Overview

Dataset statistics

Number of variables7
Number of observations26
Missing cells15
Missing cells (%)8.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory63.1 B

Variable types

Numeric2
Text3
Categorical2

Dataset

Description일자리 센터 방문이 어려운 시민 및 구인 기업을 위하여 찾아가는 취업 상담 제공 - 구 직 자 : 이동 취업 상담실 운영을 통해 구직 서류 작성, 면접 기법 ,직업 상담, 취업 정보 제공 및 알선 등 실질적인 취업 컨설팅을 제공 - 구인 기업 : 기업의 인재상을 파악 후 취업 서류를 대신 접수하고 제공하여 기업 맞춤형 인재를 추천
Author대전광역시
URLhttps://www.data.go.kr/data/15078317/fileData.do

Alerts

이벤트명 is highly overall correlated with 이벤트 참여실적High correlation
이벤트 참여실적 is highly overall correlated with 이벤트명High correlation
연번 has 1 (3.8%) missing valuesMissing
장소 has 1 (3.8%) missing valuesMissing
구직신청 건수 has 1 (3.8%) missing valuesMissing
기타상담 건수 has 1 (3.8%) missing valuesMissing
행사명 has 11 (42.3%) missing valuesMissing
구직신청 건수 has 6 (23.1%) zerosZeros

Reproduction

Analysis started2023-12-12 10:01:53.390412
Analysis finished2023-12-12 10:01:54.853252
Duration1.46 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)100.0%
Missing1
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean13
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T19:01:54.914722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.2
Q17
median13
Q319
95-th percentile23.8
Maximum25
Range24
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.3598007
Coefficient of variation (CV)0.56613852
Kurtosis-1.2
Mean13
Median Absolute Deviation (MAD)6
Skewness0
Sum325
Variance54.166667
MonotonicityStrictly increasing
2023-12-12T19:01:55.052827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 1
 
3.8%
2 1
 
3.8%
25 1
 
3.8%
24 1
 
3.8%
23 1
 
3.8%
22 1
 
3.8%
21 1
 
3.8%
20 1
 
3.8%
19 1
 
3.8%
18 1
 
3.8%
Other values (15) 15
57.7%
ValueCountFrequency (%)
1 1
3.8%
2 1
3.8%
3 1
3.8%
4 1
3.8%
5 1
3.8%
6 1
3.8%
7 1
3.8%
8 1
3.8%
9 1
3.8%
10 1
3.8%
ValueCountFrequency (%)
25 1
3.8%
24 1
3.8%
23 1
3.8%
22 1
3.8%
21 1
3.8%
20 1
3.8%
19 1
3.8%
18 1
3.8%
17 1
3.8%
16 1
3.8%

장소
Text

MISSING 

Distinct19
Distinct (%)76.0%
Missing1
Missing (%)3.8%
Memory size340.0 B
2023-12-12T19:01:55.290576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13
Mean length8.52
Min length4

Characters and Unicode

Total characters213
Distinct characters70
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

Unique15 ?
Unique (%)60.0%

Sample

1st row배재대학교
2nd row중부대학교
3rd row대전컨벤션센터
4th row한밭대학교
5th row우송대학교
ValueCountFrequency (%)
도로교통공단 3
 
9.4%
도로교통공단대전세종충남지부 3
 
9.4%
대전보건대학교 2
 
6.2%
직무박람회 2
 
6.2%
예람인재교육원 2
 
6.2%
우송대학교 2
 
6.2%
중부대학교 1
 
3.1%
송림마을4단지아파트 1
 
3.1%
목원대학교 1
 
3.1%
사회복지융합관앞 1
 
3.1%
Other values (14) 14
43.8%
2023-12-12T19:01:55.669280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 18
 
8.5%
대 17
 
8.0%
학 10
 
4.7%
단 9
 
4.2%
8
 
3.8%
지 7
 
3.3%
전 7
 
3.3%
로 6
 
2.8%
도 6
 
2.8%
공 6
 
2.8%
Other values (60) 119
55.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 202
94.8%
Space Separator 8
 
3.8%
Decimal Number 3
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 18
 
8.9%
대 17
 
8.4%
학 10
 
5.0%
단 9
 
4.5%
지 7
 
3.5%
전 7
 
3.5%
로 6
 
3.0%
도 6
 
3.0%
공 6
 
3.0%
통 6
 
3.0%
Other values (58) 110
54.5%
Space Separator
ValueCountFrequency (%)
8
100.0%
Decimal Number
ValueCountFrequency (%)
4 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 202
94.8%
Common 11
 
5.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 18
 
8.9%
대 17
 
8.4%
학 10
 
5.0%
단 9
 
4.5%
지 7
 
3.5%
전 7
 
3.5%
로 6
 
3.0%
도 6
 
3.0%
공 6
 
3.0%
통 6
 
3.0%
Other values (58) 110
54.5%
Common
ValueCountFrequency (%)
8
72.7%
4 3
 
27.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 202
94.8%
ASCII 11
 
5.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 18
 
8.9%
대 17
 
8.4%
학 10
 
5.0%
단 9
 
4.5%
지 7
 
3.5%
전 7
 
3.5%
로 6
 
3.0%
도 6
 
3.0%
공 6
 
3.0%
통 6
 
3.0%
Other values (58) 110
54.5%
ASCII
ValueCountFrequency (%)
8
72.7%
4 3
 
27.3%

구직신청 건수
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)60.0%
Missing1
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean6.32
Minimum0
Maximum27
Zeros6
Zeros (%)23.1%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T19:01:55.801250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q38
95-th percentile20.6
Maximum27
Range27
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7.0988262
Coefficient of variation (CV)1.123232
Kurtosis2.1753908
Mean6.32
Median Absolute Deviation (MAD)4
Skewness1.5106326
Sum158
Variance50.393333
MonotonicityNot monotonic
2023-12-12T19:01:55.932225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 6
23.1%
8 3
11.5%
2 2
 
7.7%
4 2
 
7.7%
1 2
 
7.7%
7 1
 
3.8%
27 1
 
3.8%
6 1
 
3.8%
22 1
 
3.8%
14 1
 
3.8%
Other values (5) 5
19.2%
ValueCountFrequency (%)
0 6
23.1%
1 2
 
7.7%
2 2
 
7.7%
3 1
 
3.8%
4 2
 
7.7%
5 1
 
3.8%
6 1
 
3.8%
7 1
 
3.8%
8 3
11.5%
10 1
 
3.8%
ValueCountFrequency (%)
27 1
 
3.8%
22 1
 
3.8%
15 1
 
3.8%
14 1
 
3.8%
11 1
 
3.8%
10 1
 
3.8%
8 3
11.5%
7 1
 
3.8%
6 1
 
3.8%
5 1
 
3.8%

기타상담 건수
Text

MISSING 

Distinct17
Distinct (%)68.0%
Missing1
Missing (%)3.8%
Memory size340.0 B
2023-12-12T19:01:56.105344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length1.68
Min length1

Characters and Unicode

Total characters42
Distinct characters12
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

Unique13 ?
Unique (%)52.0%

Sample

1st row130
2nd row22
3rd row75
4th row24
5th row15
ValueCountFrequency (%)
7 4
16.0%
15 3
12.0%
0 3
12.0%
10 2
 
8.0%
8 1
 
4.0%
4 1
 
4.0%
2 1
 
4.0%
17 1
 
4.0%
32 1
 
4.0%
130 1
 
4.0%
Other values (7) 7
28.0%
2023-12-12T19:01:56.458555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 7
16.7%
5 7
16.7%
7 6
14.3%
0 6
14.3%
2 6
14.3%
4 2
 
4.8%
8 2
 
4.8%
3 2
 
4.8%
해 1
 
2.4%
당 1
 
2.4%
Other values (2) 2
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 38
90.5%
Other Letter 4
 
9.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 7
18.4%
5 7
18.4%
7 6
15.8%
0 6
15.8%
2 6
15.8%
4 2
 
5.3%
8 2
 
5.3%
3 2
 
5.3%
Other Letter
ValueCountFrequency (%)
해 1
25.0%
당 1
25.0%
없 1
25.0%
음 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 38
90.5%
Hangul 4
 
9.5%

Most frequent character per script

Common
ValueCountFrequency (%)
1 7
18.4%
5 7
18.4%
7 6
15.8%
0 6
15.8%
2 6
15.8%
4 2
 
5.3%
8 2
 
5.3%
3 2
 
5.3%
Hangul
ValueCountFrequency (%)
해 1
25.0%
당 1
25.0%
없 1
25.0%
음 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 38
90.5%
Hangul 4
 
9.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 7
18.4%
5 7
18.4%
7 6
15.8%
0 6
15.8%
2 6
15.8%
4 2
 
5.3%
8 2
 
5.3%
3 2
 
5.3%
Hangul
ValueCountFrequency (%)
해 1
25.0%
당 1
25.0%
없 1
25.0%
음 1
25.0%

이벤트명
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Memory size340.0 B
미진행
19 
지문적성검사, 캘리그라피
3 
지문적성검사, 캘리그라피, 취업타로
 
1
취업타로
 
1
캘리그라피, 네일아트
 
1

Length

Max length19
Median length3
Mean length5.1538462
Min length3

Unique

Unique4 ?
Unique (%)15.4%

Sample

1st row지문적성검사, 캘리그라피
2nd row지문적성검사, 캘리그라피
3rd row미진행
4th row미진행
5th row지문적성검사, 캘리그라피, 취업타로

Common Values

ValueCountFrequency (%)
미진행 19
73.1%
지문적성검사, 캘리그라피 3
 
11.5%
지문적성검사, 캘리그라피, 취업타로 1
 
3.8%
취업타로 1
 
3.8%
캘리그라피, 네일아트 1
 
3.8%
<NA> 1
 
3.8%

Length

2023-12-12T19:01:56.719407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:01:56.922882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미진행 19
59.4%
캘리그라피 5
 
15.6%
지문적성검사 4
 
12.5%
취업타로 2
 
6.2%
네일아트 1
 
3.1%
na 1
 
3.1%

이벤트 참여실적
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)30.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
해당없음
19 
84
 
1
97
 
1
75
 
1
40
 
1
Other values (3)
3 

Length

Max length4
Median length4
Mean length3.5384615
Min length2

Unique

Unique7 ?
Unique (%)26.9%

Sample

1st row84
2nd row97
3rd row해당없음
4th row해당없음
5th row75

Common Values

ValueCountFrequency (%)
해당없음 19
73.1%
84 1
 
3.8%
97 1
 
3.8%
75 1
 
3.8%
40 1
 
3.8%
29 1
 
3.8%
32 1
 
3.8%
<NA> 1
 
3.8%

Length

2023-12-12T19:01:57.140064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:01:57.296783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 19
73.1%
84 1
 
3.8%
97 1
 
3.8%
75 1
 
3.8%
40 1
 
3.8%
29 1
 
3.8%
32 1
 
3.8%
na 1
 
3.8%

행사명
Text

MISSING 

Distinct13
Distinct (%)86.7%
Missing11
Missing (%)42.3%
Memory size340.0 B
2023-12-12T19:01:57.521639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length16
Mean length14.333333
Min length4

Characters and Unicode

Total characters215
Distinct characters96
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

Unique11 ?
Unique (%)73.3%

Sample

1st row배재대학교 직무콘서트
2nd row중부대학교 취업주간행사
3rd row2019실패박람회 in 대전
4th row직무채용박람회
5th row학생경력개발센터 취업지원 행사
ValueCountFrequency (%)
대전보건대학교 2
 
5.3%
해외취업 2
 
5.3%
hit산학협력직무박람회 2
 
5.3%
콘서트 2
 
5.3%
행사 2
 
5.3%
알아가는 2
 
5.3%
백전백승 2
 
5.3%
지피지기 2
 
5.3%
청년고용정책 1
 
2.6%
2022년 1
 
2.6%
Other values (20) 20
52.6%
2023-12-12T19:01:57.924103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24
 
11.2%
대 9
 
4.2%
전 7
 
3.3%
학 7
 
3.3%
박 5
 
2.3%
지 5
 
2.3%
회 5
 
2.3%
람 5
 
2.3%
업 5
 
2.3%
취 5
 
2.3%
Other values (86) 138
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 166
77.2%
Space Separator 24
 
11.2%
Decimal Number 11
 
5.1%
Uppercase Letter 10
 
4.7%
Lowercase Letter 4
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 9
 
5.4%
전 7
 
4.2%
학 7
 
4.2%
박 5
 
3.0%
지 5
 
3.0%
회 5
 
3.0%
람 5
 
3.0%
업 5
 
3.0%
취 5
 
3.0%
교 4
 
2.4%
Other values (67) 109
65.7%
Decimal Number
ValueCountFrequency (%)
2 4
36.4%
0 2
18.2%
3 1
 
9.1%
6 1
 
9.1%
5 1
 
9.1%
1 1
 
9.1%
9 1
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
H 2
20.0%
I 2
20.0%
T 2
20.0%
J 1
10.0%
N 1
10.0%
E 1
10.0%
W 1
10.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
25.0%
o 1
25.0%
i 1
25.0%
n 1
25.0%
Space Separator
ValueCountFrequency (%)
24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 166
77.2%
Common 35
 
16.3%
Latin 14
 
6.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 9
 
5.4%
전 7
 
4.2%
학 7
 
4.2%
박 5
 
3.0%
지 5
 
3.0%
회 5
 
3.0%
람 5
 
3.0%
업 5
 
3.0%
취 5
 
3.0%
교 4
 
2.4%
Other values (67) 109
65.7%
Latin
ValueCountFrequency (%)
H 2
14.3%
I 2
14.3%
T 2
14.3%
b 1
7.1%
o 1
7.1%
J 1
7.1%
N 1
7.1%
E 1
7.1%
W 1
7.1%
i 1
7.1%
Common
ValueCountFrequency (%)
24
68.6%
2 4
 
11.4%
0 2
 
5.7%
3 1
 
2.9%
6 1
 
2.9%
5 1
 
2.9%
1 1
 
2.9%
9 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 166
77.2%
ASCII 49
 
22.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24
49.0%
2 4
 
8.2%
0 2
 
4.1%
H 2
 
4.1%
I 2
 
4.1%
T 2
 
4.1%
b 1
 
2.0%
o 1
 
2.0%
J 1
 
2.0%
N 1
 
2.0%
Other values (9) 9
 
18.4%
Hangul
ValueCountFrequency (%)
대 9
 
5.4%
전 7
 
4.2%
학 7
 
4.2%
박 5
 
3.0%
지 5
 
3.0%
회 5
 
3.0%
람 5
 
3.0%
업 5
 
3.0%
취 5
 
3.0%
교 4
 
2.4%
Other values (67) 109
65.7%

Interactions

2023-12-12T19:01:53.872018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:01:53.719325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:01:54.269688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:01:53.791395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:01:58.057613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번장소구직신청 건수기타상담 건수이벤트명이벤트 참여실적행사명
연번1.0000.9610.3870.7440.6660.1251.000
장소0.9611.0000.8310.9631.0001.0001.000
구직신청 건수0.3870.8311.0000.0000.0000.0000.860
기타상담 건수0.7440.9630.0001.0000.8880.9490.967
이벤트명0.6661.0000.0000.8881.0001.0001.000
이벤트 참여실적0.1251.0000.0000.9491.0001.0001.000
행사명1.0001.0000.8600.9671.0001.0001.000
2023-12-12T19:01:58.188181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
이벤트명이벤트 참여실적
이벤트명1.0000.949
이벤트 참여실적0.9491.000
2023-12-12T19:01:58.307005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구직신청 건수이벤트명이벤트 참여실적
연번1.0000.2280.2630.000
구직신청 건수0.2281.0000.0000.000
이벤트명0.2630.0001.0000.949
이벤트 참여실적0.0000.0000.9491.000

Missing values

2023-12-12T19:01:54.395888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:01:54.539114image/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.
2023-12-12T19:01:54.745555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번장소구직신청 건수기타상담 건수이벤트명이벤트 참여실적행사명
01배재대학교7130지문적성검사, 캘리그라피84배재대학교 직무콘서트
12중부대학교022지문적성검사, 캘리그라피97중부대학교 취업주간행사
23대전컨벤션센터275미진행해당없음2019실패박람회 in 대전
34한밭대학교024미진행해당없음직무채용박람회
45우송대학교415지문적성검사, 캘리그라피, 취업타로75학생경력개발센터 취업지원 행사
56대전시청2715미진행해당없음대전여성취창업박람회
67송림마을4단지6해당없음미진행해당없음해당없음
78한남대학교458지문적성검사, 캘리그라피40한남커리어데이 행사
89조이마루025미진행해당없음대전과 친구하Job
910도로교통공단대전세종충남지부810미진행해당없음<NA>
연번장소구직신청 건수기타상담 건수이벤트명이벤트 참여실적행사명
1617한밭체육관148미진행해당없음일자리 NEW 365 매칭데이
1718우송대학교 서캠퍼스 사회복지융합관앞132취업타로29<NA>
1819예람인재교육원150미진행해당없음지피지기 백전백승 알아가는 해외취업 콘서트
1920예람인재교육원80미진행해당없음지피지기 백전백승 알아가는 해외취업 콘서트
2021목원대학교017캘리그라피, 네일아트322022년 청년고용정책 탐구생활
2122송림마을4단지아파트112미진행해당없음<NA>
2223도로교통공단104미진행해당없음<NA>
2324도로교통공단510미진행해당없음<NA>
2425도로교통공단37미진행해당없음<NA>
25<NA><NA><NA><NA><NA><NA><NA>