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://data.incheon.go.kr/findData/publicDataDetail?dataId=15103688&srcSe=7661IVAWM27C61E190

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 started2024-01-28 16:54:00.942528
Analysis finished2024-01-28 16:54:01.686727
Duration0.74 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
2024-01-29T01:54:01.819436image/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
2024-01-29T01:54:02.168596image/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
2024-01-29T01:54:02.502380image/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%
2024-01-29T01:54:03.103244image/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
2024-01-29T01:54:03.534893image/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%
2024-01-29T01:54:04.239890image/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

2024-01-29T01:54:04.485513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T01:54:04.661581image/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
2024-01-29T01:54:04.917968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:54:05.169527image/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

2024-01-29T01:54:05.480000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T01:54:05.664912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-12 54
100.0%

Interactions

2024-01-29T01:54:01.181927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-29T01:54:05.796304image/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

2024-01-29T01:54:01.393469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-29T01:54:01.607490image/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