Overview

Dataset statistics

Number of variables10
Number of observations50
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory83.6 B

Variable types

Categorical7
Text2
Numeric1

Dataset

Description대구광역시 서구의 노인일자리 사업 현황을 나타내는 데이터 입니다. 사업명, 사업의 주요활동 등의 내용을 포함하고 있습니다.
Author대구광역시 서구
URLhttps://www.data.go.kr/data/15088770/fileData.do

Alerts

사업시작일 has constant value ""Constant
사업종료일 has constant value ""Constant
구군명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전화번호 is highly overall correlated with 수행기관High correlation
수행기관 is highly overall correlated with 전화번호High correlation

Reproduction

Analysis started2024-04-21 01:59:26.264763
Analysis finished2024-04-21 01:59:28.621502
Duration2.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

수행기관
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
서구시니어클럽
38 
서구노인복지관
4 
비원노인복지관
 
3
내당노인복지관
 
2
서구청
 
2

Length

Max length15
Median length7
Mean length7
Min length3

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
서구시니어클럽 38
76.0%
서구노인복지관 4
 
8.0%
비원노인복지관 3
 
6.0%
내당노인복지관 2
 
4.0%
서구청 2
 
4.0%
평안교회 부설 노인 복지센터 1
 
2.0%

Length

2024-04-21T10:59:28.684135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:59:28.787508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서구시니어클럽 38
71.7%
서구노인복지관 4
 
7.5%
비원노인복지관 3
 
5.7%
내당노인복지관 2
 
3.8%
서구청 2
 
3.8%
평안교회 1
 
1.9%
부설 1
 
1.9%
노인 1
 
1.9%
복지센터 1
 
1.9%

사업명
Text

Distinct43
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-04-21T10:59:28.994498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length9.38
Min length4

Characters and Unicode

Total characters469
Distinct characters138
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)80.0%

Sample

1st row시니어문서파쇄재활용사업
2nd rowSG시니어택배사업
3rd row행복떡방
4th row행복소반
5th row하하호호일터
ValueCountFrequency (%)
노노케어 5
 
9.4%
공공시설봉사(복지시설봉사 3
 
5.7%
공공시설봉사(녹지시설봉사 2
 
3.8%
공공시설봉사(환경개선봉사(신규 1
 
1.9%
및 1
 
1.9%
체육시설 1
 
1.9%
안전지킴이 1
 
1.9%
시니어문서파쇄재활용사업 1
 
1.9%
원하는대로동네지킴이 1
 
1.9%
어린이안심하원도우미 1
 
1.9%
Other values (36) 36
67.9%
2024-04-21T10:59:29.355270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 29
 
6.2%
사 22
 
4.7%
시 20
 
4.3%
우 17
 
3.6%
도 16
 
3.4%
설 15
 
3.2%
원 15
 
3.2%
노 14
 
3.0%
공 14
 
3.0%
미 14
 
3.0%
Other values (128) 293
62.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 444
94.7%
Open Punctuation 9
 
1.9%
Close Punctuation 9
 
1.9%
Uppercase Letter 4
 
0.9%
Space Separator 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 29
 
6.5%
사 22
 
5.0%
시 20
 
4.5%
우 17
 
3.8%
도 16
 
3.6%
설 15
 
3.4%
원 15
 
3.4%
노 14
 
3.2%
공 14
 
3.2%
미 14
 
3.2%
Other values (121) 268
60.4%
Uppercase Letter
ValueCountFrequency (%)
G 1
25.0%
S 1
25.0%
U 1
25.0%
P 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 444
94.7%
Common 21
 
4.5%
Latin 4
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 29
 
6.5%
사 22
 
5.0%
시 20
 
4.5%
우 17
 
3.8%
도 16
 
3.6%
설 15
 
3.4%
원 15
 
3.4%
노 14
 
3.2%
공 14
 
3.2%
미 14
 
3.2%
Other values (121) 268
60.4%
Latin
ValueCountFrequency (%)
G 1
25.0%
S 1
25.0%
U 1
25.0%
P 1
25.0%
Common
ValueCountFrequency (%)
( 9
42.9%
) 9
42.9%
3
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 444
94.7%
ASCII 25
 
5.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 29
 
6.5%
사 22
 
5.0%
시 20
 
4.5%
우 17
 
3.8%
도 16
 
3.6%
설 15
 
3.4%
원 15
 
3.4%
노 14
 
3.2%
공 14
 
3.2%
미 14
 
3.2%
Other values (121) 268
60.4%
ASCII
ValueCountFrequency (%)
( 9
36.0%
) 9
36.0%
3
 
12.0%
G 1
 
4.0%
S 1
 
4.0%
U 1
 
4.0%
P 1
 
4.0%

사업구분
Categorical

Distinct3
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
공익활동
34 
시장형
10 
사회서비스형
6 

Length

Max length6
Median length4
Mean length4.04
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공익활동 34
68.0%
시장형 10
 
20.0%
사회서비스형 6
 
12.0%

Length

2024-04-21T10:59:29.491480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:59:29.594626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공익활동 34
68.0%
시장형 10
 
20.0%
사회서비스형 6
 
12.0%

전화번호
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
053-563-1025
38 
053-558-8310
4 
053-710-7785
 
3
053-562-9630
 
2
053-663-2533
 
2

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st row053-563-1025
2nd row053-563-1025
3rd row053-563-1025
4th row053-563-1025
5th row053-563-1025

Common Values

ValueCountFrequency (%)
053-563-1025 38
76.0%
053-558-8310 4
 
8.0%
053-710-7785 3
 
6.0%
053-562-9630 2
 
4.0%
053-663-2533 2
 
4.0%
053-527-5830 1
 
2.0%

Length

2024-04-21T10:59:29.692453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:59:29.790900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
053-563-1025 38
76.0%
053-558-8310 4
 
8.0%
053-710-7785 3
 
6.0%
053-562-9630 2
 
4.0%
053-663-2533 2
 
4.0%
053-527-5830 1
 
2.0%

인원(명)
Real number (ℝ)

Distinct36
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.18
Minimum8
Maximum380
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-21T10:59:29.928986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile10.8
Q120
median42
Q384.25
95-th percentile251.65
Maximum380
Range372
Interquartile range (IQR)64.25

Descriptive statistics

Standard deviation79.065638
Coefficient of variation (CV)1.1107845
Kurtosis4.5600296
Mean71.18
Median Absolute Deviation (MAD)27
Skewness2.0954761
Sum3559
Variance6251.3751
MonotonicityNot monotonic
2024-04-21T10:59:30.090295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
15 3
 
6.0%
20 3
 
6.0%
40 3
 
6.0%
14 2
 
4.0%
30 2
 
4.0%
13 2
 
4.0%
9 2
 
4.0%
85 2
 
4.0%
50 2
 
4.0%
45 2
 
4.0%
Other values (26) 27
54.0%
ValueCountFrequency (%)
8 1
 
2.0%
9 2
4.0%
13 2
4.0%
14 2
4.0%
15 3
6.0%
17 1
 
2.0%
20 3
6.0%
22 2
4.0%
23 1
 
2.0%
27 1
 
2.0%
ValueCountFrequency (%)
380 1
2.0%
262 1
2.0%
253 1
2.0%
250 1
2.0%
190 1
2.0%
175 1
2.0%
165 1
2.0%
130 1
2.0%
120 1
2.0%
110 1
2.0%

사업주요활동내용
Text

Distinct43
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-04-21T10:59:30.371397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length26
Mean length19.76
Min length7

Characters and Unicode

Total characters988
Distinct characters189
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)82.0%

Sample

1st row보안문서 문서수거 및 파쇄작업
2nd row택배물량을 수령하여 직접세대 배송
3rd row떡 제조 및 판매
4th row음식 매장운영
5th row방한용품 및 자동차 부품 조립
ValueCountFrequency (%)
및 29
 
11.5%
지원 11
 
4.4%
프로그램 8
 
3.2%
가정 5
 
2.0%
정리정돈 5
 
2.0%
운영보조 5
 
2.0%
독거노인 5
 
2.0%
안부확인 5
 
2.0%
방문 5
 
2.0%
말벗 5
 
2.0%
Other values (145) 169
67.1%
2024-04-21T10:59:30.856534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
224
 
22.7%
지 34
 
3.4%
및 29
 
2.9%
정 22
 
2.2%
인 19
 
1.9%
원 18
 
1.8%
안 16
 
1.6%
보 15
 
1.5%
서 12
 
1.2%
방 12
 
1.2%
Other values (179) 587
59.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 749
75.8%
Space Separator 224
 
22.7%
Other Punctuation 11
 
1.1%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 34
 
4.5%
및 29
 
3.9%
정 22
 
2.9%
인 19
 
2.5%
원 18
 
2.4%
안 16
 
2.1%
보 15
 
2.0%
서 12
 
1.6%
방 12
 
1.6%
시 11
 
1.5%
Other values (175) 561
74.9%
Space Separator
ValueCountFrequency (%)
224
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 749
75.8%
Common 239
 
24.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 34
 
4.5%
및 29
 
3.9%
정 22
 
2.9%
인 19
 
2.5%
원 18
 
2.4%
안 16
 
2.1%
보 15
 
2.0%
서 12
 
1.6%
방 12
 
1.6%
시 11
 
1.5%
Other values (175) 561
74.9%
Common
ValueCountFrequency (%)
224
93.7%
, 11
 
4.6%
) 2
 
0.8%
( 2
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 749
75.8%
ASCII 239
 
24.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
224
93.7%
, 11
 
4.6%
) 2
 
0.8%
( 2
 
0.8%
Hangul
ValueCountFrequency (%)
지 34
 
4.5%
및 29
 
3.9%
정 22
 
2.9%
인 19
 
2.5%
원 18
 
2.4%
안 16
 
2.1%
보 15
 
2.0%
서 12
 
1.6%
방 12
 
1.6%
시 11
 
1.5%
Other values (175) 561
74.9%

사업시작일
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-01-01
50 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-01
2nd row2024-01-01
3rd row2024-01-01
4th row2024-01-01
5th row2024-01-01

Common Values

ValueCountFrequency (%)
2024-01-01 50
100.0%

Length

2024-04-21T10:59:30.983851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:59:31.075451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-01 50
100.0%

사업종료일
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-12-31
50 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-12-31
2nd row2024-12-31
3rd row2024-12-31
4th row2024-12-31
5th row2024-12-31

Common Values

ValueCountFrequency (%)
2024-12-31 50
100.0%

Length

2024-04-21T10:59:31.168934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:59:31.271141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-12-31 50
100.0%

구군명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
대구 서구
50 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구 서구
2nd row대구 서구
3rd row대구 서구
4th row대구 서구
5th row대구 서구

Common Values

ValueCountFrequency (%)
대구 서구 50
100.0%

Length

2024-04-21T10:59:31.373741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:59:31.461461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구 50
50.0%
서구 50
50.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-04-16
50 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-04-16
2nd row2024-04-16
3rd row2024-04-16
4th row2024-04-16
5th row2024-04-16

Common Values

ValueCountFrequency (%)
2024-04-16 50
100.0%

Length

2024-04-21T10:59:31.563726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:59:31.669266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-04-16 50
100.0%

Interactions

2024-04-21T10:59:28.250030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T10:59:31.735933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수행기관사업명사업구분전화번호인원(명)사업주요활동내용
수행기관1.0000.0000.0001.0000.4680.000
사업명0.0001.0001.0000.0000.6421.000
사업구분0.0001.0001.0000.0000.3501.000
전화번호1.0000.0000.0001.0000.4680.000
인원(명)0.4680.6420.3500.4681.0000.000
사업주요활동내용0.0001.0001.0000.0000.0001.000
2024-04-21T10:59:31.843931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업구분전화번호수행기관
사업구분1.0000.0000.000
전화번호0.0001.0001.000
수행기관0.0001.0001.000
2024-04-21T10:59:31.937235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인원(명)수행기관사업구분전화번호
인원(명)1.0000.2940.2350.294
수행기관0.2941.0000.0001.000
사업구분0.2350.0001.0000.000
전화번호0.2941.0000.0001.000

Missing values

2024-04-21T10:59:28.429204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:59:28.566740image/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

수행기관사업명사업구분전화번호인원(명)사업주요활동내용사업시작일사업종료일구군명데이터기준일자
0서구시니어클럽시니어문서파쇄재활용사업시장형053-563-102514보안문서 문서수거 및 파쇄작업2024-01-012024-12-31대구 서구2024-04-16
1서구시니어클럽SG시니어택배사업시장형053-563-102514택배물량을 수령하여 직접세대 배송2024-01-012024-12-31대구 서구2024-04-16
2서구시니어클럽행복떡방시장형053-563-102513떡 제조 및 판매2024-01-012024-12-31대구 서구2024-04-16
3서구시니어클럽행복소반시장형053-563-102515음식 매장운영2024-01-012024-12-31대구 서구2024-04-16
4서구시니어클럽하하호호일터시장형053-563-102523방한용품 및 자동차 부품 조립2024-01-012024-12-31대구 서구2024-04-16
5서구시니어클럽UP사이클센터일터시장형053-563-102515업사이클 소재 가공 및 상품 제작( 가방,인형)2024-01-012024-12-31대구 서구2024-04-16
6서구시니어클럽시니어서비스맨시장형053-563-10258스타벅스 통행안전 무단횡단 금지 및 보행 안내2024-01-012024-12-31대구 서구2024-04-16
7서구시니어클럽서구백세그린시장형053-563-102520취약주택 방역소독, 청소 지원2024-01-012024-12-31대구 서구2024-04-16
8서구시니어클럽시니어차량안전지도사시장형053-563-102522보육시설 어린이 통학차량 안전지도2024-01-012024-12-31대구 서구2024-04-16
9서구시니어클럽유치원지원도우미(신규)시장형053-563-102540유치원 프로그램 운영 보조 및 정리정돈 지원2024-01-012024-12-31대구 서구2024-04-16
수행기관사업명사업구분전화번호인원(명)사업주요활동내용사업시작일사업종료일구군명데이터기준일자
40서구노인복지관공공시설봉사(녹지시설봉사)공익활동053-558-831040녹지공원 환경 미화2024-01-012024-12-31대구 서구2024-04-16
41서구노인복지관공공시설봉사(환경개선봉사(신규))공익활동053-558-831030가로수 등 환경개선 및 생태환경 정화 지원2024-01-012024-12-31대구 서구2024-04-16
42내당노인복지관노노케어공익활동053-562-963070독거노인 가정 방문 안부확인 말벗2024-01-012024-12-31대구 서구2024-04-16
43내당노인복지관공공시설봉사(복지시설봉사)공익활동053-562-963075노인복지시설 프로그램 운영보조 및 정리정돈2024-01-012024-12-31대구 서구2024-04-16
44비원노인복지관노노케어공익활동053-710-778520독거노인 가정 방문 안부확인 말벗2024-01-012024-12-31대구 서구2024-04-16
45비원노인복지관공공시설봉사(복지시설봉사)공익활동053-710-778585노인복지시설 프로그램 운영보조 및 정리정돈2024-01-012024-12-31대구 서구2024-04-16
46비원노인복지관공공시설봉사(녹지시설봉사)공익활동053-710-778540녹지공원 환경 미화 지원2024-01-012024-12-31대구 서구2024-04-16
47평안교회 부설 노인 복지센터노노케어공익활동053-527-583044독거노인 가정 방문 안부확인 말벗2024-01-012024-12-31대구 서구2024-04-16
48서구청공원 및 체육시설 안전지킴이공익활동053-663-2533250공원시설물 점검 및 위험물 제거 및 정비2024-01-012024-12-31대구 서구2024-04-16
49서구청환경지킴이공익활동053-663-2533380관내 주택가 불법투기쓰레기 및 불법광고물 게첨 환경 지원2024-01-012024-12-31대구 서구2024-04-16