
82017-02-04강원도, 봄 가뭄대비 저수지 안전점검·용수 확보 총력가뭄대응연합뉴스http://app.yonhapnews.co.kr/YNA/Basic/SNS/r.aspx?c=AKR20170203132100062&did=1195m<NA>
92017-02-05:: 공감언론 뉴시스통신사 ::가뭄대비및해소뉴시스http://www.newsis.com/ar_detail/view.html?ar_id=NISX20160909_0014378897&cID=10809&pID=10800<NA>
게시일자뉴스제목키워드뉴스매체뉴스주소(URL)지역
20742024-02-26첫 댐관리기본계획 수립…화천댐 물→반도체산단 공급안 담겨 | 연합뉴스가뭄대비및해소연합뉴스https://www.yna.co.kr/view/AKR20240224037800530?input=1195m<NA>
20752024-02-26화천댐 수도권용수공급처 전락 현실화가뭄대비및해소강원일보https://www.kwnews.co.kr/page/view/2024022514131191238용인시처인구
20762024-02-27지방소멸 극복의 실마리 용담댐 수변마을가뭄대비및해소전북도민일보https://www.domin.co.kr/news/articleView.html?idxno=1459486진안군
20772024-02-27광주·전남 평균 저수율 85.3%…'올봄 농업용수 공급 안정'가뭄대비및해소뉴스통https://www.newstong.co.kr/view3.aspx?seq=12471686&amp;amp;allSeq=3&amp;amp;txtSearch=&amp;amp;cate=0&amp;amp;cnt=-5&amp;amp;subCate=1&amp;amp;order=default&amp;amp;newsNo=52<NA>
20782024-02-27올해 농업용수 걱정 덜었다…전남지역 저수지 저수율 85.3%가뭄대비및해소뉴스1https://m.news1.kr/articles/?5333069&amp;amp;20#_enliple<NA>
20792024-02-27북한, 벌써 '봄 가뭄' 대비…5월은 결코 멀리 있지 않다기타뉴스1https://m.news1.kr/articles/?5333165&amp;amp;1<NA>
20802024-02-27‘목 타는’ 멕시코… 6월 ‘제로데이’ 닥치나기타세계일보https://www.segye.com/newsView/20240226514993<NA>
20812024-02-28한번쓰면 채우는데 800년…한반도 지하수가 사라져가고 있다 / JTBC 뉴스룸가뭄대비및해소JTBChttps://www.youtube.com/watch?v=GTMTyXdINDo<NA>
20822024-02-28한국수자원공사 한강유역본부, ‘수자원 분야 소통 워크숍’ 열어가뭄대비및해소인천일보https://www.drought.go.kr/menu/admin/news.do<NA>
20832024-02-28홍천군, 항구적 농업농수 확보위한 선제적 대책 추진!가뭄대비및해소스포츠서울https://www.sportsseoul.com/news/read/1403129?ref=naver홍천군

Duplicate rows

Most frequently occurring

게시일자뉴스제목키워드뉴스매체뉴스주소(URL)지역# duplicates
52023-02-02지역 간 수도서비스 격차 줄인다수도사업 통합 본격화 :: 공감언론 뉴시스통신사 ::가뭄영향뉴시스http://www.newsis.com/view/?id=NISX20230202_0002178567&cID=10206&pID=10200<NA>3
02018-03-08충주시 가뭄 방지 위해 수리시설 정비가뭄대비및해소연합뉴스http://app.yonhapnews.co.kr/YNA/Basic/SNS/r.aspx?c=AKR20180308130900064&did=1195m충주시2
12021-02-24구례군 산골오지마을에 깨끗한 수돗물 공급한다가뭄대비및해소뉴시스http://www.newsis.com/view/?id=NISX20210224_0001349884&cID=10899&pID=10800구례군2
22021-12-30군산 방축도에 내년 3월부터 용담댐 광역상수도 공급가뭄영향연합뉴스http://yna.kr/AKR20211230111800055?did=1195m군산시2
32022-10-05동복댐 저수율 &#39;반토막&#39;&hellip;광주시, 비상급수체계 가동 :: 공감언론...가뭄영향뉴시스http://www.newsis.com/view/?id=NISX20221005_0002037904&cID=10809&pID=10800<NA>2
42022-10-16가뭄에 전국 저수지 45곳 저수율 심각경계전남 28곳 최다 :...가뭄영향뉴시스http://www.newsis.com/view/?id=NISX20221016_0002049438&cID=10201&pID=10200<NA>2
62023-05-09군 장병 식수 여건 개선된다 :: 공감언론 뉴시스통신사 ::기타뉴시스http://www.newsis.com/view/?id=NISX20230508_0002295057&cID=10201&pID=10200<NA>2
72023-06-12광주시 가뭄홍수폭염 안심도시 만든다(종합) :: 공감언론 뉴시스통신사 ::가뭄영향뉴시스http://www.newsis.com/view/?id=NISX20230612_0002335818&cID=10201&pID=10200서구2
82023-11-09&amp;apos;수위 사상 최저&amp;apos;&hellip;라틴 아메리카 가장 큰 &amp;apos;티티카카 호수&amp;apos; 가뭄 극심기타연합뉴스https://www.yna.co.kr/view/IPT20231111000004365?section=news<NA>2
92023-12-14금세기 말 한반도 극심한 가뭄으로 사막화 진행될 수도가뭄영향서울신문https://www.seoul.co.kr/news/newsView.php?id=20231214500070<NA>2