Overview

Dataset statistics

Number of variables5
Number of observations72
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 KiB
Average record size in memory45.8 B

Variable types

Text1
Numeric4

Dataset

Description한국부동산원(구.한국감정원)에서 제공하는 상업용부동산 임대동향조사 중 오피스의 분기별 투자수익률 데이터입니다. - (단위 : %) - 공표시기 : 계간(분기)
Author한국부동산원
URLhttps://www.data.go.kr/data/15101091/fileData.do

Alerts

2021_1분기 is highly overall correlated with 2021_2분기 and 2 other fieldsHigh correlation
2021_2분기 is highly overall correlated with 2021_1분기 and 2 other fieldsHigh correlation
2021_3분기 is highly overall correlated with 2021_1분기 and 2 other fieldsHigh correlation
2021_4분기 is highly overall correlated with 2021_1분기 and 2 other fieldsHigh correlation
지역 has unique valuesUnique

Reproduction

Analysis started2024-04-17 09:43:13.867806
Analysis finished2024-04-17 09:43:15.539592
Duration1.67 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역
Text

UNIQUE 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size708.0 B
2024-04-17T18:43:15.678048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length6.8611111
Min length2

Characters and Unicode

Total characters494
Distinct characters100
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

Unique72 ?
Unique (%)100.0%

Sample

1st row서울
2nd row서울 도심
3rd row서울 도심 광화문
4th row서울 도심 남대문
5th row서울 도심 동대문
ValueCountFrequency (%)
서울 34
21.7%
기타 11
 
7.0%
도심 9
 
5.7%
강남 8
 
5.1%
부산 7
 
4.5%
여의도마포 5
 
3.2%
경기 5
 
3.2%
인천 4
 
2.5%
대구 4
 
2.5%
대전 4
 
2.5%
Other values (62) 66
42.0%
2024-04-17T18:43:16.005585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
85
 
17.2%
울 37
 
7.5%
서 36
 
7.3%
대 18
 
3.6%
산 18
 
3.6%
도 17
 
3.4%
남 16
 
3.2%
기 16
 
3.2%
타 12
 
2.4%
심 11
 
2.2%
Other values (90) 228
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 405
82.0%
Space Separator 85
 
17.2%
Other Punctuation 4
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
울 37
 
9.1%
서 36
 
8.9%
대 18
 
4.4%
산 18
 
4.4%
도 17
 
4.2%
남 16
 
4.0%
기 16
 
4.0%
타 12
 
3.0%
심 11
 
2.7%
부 11
 
2.7%
Other values (88) 213
52.6%
Space Separator
ValueCountFrequency (%)
85
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 405
82.0%
Common 89
 
18.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
울 37
 
9.1%
서 36
 
8.9%
대 18
 
4.4%
산 18
 
4.4%
도 17
 
4.2%
남 16
 
4.0%
기 16
 
4.0%
타 12
 
3.0%
심 11
 
2.7%
부 11
 
2.7%
Other values (88) 213
52.6%
Common
ValueCountFrequency (%)
85
95.5%
/ 4
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 405
82.0%
ASCII 89
 
18.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
85
95.5%
/ 4
 
4.5%
Hangul
ValueCountFrequency (%)
울 37
 
9.1%
서 36
 
8.9%
대 18
 
4.4%
산 18
 
4.4%
도 17
 
4.2%
남 16
 
4.0%
기 16
 
4.0%
타 12
 
3.0%
심 11
 
2.7%
부 11
 
2.7%
Other values (88) 213
52.6%

2021_1분기
Real number (ℝ)

HIGH CORRELATION 

Distinct68
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9015278
Minimum0.76
Maximum3.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2024-04-17T18:43:16.133974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.76
5-th percentile0.9895
Q11.5675
median1.9
Q32.2375
95-th percentile2.6835
Maximum3.23
Range2.47
Interquartile range (IQR)0.67

Descriptive statistics

Standard deviation0.50098118
Coefficient of variation (CV)0.26346246
Kurtosis-0.058095627
Mean1.9015278
Median Absolute Deviation (MAD)0.335
Skewness-0.13724928
Sum136.91
Variance0.25098214
MonotonicityNot monotonic
2024-04-17T18:43:16.251679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.2 2
 
2.8%
1.93 2
 
2.8%
1.85 2
 
2.8%
1.9 2
 
2.8%
2.16 1
 
1.4%
1.14 1
 
1.4%
1.26 1
 
1.4%
1.61 1
 
1.4%
0.76 1
 
1.4%
1.03 1
 
1.4%
Other values (58) 58
80.6%
ValueCountFrequency (%)
0.76 1
1.4%
0.82 1
1.4%
0.93 1
1.4%
0.94 1
1.4%
1.03 1
1.4%
1.14 1
1.4%
1.16 1
1.4%
1.26 1
1.4%
1.31 1
1.4%
1.35 1
1.4%
ValueCountFrequency (%)
3.23 1
1.4%
2.77 1
1.4%
2.71 1
1.4%
2.7 1
1.4%
2.67 1
1.4%
2.63 1
1.4%
2.48 1
1.4%
2.45 1
1.4%
2.44 1
1.4%
2.43 1
1.4%

2021_2분기
Real number (ℝ)

HIGH CORRELATION 

Distinct59
Distinct (%)81.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9977778
Minimum0.63
Maximum3.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2024-04-17T18:43:16.383359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.63
5-th percentile1.0355
Q11.7625
median2.035
Q32.3425
95-th percentile2.7735
Maximum3.06
Range2.43
Interquartile range (IQR)0.58

Descriptive statistics

Standard deviation0.53284308
Coefficient of variation (CV)0.2667179
Kurtosis0.018282279
Mean1.9977778
Median Absolute Deviation (MAD)0.3
Skewness-0.47049563
Sum143.84
Variance0.28392175
MonotonicityNot monotonic
2024-04-17T18:43:16.528278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.77 3
 
4.2%
1.91 3
 
4.2%
2.32 2
 
2.8%
2.58 2
 
2.8%
2.31 2
 
2.8%
2.15 2
 
2.8%
1.85 2
 
2.8%
2.17 2
 
2.8%
2.06 2
 
2.8%
2.36 2
 
2.8%
Other values (49) 50
69.4%
ValueCountFrequency (%)
0.63 1
1.4%
0.77 1
1.4%
0.86 1
1.4%
1.03 1
1.4%
1.04 1
1.4%
1.07 1
1.4%
1.12 1
1.4%
1.2 1
1.4%
1.21 1
1.4%
1.44 1
1.4%
ValueCountFrequency (%)
3.06 1
1.4%
3.02 1
1.4%
2.8 1
1.4%
2.79 1
1.4%
2.76 1
1.4%
2.71 1
1.4%
2.67 1
1.4%
2.64 1
1.4%
2.63 1
1.4%
2.58 2
2.8%

2021_3분기
Real number (ℝ)

HIGH CORRELATION 

Distinct56
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7277778
Minimum0.82
Maximum2.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2024-04-17T18:43:16.642006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.82
5-th percentile1.0395
Q11.485
median1.765
Q32.06
95-th percentile2.2735
Maximum2.44
Range1.62
Interquartile range (IQR)0.575

Descriptive statistics

Standard deviation0.38851187
Coefficient of variation (CV)0.22486217
Kurtosis-0.51354663
Mean1.7277778
Median Absolute Deviation (MAD)0.295
Skewness-0.43245422
Sum124.4
Variance0.15094147
MonotonicityNot monotonic
2024-04-17T18:43:16.768343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.06 4
 
5.6%
2.07 3
 
4.2%
1.98 3
 
4.2%
1.82 2
 
2.8%
2.1 2
 
2.8%
1.61 2
 
2.8%
1.8 2
 
2.8%
1.47 2
 
2.8%
1.13 2
 
2.8%
2.12 2
 
2.8%
Other values (46) 48
66.7%
ValueCountFrequency (%)
0.82 1
1.4%
0.84 1
1.4%
0.93 1
1.4%
0.99 1
1.4%
1.08 1
1.4%
1.13 2
2.8%
1.18 1
1.4%
1.23 1
1.4%
1.24 1
1.4%
1.26 1
1.4%
ValueCountFrequency (%)
2.44 1
1.4%
2.36 1
1.4%
2.32 1
1.4%
2.29 1
1.4%
2.26 1
1.4%
2.21 1
1.4%
2.15 2
2.8%
2.13 1
1.4%
2.12 2
2.8%
2.11 1
1.4%

2021_4분기
Real number (ℝ)

HIGH CORRELATION 

Distinct63
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0684722
Minimum0.44
Maximum3.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2024-04-17T18:43:16.895113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.44
5-th percentile1.2565
Q11.715
median2.06
Q32.3825
95-th percentile2.9425
Maximum3.26
Range2.82
Interquartile range (IQR)0.6675

Descriptive statistics

Standard deviation0.53834033
Coefficient of variation (CV)0.26025988
Kurtosis0.19578701
Mean2.0684722
Median Absolute Deviation (MAD)0.33
Skewness-0.13388148
Sum148.93
Variance0.28981031
MonotonicityNot monotonic
2024-04-17T18:43:17.006187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.24 2
 
2.8%
1.98 2
 
2.8%
1.88 2
 
2.8%
2.91 2
 
2.8%
2.34 2
 
2.8%
2.28 2
 
2.8%
2.65 2
 
2.8%
2.39 2
 
2.8%
2.07 2
 
2.8%
2.04 1
 
1.4%
Other values (53) 53
73.6%
ValueCountFrequency (%)
0.44 1
1.4%
1.1 1
1.4%
1.15 1
1.4%
1.24 1
1.4%
1.27 1
1.4%
1.33 1
1.4%
1.39 1
1.4%
1.44 1
1.4%
1.45 1
1.4%
1.47 1
1.4%
ValueCountFrequency (%)
3.26 1
1.4%
3.04 1
1.4%
3.0 1
1.4%
2.97 1
1.4%
2.92 1
1.4%
2.91 2
2.8%
2.84 1
1.4%
2.83 1
1.4%
2.82 1
1.4%
2.65 2
2.8%

Interactions

2024-04-17T18:43:15.117876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T18:43:14.023001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T18:43:14.276748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T18:43:14.543400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T18:43:15.181273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T18:43:14.084410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T18:43:14.337281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T18:43:14.610748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T18:43:15.259130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T18:43:14.143927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T18:43:14.400194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T18:43:14.685180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T18:43:15.336923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T18:43:14.215866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T18:43:14.477900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T18:43:14.764980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-17T18:43:17.095251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역2021_1분기2021_2분기2021_3분기2021_4분기
지역1.0001.0001.0001.0001.000
2021_1분기1.0001.0000.7240.7560.422
2021_2분기1.0000.7241.0000.7550.633
2021_3분기1.0000.7560.7551.0000.669
2021_4분기1.0000.4220.6330.6691.000
2024-04-17T18:43:17.188471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2021_1분기2021_2분기2021_3분기2021_4분기
2021_1분기1.0000.7860.6670.547
2021_2분기0.7861.0000.7610.636
2021_3분기0.6670.7611.0000.757
2021_4분기0.5470.6360.7571.000

Missing values

2024-04-17T18:43:15.428926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-17T18:43:15.508290image/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

지역2021_1분기2021_2분기2021_3분기2021_4분기
0서울2.162.321.92.24
1서울 도심1.882.11.661.85
2서울 도심 광화문2.22.261.732.07
3서울 도심 남대문1.892.442.292.39
4서울 도심 동대문1.852.411.611.33
5서울 도심 명동0.931.030.840.44
6서울 도심 시청1.961.771.181.92
7서울 도심 을지로2.172.642.072.21
8서울 도심 종로1.791.861.611.98
9서울 도심 충무로1.411.531.131.15
지역2021_1분기2021_2분기2021_3분기2021_4분기
62경기 일산라페스타2.42.322.01.78
63경기 평촌범계2.231.991.981.9
64강원1.731.661.451.98
65충북1.431.481.571.39
66충남2.221.912.011.72
67전북1.481.811.231.88
68전남1.351.211.081.24
69경북1.821.511.592.04
70경남1.41.621.261.45
71제주0.821.21.391.55