Overview

Dataset statistics

Number of variables7
Number of observations1747
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory97.4 KiB
Average record size in memory57.1 B

Variable types

Numeric1
Text1
Categorical4
DateTime1

Dataset

Description인천광역시 남동구 기업지원 홈페이지에서 발췌한 기업뉴스 현황에 대한 데이터로 뉴스 제목, 뉴스상세내용, 작성부서, 작성자, 작성일시 등을 제공합니다.
Author인천광역시 남동구
URLhttps://www.data.go.kr/data/15062088/fileData.do

Alerts

뉴스상세내용 has constant value ""Constant
담당부서 has constant value ""Constant
데이터기준일 has constant value ""Constant
작성자 is highly imbalanced (82.0%)Imbalance
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:47:11.562217
Analysis finished2023-12-12 20:47:12.615791
Duration1.05 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1747
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean874
Minimum1
Maximum1747
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.5 KiB
2023-12-13T05:47:12.700487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile88.3
Q1437.5
median874
Q31310.5
95-th percentile1659.7
Maximum1747
Range1746
Interquartile range (IQR)873

Descriptive statistics

Standard deviation504.45978
Coefficient of variation (CV)0.5771851
Kurtosis-1.2
Mean874
Median Absolute Deviation (MAD)437
Skewness0
Sum1526878
Variance254479.67
MonotonicityStrictly increasing
2023-12-13T05:47:12.904792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1163 1
 
0.1%
1174 1
 
0.1%
1173 1
 
0.1%
1172 1
 
0.1%
1171 1
 
0.1%
1170 1
 
0.1%
1169 1
 
0.1%
1168 1
 
0.1%
1167 1
 
0.1%
Other values (1737) 1737
99.4%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1747 1
0.1%
1746 1
0.1%
1745 1
0.1%
1744 1
0.1%
1743 1
0.1%
1742 1
0.1%
1741 1
0.1%
1740 1
0.1%
1739 1
0.1%
1738 1
0.1%
Distinct1739
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
2023-12-13T05:47:13.364496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length48
Mean length26.168861
Min length7

Characters and Unicode

Total characters45717
Distinct characters848
Distinct categories16 ?
Distinct scripts5 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1731 ?
Unique (%)99.1%

Sample

1st row[박승찬의 ‘차이나는 차이나 비즈니스’] 비즈니스 성공 가능성 높이는 색깔 마케팅
2nd row제조업 창업기업 부담금 면제범위 및 기간확대
3rd row코스메틱리포트 147호(1월 둘째주)
4th row산업부 지자체, 유턴기업 지원 협력방안 논의
5th row산업부, ''자동차산업'' 수출 여건 개선 방안 논의
ValueCountFrequency (%)
시장 217
 
2.0%
중국 177
 
1.6%
기고 131
 
1.2%
동향 113
 
1.0%
111
 
1.0%
코로나19 103
 
1.0%
트렌드 102
 
0.9%
참관기 101
 
0.9%
미국 82
 
0.8%
일본 70
 
0.6%
Other values (4563) 9635
88.9%
2023-12-13T05:47:13.958494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9095
 
19.9%
840
 
1.8%
818
 
1.8%
688
 
1.5%
608
 
1.3%
, 561
 
1.2%
551
 
1.2%
543
 
1.2%
2 513
 
1.1%
460
 
1.0%
Other values (838) 31040
67.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31196
68.2%
Space Separator 9095
 
19.9%
Decimal Number 1782
 
3.9%
Uppercase Letter 945
 
2.1%
Other Punctuation 833
 
1.8%
Lowercase Letter 597
 
1.3%
Open Punctuation 492
 
1.1%
Close Punctuation 491
 
1.1%
Dash Punctuation 102
 
0.2%
Final Punctuation 68
 
0.1%
Other values (6) 116
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
840
 
2.7%
818
 
2.6%
688
 
2.2%
608
 
1.9%
551
 
1.8%
543
 
1.7%
460
 
1.5%
458
 
1.5%
406
 
1.3%
401
 
1.3%
Other values (747) 25423
81.5%
Uppercase Letter
ValueCountFrequency (%)
A 104
 
11.0%
E 93
 
9.8%
C 79
 
8.4%
T 77
 
8.1%
I 58
 
6.1%
P 51
 
5.4%
S 50
 
5.3%
U 46
 
4.9%
K 45
 
4.8%
O 40
 
4.2%
Other values (16) 302
32.0%
Lowercase Letter
ValueCountFrequency (%)
e 91
15.2%
o 76
12.7%
a 54
 
9.0%
n 42
 
7.0%
r 42
 
7.0%
i 36
 
6.0%
t 31
 
5.2%
c 27
 
4.5%
u 25
 
4.2%
p 21
 
3.5%
Other values (14) 152
25.5%
Other Punctuation
ValueCountFrequency (%)
, 561
67.3%
' 65
 
7.8%
! 63
 
7.6%
. 56
 
6.7%
· 43
 
5.2%
% 12
 
1.4%
11
 
1.3%
" 8
 
1.0%
& 7
 
0.8%
4
 
0.5%
Other values (2) 3
 
0.4%
Decimal Number
ValueCountFrequency (%)
2 513
28.8%
1 428
24.0%
0 410
23.0%
9 235
13.2%
3 58
 
3.3%
4 42
 
2.4%
5 40
 
2.2%
6 23
 
1.3%
8 21
 
1.2%
7 12
 
0.7%
Math Symbol
ValueCountFrequency (%)
+ 9
47.4%
~ 9
47.4%
= 1
 
5.3%
Other Number
ValueCountFrequency (%)
3
33.3%
3
33.3%
3
33.3%
Open Punctuation
ValueCountFrequency (%)
[ 329
66.9%
( 163
33.1%
Close Punctuation
ValueCountFrequency (%)
] 329
67.0%
) 162
33.0%
Final Punctuation
ValueCountFrequency (%)
62
91.2%
6
 
8.8%
Initial Punctuation
ValueCountFrequency (%)
58
90.6%
6
 
9.4%
Space Separator
ValueCountFrequency (%)
9095
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 19
100.0%
Modifier Symbol
ValueCountFrequency (%)
´ 4
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31035
67.9%
Common 12979
28.4%
Latin 1541
 
3.4%
Han 161
 
0.4%
Greek 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
840
 
2.7%
818
 
2.6%
688
 
2.2%
608
 
2.0%
551
 
1.8%
543
 
1.7%
460
 
1.5%
458
 
1.5%
406
 
1.3%
401
 
1.3%
Other values (716) 25262
81.4%
Latin
ValueCountFrequency (%)
A 104
 
6.7%
E 93
 
6.0%
e 91
 
5.9%
C 79
 
5.1%
T 77
 
5.0%
o 76
 
4.9%
I 58
 
3.8%
a 54
 
3.5%
P 51
 
3.3%
S 50
 
3.2%
Other values (39) 808
52.4%
Common
ValueCountFrequency (%)
9095
70.1%
, 561
 
4.3%
2 513
 
4.0%
1 428
 
3.3%
0 410
 
3.2%
[ 329
 
2.5%
] 329
 
2.5%
9 235
 
1.8%
( 163
 
1.3%
) 162
 
1.2%
Other values (31) 754
 
5.8%
Han
ValueCountFrequency (%)
62
38.5%
51
31.7%
15
 
9.3%
4
 
2.5%
2
 
1.2%
2
 
1.2%
1
 
0.6%
1
 
0.6%
1
 
0.6%
1
 
0.6%
Other values (21) 21
 
13.0%
Greek
ValueCountFrequency (%)
α 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31035
67.9%
ASCII 14316
31.3%
CJK 161
 
0.4%
Punctuation 147
 
0.3%
None 48
 
0.1%
Enclosed Alphanum 9
 
< 0.1%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9095
63.5%
, 561
 
3.9%
2 513
 
3.6%
1 428
 
3.0%
0 410
 
2.9%
[ 329
 
2.3%
] 329
 
2.3%
9 235
 
1.6%
( 163
 
1.1%
) 162
 
1.1%
Other values (68) 2091
 
14.6%
Hangul
ValueCountFrequency (%)
840
 
2.7%
818
 
2.6%
688
 
2.2%
608
 
2.0%
551
 
1.8%
543
 
1.7%
460
 
1.5%
458
 
1.5%
406
 
1.3%
401
 
1.3%
Other values (716) 25262
81.4%
Punctuation
ValueCountFrequency (%)
62
42.2%
58
39.5%
11
 
7.5%
6
 
4.1%
6
 
4.1%
4
 
2.7%
CJK
ValueCountFrequency (%)
62
38.5%
51
31.7%
15
 
9.3%
4
 
2.5%
2
 
1.2%
2
 
1.2%
1
 
0.6%
1
 
0.6%
1
 
0.6%
1
 
0.6%
Other values (21) 21
 
13.0%
None
ValueCountFrequency (%)
· 43
89.6%
´ 4
 
8.3%
α 1
 
2.1%
Enclosed Alphanum
ValueCountFrequency (%)
3
33.3%
3
33.3%
3
33.3%
Misc Symbols
ValueCountFrequency (%)
1
100.0%

뉴스상세내용
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
http://www.namdong.go.kr/support/sub/news.jsp
1747 

Length

Max length45
Median length45
Mean length45
Min length45

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowhttp://www.namdong.go.kr/support/sub/news.jsp
2nd rowhttp://www.namdong.go.kr/support/sub/news.jsp
3rd rowhttp://www.namdong.go.kr/support/sub/news.jsp
4th rowhttp://www.namdong.go.kr/support/sub/news.jsp
5th rowhttp://www.namdong.go.kr/support/sub/news.jsp

Common Values

ValueCountFrequency (%)
http://www.namdong.go.kr/support/sub/news.jsp 1747
100.0%

Length

2023-12-13T05:47:14.145646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:47:14.259265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
http://www.namdong.go.kr/support/sub/news.jsp 1747
100.0%

담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
기업지원과
1747 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기업지원과 1747
100.0%

Length

2023-12-13T05:47:14.370929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:47:14.493048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기업지원과 1747
100.0%

작성자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
오석
1637 
최송화
 
74
김승혜
 
26
정우철
 
8
이승환
 
2

Length

Max length3
Median length2
Mean length2.0629651
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
오석 1637
93.7%
최송화 74
 
4.2%
김승혜 26
 
1.5%
정우철 8
 
0.5%
이승환 2
 
0.1%

Length

2023-12-13T05:47:14.647248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:47:14.777018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
오석 1637
93.7%
최송화 74
 
4.2%
김승혜 26
 
1.5%
정우철 8
 
0.5%
이승환 2
 
0.1%
Distinct272
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
Minimum2019-01-14 00:00:00
Maximum2021-07-14 00:00:00
2023-12-13T05:47:14.937052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:47:15.138664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
2023-10-20
1747 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-10-20
2nd row2023-10-20
3rd row2023-10-20
4th row2023-10-20
5th row2023-10-20

Common Values

ValueCountFrequency (%)
2023-10-20 1747
100.0%

Length

2023-12-13T05:47:15.340658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:47:15.476686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-20 1747
100.0%

Interactions

2023-12-13T05:47:12.214316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:47:15.541463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호작성자
번호1.0000.695
작성자0.6951.000
2023-12-13T05:47:15.649650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호작성자
번호1.0000.359
작성자0.3591.000

Missing values

2023-12-13T05:47:12.413329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:47:12.566787image/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

번호뉴스제목뉴스상세내용담당부서작성자작성일시데이터기준일
01[박승찬의 ‘차이나는 차이나 비즈니스’] 비즈니스 성공 가능성 높이는 색깔 마케팅http://www.namdong.go.kr/support/sub/news.jsp기업지원과김승혜2019-01-142023-10-20
12제조업 창업기업 부담금 면제범위 및 기간확대http://www.namdong.go.kr/support/sub/news.jsp기업지원과김승혜2019-01-142023-10-20
23코스메틱리포트 147호(1월 둘째주)http://www.namdong.go.kr/support/sub/news.jsp기업지원과김승혜2019-01-142023-10-20
34산업부 지자체, 유턴기업 지원 협력방안 논의http://www.namdong.go.kr/support/sub/news.jsp기업지원과김승혜2019-01-232023-10-20
45산업부, ''자동차산업'' 수출 여건 개선 방안 논의http://www.namdong.go.kr/support/sub/news.jsp기업지원과김승혜2019-01-232023-10-20
56''세미콘 코리아 2019'' 개최…반도체 산업의 현재와 미래 조망http://www.namdong.go.kr/support/sub/news.jsp기업지원과김승혜2019-01-232023-10-20
67"美中고위급 무역협상 준비회의 취소"…커들로, 보도 부인http://www.namdong.go.kr/support/sub/news.jsp기업지원과김승혜2019-01-232023-10-20
78신규 HACCP 의무적용 유예처리 기준 및 절차 안내http://www.namdong.go.kr/support/sub/news.jsp기업지원과김승혜2019-01-232023-10-20
89‘컨 5300개 수송’ 아마존, 해운시장 확대 본격화http://www.namdong.go.kr/support/sub/news.jsp기업지원과김승혜2019-02-072023-10-20
910새해엔 2조 달러 ‘할랄시장’을 노려볼까http://www.namdong.go.kr/support/sub/news.jsp기업지원과김승혜2019-02-072023-10-20
번호뉴스제목뉴스상세내용담당부서작성자작성일시데이터기준일
17371738유튜브, 베트남에서 가장 인기있는 소셜미디어 플랫폼http://www.namdong.go.kr/support/sub/news.jsp기업지원과오석2021-06-302023-10-20
17381739수단의 영상 의료장비 시장 트렌드http://www.namdong.go.kr/support/sub/news.jsp기업지원과오석2021-06-302023-10-20
17391740온라인 패션업계의 거인이 화장품 시장에 진입한 이유는-무역뉴스http://www.namdong.go.kr/support/sub/news.jsp기업지원과정우철2021-07-082023-10-20
17401741미국, 어글리 슈즈의 인기 비결은=무역뉴스http://www.namdong.go.kr/support/sub/news.jsp기업지원과정우철2021-07-082023-10-20
17411742경기회복 기대감...3분기 유통가 전망도 긍정적-무역뉴스http://www.namdong.go.kr/support/sub/news.jsp기업지원과정우철2021-07-082023-10-20
17421743"소규모 기업, 환율 하락 시 수출 타격 더 크다"-무역뉴스http://www.namdong.go.kr/support/sub/news.jsp기업지원과정우철2021-07-082023-10-20
17431744[중소기업중앙회]2021년 7월 경기전망조사 결과보고서http://www.namdong.go.kr/support/sub/news.jsp기업지원과정우철2021-07-082023-10-20
17441745(보도자료)2021년 3분기 인천지역 제조업경기전망http://www.namdong.go.kr/support/sub/news.jsp기업지원과정우철2021-07-082023-10-20
17451746[KOTRA]해외시장뉴스_싱가포르, 대체 불가능 토근(NFT)에 주목http://www.namdong.go.kr/support/sub/news.jsp기업지원과정우철2021-07-142023-10-20
17461747[한국무역협회]KITA 통상리포트 14호(웹용)_한-EU FTA 10주년 성과와 시사점http://www.namdong.go.kr/support/sub/news.jsp기업지원과정우철2021-07-142023-10-20