Overview

Dataset statistics

Number of variables9
Number of observations111
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.2 KiB
Average record size in memory75.2 B

Variable types

DateTime3
Text2
Categorical2
Numeric2

Dataset

Description대구교통공사 영화무료시사회 현황으로 영화명, 장르, 상영관, 응모장소, 시작일-종료일 및 무료시사회 초청인원 및 응모인원 데이터를 제공하고 있습니다.
Author대구교통공사
URLhttps://www.data.go.kr/data/15044940/fileData.do

Alerts

일 정 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:06:07.980247
Analysis finished2023-12-12 13:06:09.015340
Duration1.04 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일 정
Date

UNIQUE 

Distinct111
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1020.0 B
Minimum2011-08-09 00:00:00
Maximum2020-01-16 00:00:00
2023-12-12T22:06:09.081283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:06:09.237997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영 화 명
Text

Distinct110
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2023-12-12T22:06:09.552993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length5.2792793
Min length1

Characters and Unicode

Total characters586
Distinct characters260
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique109 ?
Unique (%)98.2%

Sample

1st row개구장이 스머프(애니메이션 3D)
2nd row통증
3rd row카운트다운
4th row프랜즈 위드 베네핏
5th row커플즈
ValueCountFrequency (%)
메이즈러너 2
 
1.3%
내 2
 
1.3%
순정 1
 
0.6%
아이들의 1
 
0.6%
집 1
 
0.6%
검은 1
 
0.6%
사제들 1
 
0.6%
마스터 1
 
0.6%
사우스포 1
 
0.6%
오빠생각 1
 
0.6%
Other values (146) 146
92.4%
2023-12-12T22:06:10.059561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
47
 
8.0%
이 28
 
4.8%
스 24
 
4.1%
의 13
 
2.2%
라 9
 
1.5%
시 8
 
1.4%
사 6
 
1.0%
자 6
 
1.0%
터 6
 
1.0%
고 6
 
1.0%
Other values (250) 433
73.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 516
88.1%
Space Separator 47
 
8.0%
Decimal Number 10
 
1.7%
Other Punctuation 6
 
1.0%
Open Punctuation 2
 
0.3%
Close Punctuation 2
 
0.3%
Uppercase Letter 2
 
0.3%
Connector Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 28
 
5.4%
스 24
 
4.7%
의 13
 
2.5%
라 9
 
1.7%
시 8
 
1.6%
사 6
 
1.2%
자 6
 
1.2%
터 6
 
1.2%
고 6
 
1.2%
트 6
 
1.2%
Other values (236) 404
78.3%
Decimal Number
ValueCountFrequency (%)
4 3
30.0%
3 2
20.0%
9 2
20.0%
2 1
 
10.0%
5 1
 
10.0%
1 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
: 3
50.0%
, 3
50.0%
Uppercase Letter
ValueCountFrequency (%)
X 1
50.0%
D 1
50.0%
Space Separator
ValueCountFrequency (%)
47
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 516
88.1%
Common 68
 
11.6%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 28
 
5.4%
스 24
 
4.7%
의 13
 
2.5%
라 9
 
1.7%
시 8
 
1.6%
사 6
 
1.2%
자 6
 
1.2%
터 6
 
1.2%
고 6
 
1.2%
트 6
 
1.2%
Other values (236) 404
78.3%
Common
ValueCountFrequency (%)
47
69.1%
: 3
 
4.4%
, 3
 
4.4%
4 3
 
4.4%
( 2
 
2.9%
) 2
 
2.9%
3 2
 
2.9%
9 2
 
2.9%
2 1
 
1.5%
5 1
 
1.5%
Other values (2) 2
 
2.9%
Latin
ValueCountFrequency (%)
X 1
50.0%
D 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 516
88.1%
ASCII 70
 
11.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
47
67.1%
: 3
 
4.3%
, 3
 
4.3%
4 3
 
4.3%
( 2
 
2.9%
) 2
 
2.9%
3 2
 
2.9%
9 2
 
2.9%
2 1
 
1.4%
5 1
 
1.4%
Other values (4) 4
 
5.7%
Hangul
ValueCountFrequency (%)
이 28
 
5.4%
스 24
 
4.7%
의 13
 
2.5%
라 9
 
1.7%
시 8
 
1.6%
사 6
 
1.2%
자 6
 
1.2%
터 6
 
1.2%
고 6
 
1.2%
트 6
 
1.2%
Other values (236) 404
78.3%

장 르
Categorical

Distinct44
Distinct (%)39.6%
Missing0
Missing (%)0.0%
Memory size1020.0 B
드라마
21 
코미디
12 
애니메이션
7 
멜로,로맨스
7 
액션,슬릴러
 
5
Other values (39)
59 

Length

Max length11
Median length10
Mean length5.027027
Min length2

Unique

Unique26 ?
Unique (%)23.4%

Sample

1st row애니메이션
2nd row멜로,로맨스
3rd row액션,슬릴러
4th row멜로,로맨스
5th row멜로,로맨스

Common Values

ValueCountFrequency (%)
드라마 21
18.9%
코미디 12
 
10.8%
애니메이션 7
 
6.3%
멜로,로맨스 7
 
6.3%
액션,슬릴러 5
 
4.5%
액션,드라마 5
 
4.5%
액션,범죄,드라마 3
 
2.7%
판타지 3
 
2.7%
액션 3
 
2.7%
스릴러 3
 
2.7%
Other values (34) 42
37.8%

Length

2023-12-12T22:06:10.275447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
드라마 21
18.1%
코미디 14
 
12.1%
애니메이션 7
 
6.0%
멜로,로맨스 7
 
6.0%
액션,슬릴러 5
 
4.3%
액션,드라마 5
 
4.3%
액션 5
 
4.3%
판타지 4
 
3.4%
액션,범죄,드라마 3
 
2.6%
스릴러 3
 
2.6%
Other values (33) 42
36.2%

상 영 관
Categorical

Distinct13
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Memory size1020.0 B
롯데시네마동성로관
21 
롯데시네마성서관
18 
롯데시네마율하관
17 
롯데시네마 동성로관
10 
롯데시네마 율하관
8 
Other values (8)
37 

Length

Max length10
Median length9
Mean length8.6036036
Min length6

Unique

Unique2 ?
Unique (%)1.8%

Sample

1st row롯데시네마 동성로관
2nd row롯데시네마 동성로관
3rd row롯데시네마 대구관
4th row롯데시네마 율하관
5th row롯데시네마 성서관

Common Values

ValueCountFrequency (%)
롯데시네마동성로관 21
18.9%
롯데시네마성서관 18
16.2%
롯데시네마율하관 17
15.3%
롯데시네마 동성로관 10
9.0%
롯데시네마 율하관 8
 
7.2%
롯데시네마 성서관 8
 
7.2%
롯데시네마대구관 7
 
6.3%
롯데시네마상인관 7
 
6.3%
롯데시네마 대구관 6
 
5.4%
롯데시네마광장관 4
 
3.6%
Other values (3) 5
 
4.5%

Length

2023-12-12T22:06:10.418494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
롯데시네마 32
22.4%
롯데시네마동성로관 21
14.7%
롯데시네마성서관 18
12.6%
롯데시네마율하관 17
11.9%
동성로관 10
 
7.0%
율하관 8
 
5.6%
성서관 8
 
5.6%
롯데시네마대구관 7
 
4.9%
롯데시네마상인관 7
 
4.9%
대구관 6
 
4.2%
Other values (4) 9
 
6.3%

응모장소
Text

Distinct98
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2023-12-12T22:06:10.614920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length24
Mean length15.081081
Min length7

Characters and Unicode

Total characters1674
Distinct characters85
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

Unique90 ?
Unique (%)81.1%

Sample

1st row반월당,중앙로
2nd row반월당,중앙로
3rd row반월당,중앙로
4th row반월당,중앙로
5th row반월당,중앙로
ValueCountFrequency (%)
반월당,중앙로 6
 
5.4%
중앙로,반월당,용산,진천 3
 
2.7%
중앙로,반월당,대구,경대병원 2
 
1.8%
중앙로,반월당,계명대,상인 2
 
1.8%
중앙로,반월당,각산,사월 2
 
1.8%
중앙로,반월당,진천,용산 2
 
1.8%
중앙로,반월당,상인,범어 2
 
1.8%
중앙로,반월당,각산,신매 2
 
1.8%
반월당,중앙로,큰고개,신매,신남(3 1
 
0.9%
반월당,중앙로,아양교,두류,만평 1
 
0.9%
Other values (88) 88
79.3%
2023-12-12T22:06:10.966663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 357
21.3%
월 122
 
7.3%
당 112
 
6.7%
반 109
 
6.5%
중 109
 
6.5%
앙 109
 
6.5%
로 109
 
6.5%
대 60
 
3.6%
신 31
 
1.9%
명 25
 
1.5%
Other values (75) 531
31.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1246
74.4%
Other Punctuation 358
 
21.4%
Close Punctuation 24
 
1.4%
Open Punctuation 23
 
1.4%
Decimal Number 23
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
월 122
 
9.8%
당 112
 
9.0%
반 109
 
8.7%
중 109
 
8.7%
앙 109
 
8.7%
로 109
 
8.7%
대 60
 
4.8%
신 31
 
2.5%
명 25
 
2.0%
구 24
 
1.9%
Other values (68) 436
35.0%
Decimal Number
ValueCountFrequency (%)
3 13
56.5%
2 7
30.4%
1 3
 
13.0%
Other Punctuation
ValueCountFrequency (%)
, 357
99.7%
. 1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1246
74.4%
Common 428
 
25.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
월 122
 
9.8%
당 112
 
9.0%
반 109
 
8.7%
중 109
 
8.7%
앙 109
 
8.7%
로 109
 
8.7%
대 60
 
4.8%
신 31
 
2.5%
명 25
 
2.0%
구 24
 
1.9%
Other values (68) 436
35.0%
Common
ValueCountFrequency (%)
, 357
83.4%
) 24
 
5.6%
( 23
 
5.4%
3 13
 
3.0%
2 7
 
1.6%
1 3
 
0.7%
. 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1246
74.4%
ASCII 428
 
25.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 357
83.4%
) 24
 
5.6%
( 23
 
5.4%
3 13
 
3.0%
2 7
 
1.6%
1 3
 
0.7%
. 1
 
0.2%
Hangul
ValueCountFrequency (%)
월 122
 
9.8%
당 112
 
9.0%
반 109
 
8.7%
중 109
 
8.7%
앙 109
 
8.7%
로 109
 
8.7%
대 60
 
4.8%
신 31
 
2.5%
명 25
 
2.0%
구 24
 
1.9%
Other values (68) 436
35.0%

시작일
Date

Distinct108
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size1020.0 B
Minimum2011-07-22 00:00:00
Maximum2019-12-31 00:00:00
2023-12-12T22:06:11.109911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:06:11.254585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

종료일
Date

Distinct109
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size1020.0 B
Minimum2011-08-03 00:00:00
Maximum2020-01-07 00:00:00
2023-12-12T22:06:11.423327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:06:11.562764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

응모인원
Real number (ℝ)

Distinct109
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1685.2883
Minimum133
Maximum9496
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T22:06:11.737089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum133
5-th percentile764
Q11161.5
median1430
Q31953.5
95-th percentile3270.5
Maximum9496
Range9363
Interquartile range (IQR)792

Descriptive statistics

Standard deviation1073.2913
Coefficient of variation (CV)0.6368592
Kurtosis26.221343
Mean1685.2883
Median Absolute Deviation (MAD)349
Skewness4.1582686
Sum187067
Variance1151954.3
MonotonicityNot monotonic
2023-12-12T22:06:11.882606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1137 2
 
1.8%
1410 2
 
1.8%
1282 1
 
0.9%
1537 1
 
0.9%
1725 1
 
0.9%
2533 1
 
0.9%
1233 1
 
0.9%
2265 1
 
0.9%
1779 1
 
0.9%
1387 1
 
0.9%
Other values (99) 99
89.2%
ValueCountFrequency (%)
133 1
0.9%
331 1
0.9%
365 1
0.9%
658 1
0.9%
733 1
0.9%
735 1
0.9%
793 1
0.9%
809 1
0.9%
854 1
0.9%
882 1
0.9%
ValueCountFrequency (%)
9496 1
0.9%
5644 1
0.9%
3683 1
0.9%
3564 1
0.9%
3383 1
0.9%
3368 1
0.9%
3173 1
0.9%
3147 1
0.9%
3103 1
0.9%
2737 1
0.9%

초청인원
Real number (ℝ)

Distinct6
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean352.52252
Minimum300
Maximum400
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T22:06:11.996158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum300
5-th percentile300
Q1340
median370
Q3380
95-th percentile380
Maximum400
Range100
Interquartile range (IQR)40

Descriptive statistics

Standard deviation31.549916
Coefficient of variation (CV)0.08949759
Kurtosis-0.92290015
Mean352.52252
Median Absolute Deviation (MAD)10
Skewness-0.75830641
Sum39130
Variance995.39722
MonotonicityNot monotonic
2023-12-12T22:06:12.092449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
380 35
31.5%
300 25
22.5%
370 25
22.5%
340 12
 
10.8%
350 12
 
10.8%
400 2
 
1.8%
ValueCountFrequency (%)
300 25
22.5%
340 12
 
10.8%
350 12
 
10.8%
370 25
22.5%
380 35
31.5%
400 2
 
1.8%
ValueCountFrequency (%)
400 2
 
1.8%
380 35
31.5%
370 25
22.5%
350 12
 
10.8%
340 12
 
10.8%
300 25
22.5%

Interactions

2023-12-12T22:06:08.669988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:06:08.519396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:06:08.742105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:06:08.587229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:06:12.181396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장 르상 영 관응모장소응모인원초청인원
장 르1.0000.0000.9680.7050.264
상 영 관0.0001.0000.9390.0000.414
응모장소0.9680.9391.0000.9530.000
응모인원0.7050.0000.9531.0000.441
초청인원0.2640.4140.0000.4411.000
2023-12-12T22:06:12.274380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상 영 관장 르
상 영 관1.0000.000
장 르0.0001.000
2023-12-12T22:06:12.357806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
응모인원초청인원장 르상 영 관
응모인원1.0000.0760.3080.000
초청인원0.0761.0000.3050.316
장 르0.3080.3051.0000.000
상 영 관0.0000.3160.0001.000

Missing values

2023-12-12T22:06:08.839527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:06:08.972094image/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

일 정영 화 명장 르상 영 관응모장소시작일종료일응모인원초청인원
02011-08-09개구장이 스머프(애니메이션 3D)애니메이션롯데시네마 동성로관반월당,중앙로2011-07-222011-08-031282300
12011-09-06통증멜로,로맨스롯데시네마 동성로관반월당,중앙로2011-08-262011-09-011011300
22011-09-27카운트다운액션,슬릴러롯데시네마 대구관반월당,중앙로2011-09-152011-09-211263300
32011-10-25프랜즈 위드 베네핏멜로,로맨스롯데시네마 율하관반월당,중앙로2011-10-132011-10-19922300
42011-11-01커플즈멜로,로맨스롯데시네마 성서관반월당,중앙로2011-10-202011-10-261162300
52011-11-22아더크리스마스애니메이션롯데시네마 동성로관반월당,중앙로2011-11-092011-11-151059300
62012-01-17페이스메이커드라마롯데시네마 대구관반월당,중앙로,대구2012-02-272012-03-051828300
72012-01-31하이힐을 신고 달리는 여자코미디롯데시네마 율하관반월당,중앙로,율하2012-01-192012-01-25733300
82012-02-21언더월드4판타지롯데시네마 성서관반월당,상인,중앙로,용산,계명대2012-02-082012-02-142737300
92012-03-13서약멜로,로맨스롯데시네마 동성로관반월당,중앙로,교대,두류,경대병원2012-02-272012-03-051532300
일 정영 화 명장 르상 영 관응모장소시작일종료일응모인원초청인원
1012018-04-24당갈드라마롯데시네마율하관반월당,중앙로,신천,사월,명덕2018-04-172018-04-20331380
1022018-07-11스카이스크래퍼드라마,액션롯데시네마상인관반월당,중앙로,상인,범어,범물2018-06-282018-07-031230380
1032018-09-12물괴서사,드라마롯데시네마광장관반월당,중앙로,교대,계명대,팔거2018-08-272018-09-041741380
1042018-11-02완벽한 타인코미디,드라마롯데시네마동성로관반월당,중앙로,대구,경대병원,만평2018-10-192018-10-25989380
1052019-01-05말모이드라마롯데시네마성서관반월당,중앙로,명덕(1),두류,신남(3)2018-12-172018-12-24133380
1062019-02-22칠곡가시나다큐멘터리롯데시네마동성로관반월당(2),중앙로,명덕(1),청라언덕(2),범물2019-02-142019-02-18365380
1072019-05-24고질라액션,모험롯데시네마율하관반월당(2),중앙로,율하,사월,명덕(3)2019-05-152019-05-20658380
1082019-06-20기방도령코미디롯데시네마상인관반월당(2),중앙로,상인,용산,팔거2019-06-052019-06-111662380
1092019-07-30엑시트코미디롯데시네마광장관반월당(2),중앙로,서부정류장,대구은행,만평2019-07-162019-07-231138380
1102020-01-16미스터 주코미디롯데시네마성서관반월당(2),중앙로역,영대병원역,계명대역,청라언덕역(3)2019-12-312020-01-071161380