Overview

Dataset statistics

Number of variables6
Number of observations54
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory51.4 B

Variable types

Numeric1
Text2
Categorical2
DateTime1

Dataset

Description해당 데이터는 인천광역시 남동구 소식지 남동사람들에 관련된 자료로서, 인천광역시 남동구 소식지 남동사람들의 정보를 csv 형태로 확인할 수 있다.
Author인천광역시 남동구
URLhttps://www.data.go.kr/data/15103688/fileData.do

Alerts

담당부서 has constant value ""Constant
데이터기준일 has constant value ""Constant
번호 has unique valuesUnique
제목 has unique valuesUnique
뉴스상세내용 has unique valuesUnique
작성일시 has unique valuesUnique

Reproduction

Analysis started2024-04-17 11:21:27.921098
Analysis finished2024-04-17 11:21:28.257172
Duration0.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.5
Minimum1
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-17T20:21:28.317643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.65
Q114.25
median27.5
Q340.75
95-th percentile51.35
Maximum54
Range53
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation15.732133
Coefficient of variation (CV)0.57207755
Kurtosis-1.2
Mean27.5
Median Absolute Deviation (MAD)13.5
Skewness0
Sum1485
Variance247.5
MonotonicityStrictly increasing
2024-04-17T20:21:28.430115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
42 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
38 1
 
1.9%
Other values (44) 44
81.5%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
54 1
1.9%
53 1
1.9%
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%

제목
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-04-17T20:21:28.563723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length14.833333
Min length14

Characters and Unicode

Total characters801
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)100.0%

Sample

1st row반상회보 2019년 4월호
2nd row반상회보 2019년 5월호
3rd row반상회보 2019년 6월호
4th row반상회보 2019년 7월호
5th row반상회보 2019년 8월호
ValueCountFrequency (%)
남동사람들 33
20.4%
반상회보 21
13.0%
2022년 12
 
7.4%
2020년 12
 
7.4%
2021년 12
 
7.4%
2019년 9
 
5.6%
2023년 9
 
5.6%
6월호 5
 
3.1%
7월호 5
 
3.1%
5월호 5
 
3.1%
Other values (9) 39
24.1%
2024-04-17T20:21:28.823134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 119
14.9%
108
13.5%
0 70
 
8.7%
월 54
 
6.7%
호 54
 
6.7%
년 54
 
6.7%
1 41
 
5.1%
들 33
 
4.1%
람 33
 
4.1%
사 33
 
4.1%
Other values (13) 202
25.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 411
51.3%
Decimal Number 282
35.2%
Space Separator 108
 
13.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
월 54
13.1%
호 54
13.1%
년 54
13.1%
들 33
8.0%
람 33
8.0%
사 33
8.0%
동 33
8.0%
남 33
8.0%
반 21
 
5.1%
상 21
 
5.1%
Other values (2) 42
10.2%
Decimal Number
ValueCountFrequency (%)
2 119
42.2%
0 70
24.8%
1 41
 
14.5%
9 14
 
5.0%
3 13
 
4.6%
4 5
 
1.8%
5 5
 
1.8%
6 5
 
1.8%
7 5
 
1.8%
8 5
 
1.8%
Space Separator
ValueCountFrequency (%)
108
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 411
51.3%
Common 390
48.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
월 54
13.1%
호 54
13.1%
년 54
13.1%
들 33
8.0%
람 33
8.0%
사 33
8.0%
동 33
8.0%
남 33
8.0%
반 21
 
5.1%
상 21
 
5.1%
Other values (2) 42
10.2%
Common
ValueCountFrequency (%)
2 119
30.5%
108
27.7%
0 70
17.9%
1 41
 
10.5%
9 14
 
3.6%
3 13
 
3.3%
4 5
 
1.3%
5 5
 
1.3%
6 5
 
1.3%
7 5
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 411
51.3%
ASCII 390
48.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 119
30.5%
108
27.7%
0 70
17.9%
1 41
 
10.5%
9 14
 
3.6%
3 13
 
3.3%
4 5
 
1.3%
5 5
 
1.3%
6 5
 
1.3%
7 5
 
1.3%
Hangul
ValueCountFrequency (%)
월 54
13.1%
호 54
13.1%
년 54
13.1%
들 33
8.0%
람 33
8.0%
사 33
8.0%
동 33
8.0%
남 33
8.0%
반 21
 
5.1%
상 21
 
5.1%
Other values (2) 42
10.2%

뉴스상세내용
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-04-17T20:21:29.038910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length44
Mean length44
Min length44

Characters and Unicode

Total characters2376
Distinct characters29
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)100.0%

Sample

1st rowhttps://www.namdong.go.kr/ebook/namdong_319/
2nd rowhttps://www.namdong.go.kr/ebook/namdong_320/
3rd rowhttps://www.namdong.go.kr/ebook/namdong_321/
4th rowhttps://www.namdong.go.kr/ebook/namdong_322/
5th rowhttps://www.namdong.go.kr/ebook/namdong_323/
ValueCountFrequency (%)
https://www.namdong.go.kr/ebook/namdong_319 1
 
1.9%
https://www.namdong.go.kr/ebook/namdong_358 1
 
1.9%
https://www.namdong.go.kr/ebook/namdong_371 1
 
1.9%
https://www.namdong.go.kr/ebook/namdong_348 1
 
1.9%
https://www.namdong.go.kr/ebook/namdong_349 1
 
1.9%
https://www.namdong.go.kr/ebook/namdong_350 1
 
1.9%
https://www.namdong.go.kr/ebook/namdong_351 1
 
1.9%
https://www.namdong.go.kr/ebook/namdong_352 1
 
1.9%
https://www.namdong.go.kr/ebook/namdong_353 1
 
1.9%
https://www.namdong.go.kr/ebook/namdong_354 1
 
1.9%
Other values (44) 44
81.5%
2024-04-17T20:21:29.340057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 270
 
11.4%
o 270
 
11.4%
n 216
 
9.1%
w 162
 
6.8%
. 162
 
6.8%
g 162
 
6.8%
k 108
 
4.5%
a 108
 
4.5%
m 108
 
4.5%
d 108
 
4.5%
Other values (19) 702
29.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1674
70.5%
Other Punctuation 486
 
20.5%
Decimal Number 162
 
6.8%
Connector Punctuation 54
 
2.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 270
16.1%
n 216
12.9%
w 162
9.7%
g 162
9.7%
k 108
 
6.5%
a 108
 
6.5%
m 108
 
6.5%
d 108
 
6.5%
t 108
 
6.5%
e 54
 
3.2%
Other values (5) 270
16.1%
Decimal Number
ValueCountFrequency (%)
3 69
42.6%
2 16
 
9.9%
4 15
 
9.3%
5 15
 
9.3%
6 15
 
9.3%
7 8
 
4.9%
1 7
 
4.3%
9 6
 
3.7%
0 6
 
3.7%
8 5
 
3.1%
Other Punctuation
ValueCountFrequency (%)
/ 270
55.6%
. 162
33.3%
: 54
 
11.1%
Connector Punctuation
ValueCountFrequency (%)
_ 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1674
70.5%
Common 702
29.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 270
16.1%
n 216
12.9%
w 162
9.7%
g 162
9.7%
k 108
 
6.5%
a 108
 
6.5%
m 108
 
6.5%
d 108
 
6.5%
t 108
 
6.5%
e 54
 
3.2%
Other values (5) 270
16.1%
Common
ValueCountFrequency (%)
/ 270
38.5%
. 162
23.1%
3 69
 
9.8%
_ 54
 
7.7%
: 54
 
7.7%
2 16
 
2.3%
4 15
 
2.1%
5 15
 
2.1%
6 15
 
2.1%
7 8
 
1.1%
Other values (4) 24
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2376
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 270
 
11.4%
o 270
 
11.4%
n 216
 
9.1%
w 162
 
6.8%
. 162
 
6.8%
g 162
 
6.8%
k 108
 
4.5%
a 108
 
4.5%
m 108
 
4.5%
d 108
 
4.5%
Other values (19) 702
29.5%

담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
홍보실
54 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
홍보실 54
100.0%

Length

2024-04-17T20:21:29.454359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:21:29.530223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
홍보실 54
100.0%

작성일시
Date

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
Minimum2019-04-15 00:00:00
Maximum2023-09-08 00:00:00
2024-04-17T20:21:29.615891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T20:21:29.728021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-09-12
54 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-12
2nd row2023-09-12
3rd row2023-09-12
4th row2023-09-12
5th row2023-09-12

Common Values

ValueCountFrequency (%)
2023-09-12 54
100.0%

Length

2024-04-17T20:21:29.838672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:21:29.923146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-12 54
100.0%

Interactions

2024-04-17T20:21:28.057647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-17T20:21:29.973347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호제목뉴스상세내용작성일시
번호1.0001.0001.0001.000
제목1.0001.0001.0001.000
뉴스상세내용1.0001.0001.0001.000
작성일시1.0001.0001.0001.000

Missing values

2024-04-17T20:21:28.146010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-17T20:21:28.225410image/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

번호제목뉴스상세내용담당부서작성일시데이터기준일
01반상회보 2019년 4월호https://www.namdong.go.kr/ebook/namdong_319/홍보실2019-04-152023-09-12
12반상회보 2019년 5월호https://www.namdong.go.kr/ebook/namdong_320/홍보실2019-05-292023-09-12
23반상회보 2019년 6월호https://www.namdong.go.kr/ebook/namdong_321/홍보실2019-06-202023-09-12
34반상회보 2019년 7월호https://www.namdong.go.kr/ebook/namdong_322/홍보실2019-07-242023-09-12
45반상회보 2019년 8월호https://www.namdong.go.kr/ebook/namdong_323/홍보실2019-08-212023-09-12
56반상회보 2019년 9월호https://www.namdong.go.kr/ebook/namdong_324/홍보실2019-09-112023-09-12
67반상회보 2019년 10월호https://www.namdong.go.kr/ebook/namdong_325/홍보실2019-10-152023-09-12
78반상회보 2019년 11월호https://www.namdong.go.kr/ebook/namdong_326/홍보실2019-11-212023-09-12
89반상회보 2019년 12월호https://www.namdong.go.kr/ebook/namdong_327/홍보실2019-12-312023-09-12
910반상회보 2020년 1월호https://www.namdong.go.kr/ebook/namdong_328/홍보실2020-01-302023-09-12
번호제목뉴스상세내용담당부서작성일시데이터기준일
4445남동사람들 2022년 12월호https://www.namdong.go.kr/ebook/namdong_363/홍보실2022-12-092023-09-12
4546남동사람들 2023년 1월호https://www.namdong.go.kr/ebook/namdong_364/홍보실2023-01-102023-09-12
4647남동사람들 2023년 2월호https://www.namdong.go.kr/ebook/namdong_365/홍보실2023-02-062023-09-12
4748남동사람들 2023년 3월호https://www.namdong.go.kr/ebook/namdong_366/홍보실2023-03-072023-09-12
4849남동사람들 2023년 4월호https://www.namdong.go.kr/ebook/namdong_367/홍보실2023-04-102023-09-12
4950남동사람들 2023년 5월호https://www.namdong.go.kr/ebook/namdong_368/홍보실2023-05-082023-09-12
5051남동사람들 2023년 6월호https://www.namdong.go.kr/ebook/namdong_369/홍보실2023-06-052023-09-12
5152남동사람들 2023년 7월호https://www.namdong.go.kr/ebook/namdong_370/홍보실2023-07-052023-09-12
5253남동사람들 2023년 8월호https://www.namdong.go.kr/ebook/namdong_371/홍보실2023-08-052023-09-12
5354남동사람들 2023년 9월호https://www.namdong.go.kr/ebook/namdong_372/홍보실2023-09-082023-09-12