Overview

Dataset statistics

Number of variables11
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory97.5 B

Variable types

Categorical2
Text5
Numeric4

Dataset

Description대구광역시 청소년수련시설 현황에 대한 정보임(구분, 시설명, 운영자, 소재지, 부지면적, 건물면적, 수용인원, 개관일 등)
Author대구광역시
URLhttps://www.data.go.kr/data/15047957/fileData.do

Alerts

건물면적(제곱미터) is highly overall correlated with 수용인원High correlation
수용인원 is highly overall correlated with 건물면적(제곱미터)High correlation
종류 is highly overall correlated with 휴관일High correlation
휴관일 is highly overall correlated with 종류High correlation
시설명 has unique valuesUnique
소재지 has unique valuesUnique
부지면적(제곱미터) has unique valuesUnique
건물면적(제곱미터) has unique valuesUnique
개관일 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:35:42.019296
Analysis finished2023-12-12 13:35:44.211298
Duration2.19 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

종류
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)29.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
수련관
5 
문화의집
5 
문화의집
5 
수련원
3 
유스호스텔
2 
Other values (2)
4 

Length

Max length5
Median length4
Mean length3.9583333
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수련원
2nd row수련원
3rd row수련원
4th row수련관
5th row수련관

Common Values

ValueCountFrequency (%)
수련관 5
20.8%
문화의집 5
20.8%
문화의집 5
20.8%
수련원 3
12.5%
유스호스텔 2
 
8.3%
특화 시설 2
 
8.3%
야영장 2
 
8.3%

Length

2023-12-12T22:35:44.285276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:35:44.408759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문화의집 10
38.5%
수련관 5
19.2%
수련원 3
 
11.5%
유스호스텔 2
 
7.7%
특화 2
 
7.7%
시설 2
 
7.7%
야영장 2
 
7.7%

시설명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T22:35:44.605298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length10.75
Min length7

Characters and Unicode

Total characters258
Distinct characters59
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

Unique24 ?
Unique (%)100.0%

Sample

1st row대구광역시 청소년수련원
2nd row수성구 청소년수련원
3rd row군위군 청소년수련원
4th row수성구 청소년수련관
5th row달서구 청소년수련관
ValueCountFrequency (%)
청소년문화의집 9
20.5%
수성구 3
 
6.8%
청소년수련원 3
 
6.8%
대구광역시 2
 
4.5%
군위군 2
 
4.5%
청소년수련관 2
 
4.5%
달서구 2
 
4.5%
동구 2
 
4.5%
유스호스텔 2
 
4.5%
별하누리 1
 
2.3%
Other values (16) 16
36.4%
2023-12-12T22:35:44.987207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 21
 
8.1%
20
 
7.8%
청 20
 
7.8%
년 20
 
7.8%
구 18
 
7.0%
의 11
 
4.3%
수 11
 
4.3%
문 10
 
3.9%
집 10
 
3.9%
화 10
 
3.9%
Other values (49) 107
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 238
92.2%
Space Separator 20
 
7.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 21
 
8.8%
청 20
 
8.4%
년 20
 
8.4%
구 18
 
7.6%
의 11
 
4.6%
수 11
 
4.6%
문 10
 
4.2%
집 10
 
4.2%
화 10
 
4.2%
련 8
 
3.4%
Other values (48) 99
41.6%
Space Separator
ValueCountFrequency (%)
20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 238
92.2%
Common 20
 
7.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 21
 
8.8%
청 20
 
8.4%
년 20
 
8.4%
구 18
 
7.6%
의 11
 
4.6%
수 11
 
4.6%
문 10
 
4.2%
집 10
 
4.2%
화 10
 
4.2%
련 8
 
3.4%
Other values (48) 99
41.6%
Common
ValueCountFrequency (%)
20
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 238
92.2%
ASCII 20
 
7.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 21
 
8.8%
청 20
 
8.4%
년 20
 
8.4%
구 18
 
7.6%
의 11
 
4.6%
수 11
 
4.6%
문 10
 
4.2%
집 10
 
4.2%
화 10
 
4.2%
련 8
 
3.4%
Other values (48) 99
41.6%
ASCII
ValueCountFrequency (%)
20
100.0%

운영자
Text

Distinct17
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T22:35:45.222563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11.5
Mean length8.7916667
Min length3

Characters and Unicode

Total characters211
Distinct characters63
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

Unique12 ?
Unique (%)50.0%

Sample

1st row재)대구가톨릭청소년회
2nd row사)마하야나불교문화원
3rd row재)대구가톨릭청소년회
4th row사)마하야나불교문화원
5th row사)마하야나불교문화원
ValueCountFrequency (%)
재)대구가톨릭청소년회 3
 
11.1%
사)마하야나불교문화원 3
 
11.1%
대구행복진흥사회서비스원 2
 
7.4%
교육청 2
 
7.4%
재)북구청소년육성재단 2
 
7.4%
사)마하야냐불교문화원 1
 
3.7%
재단 1
 
3.7%
재)달성복지 1
 
3.7%
재)함께하는마음재단 1
 
3.7%
사)대구경북흥사단 1
 
3.7%
Other values (10) 10
37.0%
2023-12-12T22:35:45.635257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 15
 
7.1%
재 13
 
6.2%
구 11
 
5.2%
사 10
 
4.7%
청 8
 
3.8%
단 8
 
3.8%
교 7
 
3.3%
대 7
 
3.3%
원 6
 
2.8%
소 5
 
2.4%
Other values (53) 121
57.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 193
91.5%
Close Punctuation 15
 
7.1%
Space Separator 3
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
재 13
 
6.7%
구 11
 
5.7%
사 10
 
5.2%
청 8
 
4.1%
단 8
 
4.1%
교 7
 
3.6%
대 7
 
3.6%
원 6
 
3.1%
소 5
 
2.6%
년 5
 
2.6%
Other values (51) 113
58.5%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 193
91.5%
Common 18
 
8.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
재 13
 
6.7%
구 11
 
5.7%
사 10
 
5.2%
청 8
 
4.1%
단 8
 
4.1%
교 7
 
3.6%
대 7
 
3.6%
원 6
 
3.1%
소 5
 
2.6%
년 5
 
2.6%
Other values (51) 113
58.5%
Common
ValueCountFrequency (%)
) 15
83.3%
3
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 193
91.5%
ASCII 18
 
8.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 15
83.3%
3
 
16.7%
Hangul
ValueCountFrequency (%)
재 13
 
6.7%
구 11
 
5.7%
사 10
 
5.2%
청 8
 
4.1%
단 8
 
4.1%
교 7
 
3.6%
대 7
 
3.6%
원 6
 
3.1%
소 5
 
2.6%
년 5
 
2.6%
Other values (51) 113
58.5%

소재지
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T22:35:45.942397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length12.958333
Min length9

Characters and Unicode

Total characters311
Distinct characters72
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row달서구 앞산순환로 180
2nd row수성구 진밭길 409
3rd row군위군 군위읍 군위금성로 307-14
4th row수성구 청수로 45길 100
5th row달서구 상화로 420
ValueCountFrequency (%)
동구 4
 
5.1%
달성군 4
 
5.1%
남구 3
 
3.8%
달서구 3
 
3.8%
수성구 3
 
3.8%
북구 2
 
2.5%
서구 2
 
2.5%
51 2
 
2.5%
군위읍 2
 
2.5%
군위군 2
 
2.5%
Other values (52) 52
65.8%
2023-12-12T22:35:46.414022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
55
 
17.7%
로 21
 
6.8%
구 20
 
6.4%
1 17
 
5.5%
군 12
 
3.9%
4 10
 
3.2%
2 10
 
3.2%
3 10
 
3.2%
5 9
 
2.9%
길 9
 
2.9%
Other values (62) 138
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 171
55.0%
Decimal Number 80
25.7%
Space Separator 55
 
17.7%
Dash Punctuation 5
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 21
 
12.3%
구 20
 
11.7%
군 12
 
7.0%
길 9
 
5.3%
성 8
 
4.7%
달 7
 
4.1%
서 6
 
3.5%
위 6
 
3.5%
수 4
 
2.3%
동 4
 
2.3%
Other values (50) 74
43.3%
Decimal Number
ValueCountFrequency (%)
1 17
21.2%
4 10
12.5%
2 10
12.5%
3 10
12.5%
5 9
11.2%
0 9
11.2%
6 5
 
6.2%
8 4
 
5.0%
9 3
 
3.8%
7 3
 
3.8%
Space Separator
ValueCountFrequency (%)
55
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 171
55.0%
Common 140
45.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 21
 
12.3%
구 20
 
11.7%
군 12
 
7.0%
길 9
 
5.3%
성 8
 
4.7%
달 7
 
4.1%
서 6
 
3.5%
위 6
 
3.5%
수 4
 
2.3%
동 4
 
2.3%
Other values (50) 74
43.3%
Common
ValueCountFrequency (%)
55
39.3%
1 17
 
12.1%
4 10
 
7.1%
2 10
 
7.1%
3 10
 
7.1%
5 9
 
6.4%
0 9
 
6.4%
- 5
 
3.6%
6 5
 
3.6%
8 4
 
2.9%
Other values (2) 6
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 171
55.0%
ASCII 140
45.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
55
39.3%
1 17
 
12.1%
4 10
 
7.1%
2 10
 
7.1%
3 10
 
7.1%
5 9
 
6.4%
0 9
 
6.4%
- 5
 
3.6%
6 5
 
3.6%
8 4
 
2.9%
Other values (2) 6
 
4.3%
Hangul
ValueCountFrequency (%)
로 21
 
12.3%
구 20
 
11.7%
군 12
 
7.0%
길 9
 
5.3%
성 8
 
4.7%
달 7
 
4.1%
서 6
 
3.5%
위 6
 
3.5%
수 4
 
2.3%
동 4
 
2.3%
Other values (50) 74
43.3%

부지면적(제곱미터)
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12324.567
Minimum311
Maximum83522
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T22:35:46.574272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum311
5-th percentile601.76
Q11354.75
median5882
Q310855.5
95-th percentile62197.35
Maximum83522
Range83211
Interquartile range (IQR)9500.75

Descriptive statistics

Standard deviation20781.107
Coefficient of variation (CV)1.6861532
Kurtosis7.5389657
Mean12324.567
Median Absolute Deviation (MAD)4545.5
Skewness2.8010462
Sum295789.6
Variance4.3185441 × 108
MonotonicityNot monotonic
2023-12-12T22:35:46.684306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
23275.0 1
 
4.2%
631.0 1
 
4.2%
69066.0 1
 
4.2%
83522.0 1
 
4.2%
1253.0 1
 
4.2%
596.6 1
 
4.2%
6164.0 1
 
4.2%
4934.0 1
 
4.2%
19904.0 1
 
4.2%
1899.0 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
311.0 1
4.2%
596.6 1
4.2%
631.0 1
4.2%
676.0 1
4.2%
1253.0 1
4.2%
1300.0 1
4.2%
1373.0 1
4.2%
1587.0 1
4.2%
1666.0 1
4.2%
1899.0 1
4.2%
ValueCountFrequency (%)
83522.0 1
4.2%
69066.0 1
4.2%
23275.0 1
4.2%
19904.0 1
4.2%
14136.0 1
4.2%
13671.0 1
4.2%
9917.0 1
4.2%
9322.0 1
4.2%
9250.0 1
4.2%
9247.0 1
4.2%

건물면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3233.9292
Minimum355
Maximum10124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T22:35:46.816111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum355
5-th percentile492.65
Q11096.575
median2964.5
Q34233.75
95-th percentile8789.8
Maximum10124
Range9769
Interquartile range (IQR)3137.175

Descriptive statistics

Standard deviation2640.7786
Coefficient of variation (CV)0.81658516
Kurtosis1.2369172
Mean3233.9292
Median Absolute Deviation (MAD)1716.5
Skewness1.1970675
Sum77614.3
Variance6973711.4
MonotonicityNot monotonic
2023-12-12T22:35:46.972237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
10124.0 1
 
4.2%
1130.0 1
 
4.2%
9256.0 1
 
4.2%
355.0 1
 
4.2%
553.0 1
 
4.2%
996.3 1
 
4.2%
6148.0 1
 
4.2%
4563.0 1
 
4.2%
799.0 1
 
4.2%
1608.0 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
355.0 1
4.2%
482.0 1
4.2%
553.0 1
4.2%
604.0 1
4.2%
799.0 1
4.2%
996.3 1
4.2%
1130.0 1
4.2%
1461.0 1
4.2%
1608.0 1
4.2%
1911.0 1
4.2%
ValueCountFrequency (%)
10124.0 1
4.2%
9256.0 1
4.2%
6148.0 1
4.2%
5750.0 1
4.2%
5041.0 1
4.2%
4563.0 1
4.2%
4124.0 1
4.2%
3973.0 1
4.2%
3962.0 1
4.2%
3806.0 1
4.2%

수용인원
Real number (ℝ)

HIGH CORRELATION 

Distinct15
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean376.20833
Minimum78
Maximum1100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T22:35:47.076439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum78
5-th percentile100
Q1197.5
median230
Q3447.5
95-th percentile1000
Maximum1100
Range1022
Interquartile range (IQR)250

Descriptive statistics

Standard deviation310.67976
Coefficient of variation (CV)0.82581838
Kurtosis0.73598485
Mean376.20833
Median Absolute Deviation (MAD)130
Skewness1.3756623
Sum9029
Variance96521.911
MonotonicityNot monotonic
2023-12-12T22:35:47.200868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
200 6
25.0%
100 3
12.5%
1000 2
 
8.3%
500 2
 
8.3%
1100 1
 
4.2%
260 1
 
4.2%
430 1
 
4.2%
900 1
 
4.2%
350 1
 
4.2%
78 1
 
4.2%
Other values (5) 5
20.8%
ValueCountFrequency (%)
78 1
 
4.2%
100 3
12.5%
150 1
 
4.2%
190 1
 
4.2%
200 6
25.0%
260 1
 
4.2%
304 1
 
4.2%
350 1
 
4.2%
367 1
 
4.2%
400 1
 
4.2%
ValueCountFrequency (%)
1100 1
4.2%
1000 2
8.3%
900 1
4.2%
500 2
8.3%
430 1
4.2%
400 1
4.2%
367 1
4.2%
350 1
4.2%
304 1
4.2%
260 1
4.2%

휴관일
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)45.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
월요일 관공서 공휴일
7 
연중
4 
매주 월요일
3 
매주 월요일 설 추석
2 
상시
2 
Other values (6)
6 

Length

Max length11
Median length9
Mean length7
Min length2

Unique

Unique6 ?
Unique (%)25.0%

Sample

1st row매주 월요일
2nd row매주 월요일
3rd row매주 월요일
4th row관공서 공휴일
5th row명절 매월2째주

Common Values

ValueCountFrequency (%)
월요일 관공서 공휴일 7
29.2%
연중 4
16.7%
매주 월요일 3
12.5%
매주 월요일 설 추석 2
 
8.3%
상시 2
 
8.3%
관공서 공휴일 1
 
4.2%
명절 매월2째주 1
 
4.2%
2째주 일요일 1
 
4.2%
2/4째주 일요일 1
 
4.2%
명절 휴관 1
 
4.2%

Length

2023-12-12T22:35:47.339722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
월요일 12
23.1%
공휴일 9
17.3%
관공서 8
15.4%
매주 5
9.6%
연중 4
 
7.7%
설 2
 
3.8%
추석 2
 
3.8%
상시 2
 
3.8%
명절 2
 
3.8%
일요일 2
 
3.8%
Other values (4) 4
 
7.7%

개관일
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40241.833
Minimum32304
Maximum44888
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T22:35:47.439414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32304
5-th percentile34753.35
Q137151.25
median41264.5
Q343332.5
95-th percentile44315.5
Maximum44888
Range12584
Interquartile range (IQR)6181.25

Descriptive statistics

Standard deviation3630.4333
Coefficient of variation (CV)0.090215406
Kurtosis-0.82664356
Mean40241.833
Median Absolute Deviation (MAD)2669
Skewness-0.55417234
Sum965804
Variance13180046
MonotonicityNot monotonic
2023-12-12T22:35:47.585029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
34677 1
 
4.2%
41205 1
 
4.2%
41904 1
 
4.2%
32304 1
 
4.2%
42782 1
 
4.2%
41855 1
 
4.2%
43000 1
 
4.2%
36482 1
 
4.2%
39359 1
 
4.2%
44888 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
32304 1
4.2%
34677 1
4.2%
35186 1
4.2%
36281 1
4.2%
36482 1
4.2%
36888 1
4.2%
37239 1
4.2%
37294 1
4.2%
39359 1
4.2%
39787 1
4.2%
ValueCountFrequency (%)
44888 1
4.2%
44317 1
4.2%
44307 1
4.2%
44044 1
4.2%
43823 1
4.2%
43595 1
4.2%
43245 1
4.2%
43000 1
4.2%
42782 1
4.2%
41904 1
4.2%

전화번호
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T22:35:47.812855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.208333
Min length12

Characters and Unicode

Total characters293
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row053-656-6655
2nd row053-784-1318
3rd row054-383-0317
4th row053-761-9400
5th row053-639-7101
ValueCountFrequency (%)
053-656-6655 1
 
4.2%
053-784-1318 1
 
4.2%
053-980-5443 1
 
4.2%
053-474-4840 1
 
4.2%
053-664-3101 1
 
4.2%
053-610-5700 1
 
4.2%
053-985-8000 1
 
4.2%
054-380-6228 1
 
4.2%
053-218-1318 1
 
4.2%
053-793-3415 1
 
4.2%
Other values (14) 14
58.3%
2023-12-12T22:35:48.133834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 48
16.4%
3 46
15.7%
0 43
14.7%
5 36
12.3%
1 27
9.2%
4 21
7.2%
6 20
6.8%
8 18
 
6.1%
2 14
 
4.8%
7 10
 
3.4%
Other values (3) 10
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 243
82.9%
Dash Punctuation 48
 
16.4%
Math Symbol 1
 
0.3%
Space Separator 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 46
18.9%
0 43
17.7%
5 36
14.8%
1 27
11.1%
4 21
8.6%
6 20
8.2%
8 18
 
7.4%
2 14
 
5.8%
7 10
 
4.1%
9 8
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 293
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 48
16.4%
3 46
15.7%
0 43
14.7%
5 36
12.3%
1 27
9.2%
4 21
7.2%
6 20
6.8%
8 18
 
6.1%
2 14
 
4.8%
7 10
 
3.4%
Other values (3) 10
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 293
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 48
16.4%
3 46
15.7%
0 43
14.7%
5 36
12.3%
1 27
9.2%
4 21
7.2%
6 20
6.8%
8 18
 
6.1%
2 14
 
4.8%
7 10
 
3.4%
Other values (3) 10
 
3.4%

팩스번호
Text

Distinct16
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T22:35:48.288435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length8.25
Min length2

Characters and Unicode

Total characters198
Distinct characters13
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 (%)62.5%

Sample

1st row053-653-2054
2nd row053-784-1320
3rd row054-383-0319
4th row053-761-9347
5th row053-639-7106
ValueCountFrequency (%)
없음 9
37.5%
053-653-2054 1
 
4.2%
053-784-1320 1
 
4.2%
054-383-0319 1
 
4.2%
053-761-9347 1
 
4.2%
053-639-7106 1
 
4.2%
053-665-2199 1
 
4.2%
053-572-2458 1
 
4.2%
053-617-1390 1
 
4.2%
053-661-1320 1
 
4.2%
Other values (6) 6
25.0%
2023-12-12T22:35:48.561461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 30
15.2%
- 30
15.2%
0 23
11.6%
5 22
11.1%
1 19
9.6%
6 13
6.6%
2 11
 
5.6%
없 9
 
4.5%
음 9
 
4.5%
4 9
 
4.5%
Other values (3) 23
11.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 150
75.8%
Dash Punctuation 30
 
15.2%
Other Letter 18
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 30
20.0%
0 23
15.3%
5 22
14.7%
1 19
12.7%
6 13
8.7%
2 11
 
7.3%
4 9
 
6.0%
9 9
 
6.0%
7 8
 
5.3%
8 6
 
4.0%
Other Letter
ValueCountFrequency (%)
없 9
50.0%
음 9
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 180
90.9%
Hangul 18
 
9.1%

Most frequent character per script

Common
ValueCountFrequency (%)
3 30
16.7%
- 30
16.7%
0 23
12.8%
5 22
12.2%
1 19
10.6%
6 13
7.2%
2 11
 
6.1%
4 9
 
5.0%
9 9
 
5.0%
7 8
 
4.4%
Hangul
ValueCountFrequency (%)
없 9
50.0%
음 9
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 180
90.9%
Hangul 18
 
9.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 30
16.7%
- 30
16.7%
0 23
12.8%
5 22
12.2%
1 19
10.6%
6 13
7.2%
2 11
 
6.1%
4 9
 
5.0%
9 9
 
5.0%
7 8
 
4.4%
Hangul
ValueCountFrequency (%)
없 9
50.0%
음 9
50.0%

Interactions

2023-12-12T22:35:43.588618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:35:42.471255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:35:42.892546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:35:43.230597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:35:43.671835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:35:42.562534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:35:42.971933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:35:43.318712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:35:43.768467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:35:42.666683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:35:43.047697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:35:43.414066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:35:43.842590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:35:42.795737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:35:43.125234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:35:43.503705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:35:48.679643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종류시설명운영자소재지부지면적(제곱미터)건물면적(제곱미터)수용인원휴관일개관일전화번호팩스번호
종류1.0001.0000.8851.0000.6000.7820.0000.8910.1261.0000.000
시설명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
운영자0.8851.0001.0001.0000.0000.0000.0000.8290.0001.0000.000
소재지1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
부지면적(제곱미터)0.6001.0000.0001.0001.0000.2990.4800.4460.6151.0000.000
건물면적(제곱미터)0.7821.0000.0001.0000.2991.0000.8010.6310.4571.0000.518
수용인원0.0001.0000.0001.0000.4800.8011.0000.8060.0391.0000.722
휴관일0.8911.0000.8291.0000.4460.6310.8061.0000.7371.0000.944
개관일0.1261.0000.0001.0000.6150.4570.0390.7371.0001.0000.903
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
팩스번호0.0001.0000.0001.0000.0000.5180.7220.9440.9031.0001.000
2023-12-12T22:35:48.826654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종류휴관일
종류1.0000.620
휴관일0.6201.000
2023-12-12T22:35:49.231471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부지면적(제곱미터)건물면적(제곱미터)수용인원개관일종류휴관일
부지면적(제곱미터)1.0000.2650.438-0.4320.4190.208
건물면적(제곱미터)0.2651.0000.545-0.1800.2890.225
수용인원0.4380.5451.000-0.4980.0000.483
개관일-0.432-0.180-0.4981.0000.1730.391
종류0.4190.2890.0000.1731.0000.620
휴관일0.2080.2250.4830.3910.6201.000

Missing values

2023-12-12T22:35:43.976164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:35:44.146502image/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

종류시설명운영자소재지부지면적(제곱미터)건물면적(제곱미터)수용인원휴관일개관일전화번호팩스번호
0수련원대구광역시 청소년수련원재)대구가톨릭청소년회달서구 앞산순환로 18023275.010124.01100매주 월요일34677053-656-6655053-653-2054
1수련원수성구 청소년수련원사)마하야나불교문화원수성구 진밭길 40913671.01461.0260매주 월요일41324053-784-1318053-784-1320
2수련원군위군 청소년수련원재)대구가톨릭청소년회군위군 군위읍 군위금성로 307-149322.01983.0100매주 월요일43245054-383-0317054-383-0319
3수련관수성구 청소년수련관사)마하야나불교문화원수성구 청수로 45길 10014136.03056.0430관공서 공휴일35186053-761-9400053-761-9347
4수련관달서구 청소년수련관사)마하야나불교문화원달서구 상화로 4206489.04124.0900명절 매월2째주36281053-639-7101053-639-7106
5수련관북구청소년회관재)북구청소년육성재단북구 검단로 71-179250.05750.010002째주 일요일36888053-384-1318053-665-2199
6수련관서구청소년수련관재)함께하는마음재단서구 문화로 1225600.03962.03502/4째주 일요일37239053-572-2451~3053-572-2458
7수련관달성군청소년센터재)달성복지 재단달성군 논공읍 논공로 2529917.03806.0500명절 휴관39787053-668-3462053-617-1390
8문화의집대구광역시 청소년문화의집대구행복진흥사회서비스원남구 명덕로 34길 161373.05041.0200매주 월요일 설 추석40018053-661-1345053-661-1320
9문화의집대구청소년문화의집 꼼지락발전소대구행복진흥사회서비스원서구 국채보상로34길 48-11587.03973.0500매주 월요일 설 추석43595053-216-2360053-216-2364
종류시설명운영자소재지부지면적(제곱미터)건물면적(제곱미터)수용인원휴관일개관일전화번호팩스번호
14문화의집북구 청소년문화의집 별하누리재)북구청소년육성재단북구 칠곡중앙대로 5611666.02979.0200월요일 관공서 공휴일44307053-323-1318053-325-1318
15문화의집수성구 청소년문화의집사)흥사단수성구 천을로 34676.01911.0200월요일 관공서 공휴일44317053-793-3415053-793-3416
16문화의집달서구 청소년문화의집구미대학교달서구 조암로 1291899.01608.0190월요일 관공서 공휴일44888053-218-1318053-218-1319
17문화의집군위군 청소년문화의집군위군 직영군위군 군위읍 군청로 15819904.0799.0100월요일 관공서 공휴일39359054-380-6228없음
18유스호스텔팔공산맥섬석 유스호스텔주)팔공산맥섬석유스호스텔동구 갓바위로223-354934.04563.0200연중36482053-985-8000없음
19유스호스텔비슬산 유스호스텔달성군 시설관리공단달성군 유가면 일연선사길 106164.06148.0304연중43000053-610-5700없음
20특화 시설남구 청소년창작센터남구청남구 이천로 51596.6996.3200연중41855053-664-3101없음
21특화 시설대구청소년창의센터재)대구가톨릭청소년회남구 봉덕로 451253.0553.0200연중42782053-474-4840없음
22야영장대구교육팔공산수련원교육청동구 용천로53883522.0355.01000상시32304053-980-5443없음
23야영장대구교육낙동강수련원교육청달성군 구지면 구지서로 13169066.09256.0400상시41904053-231-2960없음