Overview

Dataset statistics

Number of variables12
Number of observations33
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 KiB
Average record size in memory103.0 B

Variable types

Numeric3
Text5
DateTime2
Categorical2

Dataset

Description대구광역시 달서구_공동주택_아파트_시공중인_현황_20220429
Author대구광역시 달서구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15054184&dataSetDetailId=150541841acfdb4a6681c&provdMethod=FILE

Alerts

담당부서 has constant value ""Constant
위도 is highly overall correlated with 행정동High correlation
경도 is highly overall correlated with 행정동High correlation
행정동 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
위도 has unique valuesUnique
경도 has unique valuesUnique
공사명 has unique valuesUnique
공사기간 has unique valuesUnique
공사현장주소 has unique valuesUnique

Reproduction

Analysis started2024-04-19 05:42:20.454912
Analysis finished2024-04-19 05:42:21.951730
Duration1.5 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.843841
Minimum35.809435
Maximum35.858561
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-04-19T14:42:22.057304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.809435
5-th percentile35.817684
Q135.838725
median35.847233
Q335.851377
95-th percentile35.856569
Maximum35.858561
Range0.04912587
Interquartile range (IQR)0.01265259

Descriptive statistics

Standard deviation0.011426728
Coefficient of variation (CV)0.00031879195
Kurtosis2.283593
Mean35.843841
Median Absolute Deviation (MAD)0.005417
Skewness-1.4600008
Sum1182.8468
Variance0.00013057012
MonotonicityNot monotonic
2024-04-19T14:42:22.231235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
35.84235345 1
 
3.0%
35.83577618 1
 
3.0%
35.84928447 1
 
3.0%
35.81793106 1
 
3.0%
35.80943519 1
 
3.0%
35.85751505 1
 
3.0%
35.85593763 1
 
3.0%
35.84087787 1
 
3.0%
35.83705022 1
 
3.0%
35.84939608 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
35.80943519 1
3.0%
35.81731345 1
3.0%
35.81793106 1
3.0%
35.83577618 1
3.0%
35.83608539 1
3.0%
35.8363069 1
3.0%
35.83632086 1
3.0%
35.83705022 1
3.0%
35.83872471 1
3.0%
35.83955411 1
3.0%
ValueCountFrequency (%)
35.85856106 1
3.0%
35.85751505 1
3.0%
35.85593763 1
3.0%
35.85549369 1
3.0%
35.85542683 1
3.0%
35.85265014 1
3.0%
35.85160671 1
3.0%
35.85154196 1
3.0%
35.8513773 1
3.0%
35.85065356 1
3.0%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.5403
Minimum128.52775
Maximum128.57092
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-04-19T14:42:22.397843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.52775
5-th percentile128.53159
Q1128.5339
median128.53639
Q3128.53946
95-th percentile128.56385
Maximum128.57092
Range0.0431738
Interquartile range (IQR)0.005565

Descriptive statistics

Standard deviation0.010837195
Coefficient of variation (CV)8.4309711 × 10-5
Kurtosis2.108729
Mean128.5403
Median Absolute Deviation (MAD)0.0030207
Skewness1.6904913
Sum4241.8298
Variance0.0001174448
MonotonicityNot monotonic
2024-04-19T14:42:22.529804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
128.5346844 1
 
3.0%
128.5520405 1
 
3.0%
128.5327051 1
 
3.0%
128.5277475 1
 
3.0%
128.541069 1
 
3.0%
128.5600637 1
 
3.0%
128.5384516 1
 
3.0%
128.5320731 1
 
3.0%
128.5374603 1
 
3.0%
128.5379866 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
128.5277475 1
3.0%
128.530853 1
3.0%
128.5320731 1
3.0%
128.5321581 1
3.0%
128.5327051 1
3.0%
128.5329135 1
3.0%
128.5332014 1
3.0%
128.5333719 1
3.0%
128.533898 1
3.0%
128.5340943 1
3.0%
ValueCountFrequency (%)
128.5709213 1
3.0%
128.5695266 1
3.0%
128.5600637 1
3.0%
128.5586433 1
3.0%
128.5520405 1
3.0%
128.5517072 1
3.0%
128.5498438 1
3.0%
128.541069 1
3.0%
128.539463 1
3.0%
128.5384516 1
3.0%

공사명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-04-19T14:42:22.771646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length10.181818
Min length5

Characters and Unicode

Total characters336
Distinct characters128
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

Unique33 ?
Unique (%)100.0%

Sample

1st row장기동 인터불고 라비다
2nd row빌리브스카이
3rd row힐스테이트감삼
4th row효성해링턴플레이스감삼
5th row두류파크KCC스위첸
ValueCountFrequency (%)
장기동 1
 
2.3%
두류야외음악당 1
 
2.3%
공동주택 1
 
2.3%
신축공사 1
 
2.3%
두류역서한포레스트 1
 
2.3%
죽전역에일린의뜰아파트 1
 
2.3%
달서sk뷰 1
 
2.3%
한양수자인더팰리시티아파트 1
 
2.3%
빌리브라디체아파트 1
 
2.3%
해링턴플레이스감삼3차 1
 
2.3%
Other values (33) 33
76.7%
2024-04-19T14:42:23.445034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
트 16
 
4.8%
스 16
 
4.8%
이 13
 
3.9%
아 11
 
3.3%
파 11
 
3.3%
10
 
3.0%
역 8
 
2.4%
브 8
 
2.4%
리 8
 
2.4%
레 7
 
2.1%
Other values (118) 228
67.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 316
94.0%
Space Separator 10
 
3.0%
Uppercase Letter 6
 
1.8%
Decimal Number 3
 
0.9%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 16
 
5.1%
스 16
 
5.1%
이 13
 
4.1%
아 11
 
3.5%
파 11
 
3.5%
역 8
 
2.5%
브 8
 
2.5%
리 8
 
2.5%
레 7
 
2.2%
라 6
 
1.9%
Other values (110) 212
67.1%
Uppercase Letter
ValueCountFrequency (%)
S 2
33.3%
K 2
33.3%
C 2
33.3%
Decimal Number
ValueCountFrequency (%)
4 1
33.3%
3 1
33.3%
2 1
33.3%
Space Separator
ValueCountFrequency (%)
10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 316
94.0%
Common 14
 
4.2%
Latin 6
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 16
 
5.1%
스 16
 
5.1%
이 13
 
4.1%
아 11
 
3.5%
파 11
 
3.5%
역 8
 
2.5%
브 8
 
2.5%
리 8
 
2.5%
레 7
 
2.2%
라 6
 
1.9%
Other values (110) 212
67.1%
Common
ValueCountFrequency (%)
10
71.4%
4 1
 
7.1%
- 1
 
7.1%
3 1
 
7.1%
2 1
 
7.1%
Latin
ValueCountFrequency (%)
S 2
33.3%
K 2
33.3%
C 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 316
94.0%
ASCII 20
 
6.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
트 16
 
5.1%
스 16
 
5.1%
이 13
 
4.1%
아 11
 
3.5%
파 11
 
3.5%
역 8
 
2.5%
브 8
 
2.5%
리 8
 
2.5%
레 7
 
2.2%
라 6
 
1.9%
Other values (110) 212
67.1%
ASCII
ValueCountFrequency (%)
10
50.0%
S 2
 
10.0%
K 2
 
10.0%
C 2
 
10.0%
4 1
 
5.0%
- 1
 
5.0%
3 1
 
5.0%
2 1
 
5.0%

공사기간
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-04-19T14:42:23.644280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters495
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row2017-10~2021-08
2nd row2018-12~2022-06
3rd row2019-05~2022-09
4th row2019-07~2023-03
5th row2019-12~2022-10
ValueCountFrequency (%)
2017-10~2021-08 1
 
3.0%
2020-07~2024-03 1
 
3.0%
2022-03~2026-04 1
 
3.0%
2022-01~2026-03 1
 
3.0%
2021-11~2024-12 1
 
3.0%
2021-12~2024-09 1
 
3.0%
2021-11~2025-07 1
 
3.0%
2021-10~2025-06 1
 
3.0%
2020-11~2023-08 1
 
3.0%
2021-08~2024-06 1
 
3.0%
Other values (23) 23
69.7%
2024-04-19T14:42:23.993786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 147
29.7%
0 128
25.9%
- 66
13.3%
1 48
 
9.7%
~ 33
 
6.7%
3 15
 
3.0%
4 14
 
2.8%
9 13
 
2.6%
5 10
 
2.0%
7 9
 
1.8%
Other values (2) 12
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 396
80.0%
Dash Punctuation 66
 
13.3%
Math Symbol 33
 
6.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 147
37.1%
0 128
32.3%
1 48
 
12.1%
3 15
 
3.8%
4 14
 
3.5%
9 13
 
3.3%
5 10
 
2.5%
7 9
 
2.3%
6 8
 
2.0%
8 4
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%
Math Symbol
ValueCountFrequency (%)
~ 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 495
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 147
29.7%
0 128
25.9%
- 66
13.3%
1 48
 
9.7%
~ 33
 
6.7%
3 15
 
3.0%
4 14
 
2.8%
9 13
 
2.6%
5 10
 
2.0%
7 9
 
1.8%
Other values (2) 12
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 495
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 147
29.7%
0 128
25.9%
- 66
13.3%
1 48
 
9.7%
~ 33
 
6.7%
3 15
 
3.0%
4 14
 
2.8%
9 13
 
2.6%
5 10
 
2.0%
7 9
 
1.8%
Other values (2) 12
 
2.4%

공사현장주소
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-04-19T14:42:24.175228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length18.515152
Min length16

Characters and Unicode

Total characters611
Distinct characters38
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

Unique33 ?
Unique (%)100.0%

Sample

1st row대구광역시 달서구 장기동 548-3
2nd row대구광역시 달서구 감삼동 141-5
3rd row대구광역시 달서구 감삼동 556
4th row대구광역시 달서구 감삼동 560-1
5th row대구광역시 달서구 두류동 803-44
ValueCountFrequency (%)
대구광역시 33
25.0%
달서구 33
25.0%
감삼동 10
 
7.6%
두류동 6
 
4.5%
본리동 4
 
3.0%
본동 4
 
3.0%
죽전동 3
 
2.3%
진천동 2
 
1.5%
638-19 1
 
0.8%
358-5 1
 
0.8%
Other values (35) 35
26.5%
2024-04-19T14:42:24.502849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
99
16.2%
구 66
 
10.8%
동 33
 
5.4%
서 33
 
5.4%
달 33
 
5.4%
대 33
 
5.4%
시 33
 
5.4%
역 33
 
5.4%
광 33
 
5.4%
- 25
 
4.1%
Other values (28) 190
31.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 359
58.8%
Decimal Number 128
 
20.9%
Space Separator 99
 
16.2%
Dash Punctuation 25
 
4.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 66
18.4%
동 33
9.2%
서 33
9.2%
달 33
9.2%
대 33
9.2%
시 33
9.2%
역 33
9.2%
광 33
9.2%
삼 10
 
2.8%
감 10
 
2.8%
Other values (16) 42
11.7%
Decimal Number
ValueCountFrequency (%)
5 20
15.6%
1 18
14.1%
3 18
14.1%
4 14
10.9%
7 11
8.6%
8 11
8.6%
2 11
8.6%
0 10
7.8%
6 10
7.8%
9 5
 
3.9%
Space Separator
ValueCountFrequency (%)
99
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 359
58.8%
Common 252
41.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 66
18.4%
동 33
9.2%
서 33
9.2%
달 33
9.2%
대 33
9.2%
시 33
9.2%
역 33
9.2%
광 33
9.2%
삼 10
 
2.8%
감 10
 
2.8%
Other values (16) 42
11.7%
Common
ValueCountFrequency (%)
99
39.3%
- 25
 
9.9%
5 20
 
7.9%
1 18
 
7.1%
3 18
 
7.1%
4 14
 
5.6%
7 11
 
4.4%
8 11
 
4.4%
2 11
 
4.4%
0 10
 
4.0%
Other values (2) 15
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 359
58.8%
ASCII 252
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
99
39.3%
- 25
 
9.9%
5 20
 
7.9%
1 18
 
7.1%
3 18
 
7.1%
4 14
 
5.6%
7 11
 
4.4%
8 11
 
4.4%
2 11
 
4.4%
0 10
 
4.0%
Other values (2) 15
 
6.0%
Hangul
ValueCountFrequency (%)
구 66
18.4%
동 33
9.2%
서 33
9.2%
달 33
9.2%
대 33
9.2%
시 33
9.2%
역 33
9.2%
광 33
9.2%
삼 10
 
2.8%
감 10
 
2.8%
Other values (16) 42
11.7%

세대수
Real number (ℝ)

Distinct31
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean412.90909
Minimum48
Maximum1196
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-04-19T14:42:24.622654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48
5-th percentile87.2
Q1200
median391
Q3481
95-th percentile1002.4
Maximum1196
Range1148
Interquartile range (IQR)281

Descriptive statistics

Standard deviation290.40159
Coefficient of variation (CV)0.70330637
Kurtosis0.96283266
Mean412.90909
Median Absolute Deviation (MAD)161
Skewness1.1824393
Sum13626
Variance84333.085
MonotonicityNot monotonic
2024-04-19T14:42:24.732934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
200 2
 
6.1%
454 2
 
6.1%
148 1
 
3.0%
393 1
 
3.0%
481 1
 
3.0%
463 1
 
3.0%
433 1
 
3.0%
363 1
 
3.0%
520 1
 
3.0%
1021 1
 
3.0%
Other values (21) 21
63.6%
ValueCountFrequency (%)
48 1
3.0%
80 1
3.0%
92 1
3.0%
117 1
3.0%
144 1
3.0%
148 1
3.0%
162 1
3.0%
176 1
3.0%
200 2
6.1%
230 1
3.0%
ValueCountFrequency (%)
1196 1
3.0%
1021 1
3.0%
990 1
3.0%
959 1
3.0%
785 1
3.0%
555 1
3.0%
520 1
3.0%
504 1
3.0%
481 1
3.0%
480 1
3.0%

준공예정일
Date

Distinct27
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2021-08-01 00:00:00
Maximum2026-04-01 00:00:00
2024-04-19T14:42:24.842824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:42:24.955084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

시공사명
Text

Distinct24
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-04-19T14:42:25.128882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length5.969697
Min length3

Characters and Unicode

Total characters197
Distinct characters66
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)54.5%

Sample

1st row㈜인터불고건설
2nd row신세계건설㈜
3rd row현대엔지니어링㈜
4th row효성중공업㈜
5th row㈜KCC건설
ValueCountFrequency (%)
신세계건설㈜ 4
 
12.1%
효성중공업㈜ 3
 
9.1%
현대엔지니어링㈜ 2
 
6.1%
㈜이테크건설 2
 
6.1%
동부건설㈜ 2
 
6.1%
㈜대우건설 2
 
6.1%
㈜태왕이앤씨 1
 
3.0%
㈜인터불고건설 1
 
3.0%
㈜우인종합건설 1
 
3.0%
진흥기업㈜ 1
 
3.0%
Other values (14) 14
42.4%
2024-04-19T14:42:25.429928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 31
 
15.7%
건 20
 
10.2%
설 19
 
9.6%
업 6
 
3.0%
대 5
 
2.5%
세 5
 
2.5%
신 5
 
2.5%
계 5
 
2.5%
성 4
 
2.0%
중 4
 
2.0%
Other values (56) 93
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 161
81.7%
Other Symbol 31
 
15.7%
Uppercase Letter 5
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
건 20
 
12.4%
설 19
 
11.8%
업 6
 
3.7%
대 5
 
3.1%
세 5
 
3.1%
신 5
 
3.1%
계 5
 
3.1%
성 4
 
2.5%
중 4
 
2.5%
우 4
 
2.5%
Other values (52) 84
52.2%
Uppercase Letter
ValueCountFrequency (%)
K 2
40.0%
C 2
40.0%
S 1
20.0%
Other Symbol
ValueCountFrequency (%)
㈜ 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 192
97.5%
Latin 5
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 31
 
16.1%
건 20
 
10.4%
설 19
 
9.9%
업 6
 
3.1%
대 5
 
2.6%
세 5
 
2.6%
신 5
 
2.6%
계 5
 
2.6%
성 4
 
2.1%
중 4
 
2.1%
Other values (53) 88
45.8%
Latin
ValueCountFrequency (%)
K 2
40.0%
C 2
40.0%
S 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 161
81.7%
None 31
 
15.7%
ASCII 5
 
2.5%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 31
100.0%
Hangul
ValueCountFrequency (%)
건 20
 
12.4%
설 19
 
11.8%
업 6
 
3.7%
대 5
 
3.1%
세 5
 
3.1%
신 5
 
3.1%
계 5
 
3.1%
성 4
 
2.5%
중 4
 
2.5%
우 4
 
2.5%
Other values (52) 84
52.2%
ASCII
ValueCountFrequency (%)
K 2
40.0%
C 2
40.0%
S 1
20.0%

전화번호
Text

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-04-19T14:42:25.620427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.181818
Min length12

Characters and Unicode

Total characters402
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)93.9%

Sample

1st row053-802-4007
2nd row070-7896-5387
3rd row070-7575-0832
4th row053-521-6932
5th row053-627-7739
ValueCountFrequency (%)
053-557-8444 2
 
6.1%
070-7896-5387 1
 
3.0%
053-565-2015 1
 
3.0%
053-656-9101 1
 
3.0%
053-721-6793 1
 
3.0%
053-557-8769 1
 
3.0%
053-557-9513 1
 
3.0%
053-656-8086 1
 
3.0%
053-721-6525 1
 
3.0%
053-554-4915 1
 
3.0%
Other values (22) 22
66.7%
2024-04-19T14:42:25.932032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 67
16.7%
- 66
16.4%
0 56
13.9%
3 42
10.4%
7 37
9.2%
2 26
 
6.5%
9 25
 
6.2%
6 24
 
6.0%
8 23
 
5.7%
4 21
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 336
83.6%
Dash Punctuation 66
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 67
19.9%
0 56
16.7%
3 42
12.5%
7 37
11.0%
2 26
 
7.7%
9 25
 
7.4%
6 24
 
7.1%
8 23
 
6.8%
4 21
 
6.2%
1 15
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 402
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 67
16.7%
- 66
16.4%
0 56
13.9%
3 42
10.4%
7 37
9.2%
2 26
 
6.5%
9 25
 
6.2%
6 24
 
6.0%
8 23
 
5.7%
4 21
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 402
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 67
16.7%
- 66
16.4%
0 56
13.9%
3 42
10.4%
7 37
9.2%
2 26
 
6.5%
9 25
 
6.2%
6 24
 
6.0%
8 23
 
5.7%
4 21
 
5.2%

행정동
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size396.0 B
감삼동
10 
두류동
6 
본리동
4 
죽전동
3 
본동
2 
Other values (6)
8 

Length

Max length3
Median length3
Mean length2.9393939
Min length2

Unique

Unique4 ?
Unique (%)12.1%

Sample

1st row장기동
2nd row감삼동
3rd row감삼동
4th row감삼동
5th row두류동

Common Values

ValueCountFrequency (%)
감삼동 10
30.3%
두류동 6
18.2%
본리동 4
 
12.1%
죽전동 3
 
9.1%
본동 2
 
6.1%
진천동 2
 
6.1%
본동 2
 
6.1%
장기동 1
 
3.0%
용산동 1
 
3.0%
상인동 1
 
3.0%

Length

2024-04-19T14:42:26.071748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
감삼동 10
30.3%
두류동 6
18.2%
본리동 4
 
12.1%
본동 4
 
12.1%
죽전동 3
 
9.1%
진천동 2
 
6.1%
장기동 1
 
3.0%
용산동 1
 
3.0%
상인동 1
 
3.0%
송현동 1
 
3.0%

담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
대구광역시 달서구 건축과
33 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시 달서구 건축과
2nd row대구광역시 달서구 건축과
3rd row대구광역시 달서구 건축과
4th row대구광역시 달서구 건축과
5th row대구광역시 달서구 건축과

Common Values

ValueCountFrequency (%)
대구광역시 달서구 건축과 33
100.0%

Length

2024-04-19T14:42:26.180012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:42:26.272192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 33
33.3%
달서구 33
33.3%
건축과 33
33.3%

기준일자
Date

Distinct6
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2022-04-29 00:00:00
Maximum2022-05-04 00:00:00
2024-04-19T14:42:26.350313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:42:26.437809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

Interactions

2024-04-19T14:42:21.336827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:42:20.889865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:42:21.120240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:42:21.418487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:42:20.969020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:42:21.192304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:42:21.493263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:42:21.038962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:42:21.260473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-19T14:42:26.516581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도공사명공사기간공사현장주소세대수준공예정일시공사명전화번호행정동기준일자
위도1.0000.9541.0001.0001.0000.4060.0000.8920.9470.9310.000
경도0.9541.0001.0001.0001.0000.5280.0000.9521.0000.8710.084
공사명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
공사기간1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
공사현장주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
세대수0.4060.5281.0001.0001.0001.0000.4220.8531.0000.4220.000
준공예정일0.0000.0001.0001.0001.0000.4221.0000.0000.9590.8211.000
시공사명0.8920.9521.0001.0001.0000.8530.0001.0000.9370.8920.873
전화번호0.9471.0001.0001.0001.0001.0000.9590.9371.0000.9480.000
행정동0.9310.8711.0001.0001.0000.4220.8210.8920.9481.0000.000
기준일자0.0000.0841.0001.0001.0000.0001.0000.8730.0000.0001.000
2024-04-19T14:42:26.686917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도세대수행정동
위도1.0000.440-0.0960.744
경도0.4401.0000.2450.626
세대수-0.0960.2451.0000.163
행정동0.7440.6260.1631.000

Missing values

2024-04-19T14:42:21.620124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-19T14:42:21.801470image/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

위도경도공사명공사기간공사현장주소세대수준공예정일시공사명전화번호행정동담당부서기준일자
035.842353128.534684장기동 인터불고 라비다2017-10~2021-08대구광역시 달서구 장기동 548-31482021-08㈜인터불고건설053-802-4007장기동대구광역시 달서구 건축과2022-04-29
135.849396128.537987빌리브스카이2018-12~2022-06대구광역시 달서구 감삼동 141-55042022-06신세계건설㈜070-7896-5387감삼동대구광역시 달서구 건축과2022-04-29
235.847233128.533898힐스테이트감삼2019-05~2022-09대구광역시 달서구 감삼동 5563912022-09현대엔지니어링㈜070-7575-0832감삼동대구광역시 달서구 건축과2022-04-29
335.847137128.535137효성해링턴플레이스감삼2019-07~2023-03대구광역시 달서구 감삼동 560-12002023-03효성중공업㈜053-521-6932감삼동대구광역시 달서구 건축과2022-04-29
435.855427128.570921두류파크KCC스위첸2019-12~2022-10대구광역시 달서구 두류동 803-447852022-10㈜KCC건설053-627-7739두류동대구광역시 달서구 건축과2022-04-29
535.851607128.539463빌리브메트로뷰2019-06~2023-04대구광역시 달서구 죽전동 279-11762023-04신세계건설㈜070-7896-9093죽전동대구광역시 달서구 건축과2022-04-29
635.846952128.532158죽전역화성파크드림2019-09~2022-10대구광역시 달서구 감삼동 582-51442022-10화성산업㈜053-522-7003감삼동대구광역시 달서구 건축과2022-04-29
735.836307128.536393빌리브클라쎄2019-12~2023-07대구광역시 달서구 본동 7472352023-07신세계건설㈜070-7897-1329본동대구광역시 달서구 건축과2022-04-29
835.836321128.5373달서코아루더리브2019-11~2023-05대구광역시 달서구 본동 7521622023-05㈜이테크건설053-557-9825본동대구광역시 달서구 건축과2022-04-29
935.85265128.549844두류센트레빌더시티2020-04~2022-11대구광역시 달서구 두류동 631-403332022-11동부건설㈜053-622-9620두류동대구광역시 달서구 건축과2022-04-29
위도경도공사명공사기간공사현장주소세대수준공예정일시공사명전화번호행정동담당부서기준일자
2335.855938128.538452죽전역에일린의뜰아파트2021-05~2024-02대구광역시 달서구 죽전동 204-19592024-02아이에스동서㈜053-554-4915죽전동대구광역시 달서구 건축과2022-04-29
2435.840878128.532073달서SK뷰2021-08~2024-06대구광역시 달서구 본리동 43311962024-06SK에코플랜트㈜053-721-6525본리동대구광역시 달서구 건축과2022-04-29
2535.835776128.552041한양수자인더팰리시티아파트2020-11~2023-08대구광역시 달서구 송현동 80-1210212023-08㈜한양053-656-8086송현동대구광역시 달서구 건축과2022-04-29
2635.83705128.53746빌리브라디체아파트2021-10~2025-06대구광역시 달서구 본동 7605202025-06신세계건설㈜053-557-9513본동대구광역시 달서구 건축과2022-04-29
2735.844037128.535105해링턴플레이스감삼3차2021-11~2025-07대구광역시 달서구 감삼동 505-13632025-07효성중공업㈜053-557-8769감삼동대구광역시 달서구 건축과2022-04-29
2835.851542128.551707두류야외음악당 지역주택조합2021-12~2024-09대구광역시 달서구 두류동 638-194332024-09동부건설㈜053-721-6793두류동대구광역시 달서구 건축과2022-04-30
2935.858561128.569527두류 중흥 S-클래스2021-11~2024-12대구광역시 달서구 두류동 8194542024-12중흥토건㈜053-656-9101두류동대구광역시 달서구 건축과2022-05-01
3035.838725128.537903달서푸르지오시그니처2022-01~2026-03대구광역시 달서구 본리동 358-54542026-03㈜대우건설053-565-2015본리동대구광역시 달서구 건축과2022-05-02
3135.847353128.533201해링턴 플레이스 감삼 4차2022-03~2026-04대구광역시 달서구 감삼동 5534632026-04진흥기업㈜053-557-8444감삼동대구광역시 달서구 건축과2022-05-03
3235.836085128.535539달서롯데캐슬센트럴스카이2022-02~2025-12대구광역시 달서구 본동 863-24812025-12롯데건설㈜053-557-8444본동대구광역시 달서구 건축과2022-05-04