Overview

Dataset statistics

Number of variables10
Number of observations10000
Missing cells10031
Missing cells (%)10.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory878.9 KiB
Average record size in memory90.0 B

Variable types

Categorical4
Text3
Numeric2
DateTime1

Dataset

Description23~25 공공데이터 중장기 개방계획에 따른 아산시콜센터시스템 내 설문결과에 대한 테이블자료로 설문문항, 설문문항답변, 답변일시 등의 내용을 포함합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=16&beforeMenuCd=DOM_000000201001001000&publicdatapk=15122372

Alerts

설문문항번호 is highly overall correlated with 설문문항_내용 and 1 other fieldsHigh correlation
설문문항_내용 is highly overall correlated with 설문문항번호 and 1 other fieldsHigh correlation
설문문항_선택값 is highly overall correlated with 설문문항_선택순서 and 1 other fieldsHigh correlation
설문문항_선택순서 is highly overall correlated with 설문문항_선택값 and 1 other fieldsHigh correlation
설문문항_선택명 is highly overall correlated with 설문문항_선택값 and 3 other fieldsHigh correlation
설문문항_답변내용 has 9969 (99.7%) missing valuesMissing
설문문항답변_번호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 20:16:17.226700
Analysis finished2024-01-09 20:16:18.814569
Duration1.59 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

설문지번호
Categorical

Distinct28
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
SUR202004147811692
2851 
SUR202110255500336
687 
SUR202108034306351
652 
SUR202010210394927
606 
SUR202104132686999
606 
Other values (23)
4598 

Length

Max length18
Median length18
Mean length18
Min length18

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSUR202004147811692
2nd rowSUR202010220404348
3rd rowSUR202004147811692
4th rowSUR202104292908678
5th rowSUR202004147811692

Common Values

ValueCountFrequency (%)
SUR202004147811692 2851
28.5%
SUR202110255500336 687
 
6.9%
SUR202108034306351 652
 
6.5%
SUR202010210394927 606
 
6.1%
SUR202104132686999 606
 
6.1%
SUR202204047741548 571
 
5.7%
SUR202208029298132 554
 
5.5%
SUR202304042259621 539
 
5.4%
SUR202304242509254 381
 
3.8%
SUR202107093895868 371
 
3.7%
Other values (18) 2182
21.8%

Length

2024-01-10T05:16:18.868326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
sur202004147811692 2851
28.5%
sur202110255500336 687
 
6.9%
sur202108034306351 652
 
6.5%
sur202010210394927 606
 
6.1%
sur202104132686999 606
 
6.1%
sur202204047741548 571
 
5.7%
sur202208029298132 554
 
5.5%
sur202304042259621 539
 
5.4%
sur202304242509254 381
 
3.8%
sur202107093895868 371
 
3.7%
Other values (18) 2182
21.8%

설문문항번호
Categorical

HIGH CORRELATION 

Distinct29
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
SUI201807190838552
1475 
SUI201807190838567
1376 
QS142528679551300053Z
660 
QS142528651671400174Z
648 
QS142528679551300072Z
624 
Other values (24)
5217 

Length

Max length21
Median length18
Mean length18.9369
Min length18

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st rowSUI201807190838567
2nd rowSUI201906114296636
3rd rowSUI201807190838552
4th rowSUI201906114296644
5th rowSUI201807190838567

Common Values

ValueCountFrequency (%)
SUI201807190838552 1475
14.8%
SUI201807190838567 1376
13.8%
QS142528679551300053Z 660
 
6.6%
QS142528651671400174Z 648
 
6.5%
QS142528679551300072Z 624
 
6.2%
QS142528651671400042Z 597
 
6.0%
QS142528651671400192Z 594
 
5.9%
SUI201906114296661 429
 
4.3%
SUI201906114296636 412
 
4.1%
SUI201906114296685 411
 
4.1%
Other values (19) 2774
27.7%

Length

2024-01-10T05:16:18.973440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
sui201807190838552 1475
14.8%
sui201807190838567 1376
13.8%
qs142528679551300053z 660
 
6.6%
qs142528651671400174z 648
 
6.5%
qs142528679551300072z 624
 
6.2%
qs142528651671400042z 597
 
6.0%
qs142528651671400192z 594
 
5.9%
sui201906114296661 429
 
4.3%
sui201906114296636 412
 
4.1%
sui201906114296685 411
 
4.1%
Other values (19) 2774
27.7%

설문문항_내용
Categorical

HIGH CORRELATION 

Distinct29
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
고객님께서 요청하신 민원처리결과에 대해 전반적으로 어느 정도 만족하십니까?
1475 
민원접수 당일(민원접수시간 야간,휴일 확인 후)에 업무담당자로 부터 민원처리에 대한 안내전화를 받으셨습니까?
1376 
선생님의 문의사항에 대해 정확한 정보를 제공 받으셨습니까? (정확성)
660 
상담사가 알아듣기 쉽고 이해하기 쉽게 설명을 잘 해 주었습니까?(전문성)
648 
지금까지 평가하신 모든 사항을 고려하였을때 "아산시콜센터" 전반에 대해 얼마나 만족하셨습니까?(전반성)
624 
Other values (24)
5217 

Length

Max length77
Median length56
Mean length42.3205
Min length6

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row민원접수 당일(민원접수시간 야간,휴일 확인 후)에 업무담당자로 부터 민원처리에 대한 안내전화를 받으셨습니까?
2nd row선생님께서 수강하는 강좌 전반에 얼마나 만족하고 계십니까?
3rd row고객님께서 요청하신 민원처리결과에 대해 전반적으로 어느 정도 만족하십니까?
4th row선생님께서 수강하는 프로그램 강사의 교육 방법 및 전문성에 얼마나 만족하고 계십니까?
5th row민원접수 당일(민원접수시간 야간,휴일 확인 후)에 업무담당자로 부터 민원처리에 대한 안내전화를 받으셨습니까?

Common Values

ValueCountFrequency (%)
고객님께서 요청하신 민원처리결과에 대해 전반적으로 어느 정도 만족하십니까? 1475
14.8%
민원접수 당일(민원접수시간 야간,휴일 확인 후)에 업무담당자로 부터 민원처리에 대한 안내전화를 받으셨습니까? 1376
13.8%
선생님의 문의사항에 대해 정확한 정보를 제공 받으셨습니까? (정확성) 660
 
6.6%
상담사가 알아듣기 쉽고 이해하기 쉽게 설명을 잘 해 주었습니까?(전문성) 648
 
6.5%
지금까지 평가하신 모든 사항을 고려하였을때 "아산시콜센터" 전반에 대해 얼마나 만족하셨습니까?(전반성) 624
 
6.2%
상담사와 통화시 상담사의 친절함에 대해 어느 정도 만족하십니까? (친절성) 597
 
6.0%
선생님의 문의 내용에 대해 신속하게 처리 되었습니까? (신속성) 594
 
5.9%
선생님께서 선호하는 학습 운영방식은 무엇입니까?(복수 응답 가능) 429
 
4.3%
선생님께서 수강하는 강좌 전반에 얼마나 만족하고 계십니까? 412
 
4.1%
선생님께서 선호하는 학습 유형은 무엇입니까? 411
 
4.1%
Other values (19) 2774
27.7%

Length

2024-01-10T05:16:19.097363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대해 4739
 
5.6%
어느 2651
 
3.1%
정도 2651
 
3.1%
만족하십니까 2476
 
2.9%
받으셨습니까 2036
 
2.4%
대한 1779
 
2.1%
전반적으로 1651
 
1.9%
선생님께서 1644
 
1.9%
민원처리에 1552
 
1.8%
고객님께서 1475
 
1.7%
Other values (149) 62445
73.4%

설문문항선택_번호
Text

Distinct93
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-10T05:16:19.299399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length18.9059
Min length8

Characters and Unicode

Total characters189059
Distinct characters18
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)0.1%

Sample

1st rowSQC201807190838887
2nd rowSQC201906114296637
3rd rowSQC201807190838555
4th rowSQC201906114296645
5th rowSQC201807190838890
ValueCountFrequency (%)
sqc201807190838887 1031
 
10.3%
sqc201807190838555 667
 
6.7%
qs142528679551300054z 546
 
5.5%
sqc201807190838554 528
 
5.3%
qs142528651671400175z 500
 
5.0%
qs142528679551300073z 500
 
5.0%
qs142528651671400139z 491
 
4.9%
qs142528651671400193z 483
 
4.8%
sqc201906114296637 277
 
2.8%
sqc201906114296645 276
 
2.8%
Other values (83) 4701
47.0%
2024-01-10T05:16:19.715215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 27265
14.4%
0 26041
13.8%
8 21317
11.3%
2 17837
9.4%
6 14889
7.9%
5 13393
7.1%
7 11564
6.1%
9 10069
 
5.3%
S 10000
 
5.3%
Q 9969
 
5.3%
Other values (8) 26715
14.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 158904
84.0%
Uppercase Letter 30155
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 27265
17.2%
0 26041
16.4%
8 21317
13.4%
2 17837
11.2%
6 14889
9.4%
5 13393
8.4%
7 11564
7.3%
9 10069
 
6.3%
4 9448
 
5.9%
3 7081
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
S 10000
33.2%
Q 9969
33.1%
C 6877
22.8%
Z 3123
 
10.4%
N 62
 
0.2%
T 62
 
0.2%
O 31
 
0.1%
E 31
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 158904
84.0%
Latin 30155
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 27265
17.2%
0 26041
16.4%
8 21317
13.4%
2 17837
11.2%
6 14889
9.4%
5 13393
8.4%
7 11564
7.3%
9 10069
 
6.3%
4 9448
 
5.9%
3 7081
 
4.5%
Latin
ValueCountFrequency (%)
S 10000
33.2%
Q 9969
33.1%
C 6877
22.8%
Z 3123
 
10.4%
N 62
 
0.2%
T 62
 
0.2%
O 31
 
0.1%
E 31
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 189059
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 27265
14.4%
0 26041
13.8%
8 21317
11.3%
2 17837
9.4%
6 14889
7.9%
5 13393
7.1%
7 11564
6.1%
9 10069
 
5.3%
S 10000
 
5.3%
Q 9969
 
5.3%
Other values (8) 26715
14.1%

설문문항_선택명
Categorical

HIGH CORRELATION 

Distinct35
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
매우만족
5292 
만족
1630 
당일
1031 
보통
 
252
연락받지 못함
 
223
Other values (30)
1572 

Length

Max length17
Median length4
Mean length4.0678
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row당일
2nd row매우만족
3rd row만족
4th row매우만족
5th row연락받지 못함

Common Values

ValueCountFrequency (%)
매우만족 5292
52.9%
만족 1630
 
16.3%
당일 1031
 
10.3%
보통 252
 
2.5%
연락받지 못함 223
 
2.2%
토론 또는 워크숍 방식의 교육 212
 
2.1%
건강, 심리 159
 
1.6%
평생학습관 홈페이지 130
 
1.3%
이론 위주의 교육 120
 
1.2%
교양, 취미 118
 
1.2%
Other values (25) 833
 
8.3%

Length

2024-01-10T05:16:19.852215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
매우만족 5292
43.1%
만족 1630
 
13.3%
당일 1031
 
8.4%
교육 420
 
3.4%
보통 252
 
2.1%
연락받지 223
 
1.8%
못함 223
 
1.8%
토론 212
 
1.7%
또는 212
 
1.7%
워크숍 212
 
1.7%
Other values (44) 2583
21.0%

설문문항_선택값
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)0.1%
Missing31
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean1.5632461
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T05:16:19.967644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.96197641
Coefficient of variation (CV)0.61537107
Kurtosis2.4716105
Mean1.5632461
Median Absolute Deviation (MAD)0
Skewness1.8058114
Sum15584
Variance0.92539861
MonotonicityNot monotonic
2024-01-10T05:16:20.071540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 6644
66.4%
2 1986
 
19.9%
4 667
 
6.7%
3 531
 
5.3%
5 139
 
1.4%
6 2
 
< 0.1%
(Missing) 31
 
0.3%
ValueCountFrequency (%)
1 6644
66.4%
2 1986
 
19.9%
3 531
 
5.3%
4 667
 
6.7%
5 139
 
1.4%
6 2
 
< 0.1%
ValueCountFrequency (%)
6 2
 
< 0.1%
5 139
 
1.4%
4 667
 
6.7%
3 531
 
5.3%
2 1986
 
19.9%
1 6644
66.4%

설문문항_선택순서
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)0.1%
Missing31
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean1.5632461
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T05:16:20.166667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.96197641
Coefficient of variation (CV)0.61537107
Kurtosis2.4716105
Mean1.5632461
Median Absolute Deviation (MAD)0
Skewness1.8058114
Sum15584
Variance0.92539861
MonotonicityNot monotonic
2024-01-10T05:16:20.282928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 6644
66.4%
2 1986
 
19.9%
4 667
 
6.7%
3 531
 
5.3%
5 139
 
1.4%
6 2
 
< 0.1%
(Missing) 31
 
0.3%
ValueCountFrequency (%)
1 6644
66.4%
2 1986
 
19.9%
3 531
 
5.3%
4 667
 
6.7%
5 139
 
1.4%
6 2
 
< 0.1%
ValueCountFrequency (%)
6 2
 
< 0.1%
5 139
 
1.4%
4 667
 
6.7%
3 531
 
5.3%
2 1986
 
19.9%
1 6644
66.4%

설문문항답변_번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-10T05:16:20.479062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters180000
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st rowSVA202103222391469
2nd rowSVA202010280476030
3rd rowSVA202209239943402
4th rowSVA202105123081787
5th rowSVA202306083032381
ValueCountFrequency (%)
sva202103222391469 1
 
< 0.1%
sva202111105713272 1
 
< 0.1%
sva202204077795657 1
 
< 0.1%
sva202203227566705 1
 
< 0.1%
sva202305082670225 1
 
< 0.1%
sva202104122669488 1
 
< 0.1%
sva202207229148321 1
 
< 0.1%
sva202105042976251 1
 
< 0.1%
sva202104142703088 1
 
< 0.1%
sva202108054338273 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-01-10T05:16:20.794176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 34780
19.3%
0 31284
17.4%
1 18538
10.3%
3 12196
 
6.8%
4 10992
 
6.1%
S 10000
 
5.6%
V 10000
 
5.6%
A 10000
 
5.6%
5 9096
 
5.1%
7 8748
 
4.9%
Other values (3) 24366
13.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 150000
83.3%
Uppercase Letter 30000
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 34780
23.2%
0 31284
20.9%
1 18538
12.4%
3 12196
 
8.1%
4 10992
 
7.3%
5 9096
 
6.1%
7 8748
 
5.8%
8 8356
 
5.6%
6 8169
 
5.4%
9 7841
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
S 10000
33.3%
V 10000
33.3%
A 10000
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 150000
83.3%
Latin 30000
 
16.7%

Most frequent character per script

Common
ValueCountFrequency (%)
2 34780
23.2%
0 31284
20.9%
1 18538
12.4%
3 12196
 
8.1%
4 10992
 
7.3%
5 9096
 
6.1%
7 8748
 
5.8%
8 8356
 
5.6%
6 8169
 
5.4%
9 7841
 
5.2%
Latin
ValueCountFrequency (%)
S 10000
33.3%
V 10000
33.3%
A 10000
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 180000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 34780
19.3%
0 31284
17.4%
1 18538
10.3%
3 12196
 
6.8%
4 10992
 
6.1%
S 10000
 
5.6%
V 10000
 
5.6%
A 10000
 
5.6%
5 9096
 
5.1%
7 8748
 
4.9%
Other values (3) 24366
13.5%

설문문항_답변일시
Date

Distinct6797
Distinct (%)68.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2020-10-13 16:19:00
Maximum2023-08-30 15:48:00
2024-01-10T05:16:20.926670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:16:21.036759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

설문문항_답변내용
Text

MISSING 

Distinct22
Distinct (%)71.0%
Missing9969
Missing (%)99.7%
Memory size156.2 KiB
2024-01-10T05:16:21.281146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length146
Median length66
Mean length33.032258
Min length1

Characters and Unicode

Total characters1024
Distinct characters229
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)67.7%

Sample

1st row분위기가 자연스럽지 못하고 다소 딱딱한 부분이었습니다.
2nd row약속은 했는데 결과가 좋아야한다고 생각됨.
3rd row만남의날 운영시간대가 민원인과는 맞지 않았었음 / 민원인 욕심으로는 더 강요하고 요구하고 싶었지만 적당히 타협했다고 함
4th row없음/ 본인이 면담을 신청한게 아니라서 신청방법의 편리성은 잘 모르겠음(*보통이라고 답변하시며 알려주셨습니다)
5th row접수된내용만 확인하지말고 추가적으로 물어보는 질문에도 답변을 해주면좋겠음.
ValueCountFrequency (%)
없음 12
 
5.5%
시간이 5
 
2.3%
바람 3
 
1.4%
함 2
 
0.9%
아닌 2
 
0.9%
잘 2
 
0.9%
2
 
0.9%
사람도 2
 
0.9%
면담을 2
 
0.9%
있는 2
 
0.9%
Other values (183) 185
84.5%
2024-01-10T05:16:21.654180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
193
 
18.8%
이 29
 
2.8%
다 25
 
2.4%
고 21
 
2.1%
하 21
 
2.1%
음 20
 
2.0%
시 19
 
1.9%
. 18
 
1.8%
는 17
 
1.7%
지 17
 
1.7%
Other values (219) 644
62.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 784
76.6%
Space Separator 193
 
18.8%
Other Punctuation 33
 
3.2%
Decimal Number 8
 
0.8%
Close Punctuation 3
 
0.3%
Open Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 29
 
3.7%
다 25
 
3.2%
고 21
 
2.7%
하 21
 
2.7%
음 20
 
2.6%
시 19
 
2.4%
는 17
 
2.2%
지 17
 
2.2%
없 16
 
2.0%
사 12
 
1.5%
Other values (207) 587
74.9%
Other Punctuation
ValueCountFrequency (%)
. 18
54.5%
, 9
27.3%
/ 3
 
9.1%
' 2
 
6.1%
* 1
 
3.0%
Decimal Number
ValueCountFrequency (%)
1 3
37.5%
3 2
25.0%
0 2
25.0%
2 1
 
12.5%
Space Separator
ValueCountFrequency (%)
193
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 784
76.6%
Common 240
 
23.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 29
 
3.7%
다 25
 
3.2%
고 21
 
2.7%
하 21
 
2.7%
음 20
 
2.6%
시 19
 
2.4%
는 17
 
2.2%
지 17
 
2.2%
없 16
 
2.0%
사 12
 
1.5%
Other values (207) 587
74.9%
Common
ValueCountFrequency (%)
193
80.4%
. 18
 
7.5%
, 9
 
3.8%
) 3
 
1.2%
( 3
 
1.2%
1 3
 
1.2%
/ 3
 
1.2%
3 2
 
0.8%
0 2
 
0.8%
' 2
 
0.8%
Other values (2) 2
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 783
76.5%
ASCII 240
 
23.4%
Compat Jamo 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
193
80.4%
. 18
 
7.5%
, 9
 
3.8%
) 3
 
1.2%
( 3
 
1.2%
1 3
 
1.2%
/ 3
 
1.2%
3 2
 
0.8%
0 2
 
0.8%
' 2
 
0.8%
Other values (2) 2
 
0.8%
Hangul
ValueCountFrequency (%)
이 29
 
3.7%
다 25
 
3.2%
고 21
 
2.7%
하 21
 
2.7%
음 20
 
2.6%
시 19
 
2.4%
는 17
 
2.2%
지 17
 
2.2%
없 16
 
2.0%
사 12
 
1.5%
Other values (206) 586
74.8%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1
100.0%

Interactions

2024-01-10T05:16:18.304523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:16:18.166521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:16:18.386225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:16:18.234610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:16:21.744691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설문지번호설문문항번호설문문항_내용설문문항선택_번호설문문항_선택명설문문항_선택값설문문항_선택순서설문문항_답변내용
설문지번호1.0000.9030.9030.9240.8510.4370.4370.972
설문문항번호0.9031.0001.0000.9990.9400.6180.6181.000
설문문항_내용0.9031.0001.0000.9990.9400.6180.6181.000
설문문항선택_번호0.9240.9990.9991.0001.0001.0001.000NaN
설문문항_선택명0.8510.9400.9401.0001.0001.0001.000NaN
설문문항_선택값0.4370.6180.6181.0001.0001.0001.000NaN
설문문항_선택순서0.4370.6180.6181.0001.0001.0001.000NaN
설문문항_답변내용0.9721.0001.000NaNNaNNaNNaN1.000
2024-01-10T05:16:21.892564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설문지번호설문문항번호설문문항_내용설문문항_선택명
설문지번호1.0000.4450.4450.351
설문문항번호0.4451.0001.0000.536
설문문항_내용0.4451.0001.0000.536
설문문항_선택명0.3510.5360.5361.000
2024-01-10T05:16:21.991639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설문문항_선택값설문문항_선택순서설문지번호설문문항번호설문문항_내용설문문항_선택명
설문문항_선택값1.0001.0000.2110.3330.3330.999
설문문항_선택순서1.0001.0000.2110.3330.3330.999
설문지번호0.2110.2111.0000.4450.4450.351
설문문항번호0.3330.3330.4451.0001.0000.536
설문문항_내용0.3330.3330.4451.0001.0000.536
설문문항_선택명0.9990.9990.3510.5360.5361.000

Missing values

2024-01-10T05:16:18.512556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:16:18.641398image/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.
2024-01-10T05:16:18.752911image/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

설문지번호설문문항번호설문문항_내용설문문항선택_번호설문문항_선택명설문문항_선택값설문문항_선택순서설문문항답변_번호설문문항_답변일시설문문항_답변내용
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51120SUR202010220404348SUI201906114296636선생님께서 수강하는 강좌 전반에 얼마나 만족하고 계십니까?SQC201906114296637매우만족11SVA2020102804760302020-10-28 10:28<NA>
10672SUR202004147811692SUI201807190838552고객님께서 요청하신 민원처리결과에 대해 전반적으로 어느 정도 만족하십니까?SQC201807190838555만족22SVA2022092399434022022-09-23 15:36<NA>
39950SUR202104292908678SUI201906114296644선생님께서 수강하는 프로그램 강사의 교육 방법 및 전문성에 얼마나 만족하고 계십니까?SQC201906114296645매우만족11SVA2021051230817872021-05-12 15:24<NA>
2012SUR202004147811692SUI201807190838567민원접수 당일(민원접수시간 야간,휴일 확인 후)에 업무담당자로 부터 민원처리에 대한 안내전화를 받으셨습니까?SQC201807190838890연락받지 못함44SVA2023060830323812023-06-08 15:39<NA>
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설문지번호설문문항번호설문문항_내용설문문항선택_번호설문문항_선택명설문문항_선택값설문문항_선택순서설문문항답변_번호설문문항_답변일시설문문항_답변내용
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23965SUR202004147811692SUI201807190838567민원접수 당일(민원접수시간 야간,휴일 확인 후)에 업무담당자로 부터 민원처리에 대한 안내전화를 받으셨습니까?SQC201807190838887당일11SVA2021112458788332021-11-24 10:42<NA>
2520SUR202004147811692SUI201807190838567민원접수 당일(민원접수시간 야간,휴일 확인 후)에 업무담당자로 부터 민원처리에 대한 안내전화를 받으셨습니까?SQC201807190838887당일11SVA2023051828050952023-05-18 15:04<NA>
38142SUR202105123082879SUI201810181768680(적극성) 담당 공무원이 적극적으로 민원을 처리하였습니까?SQC201810181768684매우만족11SVA2021053133462442021-05-31 15:12<NA>
47574SUR202010210394927SUI201810181768692(편익성) 민원실 공간의 쾌적성에 대해 어느 정도 만족 하십니까?SQC201810181768693매우만족11SVA2020111206579322020-11-12 11:25<NA>
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29760SUR202108034306351QS142528679551300072Z지금까지 평가하신 모든 사항을 고려하였을때 "아산시콜센터" 전반에 대해 얼마나 만족하셨습니까?(전반성)QS142528679551300076Z만족22SVA2021081244477572021-08-12 15:10<NA>
6313SUR202304042259621QS142528651671400174Z상담사가 알아듣기 쉽고 이해하기 쉽게 설명을 잘 해 주었습니까?(전문성)QS142528651671400175Z매우만족11SVA2023041123547512023-04-11 16:50<NA>
23801SUR202004147811692SUI201807190838552고객님께서 요청하신 민원처리결과에 대해 전반적으로 어느 정도 만족하십니까?SQC201807190838555만족22SVA2021120960677182021-12-09 10:08<NA>