Overview

Dataset statistics

Number of variables16
Number of observations77
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.1 KiB
Average record size in memory133.7 B

Variable types

Categorical12
Numeric4

Dataset

Description채널아이디,채널명,프로그램아이디,프로그램명,프로그램유형,진행자,프로그램URL,부제,표시이름,방송일,방송시간_HHMI,방송시간2_HHMI,방송길이,순번,오디오모드,프로그램설명
Author서울시미디어재단TBS
URLhttps://data.seoul.go.kr/dataList/OA-1243/S/1/datasetView.do

Alerts

채널아이디 has constant value ""Constant
채널명 has constant value ""Constant
프로그램유형 has constant value ""Constant
오디오모드 has constant value ""Constant
프로그램설명 has constant value ""Constant
표시이름 is highly overall correlated with 방송시간_HHMI and 7 other fieldsHigh correlation
프로그램아이디 is highly overall correlated with 방송시간_HHMI and 7 other fieldsHigh correlation
진행자 is highly overall correlated with 프로그램아이디 and 3 other fieldsHigh correlation
프로그램명 is highly overall correlated with 방송시간_HHMI and 7 other fieldsHigh correlation
방송시간_HHMI is highly overall correlated with 방송시간2_HHMI and 3 other fieldsHigh correlation
방송시간2_HHMI is highly overall correlated with 방송시간_HHMI and 3 other fieldsHigh correlation
방송길이 is highly overall correlated with 프로그램아이디 and 4 other fieldsHigh correlation
순번 is highly overall correlated with 프로그램아이디 and 2 other fieldsHigh correlation
프로그램URL is highly overall correlated with 방송길이 and 1 other fieldsHigh correlation
부제 is highly overall correlated with 방송길이 and 5 other fieldsHigh correlation
진행자 is highly imbalanced (90.0%)Imbalance
프로그램URL is highly imbalanced (71.9%)Imbalance

Reproduction

Analysis started2024-05-18 01:05:05.565916
Analysis finished2024-05-18 01:05:11.574262
Duration6.01 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

채널아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size748.0 B
CH_B
77 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
CH_B 77
100.0%

Length

2024-05-18T10:05:11.794771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:05:12.185068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ch_b 77
100.0%

채널명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size748.0 B
TV-CATV
77 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowTV-CATV
2nd rowTV-CATV
3rd rowTV-CATV
4th rowTV-CATV
5th rowTV-CATV

Common Values

ValueCountFrequency (%)
TV-CATV 77
100.0%

Length

2024-05-18T10:05:12.718049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:05:13.089082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
tv-catv 77
100.0%

프로그램아이디
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)16.9%
Missing0
Missing (%)0.0%
Memory size748.0 B
PG2062158B
22 
PG2061984B
10 
PG2062210B
8 
PG2060812B
5 
PG2062265B
5 
Other values (8)
27 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique1 ?
Unique (%)1.3%

Sample

1st rowPG2062135B
2nd rowPG2062210B
3rd rowPG2062210B
4th rowPG2062135B
5th rowPG2062210B

Common Values

ValueCountFrequency (%)
PG2062158B 22
28.6%
PG2061984B 10
13.0%
PG2062210B 8
 
10.4%
PG2060812B 5
 
6.5%
PG2062265B 5
 
6.5%
PG2062079B 5
 
6.5%
PG2062131B 5
 
6.5%
PG2062282B 4
 
5.2%
PG2062283B 4
 
5.2%
PG2062260B 4
 
5.2%
Other values (3) 5
 
6.5%

Length

2024-05-18T10:05:13.543299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
pg2062158b 22
28.6%
pg2061984b 10
13.0%
pg2062210b 8
 
10.4%
pg2060812b 5
 
6.5%
pg2062265b 5
 
6.5%
pg2062079b 5
 
6.5%
pg2062131b 5
 
6.5%
pg2062282b 4
 
5.2%
pg2062283b 4
 
5.2%
pg2062260b 4
 
5.2%
Other values (3) 5
 
6.5%

프로그램명
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)16.9%
Missing0
Missing (%)0.0%
Memory size748.0 B
오늘도 배움
22 
눈에 띄는 그녀들 시즌2
10 
비급고전
8 
공간사람
5 
(재) 서울라이트
5 
Other values (8)
27 

Length

Max length30
Median length13
Mean length10.623377
Min length2

Unique

Unique1 ?
Unique (%)1.3%

Sample

1st row흔적
2nd row비급고전
3rd row비급고전
4th row흔적
5th row비급고전

Common Values

ValueCountFrequency (%)
오늘도 배움 22
28.6%
눈에 띄는 그녀들 시즌2 10
13.0%
비급고전 8
 
10.4%
공간사람 5
 
6.5%
(재) 서울라이트 5
 
6.5%
(재) 우리동네 라이브 5
 
6.5%
휴먼다큐 마냥 이쁜 우리맘 5
 
6.5%
휴스턴국제영화제 2024 금상 수상 `마흔세살 오일팔` 4
 
5.2%
휴스턴국제영화제 2023은상 수상 `오일팔 증명사진관` 4
 
5.2%
다시 보는 TV책방 북소리 4
 
5.2%
Other values (3) 5
 
6.5%

Length

2024-05-18T10:05:13.960683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
오늘도 22
 
10.4%
배움 22
 
10.4%
눈에 10
 
4.7%
띄는 10
 
4.7%
그녀들 10
 
4.7%
시즌2 10
 
4.7%
재 10
 
4.7%
비급고전 8
 
3.8%
오일팔 8
 
3.8%
수상 8
 
3.8%
Other values (24) 93
44.1%

프로그램유형
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size748.0 B
방송프로그램
77 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
방송프로그램 77
100.0%

Length

2024-05-18T10:05:14.299387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:05:14.591800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방송프로그램 77
100.0%

진행자
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size748.0 B
*
76 
SC:심혜영
 
1

Length

Max length6
Median length1
Mean length1.0649351
Min length1

Unique

Unique1 ?
Unique (%)1.3%

Sample

1st row*
2nd row*
3rd row*
4th row*
5th row*

Common Values

ValueCountFrequency (%)
* 76
98.7%
SC:심혜영 1
 
1.3%

Length

2024-05-18T10:05:14.965983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:05:15.270948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
76
98.7%
sc:심혜영 1
 
1.3%

프로그램URL
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size748.0 B
<NA>
71 
http://www.tbs.seoul.kr/cont/tv/SpaceHuman/intro/intro.do?programId=PG2060812B
 
5
http://www.tbs.seoul.kr/cont/tv/Seoul_time/intro/intro.do?programId=PG2060621B
 
1

Length

Max length78
Median length4
Mean length9.7662338
Min length4

Unique

Unique1 ?
Unique (%)1.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 71
92.2%
http://www.tbs.seoul.kr/cont/tv/SpaceHuman/intro/intro.do?programId=PG2060812B 5
 
6.5%
http://www.tbs.seoul.kr/cont/tv/Seoul_time/intro/intro.do?programId=PG2060621B 1
 
1.3%

Length

2024-05-18T10:05:15.622941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:05:16.008045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 71
92.2%
http://www.tbs.seoul.kr/cont/tv/spacehuman/intro/intro.do?programid=pg2060812b 5
 
6.5%
http://www.tbs.seoul.kr/cont/tv/seoul_time/intro/intro.do?programid=pg2060621b 1
 
1.3%

부제
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)33.8%
Missing0
Missing (%)0.0%
Memory size748.0 B
30회
7 
29회
6 
26회
6 
27회
6 
28회
5 
Other values (21)
47 

Length

Max length31
Median length3
Mean length9.2987013
Min length2

Unique

Unique7 ?
Unique (%)9.1%

Sample

1st row2회 중랑 스테이 `망우역사문화공원`
2nd row26회
3rd row27회
4th row3회 부천 스테이 `문화 역사도시 부천`
5th row28회

Common Values

ValueCountFrequency (%)
30회 7
 
9.1%
29회 6
 
7.8%
26회 6
 
7.8%
27회 6
 
7.8%
28회 5
 
6.5%
(재) 서울라이트 11회(24_0515)_녹화본방 5
 
6.5%
(재) 65회(0517) 5
 
6.5%
휴스턴국제영화제 2024 금상 수상 `마흔세살 오일팔` 4
 
5.2%
휴스턴국제영화제 2023 은상 수상 `오일팔 증명사진관` 4
 
5.2%
6회 3
 
3.9%
Other values (16) 26
33.8%

Length

2024-05-18T10:05:16.309011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
재 10
 
6.4%
오일팔 8
 
5.1%
수상 8
 
5.1%
휴스턴국제영화제 8
 
5.1%
30회 7
 
4.5%
27회 6
 
3.8%
26회 6
 
3.8%
29회 6
 
3.8%
28회 5
 
3.2%
서울라이트 5
 
3.2%
Other values (34) 87
55.8%

표시이름
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)16.9%
Missing0
Missing (%)0.0%
Memory size748.0 B
오늘도 배움
22 
눈에 띄는 그녀들 시즌2
10 
비급고전
8 
공간사람
5 
(재) 서울라이트
5 
Other values (8)
27 

Length

Max length31
Median length14
Mean length10.675325
Min length2

Unique

Unique1 ?
Unique (%)1.3%

Sample

1st row흔적
2nd row비급고전
3rd row비급고전
4th row흔적
5th row비급고전

Common Values

ValueCountFrequency (%)
오늘도 배움 22
28.6%
눈에 띄는 그녀들 시즌2 10
13.0%
비급고전 8
 
10.4%
공간사람 5
 
6.5%
(재) 서울라이트 5
 
6.5%
(재) 우리동네 라이브 5
 
6.5%
휴먼다큐 마냥 이쁜 우리맘 5
 
6.5%
휴스턴국제영화제 2024 금상 수상 `마흔세살 오일팔` 4
 
5.2%
휴스턴국제영화제 2023 은상 수상 `오일팔 증명사진관` 4
 
5.2%
다시 보는 TV책방 북소리 4
 
5.2%
Other values (3) 5
 
6.5%

Length

2024-05-18T10:05:16.737477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
오늘도 22
 
10.2%
배움 22
 
10.2%
눈에 10
 
4.7%
띄는 10
 
4.7%
그녀들 10
 
4.7%
시즌2 10
 
4.7%
재 10
 
4.7%
비급고전 8
 
3.7%
오일팔 8
 
3.7%
수상 8
 
3.7%
Other values (25) 97
45.1%

방송일
Categorical

Distinct3
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size748.0 B
2024-05-18
36 
2024-05-19
33 
2024-05-20
8 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-05-19
2nd row2024-05-18
3rd row2024-05-18
4th row2024-05-19
5th row2024-05-18

Common Values

ValueCountFrequency (%)
2024-05-18 36
46.8%
2024-05-19 33
42.9%
2024-05-20 8
 
10.4%

Length

2024-05-18T10:05:17.101897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:05:17.413404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-05-18 36
46.8%
2024-05-19 33
42.9%
2024-05-20 8
 
10.4%

방송시간_HHMI
Real number (ℝ)

HIGH CORRELATION 

Distinct45
Distinct (%)58.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean997.01299
Minimum40
Maximum2240
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size825.0 B
2024-05-18T10:05:17.777347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile100
Q1400
median830
Q31640
95-th percentile2052
Maximum2240
Range2200
Interquartile range (IQR)1240

Descriptive statistics

Standard deviation705.58498
Coefficient of variation (CV)0.70769889
Kurtosis-1.3899301
Mean997.01299
Median Absolute Deviation (MAD)610
Skewness0.25961526
Sum76770
Variance497850.17
MonotonicityNot monotonic
2024-05-18T10:05:18.181725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
400 3
 
3.9%
220 3
 
3.9%
120 3
 
3.9%
40 3
 
3.9%
500 2
 
2.6%
2040 2
 
2.6%
1640 2
 
2.6%
1820 2
 
2.6%
1920 2
 
2.6%
1940 2
 
2.6%
Other values (35) 53
68.8%
ValueCountFrequency (%)
40 3
3.9%
100 2
2.6%
120 3
3.9%
140 2
2.6%
200 2
2.6%
220 3
3.9%
300 2
2.6%
320 1
 
1.3%
330 1
 
1.3%
400 3
3.9%
ValueCountFrequency (%)
2240 2
2.6%
2100 2
2.6%
2040 2
2.6%
2020 2
2.6%
2000 2
2.6%
1940 2
2.6%
1920 2
2.6%
1820 2
2.6%
1740 2
2.6%
1640 2
2.6%

방송시간2_HHMI
Real number (ℝ)

HIGH CORRELATION 

Distinct45
Distinct (%)58.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean997.01299
Minimum40
Maximum2240
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size825.0 B
2024-05-18T10:05:18.582253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile100
Q1400
median830
Q31640
95-th percentile2052
Maximum2240
Range2200
Interquartile range (IQR)1240

Descriptive statistics

Standard deviation705.58498
Coefficient of variation (CV)0.70769889
Kurtosis-1.3899301
Mean997.01299
Median Absolute Deviation (MAD)610
Skewness0.25961526
Sum76770
Variance497850.17
MonotonicityNot monotonic
2024-05-18T10:05:18.986960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
400 3
 
3.9%
220 3
 
3.9%
120 3
 
3.9%
40 3
 
3.9%
500 2
 
2.6%
2040 2
 
2.6%
1640 2
 
2.6%
1820 2
 
2.6%
1920 2
 
2.6%
1940 2
 
2.6%
Other values (35) 53
68.8%
ValueCountFrequency (%)
40 3
3.9%
100 2
2.6%
120 3
3.9%
140 2
2.6%
200 2
2.6%
220 3
3.9%
300 2
2.6%
320 1
 
1.3%
330 1
 
1.3%
400 3
3.9%
ValueCountFrequency (%)
2240 2
2.6%
2100 2
2.6%
2040 2
2.6%
2020 2
2.6%
2000 2
2.6%
1940 2
2.6%
1920 2
2.6%
1820 2
2.6%
1740 2
2.6%
1640 2
2.6%

방송길이
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.779221
Minimum10
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size825.0 B
2024-05-18T10:05:19.332008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile10
Q120
median30
Q360
95-th percentile104
Maximum120
Range110
Interquartile range (IQR)40

Descriptive statistics

Standard deviation28.505135
Coefficient of variation (CV)0.69901127
Kurtosis1.5880981
Mean40.779221
Median Absolute Deviation (MAD)10
Skewness1.4730316
Sum3140
Variance812.54272
MonotonicityNot monotonic
2024-05-18T10:05:19.669027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20 22
28.6%
30 18
23.4%
60 14
18.2%
40 7
 
9.1%
10 6
 
7.8%
100 4
 
5.2%
120 4
 
5.2%
50 2
 
2.6%
ValueCountFrequency (%)
10 6
 
7.8%
20 22
28.6%
30 18
23.4%
40 7
 
9.1%
50 2
 
2.6%
60 14
18.2%
100 4
 
5.2%
120 4
 
5.2%
ValueCountFrequency (%)
120 4
 
5.2%
100 4
 
5.2%
60 14
18.2%
50 2
 
2.6%
40 7
 
9.1%
30 18
23.4%
20 22
28.6%
10 6
 
7.8%

순번
Real number (ℝ)

HIGH CORRELATION 

Distinct45
Distinct (%)58.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1776.2338
Minimum500
Maximum2850
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size825.0 B
2024-05-18T10:05:20.030941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum500
5-th percentile590
Q11110
median1920
Q32520
95-th percentile2800
Maximum2850
Range2350
Interquartile range (IQR)1410

Descriptive statistics

Standard deviation752.97487
Coefficient of variation (CV)0.42391654
Kurtosis-1.2753619
Mean1776.2338
Median Absolute Deviation (MAD)610
Skewness-0.22435182
Sum136770
Variance566971.16
MonotonicityIncreasing
2024-05-18T10:05:20.436415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
2800 3
 
3.9%
2620 3
 
3.9%
2520 3
 
3.9%
2440 3
 
3.9%
500 2
 
2.6%
2040 2
 
2.6%
1640 2
 
2.6%
1820 2
 
2.6%
1920 2
 
2.6%
1940 2
 
2.6%
Other values (35) 53
68.8%
ValueCountFrequency (%)
500 2
2.6%
530 1
1.3%
550 1
1.3%
600 1
1.3%
630 1
1.3%
640 1
1.3%
700 1
1.3%
710 1
1.3%
730 1
1.3%
740 2
2.6%
ValueCountFrequency (%)
2850 1
 
1.3%
2830 1
 
1.3%
2810 1
 
1.3%
2800 3
3.9%
2730 1
 
1.3%
2720 1
 
1.3%
2700 2
2.6%
2620 3
3.9%
2600 2
2.6%
2540 2
2.6%

오디오모드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size748.0 B
STEREO
77 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
STEREO 77
100.0%

Length

2024-05-18T10:05:20.811235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:05:21.112792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
stereo 77
100.0%

프로그램설명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size748.0 B
*
77 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row*
2nd row*
3rd row*
4th row*
5th row*

Common Values

ValueCountFrequency (%)
* 77
100.0%

Length

2024-05-18T10:05:21.400801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:05:21.699313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
77
100.0%

Interactions

2024-05-18T10:05:09.808511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:05:07.138119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:05:08.064749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:05:08.982386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:05:09.944392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:05:07.373456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:05:08.291315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:05:09.211713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:05:10.077499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:05:07.603207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:05:08.520196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:05:09.442001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:05:10.228420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:05:07.839391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:05:08.755186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:05:09.666001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-18T10:05:21.900859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
프로그램아이디프로그램명진행자프로그램URL부제표시이름방송일방송시간_HHMI방송시간2_HHMI방송길이순번
프로그램아이디1.0001.0001.0000.0000.9981.0000.2270.8520.8521.0000.895
프로그램명1.0001.0001.0000.0000.9981.0000.2270.8520.8521.0000.895
진행자1.0001.0001.0000.0001.0001.0000.0000.0000.0000.0000.000
프로그램URL0.0000.0000.0001.0001.0000.0000.0000.0000.000NaN0.000
부제0.9980.9981.0001.0001.0000.9980.0000.8360.8360.9820.875
표시이름1.0001.0001.0000.0000.9981.0000.2270.8520.8521.0000.895
방송일0.2270.2270.0000.0000.0000.2271.0000.3300.3300.0000.302
방송시간_HHMI0.8520.8520.0000.0000.8360.8520.3301.0001.0000.7460.976
방송시간2_HHMI0.8520.8520.0000.0000.8360.8520.3301.0001.0000.7460.976
방송길이1.0001.0000.000NaN0.9821.0000.0000.7460.7461.0000.805
순번0.8950.8950.0000.0000.8750.8950.3020.9760.9760.8051.000
2024-05-18T10:05:22.429004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
프로그램URL표시이름부제프로그램아이디진행자방송일프로그램명
프로그램URL1.0000.0000.8660.0000.0000.0000.000
표시이름0.0001.0000.8091.0000.9240.1131.000
부제0.8660.8091.0000.8090.8250.0000.809
프로그램아이디0.0001.0000.8091.0000.9240.1131.000
진행자0.0000.9240.8250.9241.0000.0000.924
방송일0.0000.1130.0000.1130.0001.0000.113
프로그램명0.0001.0000.8091.0000.9240.1131.000
2024-05-18T10:05:22.748291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
방송시간_HHMI방송시간2_HHMI방송길이순번프로그램아이디프로그램명진행자프로그램URL부제표시이름방송일
방송시간_HHMI1.0001.0000.204-0.3160.5610.5610.0000.0000.4260.5610.196
방송시간2_HHMI1.0001.0000.204-0.3160.5610.5610.0000.0000.4260.5610.196
방송길이0.2040.2041.000-0.1930.9560.9560.0001.0000.7800.9560.000
순번-0.316-0.316-0.1931.0000.6490.6490.0000.0000.4740.6490.185
프로그램아이디0.5610.5610.9560.6491.0001.0000.9240.0000.8091.0000.113
프로그램명0.5610.5610.9560.6491.0001.0000.9240.0000.8091.0000.113
진행자0.0000.0000.0000.0000.9240.9241.0000.0000.8250.9240.000
프로그램URL0.0000.0001.0000.0000.0000.0000.0001.0000.8660.0000.000
부제0.4260.4260.7800.4740.8090.8090.8250.8661.0000.8090.000
표시이름0.5610.5610.9560.6491.0001.0000.9240.0000.8091.0000.113
방송일0.1960.1960.0000.1850.1130.1130.0000.0000.0000.1131.000

Missing values

2024-05-18T10:05:10.587688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-18T10:05:11.414868image/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

채널아이디채널명프로그램아이디프로그램명프로그램유형진행자프로그램URL부제표시이름방송일방송시간_HHMI방송시간2_HHMI방송길이순번오디오모드프로그램설명
0CH_BTV-CATVPG2062135B흔적방송프로그램*<NA>2회 중랑 스테이 `망우역사문화공원`흔적2024-05-1950050050500STEREO*
1CH_BTV-CATVPG2062210B비급고전방송프로그램*<NA>26회비급고전2024-05-1850050030500STEREO*
2CH_BTV-CATVPG2062210B비급고전방송프로그램*<NA>27회비급고전2024-05-1853053030530STEREO*
3CH_BTV-CATVPG2062135B흔적방송프로그램*<NA>3회 부천 스테이 `문화 역사도시 부천`흔적2024-05-1955055050550STEREO*
4CH_BTV-CATVPG2062210B비급고전방송프로그램*<NA>28회비급고전2024-05-1860060030600STEREO*
5CH_BTV-CATVPG2062210B비급고전방송프로그램*<NA>29회비급고전2024-05-1863063030630STEREO*
6CH_BTV-CATVPG2062210B비급고전방송프로그램*<NA>26회비급고전2024-05-1964064030640STEREO*
7CH_BTV-CATVPG2062210B비급고전방송프로그램*<NA>30회비급고전2024-05-1870070030700STEREO*
8CH_BTV-CATVPG2062210B비급고전방송프로그램*<NA>27회비급고전2024-05-1971071030710STEREO*
9CH_BTV-CATVPG2060812B공간사람방송프로그램*http://www.tbs.seoul.kr/cont/tv/SpaceHuman/intro/intro.do?programId=PG2060812B116회공간사람2024-05-1873073010730STEREO*
채널아이디채널명프로그램아이디프로그램명프로그램유형진행자프로그램URL부제표시이름방송일방송시간_HHMI방송시간2_HHMI방송길이순번오디오모드프로그램설명
67CH_BTV-CATVPG2062131B휴먼다큐 마냥 이쁜 우리맘방송프로그램*<NA>6회휴먼다큐 마냥 이쁜 우리맘2024-05-19300300602700STEREO*
68CH_BTV-CATVPG2062131B휴먼다큐 마냥 이쁜 우리맘방송프로그램*<NA>8회휴먼다큐 마냥 이쁜 우리맘2024-05-20300300602700STEREO*
69CH_BTV-CATVPG2060812B공간사람방송프로그램*http://www.tbs.seoul.kr/cont/tv/SpaceHuman/intro/intro.do?programId=PG2060812B117회공간사람2024-05-18320320102720STEREO*
70CH_BTV-CATVPG2062210B비급고전방송프로그램*<NA>30회비급고전2024-05-18330330302730STEREO*
71CH_BTV-CATVPG2062131B휴먼다큐 마냥 이쁜 우리맘방송프로그램*<NA>9회휴먼다큐 마냥 이쁜 우리맘2024-05-20400400602800STEREO*
72CH_BTV-CATVPG2060621B[영상기록] 시간을 품다방송프로그램SC:심혜영http://www.tbs.seoul.kr/cont/tv/Seoul_time/intro/intro.do?programId=PG2060621B19회[영상기록] 시간을 품다2024-05-18400400102800STEREO*
73CH_BTV-CATVPG2062131B휴먼다큐 마냥 이쁜 우리맘방송프로그램*<NA>7회휴먼다큐 마냥 이쁜 우리맘2024-05-19400400602800STEREO*
74CH_BTV-CATVPG2062158B오늘도 배움방송프로그램*<NA>29회오늘도 배움2024-05-18410410202810STEREO*
75CH_BTV-CATVPG2062158B오늘도 배움방송프로그램*<NA>30회오늘도 배움2024-05-18430430202830STEREO*
76CH_BTV-CATVPG2060812B공간사람방송프로그램*http://www.tbs.seoul.kr/cont/tv/SpaceHuman/intro/intro.do?programId=PG2060812B116회공간사람2024-05-18450450102850STEREO*