Overview

Dataset statistics

Number of variables12
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory103.4 B

Variable types

Numeric3
Text5
DateTime1
Categorical3

Dataset

Description대구광역시 달서구 내 공동주택 아파트 시공중인 현황에 대한 내용 및 정보가 담겨있음. (시공 중인 장소, 기간, 시공사명)
URLhttps://www.data.go.kr/data/15054184/fileData.do

Alerts

담당부서 has constant value ""Constant
기준일자 has constant value ""Constant
위도 is highly overall correlated with 행정동High correlation
행정동 is highly overall correlated with 위도High correlation
위도 has unique valuesUnique
경도 has unique valuesUnique
공사명 has unique valuesUnique
공사기간 has unique valuesUnique
공사현장주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:56:19.535497
Analysis finished2023-12-12 11:56:21.624525
Duration2.09 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.843231
Minimum35.809435
Maximum35.858561
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T20:56:21.712234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.809435
5-th percentile35.825202
Q135.836696
median35.845587
Q335.850311
95-th percentile35.856805
Maximum35.858561
Range0.04912587
Interquartile range (IQR)0.013615677

Descriptive statistics

Standard deviation0.010826193
Coefficient of variation (CV)0.00030204287
Kurtosis2.6627091
Mean35.843231
Median Absolute Deviation (MAD)0.0060263
Skewness-1.3225775
Sum1075.2969
Variance0.00011720645
MonotonicityNot monotonic
2023-12-12T20:56:21.879963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
35.84235345 1
 
3.3%
35.85751505 1
 
3.3%
35.84890769 1
 
3.3%
35.83484362 1
 
3.3%
35.83558526 1
 
3.3%
35.8365817 1
 
3.3%
35.84735342 1
 
3.3%
35.83872471 1
 
3.3%
35.85856106 1
 
3.3%
35.85154196 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
35.80943519 1
3.3%
35.81731345 1
3.3%
35.83484362 1
3.3%
35.83558526 1
3.3%
35.83577618 1
3.3%
35.8363069 1
3.3%
35.83632086 1
3.3%
35.8365817 1
3.3%
35.83703734 1
3.3%
35.83872471 1
3.3%
ValueCountFrequency (%)
35.85856106 1
3.3%
35.85751505 1
3.3%
35.85593763 1
3.3%
35.85549369 1
3.3%
35.85160671 1
3.3%
35.85154196 1
3.3%
35.8513773 1
3.3%
35.85065356 1
3.3%
35.84928447 1
3.3%
35.84890769 1
3.3%

경도
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.53946
Minimum128.53085
Maximum128.56953
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T20:56:22.042714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.53085
5-th percentile128.53218
Q1128.53425
median128.53646
Q3128.53843
95-th percentile128.55942
Maximum128.56953
Range0.0386736
Interquartile range (IQR)0.0041802

Descriptive statistics

Standard deviation0.0093289056
Coefficient of variation (CV)7.2576198 × 10-5
Kurtosis3.3867388
Mean128.53946
Median Absolute Deviation (MAD)0.0021733
Skewness1.9848966
Sum3856.1839
Variance8.702848 × 10-5
MonotonicityNot monotonic
2023-12-12T20:56:22.225675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
128.5346844 1
 
3.3%
128.5600637 1
 
3.3%
128.532304 1
 
3.3%
128.5370911 1
 
3.3%
128.5365206 1
 
3.3%
128.5354093 1
 
3.3%
128.5332014 1
 
3.3%
128.5379033 1
 
3.3%
128.5695266 1
 
3.3%
128.5517072 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
128.530853 1
3.3%
128.5320731 1
3.3%
128.532304 1
3.3%
128.5327051 1
3.3%
128.5329135 1
3.3%
128.5332014 1
3.3%
128.5333719 1
3.3%
128.534105 1
3.3%
128.5346844 1
3.3%
128.5350188 1
3.3%
ValueCountFrequency (%)
128.5695266 1
3.3%
128.5600637 1
3.3%
128.5586433 1
3.3%
128.5520405 1
3.3%
128.5517072 1
3.3%
128.541069 1
3.3%
128.539463 1
3.3%
128.5384516 1
3.3%
128.5383654 1
3.3%
128.5383236 1
3.3%

공사명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T20:56:22.553178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length10.333333
Min length5

Characters and Unicode

Total characters310
Distinct characters125
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

Unique30 ?
Unique (%)100.0%

Sample

1st row장기동 인터불고 라비다
2nd row효성해링턴플레이스감삼
3rd row빌리브메트로뷰
4th row빌리브클라쎄
5th row달서코아루더리브
ValueCountFrequency (%)
감삼 2
 
4.7%
장기동 1
 
2.3%
달서푸르지오시그니처 1
 
2.3%
한양수자인더팰리시티아파트 1
 
2.3%
빌리브라디체아파트 1
 
2.3%
해링턴플레이스감삼3차 1
 
2.3%
두류야외음악당 1
 
2.3%
지역주택조합 1
 
2.3%
두류 1
 
2.3%
중흥 1
 
2.3%
Other values (32) 32
74.4%
2023-12-12T20:56:23.087393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
트 15
 
4.8%
13
 
4.2%
스 12
 
3.9%
이 11
 
3.5%
아 11
 
3.5%
파 9
 
2.9%
리 9
 
2.9%
브 8
 
2.6%
삼 7
 
2.3%
서 6
 
1.9%
Other values (115) 209
67.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 290
93.5%
Space Separator 13
 
4.2%
Uppercase Letter 3
 
1.0%
Decimal Number 3
 
1.0%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 15
 
5.2%
스 12
 
4.1%
이 11
 
3.8%
아 11
 
3.8%
파 9
 
3.1%
리 9
 
3.1%
브 8
 
2.8%
삼 7
 
2.4%
서 6
 
2.1%
역 6
 
2.1%
Other values (108) 196
67.6%
Decimal Number
ValueCountFrequency (%)
3 1
33.3%
4 1
33.3%
2 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
S 2
66.7%
K 1
33.3%
Space Separator
ValueCountFrequency (%)
13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 290
93.5%
Common 17
 
5.5%
Latin 3
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 15
 
5.2%
스 12
 
4.1%
이 11
 
3.8%
아 11
 
3.8%
파 9
 
3.1%
리 9
 
3.1%
브 8
 
2.8%
삼 7
 
2.4%
서 6
 
2.1%
역 6
 
2.1%
Other values (108) 196
67.6%
Common
ValueCountFrequency (%)
13
76.5%
3 1
 
5.9%
4 1
 
5.9%
- 1
 
5.9%
2 1
 
5.9%
Latin
ValueCountFrequency (%)
S 2
66.7%
K 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 290
93.5%
ASCII 20
 
6.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
트 15
 
5.2%
스 12
 
4.1%
이 11
 
3.8%
아 11
 
3.8%
파 9
 
3.1%
리 9
 
3.1%
브 8
 
2.8%
삼 7
 
2.4%
서 6
 
2.1%
역 6
 
2.1%
Other values (108) 196
67.6%
ASCII
ValueCountFrequency (%)
13
65.0%
S 2
 
10.0%
3 1
 
5.0%
K 1
 
5.0%
4 1
 
5.0%
- 1
 
5.0%
2 1
 
5.0%

공사기간
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T20:56:23.461309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters450
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

Unique30 ?
Unique (%)100.0%

Sample

1st row2017-10~2023-08
2nd row2019-07~2023-05
3rd row2019-06~2023-06
4th row2019-12~2023-07
5th row2019-11~2023-05
ValueCountFrequency (%)
2017-10~2023-08 1
 
3.3%
2019-07~2023-05 1
 
3.3%
2022-06~2026-06 1
 
3.3%
2022-05~2026-06 1
 
3.3%
2022-02~2025-12 1
 
3.3%
2022-03~2026-04 1
 
3.3%
2022-01~2026-03 1
 
3.3%
2021-11~2024-12 1
 
3.3%
2021-12~2024-09 1
 
3.3%
2021-11~2025-07 1
 
3.3%
Other values (20) 20
66.7%
2023-12-12T20:56:23.890021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 132
29.3%
0 118
26.2%
- 60
13.3%
1 40
 
8.9%
~ 30
 
6.7%
6 15
 
3.3%
3 14
 
3.1%
4 14
 
3.1%
5 12
 
2.7%
7 8
 
1.8%
Other values (2) 7
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 360
80.0%
Dash Punctuation 60
 
13.3%
Math Symbol 30
 
6.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 132
36.7%
0 118
32.8%
1 40
 
11.1%
6 15
 
4.2%
3 14
 
3.9%
4 14
 
3.9%
5 12
 
3.3%
7 8
 
2.2%
9 5
 
1.4%
8 2
 
0.6%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%
Math Symbol
ValueCountFrequency (%)
~ 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 450
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 132
29.3%
0 118
26.2%
- 60
13.3%
1 40
 
8.9%
~ 30
 
6.7%
6 15
 
3.3%
3 14
 
3.1%
4 14
 
3.1%
5 12
 
2.7%
7 8
 
1.8%
Other values (2) 7
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 450
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 132
29.3%
0 118
26.2%
- 60
13.3%
1 40
 
8.9%
~ 30
 
6.7%
6 15
 
3.3%
3 14
 
3.1%
4 14
 
3.1%
5 12
 
2.7%
7 8
 
1.8%
Other values (2) 7
 
1.6%

공사현장주소
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T20:56:24.142370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length22
Mean length19
Min length16

Characters and Unicode

Total characters570
Distinct characters42
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

Unique30 ?
Unique (%)100.0%

Sample

1st row대구광역시 달서구 장기동 548-3
2nd row대구광역시 달서구 감삼동 560-1
3rd row대구광역시 달서구 죽전동 279-1
4th row대구광역시 달서구 본동 747
5th row대구광역시 달서구 본동 752
ValueCountFrequency (%)
대구광역시 30
24.2%
달서구 30
24.2%
감삼동 8
 
6.5%
본동 6
 
4.8%
두류동 4
 
3.2%
본리동 4
 
3.2%
죽전동 3
 
2.4%
외 2
 
1.6%
638-19 1
 
0.8%
204-1 1
 
0.8%
Other values (35) 35
28.2%
2023-12-12T20:56:24.591533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
94
16.5%
구 60
 
10.5%
대 30
 
5.3%
광 30
 
5.3%
역 30
 
5.3%
시 30
 
5.3%
달 30
 
5.3%
서 30
 
5.3%
동 30
 
5.3%
- 22
 
3.9%
Other values (32) 184
32.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 334
58.6%
Decimal Number 120
 
21.1%
Space Separator 94
 
16.5%
Dash Punctuation 22
 
3.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 60
18.0%
대 30
9.0%
광 30
9.0%
역 30
9.0%
시 30
9.0%
달 30
9.0%
서 30
9.0%
동 30
9.0%
본 10
 
3.0%
감 8
 
2.4%
Other values (20) 46
13.8%
Decimal Number
ValueCountFrequency (%)
5 18
15.0%
1 18
15.0%
3 16
13.3%
7 12
10.0%
8 11
9.2%
4 11
9.2%
2 10
8.3%
6 8
6.7%
0 8
6.7%
9 8
6.7%
Space Separator
ValueCountFrequency (%)
94
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 334
58.6%
Common 236
41.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 60
18.0%
대 30
9.0%
광 30
9.0%
역 30
9.0%
시 30
9.0%
달 30
9.0%
서 30
9.0%
동 30
9.0%
본 10
 
3.0%
감 8
 
2.4%
Other values (20) 46
13.8%
Common
ValueCountFrequency (%)
94
39.8%
- 22
 
9.3%
5 18
 
7.6%
1 18
 
7.6%
3 16
 
6.8%
7 12
 
5.1%
8 11
 
4.7%
4 11
 
4.7%
2 10
 
4.2%
6 8
 
3.4%
Other values (2) 16
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 334
58.6%
ASCII 236
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
94
39.8%
- 22
 
9.3%
5 18
 
7.6%
1 18
 
7.6%
3 16
 
6.8%
7 12
 
5.1%
8 11
 
4.7%
4 11
 
4.7%
2 10
 
4.2%
6 8
 
3.4%
Other values (2) 16
 
6.8%
Hangul
ValueCountFrequency (%)
구 60
18.0%
대 30
9.0%
광 30
9.0%
역 30
9.0%
시 30
9.0%
달 30
9.0%
서 30
9.0%
동 30
9.0%
본 10
 
3.0%
감 8
 
2.4%
Other values (20) 46
13.8%

세대수
Real number (ℝ)

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean407.23333
Minimum80
Maximum1196
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T20:56:24.763210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum80
5-th percentile103.25
Q1200
median361.5
Q3475.75
95-th percentile1007.05
Maximum1196
Range1116
Interquartile range (IQR)275.75

Descriptive statistics

Standard deviation289.06612
Coefficient of variation (CV)0.70982921
Kurtosis1.4436652
Mean407.23333
Median Absolute Deviation (MAD)145
Skewness1.3914531
Sum12217
Variance83559.22
MonotonicityNot monotonic
2023-12-12T20:56:24.913217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
454 2
 
6.7%
200 2
 
6.7%
148 1
 
3.3%
480 1
 
3.3%
164 1
 
3.3%
360 1
 
3.3%
272 1
 
3.3%
481 1
 
3.3%
463 1
 
3.3%
433 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
80 1
3.3%
92 1
3.3%
117 1
3.3%
148 1
3.3%
162 1
3.3%
164 1
3.3%
176 1
3.3%
200 2
6.7%
230 1
3.3%
235 1
3.3%
ValueCountFrequency (%)
1196 1
3.3%
1021 1
3.3%
990 1
3.3%
959 1
3.3%
555 1
3.3%
520 1
3.3%
481 1
3.3%
480 1
3.3%
463 1
3.3%
454 2
6.7%

준공예정일
Date

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2023-01-24 00:00:00
Maximum2026-06-12 00:00:00
2023-12-12T20:56:25.053234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:56:25.203794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

시공사명
Text

Distinct23
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T20:56:25.463000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length5.7666667
Min length3

Characters and Unicode

Total characters173
Distinct characters64
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

Unique19 ?
Unique (%)63.3%

Sample

1st row㈜인터불고건설
2nd row효성중공업㈜
3rd row신세계건설㈜
4th row신세계건설㈜
5th row㈜이테크건설
ValueCountFrequency (%)
효성중공업㈜ 4
 
13.3%
신세계건설㈜ 3
 
10.0%
㈜이테크건설 2
 
6.7%
㈜대우건설 2
 
6.7%
㈜한양 1
 
3.3%
㈜인터불고건설 1
 
3.3%
아이에스동서㈜ 1
 
3.3%
gs건설 1
 
3.3%
포스코건설 1
 
3.3%
롯데건설㈜ 1
 
3.3%
Other values (13) 13
43.3%
2023-12-12T20:56:25.898783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 26
 
15.0%
건 18
 
10.4%
설 17
 
9.8%
중 5
 
2.9%
업 5
 
2.9%
효 4
 
2.3%
성 4
 
2.3%
대 4
 
2.3%
이 4
 
2.3%
계 4
 
2.3%
Other values (54) 82
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 143
82.7%
Other Symbol 26
 
15.0%
Uppercase Letter 4
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
건 18
 
12.6%
설 17
 
11.9%
중 5
 
3.5%
업 5
 
3.5%
효 4
 
2.8%
성 4
 
2.8%
대 4
 
2.8%
이 4
 
2.8%
계 4
 
2.8%
세 4
 
2.8%
Other values (50) 74
51.7%
Uppercase Letter
ValueCountFrequency (%)
S 2
50.0%
G 1
25.0%
K 1
25.0%
Other Symbol
ValueCountFrequency (%)
㈜ 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 169
97.7%
Latin 4
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 26
 
15.4%
건 18
 
10.7%
설 17
 
10.1%
중 5
 
3.0%
업 5
 
3.0%
효 4
 
2.4%
성 4
 
2.4%
대 4
 
2.4%
이 4
 
2.4%
계 4
 
2.4%
Other values (51) 78
46.2%
Latin
ValueCountFrequency (%)
S 2
50.0%
G 1
25.0%
K 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 143
82.7%
None 26
 
15.0%
ASCII 4
 
2.3%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 26
100.0%
Hangul
ValueCountFrequency (%)
건 18
 
12.6%
설 17
 
11.9%
중 5
 
3.5%
업 5
 
3.5%
효 4
 
2.8%
성 4
 
2.8%
대 4
 
2.8%
이 4
 
2.8%
계 4
 
2.8%
세 4
 
2.8%
Other values (50) 74
51.7%
ASCII
ValueCountFrequency (%)
S 2
50.0%
G 1
25.0%
K 1
25.0%

전화번호
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T20:56:26.156917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.166667
Min length12

Characters and Unicode

Total characters365
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

Unique30 ?
Unique (%)100.0%

Sample

1st row053-802-4007
2nd row053-521-6932
3rd row070-7896-9093
4th row070-7897-1329
5th row053-557-9825
ValueCountFrequency (%)
053-802-4007 1
 
3.3%
053-521-6932 1
 
3.3%
02-2154-6926 1
 
3.3%
070-4261-1081 1
 
3.3%
053-557-9184 1
 
3.3%
053-557-8444 1
 
3.3%
053-565-2015 1
 
3.3%
053-656-9101 1
 
3.3%
053-721-6793 1
 
3.3%
053-557-8769 1
 
3.3%
Other values (20) 20
66.7%
2023-12-12T20:56:26.611073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 62
17.0%
- 60
16.4%
0 49
13.4%
3 36
9.9%
7 28
7.7%
6 24
 
6.6%
9 24
 
6.6%
2 23
 
6.3%
8 20
 
5.5%
1 20
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 305
83.6%
Dash Punctuation 60
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 62
20.3%
0 49
16.1%
3 36
11.8%
7 28
9.2%
6 24
 
7.9%
9 24
 
7.9%
2 23
 
7.5%
8 20
 
6.6%
1 20
 
6.6%
4 19
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 365
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 62
17.0%
- 60
16.4%
0 49
13.4%
3 36
9.9%
7 28
7.7%
6 24
 
6.6%
9 24
 
6.6%
2 23
 
6.3%
8 20
 
5.5%
1 20
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 365
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 62
17.0%
- 60
16.4%
0 49
13.4%
3 36
9.9%
7 28
7.7%
6 24
 
6.6%
9 24
 
6.6%
2 23
 
6.3%
8 20
 
5.5%
1 20
 
5.5%

행정동
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
감삼동
8 
본리동
4 
두류동
4 
본동
4 
죽전동
3 
Other values (6)
7 

Length

Max length3
Median length3
Mean length2.9333333
Min length2

Unique

Unique5 ?
Unique (%)16.7%

Sample

1st row장기동
2nd row감삼동
3rd row죽전동
4th row본동
5th row본동

Common Values

ValueCountFrequency (%)
감삼동 8
26.7%
본리동 4
13.3%
두류동 4
13.3%
본동 4
13.3%
죽전동 3
 
10.0%
본동 2
 
6.7%
장기동 1
 
3.3%
진천동 1
 
3.3%
용산동 1
 
3.3%
상인동 1
 
3.3%

Length

2023-12-12T20:56:26.782737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
감삼동 8
26.7%
본동 6
20.0%
본리동 4
13.3%
두류동 4
13.3%
죽전동 3
 
10.0%
장기동 1
 
3.3%
진천동 1
 
3.3%
용산동 1
 
3.3%
상인동 1
 
3.3%
송현동 1
 
3.3%

담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
대구광역시 달서구 건축과
30 

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 30
100.0%

Length

2023-12-12T20:56:26.935207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:56:27.059512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 30
33.3%
달서구 30
33.3%
건축과 30
33.3%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2022-12-31
30 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-12-31
2nd row2022-12-31
3rd row2022-12-31
4th row2022-12-31
5th row2022-12-31

Common Values

ValueCountFrequency (%)
2022-12-31 30
100.0%

Length

2023-12-12T20:56:27.193224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:56:27.304611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-12-31 30
100.0%

Interactions

2023-12-12T20:56:20.786498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:56:20.018889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:56:20.390070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:56:20.913185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:56:20.132969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:56:20.521618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:56:21.059265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:56:20.274073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:56:20.667235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:56:27.416164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도공사명공사기간공사현장주소세대수준공예정일시공사명전화번호행정동
위도1.0000.8181.0001.0001.0000.7240.8030.8931.0000.930
경도0.8181.0001.0001.0001.0000.0001.0000.8391.0000.748
공사명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
공사기간1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
공사현장주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
세대수0.7240.0001.0001.0001.0001.0000.0000.8751.0000.723
준공예정일0.8031.0001.0001.0001.0000.0001.0000.8811.0000.918
시공사명0.8930.8391.0001.0001.0000.8750.8811.0001.0000.908
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
행정동0.9300.7481.0001.0001.0000.7230.9180.9081.0001.000
2023-12-12T20:56:27.559183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도세대수행정동
위도1.0000.207-0.2630.733
경도0.2071.0000.1060.437
세대수-0.2630.1061.0000.403
행정동0.7330.4370.4031.000

Missing values

2023-12-12T20:56:21.236142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:56:21.535282image/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 라비다2017-10~2023-08대구광역시 달서구 장기동 548-31482023-08-21㈜인터불고건설053-802-4007장기동대구광역시 달서구 건축과2022-12-31
135.847137128.535137효성해링턴플레이스감삼2019-07~2023-05대구광역시 달서구 감삼동 560-12002023-05-23효성중공업㈜053-521-6932감삼동대구광역시 달서구 건축과2022-12-31
235.851607128.539463빌리브메트로뷰2019-06~2023-06대구광역시 달서구 죽전동 279-11762023-06-23신세계건설㈜070-7896-9093죽전동대구광역시 달서구 건축과2022-12-31
335.836307128.536393빌리브클라쎄2019-12~2023-07대구광역시 달서구 본동 7472352023-07-23신세계건설㈜070-7897-1329본동대구광역시 달서구 건축과2022-12-31
435.836321128.5373달서코아루더리브2019-11~2023-05대구광역시 달서구 본동 7521622023-05-23㈜이테크건설053-557-9825본동대구광역시 달서구 건축과2022-12-31
535.839554128.537865뉴센트럴두산위브더제니스오피스텔2020-03~2024-02대구광역시 달서구 본리동 363-23162024-02-24두산건설㈜053-525-9805본리동대구광역시 달서구 건축과2022-12-31
635.817313128.530853월배라온프라이빗디엘아파트2020-04~2024-11대구광역시 달서구 진천동 38-45552024-11-24라온건설㈜053-643-1997진천동대구광역시 달서구 건축과2022-12-31
735.851377128.538365죽전역시티프라디움2020-05~2023-10대구광역시 달서구 죽전동 277-5802023-10-23주식회사시티건설053-557-8233죽전동대구광역시 달서구 건축과2022-12-31
835.850654128.532914대구용산자이2020-05~2024-02대구광역시 달서구 용산동 208-344292024-02-23지에스건설㈜02-2154-8416용산동대구광역시 달서구 건축과2022-12-31
935.84802128.533372죽전역코아루더리브2020-06~2023-11대구광역시 달서구 감삼동 5732742023-11-23㈜이테크건설053-557-8132감삼동대구광역시 달서구 건축과2022-12-31
위도경도공사명공사기간공사현장주소세대수준공예정일시공사명전화번호행정동담당부서기준일자
2035.837037128.538324빌리브라디체아파트2021-10~2025-06대구광역시 달서구 본동 7615202025-06-25신세계건설㈜053-557-9513본동대구광역시 달서구 건축과2022-12-31
2135.844037128.535105해링턴플레이스감삼3차2021-11~2025-07대구광역시 달서구 감삼동 505-13632025-07-25효성중공업㈜053-557-8769감삼동대구광역시 달서구 건축과2022-12-31
2235.851542128.551707두류야외음악당 지역주택조합2021-12~2024-09대구광역시 달서구 두류동 638-194332024-09-24동부건설㈜053-721-6793두류동대구광역시 달서구 건축과2022-12-31
2335.858561128.569527두류 중흥 S-클래스2021-11~2024-12대구광역시 달서구 두류동 8194542024-12-24중흥토건㈜053-656-9101두류동대구광역시 달서구 건축과2022-12-31
2435.838725128.537903달서푸르지오시그니처2022-01~2026-03대구광역시 달서구 본리동 358-54542026-03-26㈜대우건설053-565-2015본리동대구광역시 달서구 건축과2022-12-31
2535.847353128.533201해링턴 플레이스 감삼 4차2022-03~2026-04대구광역시 달서구 감삼동 5534632026-04-26효성중공업㈜053-557-8444감삼동대구광역시 달서구 건축과2022-12-31
2635.836582128.535409달서롯데캐슬센트럴스카이2022-02~2025-12대구광역시 달서구 본동 7434812025-12-25롯데건설㈜053-557-9184본동대구광역시 달서구 건축과2022-12-31
2735.835585128.536521더샵달서센트엘로2022-05~2026-06대구광역시 달서구 본동 888-2번지 외 10필지2722026-06-01포스코건설070-4261-1081본동대구광역시 달서구 건축과2022-12-31
2835.834844128.537091본리동 자이2022-06~2026-06대구광역시 달서구 본동 661-9번지 외 15필지3602026-06-12GS건설02-2154-6926본동대구광역시 달서구 건축과2022-12-31
2935.848908128.532304삼정 브리티시 감삼2022-04~2025-10대구광역시 달서구 감삼동 599-561642025-10-31㈜삼정053-556-6923감삼동대구광역시 달서구 건축과2022-12-31