Overview

Dataset statistics

Number of variables4
Number of observations80
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory34.6 B

Variable types

Numeric1
Categorical1
Text1
Unsupported1

Dataset

Description파일 다운로드
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-22213/F/1/datasetView.do

Alerts

종로구 has constant value ""Constant
1 has unique valuesUnique
110외1 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-21 00:19:56.249915
Analysis finished2024-04-21 00:19:57.645550
Duration1.4 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

1
Real number (ℝ)

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.5
Minimum2
Maximum81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-04-21T09:19:57.722974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5.95
Q121.75
median41.5
Q361.25
95-th percentile77.05
Maximum81
Range79
Interquartile range (IQR)39.5

Descriptive statistics

Standard deviation23.2379
Coefficient of variation (CV)0.5599494
Kurtosis-1.2
Mean41.5
Median Absolute Deviation (MAD)20
Skewness0
Sum3320
Variance540
MonotonicityStrictly increasing
2024-04-21T09:19:58.031009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 1
 
1.2%
43 1
 
1.2%
61 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
56 1
 
1.2%
55 1
 
1.2%
54 1
 
1.2%
Other values (70) 70
87.5%
ValueCountFrequency (%)
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
11 1
1.2%
ValueCountFrequency (%)
81 1
1.2%
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%
76 1
1.2%
75 1
1.2%
74 1
1.2%
73 1
1.2%
72 1
1.2%

종로구
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
종로구
80 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
종로구 80
100.0%

Length

2024-04-21T09:19:58.164662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T09:19:58.259190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종로구 80
100.0%

견지동
Text

Distinct40
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2024-04-21T09:19:58.472006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.175
Min length2

Characters and Unicode

Total characters254
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

Unique21 ?
Unique (%)26.2%

Sample

1st row견지동
2nd row견지동
3rd row경운동
4th row계동
5th row관수동
ValueCountFrequency (%)
내수동 6
 
7.5%
숭인동 6
 
7.5%
청진동 5
 
6.2%
신문로1가 5
 
6.2%
수송동 5
 
6.2%
연건동 4
 
5.0%
관수동 3
 
3.8%
인의동 3
 
3.8%
공평동 2
 
2.5%
견지동 2
 
2.5%
Other values (30) 39
48.8%
2024-04-21T09:19:58.815802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 70
27.6%
수 14
 
5.5%
가 10
 
3.9%
로 10
 
3.9%
신 9
 
3.5%
인 9
 
3.5%
문 7
 
2.8%
내 7
 
2.8%
1 6
 
2.4%
숭 6
 
2.4%
Other values (49) 106
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 244
96.1%
Decimal Number 10
 
3.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 70
28.7%
수 14
 
5.7%
가 10
 
4.1%
로 10
 
4.1%
신 9
 
3.7%
인 9
 
3.7%
문 7
 
2.9%
내 7
 
2.9%
숭 6
 
2.5%
연 6
 
2.5%
Other values (46) 96
39.3%
Decimal Number
ValueCountFrequency (%)
1 6
60.0%
2 3
30.0%
6 1
 
10.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 244
96.1%
Common 10
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 70
28.7%
수 14
 
5.7%
가 10
 
4.1%
로 10
 
4.1%
신 9
 
3.7%
인 9
 
3.7%
문 7
 
2.9%
내 7
 
2.9%
숭 6
 
2.5%
연 6
 
2.5%
Other values (46) 96
39.3%
Common
ValueCountFrequency (%)
1 6
60.0%
2 3
30.0%
6 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 244
96.1%
ASCII 10
 
3.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 70
28.7%
수 14
 
5.7%
가 10
 
4.1%
로 10
 
4.1%
신 9
 
3.7%
인 9
 
3.7%
문 7
 
2.9%
내 7
 
2.9%
숭 6
 
2.5%
연 6
 
2.5%
Other values (46) 96
39.3%
ASCII
ValueCountFrequency (%)
1 6
60.0%
2 3
30.0%
6 1
 
10.0%

110외1
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size772.0 B

Interactions

2024-04-21T09:19:57.351436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T09:19:58.906656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
1견지동
11.0000.972
견지동0.9721.000

Missing values

2024-04-21T09:19:57.531286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T09:19:57.610015image/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

1종로구견지동110외1
02종로구견지동27-11외5
13종로구견지동65-1
24종로구경운동89-4
35종로구계동1-36
46종로구관수동59-7
57종로구관수동20
68종로구관수동124
79종로구관철동155
810종로구관철동33-1
911종로구구기동105-1
1종로구견지동110외1
7072종로구교북동126
7173종로구연견동28-21
7274종로구공평동17
7375종로구신문로1가42
7476종로구관훈동155-2
7577종로구낙원동134-2
7678종로구원남동49-17
7779종로구평동234
7880종로구신문로2가171
7981종로구숭인동217-16