Overview

Dataset statistics

Number of variables6
Number of observations140
Missing cells76
Missing cells (%)9.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.7 KiB
Average record size in memory56.0 B

Variable types

Text4
Categorical1
DateTime1

Dataset

Description2022년 새만금개발청에서 작성하여 언론 및 미디어 매체를 통해 배포된 보도자료 중 대표 홈페이지에 업로드 된 리스트 제공 목록 : 제목,담당부서,업무분류,조회수,등록일 등의 자료입니다.
URLhttps://www.data.go.kr/data/15121551/fileData.do

Alerts

등록일 has 76 (54.3%) missing valuesMissing

Reproduction

Analysis started2023-12-12 04:27:21.693346
Analysis finished2023-12-12 04:27:22.485878
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Text

Distinct102
Distinct (%)72.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-12T13:27:22.731985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length38.5
Mean length19.257143
Min length3

Characters and Unicode

Total characters2696
Distinct characters324
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique94 ?
Unique (%)67.1%

Sample

1st row새만금 내부 연결하는 대동맥
2nd row새만금 국가산단
3rd row새만금 투자진흥지구 조성 ‘빠르고
4th row「대한민국 새만금」 2023년 달력으로 만나요!
5th row(보도설명자료) 새만금 국가산단 통합개발계획 변경은 정상적으로 추진 중입니다.
ValueCountFrequency (%)
새만금 47
 
7.9%
새만금청 25
 
4.2%
새만금개발청 17
 
2.8%
개최 12
 
2.0%
청장 9
 
1.5%
「새만금 7
 
1.2%
보도설명자료 7
 
1.2%
「2022 6
 
1.0%
새만금에 6
 
1.0%
동정자료 5
 
0.8%
Other values (356) 457
76.4%
2023-12-12T13:27:23.258377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
458
 
17.0%
137
 
5.1%
136
 
5.0%
135
 
5.0%
65
 
2.4%
44
 
1.6%
33
 
1.2%
32
 
1.2%
32
 
1.2%
2 32
 
1.2%
Other values (314) 1592
59.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2075
77.0%
Space Separator 458
 
17.0%
Decimal Number 57
 
2.1%
Close Punctuation 36
 
1.3%
Open Punctuation 36
 
1.3%
Other Punctuation 15
 
0.6%
Initial Punctuation 7
 
0.3%
Final Punctuation 5
 
0.2%
Other Symbol 3
 
0.1%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
137
 
6.6%
136
 
6.6%
135
 
6.5%
65
 
3.1%
44
 
2.1%
33
 
1.6%
32
 
1.5%
32
 
1.5%
30
 
1.4%
30
 
1.4%
Other values (293) 1401
67.5%
Decimal Number
ValueCountFrequency (%)
2 32
56.1%
0 13
22.8%
7 4
 
7.0%
3 3
 
5.3%
5 2
 
3.5%
1 2
 
3.5%
4 1
 
1.8%
Other Punctuation
ValueCountFrequency (%)
. 10
66.7%
· 4
 
26.7%
! 1
 
6.7%
Close Punctuation
ValueCountFrequency (%)
) 20
55.6%
16
44.4%
Open Punctuation
ValueCountFrequency (%)
( 20
55.6%
16
44.4%
Uppercase Letter
ValueCountFrequency (%)
K 2
66.7%
S 1
33.3%
Space Separator
ValueCountFrequency (%)
458
100.0%
Initial Punctuation
ValueCountFrequency (%)
7
100.0%
Final Punctuation
ValueCountFrequency (%)
5
100.0%
Other Symbol
ValueCountFrequency (%)
3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2078
77.1%
Common 615
 
22.8%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
137
 
6.6%
136
 
6.5%
135
 
6.5%
65
 
3.1%
44
 
2.1%
33
 
1.6%
32
 
1.5%
32
 
1.5%
30
 
1.4%
30
 
1.4%
Other values (294) 1404
67.6%
Common
ValueCountFrequency (%)
458
74.5%
2 32
 
5.2%
) 20
 
3.3%
( 20
 
3.3%
16
 
2.6%
16
 
2.6%
0 13
 
2.1%
. 10
 
1.6%
7
 
1.1%
5
 
0.8%
Other values (8) 18
 
2.9%
Latin
ValueCountFrequency (%)
K 2
66.7%
S 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2074
76.9%
ASCII 570
 
21.1%
None 39
 
1.4%
Punctuation 12
 
0.4%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
458
80.4%
2 32
 
5.6%
) 20
 
3.5%
( 20
 
3.5%
0 13
 
2.3%
. 10
 
1.8%
7 4
 
0.7%
3 3
 
0.5%
5 2
 
0.4%
K 2
 
0.4%
Other values (5) 6
 
1.1%
Hangul
ValueCountFrequency (%)
137
 
6.6%
136
 
6.6%
135
 
6.5%
65
 
3.1%
44
 
2.1%
33
 
1.6%
32
 
1.5%
32
 
1.5%
30
 
1.4%
30
 
1.4%
Other values (292) 1400
67.5%
None
ValueCountFrequency (%)
16
41.0%
16
41.0%
· 4
 
10.3%
3
 
7.7%
Punctuation
ValueCountFrequency (%)
7
58.3%
5
41.7%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

제목
Text

Distinct89
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-12T13:27:23.606081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length32
Mean length11.392857
Min length2

Characters and Unicode

Total characters1595
Distinct characters262
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)53.6%

Sample

1st row 십자형 도로 완성 눈앞
2nd row 개청 이후 최대 기업유치 달성
3rd row 확실하게’ 추진한다.
4th row홍보
5th row설명자료
ValueCountFrequency (%)
설명자료 12
 
3.0%
새만금 12
 
3.0%
홍보뉴스 10
 
2.5%
투자유치 9
 
2.3%
활동 9
 
2.3%
홍보 8
 
2.0%
공모전 8
 
2.0%
행사정보 7
 
1.8%
투자 7
 
1.8%
기업 6
 
1.5%
Other values (246) 310
77.9%
2023-12-12T13:27:24.147678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
323
 
20.3%
38
 
2.4%
33
 
2.1%
31
 
1.9%
29
 
1.8%
29
 
1.8%
24
 
1.5%
23
 
1.4%
23
 
1.4%
22
 
1.4%
Other values (252) 1020
63.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1234
77.4%
Space Separator 323
 
20.3%
Decimal Number 14
 
0.9%
Other Punctuation 6
 
0.4%
Close Punctuation 5
 
0.3%
Open Punctuation 5
 
0.3%
Uppercase Letter 4
 
0.3%
Final Punctuation 2
 
0.1%
Other Symbol 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
38
 
3.1%
33
 
2.7%
31
 
2.5%
29
 
2.4%
29
 
2.4%
24
 
1.9%
23
 
1.9%
23
 
1.9%
22
 
1.8%
21
 
1.7%
Other values (234) 961
77.9%
Decimal Number
ValueCountFrequency (%)
2 7
50.0%
0 4
28.6%
1 1
 
7.1%
5 1
 
7.1%
6 1
 
7.1%
Uppercase Letter
ValueCountFrequency (%)
R 1
25.0%
E 1
25.0%
C 1
25.0%
P 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 3
60.0%
2
40.0%
Open Punctuation
ValueCountFrequency (%)
( 3
60.0%
2
40.0%
Space Separator
ValueCountFrequency (%)
323
100.0%
Other Punctuation
ValueCountFrequency (%)
. 6
100.0%
Final Punctuation
ValueCountFrequency (%)
2
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1235
77.4%
Common 356
 
22.3%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
38
 
3.1%
33
 
2.7%
31
 
2.5%
29
 
2.3%
29
 
2.3%
24
 
1.9%
23
 
1.9%
23
 
1.9%
22
 
1.8%
21
 
1.7%
Other values (235) 962
77.9%
Common
ValueCountFrequency (%)
323
90.7%
2 7
 
2.0%
. 6
 
1.7%
0 4
 
1.1%
) 3
 
0.8%
( 3
 
0.8%
2
 
0.6%
2
 
0.6%
2
 
0.6%
1 1
 
0.3%
Other values (3) 3
 
0.8%
Latin
ValueCountFrequency (%)
R 1
25.0%
E 1
25.0%
C 1
25.0%
P 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1232
77.2%
ASCII 354
 
22.2%
None 5
 
0.3%
Punctuation 2
 
0.1%
Compat Jamo 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
323
91.2%
2 7
 
2.0%
. 6
 
1.7%
0 4
 
1.1%
) 3
 
0.8%
( 3
 
0.8%
R 1
 
0.3%
E 1
 
0.3%
1 1
 
0.3%
5 1
 
0.3%
Other values (4) 4
 
1.1%
Hangul
ValueCountFrequency (%)
38
 
3.1%
33
 
2.7%
31
 
2.5%
29
 
2.4%
29
 
2.4%
24
 
1.9%
23
 
1.9%
23
 
1.9%
22
 
1.8%
21
 
1.7%
Other values (233) 959
77.8%
Punctuation
ValueCountFrequency (%)
2
100.0%
None
ValueCountFrequency (%)
2
40.0%
2
40.0%
1
20.0%
Compat Jamo
ValueCountFrequency (%)
2
100.0%

분류체계
Categorical

Distinct34
Distinct (%)24.3%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
대변인실
21 
투자유치
19 
관광진흥과
12 
사업총괄과
산업진흥과
Other values (29)
72 

Length

Max length9
Median length4
Mean length4.45
Min length2

Unique

Unique10 ?
Unique (%)7.1%

Sample

1st row사업설명
2nd row투자유치
3rd row투자유치
4th row대변인실
5th row산업진흥과

Common Values

ValueCountFrequency (%)
대변인실 21
15.0%
투자유치 19
13.6%
관광진흥과 12
 
8.6%
사업총괄과 8
 
5.7%
산업진흥과 8
 
5.7%
운영지원과 8
 
5.7%
사업설명 6
 
4.3%
청장동정 5
 
3.6%
국제도시과 4
 
2.9%
홍보 4
 
2.9%
Other values (24) 45
32.1%

Length

2023-12-12T13:27:24.294280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대변인실 21
15.0%
투자유치 19
13.6%
관광진흥과 12
 
8.6%
사업총괄과 8
 
5.7%
산업진흥과 8
 
5.7%
운영지원과 8
 
5.7%
사업설명 6
 
4.3%
청장동정 5
 
3.6%
홍보 4
 
2.9%
기반시설과 4
 
2.9%
Other values (24) 45
32.1%
Distinct86
Distinct (%)61.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-12T13:27:24.557420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length4.0071429
Min length2

Characters and Unicode

Total characters561
Distinct characters52
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)50.7%

Sample

1st row기반시설과
2nd row교류협력과
3rd row계획총괄과
4th row639
5th row529
ValueCountFrequency (%)
교류협력과 19
 
13.6%
산업진흥과 10
 
7.1%
대변인실 7
 
5.0%
정보민원담당관 5
 
3.6%
운영지원과 4
 
2.9%
계획총괄과 4
 
2.9%
기반시설과 3
 
2.1%
관광진흥과 3
 
2.1%
기획재정담당관 2
 
1.4%
사업총괄과 2
 
1.4%
Other values (76) 81
57.9%
2023-12-12T13:27:25.062373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
48
 
8.6%
2 39
 
7.0%
3 34
 
6.1%
1 30
 
5.3%
4 23
 
4.1%
9 21
 
3.7%
5 20
 
3.6%
19
 
3.4%
6 19
 
3.4%
19
 
3.4%
Other values (42) 289
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 332
59.2%
Decimal Number 229
40.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
48
 
14.5%
19
 
5.7%
19
 
5.7%
19
 
5.7%
19
 
5.7%
13
 
3.9%
13
 
3.9%
13
 
3.9%
12
 
3.6%
11
 
3.3%
Other values (32) 146
44.0%
Decimal Number
ValueCountFrequency (%)
2 39
17.0%
3 34
14.8%
1 30
13.1%
4 23
10.0%
9 21
9.2%
5 20
8.7%
6 19
8.3%
0 15
 
6.6%
8 14
 
6.1%
7 14
 
6.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 332
59.2%
Common 229
40.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
48
 
14.5%
19
 
5.7%
19
 
5.7%
19
 
5.7%
19
 
5.7%
13
 
3.9%
13
 
3.9%
13
 
3.9%
12
 
3.6%
11
 
3.3%
Other values (32) 146
44.0%
Common
ValueCountFrequency (%)
2 39
17.0%
3 34
14.8%
1 30
13.1%
4 23
10.0%
9 21
9.2%
5 20
8.7%
6 19
8.3%
0 15
 
6.6%
8 14
 
6.1%
7 14
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 332
59.2%
ASCII 229
40.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
48
 
14.5%
19
 
5.7%
19
 
5.7%
19
 
5.7%
19
 
5.7%
13
 
3.9%
13
 
3.9%
13
 
3.9%
12
 
3.6%
11
 
3.3%
Other values (32) 146
44.0%
ASCII
ValueCountFrequency (%)
2 39
17.0%
3 34
14.8%
1 30
13.1%
4 23
10.0%
9 21
9.2%
5 20
8.7%
6 19
8.3%
0 15
 
6.6%
8 14
 
6.1%
7 14
 
6.1%
Distinct124
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-12T13:27:25.412750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length6.8
Min length2

Characters and Unicode

Total characters952
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique113 ?
Unique (%)80.7%

Sample

1st row731
2nd row652
3rd row593
4th row2022-12-23
5th row2022-12-20
ValueCountFrequency (%)
2022-03-30 4
 
2.9%
299 3
 
2.1%
2022-01-03 3
 
2.1%
2022-07-26 3
 
2.1%
2022-04-21 2
 
1.4%
2022-09-07 2
 
1.4%
2022-10-17 2
 
1.4%
2022-11-21 2
 
1.4%
255 2
 
1.4%
259 2
 
1.4%
Other values (114) 115
82.1%
2023-12-12T13:27:25.854709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 303
31.8%
0 187
19.6%
- 152
16.0%
1 85
 
8.9%
3 46
 
4.8%
7 39
 
4.1%
9 34
 
3.6%
5 32
 
3.4%
8 29
 
3.0%
4 28
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 800
84.0%
Dash Punctuation 152
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 303
37.9%
0 187
23.4%
1 85
 
10.6%
3 46
 
5.8%
7 39
 
4.9%
9 34
 
4.2%
5 32
 
4.0%
8 29
 
3.6%
4 28
 
3.5%
6 17
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 152
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 952
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 303
31.8%
0 187
19.6%
- 152
16.0%
1 85
 
8.9%
3 46
 
4.8%
7 39
 
4.1%
9 34
 
3.6%
5 32
 
3.4%
8 29
 
3.0%
4 28
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 952
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 303
31.8%
0 187
19.6%
- 152
16.0%
1 85
 
8.9%
3 46
 
4.8%
7 39
 
4.1%
9 34
 
3.6%
5 32
 
3.4%
8 29
 
3.0%
4 28
 
2.9%

등록일
Date

MISSING 

Distinct59
Distinct (%)92.2%
Missing76
Missing (%)54.3%
Memory size2.2 KiB
Minimum2022-01-03 00:00:00
Maximum2022-12-28 00:00:00
2023-12-12T13:27:26.033151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:27:26.160334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Correlations

2023-12-12T13:27:26.243641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제목분류체계담당부서등록일
제목1.0000.9790.0001.000
분류체계0.9791.0000.0000.960
담당부서0.0000.0001.0000.879
등록일1.0000.9600.8791.000

Missing values

2023-12-12T13:27:22.331987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:27:22.445291image/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

번호제목분류체계담당부서조회수등록일
1새만금 내부 연결하는 대동맥십자형 도로 완성 눈앞사업설명기반시설과7312022-12-28
2새만금 국가산단개청 이후 최대 기업유치 달성투자유치교류협력과6522022-12-27
3새만금 투자진흥지구 조성 ‘빠르고확실하게’ 추진한다.투자유치계획총괄과5932022-12-26
4「대한민국 새만금」 2023년 달력으로 만나요!홍보대변인실6392022-12-23<NA>
5(보도설명자료) 새만금 국가산단 통합개발계획 변경은 정상적으로 추진 중입니다.설명자료산업진흥과5292022-12-20<NA>
6새만금 알림이 「2022 새만금탐험대」해단식 가져행사정보대변인실2972022-12-16<NA>
7새만금 국가산업단지신규건축 공사 활기사업설명정보민원담당관4002022-12-16
8(보도해명자료) 새만금개발청은 새만금 개발사업이 합리적으로조속히 추진될 수 있도록 노력하고 있습니다.설명자료계획총괄과3542022-12-14
9새만금개발청비산모래 차단 방재숲 조성 현장 안전 점검안전점검국제도시과2272022-12-13
10새만금개발청새만금 지역 겨울철 재난 대응 총력안전관리사업총괄과2002022-12-12
번호제목분류체계담당부서조회수등록일
132국립새만금간척박물관 올해 하반기 선보여홍보뉴스관광진흥과3302022-01-12<NA>
133새만금청공공기관 개인정보관리 최우수 기관 선정홍보뉴스정보민원담당관1972022-01-11
134새만금에 정밀화학소재·냉각탑 제조기업 입주 잇따라친환경산업진흥과1672022-01-11<NA>
135올 새만금 케이팝 축제에 생각을 모아 주세요관광레저대변인실1522022-01-10<NA>
136자동차 무선통신장비 전장업체 ㈜이씨스새만금에 증설 투자투자유치산업진흥과2592022-01-07
137(보도설명자료) 새만금 신항에 전기수도 등 기반시설이 원활히 공급될 수 있도록 관계기관과 협의하고 있습니다.설명자료기반시설과3062022-01-03<NA>
138새만금전략소재 중국기업 투자유치투자유치교류협력과2992022-01-03
139새만금지역 내 안정적인 용수공급 위해 배수지 건설 속도사업설명기반시설과2192022-01-03<NA>
140김부겸 국무총리제26차 새만금위원회 안건 서면 심의 확정설명자료기획재정담당관2552022-01-03
141새만금 ‘글로벌 청소년 리더센터’ 통합개발계획 승인사업설명관광진흥과2342022-01-03<NA>