Overview

Dataset statistics

Number of variables22
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.8 KiB
Average record size in memory192.3 B

Variable types

Categorical11
Numeric11

Alerts

bhf_cd has constant value ""Constant
bhf_nm has constant value ""Constant
fstvl_nm is highly imbalanced (80.6%)Imbalance
opar_nm is highly imbalanced (80.6%)Imbalance
fstvl_cn is highly imbalanced (80.6%)Imbalance
tel_no is highly imbalanced (80.6%)Imbalance
hmpg_url is highly imbalanced (80.6%)Imbalance
fclty_road_nm_addr is highly imbalanced (80.6%)Imbalance
lnm_addr is highly imbalanced (80.6%)Imbalance
opar_la is highly imbalanced (80.6%)Imbalance
opar_lo is highly imbalanced (80.6%)Imbalance
mesure_de has unique valuesUnique
hghet_tp_occrrnc_de has unique valuesUnique
lwet_tp_occrrnc_de has unique valuesUnique

Reproduction

Analysis started2023-12-10 10:11:49.825394
Analysis finished2023-12-10 10:11:50.109815
Duration0.28 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

fstvl_nm
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2016 대구약령시한방문화축제
97 
희망달서 큰잔치
 
3

Length

Max length16
Median length16
Mean length15.76
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2016 대구약령시한방문화축제
2nd row희망달서 큰잔치
3rd row2016 대구약령시한방문화축제
4th row2016 대구약령시한방문화축제
5th row2016 대구약령시한방문화축제

Common Values

ValueCountFrequency (%)
2016 대구약령시한방문화축제 97
97.0%
희망달서 큰잔치 3
 
3.0%

Length

2023-12-10T19:11:50.254956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:11:50.439013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2016 97
48.5%
대구약령시한방문화축제 97
48.5%
희망달서 3
 
1.5%
큰잔치 3
 
1.5%

opar_nm
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
약령시(약전골목) 일원
97 
웃는얼굴아트센터
 
3

Length

Max length12
Median length12
Mean length11.88
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row약령시(약전골목) 일원
2nd row웃는얼굴아트센터
3rd row약령시(약전골목) 일원
4th row약령시(약전골목) 일원
5th row약령시(약전골목) 일원

Common Values

ValueCountFrequency (%)
약령시(약전골목) 일원 97
97.0%
웃는얼굴아트센터 3
 
3.0%

Length

2023-12-10T19:11:50.635410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:11:50.941699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
약령시(약전골목 97
49.2%
일원 97
49.2%
웃는얼굴아트센터 3
 
1.5%

fstvl_cn
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
경연, 참여, 체험, 전시, 공연, 먹거리 등
97 
희망가득체험부스, 다문화 어울림제, 축하 콘서트 등
 
3

Length

Max length28
Median length25
Mean length25.09
Min length25

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경연, 참여, 체험, 전시, 공연, 먹거리 등
2nd row희망가득체험부스, 다문화 어울림제, 축하 콘서트 등
3rd row경연, 참여, 체험, 전시, 공연, 먹거리 등
4th row경연, 참여, 체험, 전시, 공연, 먹거리 등
5th row경연, 참여, 체험, 전시, 공연, 먹거리 등

Common Values

ValueCountFrequency (%)
경연, 참여, 체험, 전시, 공연, 먹거리 등 97
97.0%
희망가득체험부스, 다문화 어울림제, 축하 콘서트 등 3
 
3.0%

Length

2023-12-10T19:11:51.121544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:11:51.293267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
등 100
14.3%
경연 97
13.9%
참여 97
13.9%
체험 97
13.9%
전시 97
13.9%
공연 97
13.9%
먹거리 97
13.9%
희망가득체험부스 3
 
0.4%
다문화 3
 
0.4%
어울림제 3
 
0.4%
Other values (2) 6
 
0.9%

tel_no
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
536612044
97 
535849711
 
3

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row536612044
2nd row535849711
3rd row536612044
4th row536612044
5th row536612044

Common Values

ValueCountFrequency (%)
536612044 97
97.0%
535849711 3
 
3.0%

Length

2023-12-10T19:11:51.494086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:11:51.654892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
536612044 97
97.0%
535849711 3
 
3.0%

hmpg_url
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
97 
http://www.dscf.okr.kr
 
3

Length

Max length22
Median length4
Mean length4.54
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd rowhttp://www.dscf.okr.kr
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 97
97.0%
http://www.dscf.okr.kr 3
 
3.0%

Length

2023-12-10T19:11:51.880860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:11:52.071899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 97
97.0%
http://www.dscf.okr.kr 3
 
3.0%

fclty_road_nm_addr
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
대구광역시 중구 남성로 61 (동성로3가)
97 
대구광역시 달서구 문화회관길 160(장기동)
 
3

Length

Max length24
Median length23
Mean length23.03
Min length23

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시 중구 남성로 61 (동성로3가)
2nd row대구광역시 달서구 문화회관길 160(장기동)
3rd row대구광역시 중구 남성로 61 (동성로3가)
4th row대구광역시 중구 남성로 61 (동성로3가)
5th row대구광역시 중구 남성로 61 (동성로3가)

Common Values

ValueCountFrequency (%)
대구광역시 중구 남성로 61 (동성로3가) 97
97.0%
대구광역시 달서구 문화회관길 160(장기동) 3
 
3.0%

Length

2023-12-10T19:11:52.267583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:11:52.425608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 100
20.1%
중구 97
19.5%
남성로 97
19.5%
61 97
19.5%
동성로3가 97
19.5%
달서구 3
 
0.6%
문화회관길 3
 
0.6%
160(장기동 3
 
0.6%

lnm_addr
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
대구광역시 중구 동성로3가 35-13
97 
대구광역시 달서구 장기동 722-1
 
3

Length

Max length20
Median length20
Mean length19.97
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시 중구 동성로3가 35-13
2nd row대구광역시 달서구 장기동 722-1
3rd row대구광역시 중구 동성로3가 35-13
4th row대구광역시 중구 동성로3가 35-13
5th row대구광역시 중구 동성로3가 35-13

Common Values

ValueCountFrequency (%)
대구광역시 중구 동성로3가 35-13 97
97.0%
대구광역시 달서구 장기동 722-1 3
 
3.0%

Length

2023-12-10T19:11:52.609046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:11:52.824886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 100
25.0%
중구 97
24.2%
동성로3가 97
24.2%
35-13 97
24.2%
달서구 3
 
0.8%
장기동 3
 
0.8%
722-1 3
 
0.8%

opar_la
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
35.8672862
97 
35.8428587
 
3

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row35.8672862
2nd row35.8428587
3rd row35.8672862
4th row35.8672862
5th row35.8672862

Common Values

ValueCountFrequency (%)
35.8672862 97
97.0%
35.8428587 3
 
3.0%

Length

2023-12-10T19:11:53.009809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:11:53.192737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
35.8672862 97
97.0%
35.8428587 3
 
3.0%

opar_lo
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
128.5933489
97 
128.5221241
 
3

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row128.5933489
2nd row128.5221241
3rd row128.5933489
4th row128.5933489
5th row128.5933489

Common Values

ValueCountFrequency (%)
128.5933489 97
97.0%
128.5221241 3
 
3.0%

Length

2023-12-10T19:11:53.357528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:11:53.516169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
128.5933489 97
97.0%
128.5221241 3
 
3.0%

bhf_cd
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
143
100 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row143
2nd row143
3rd row143
4th row143
5th row143

Common Values

ValueCountFrequency (%)
143 100
100.0%

Length

2023-12-10T19:11:53.686081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:11:53.842002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
143 100
100.0%

bhf_nm
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
대구
100 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구 100
100.0%

Length

2023-12-10T19:11:54.020083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:11:54.184112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구 100
100.0%

mesure_de
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20043247
Minimum20000101
Maximum20201101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:11:54.366814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000101
5-th percentile20000696
Q120020376
median20040551
Q320060626
95-th percentile20080206
Maximum20201101
Range201000
Interquartile range (IQR)40250

Descriptive statistics

Standard deviation36504.925
Coefficient of variation (CV)0.001821308
Kurtosis8.5283014
Mean20043247
Median Absolute Deviation (MAD)20150
Skewness2.3215683
Sum2.0043247 × 109
Variance1.3326096 × 109
MonotonicityNot monotonic
2023-12-10T19:11:54.646972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000101 1
 
1.0%
20050501 1
 
1.0%
20060301 1
 
1.0%
20060201 1
 
1.0%
20060101 1
 
1.0%
20051201 1
 
1.0%
20051101 1
 
1.0%
20051001 1
 
1.0%
20050901 1
 
1.0%
20050801 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
20000101 1
1.0%
20000301 1
1.0%
20000401 1
1.0%
20000501 1
1.0%
20000601 1
1.0%
20000701 1
1.0%
20000901 1
1.0%
20001001 1
1.0%
20001101 1
1.0%
20001201 1
1.0%
ValueCountFrequency (%)
20201101 1
1.0%
20201001 1
1.0%
20200901 1
1.0%
20080401 1
1.0%
20080301 1
1.0%
20080201 1
1.0%
20080101 1
1.0%
20071201 1
1.0%
20071101 1
1.0%
20071001 1
1.0%

avrg_tp_value
Real number (ℝ)

Distinct86
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.076
Minimum-0.4
Maximum28.2
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)2.0%
Memory size1.0 KiB
2023-12-10T19:11:54.917258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.4
5-th percentile1.085
Q16.2
median15.2
Q322.025
95-th percentile26.915
Maximum28.2
Range28.6
Interquartile range (IQR)15.825

Descriptive statistics

Standard deviation8.6430344
Coefficient of variation (CV)0.61402632
Kurtosis-1.3236834
Mean14.076
Median Absolute Deviation (MAD)7.3
Skewness-0.075454767
Sum1407.6
Variance74.702044
MonotonicityNot monotonic
2023-12-10T19:11:55.164204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.3 2
 
2.0%
0.7 2
 
2.0%
4.8 2
 
2.0%
21.2 2
 
2.0%
6.2 2
 
2.0%
18.5 2
 
2.0%
15.8 2
 
2.0%
9.1 2
 
2.0%
4.0 2
 
2.0%
19.5 2
 
2.0%
Other values (76) 80
80.0%
ValueCountFrequency (%)
-0.4 1
1.0%
-0.3 1
1.0%
0.7 2
2.0%
0.8 1
1.0%
1.1 1
1.0%
1.4 1
1.0%
1.5 2
2.0%
1.9 1
1.0%
2.3 1
1.0%
2.6 1
1.0%
ValueCountFrequency (%)
28.2 1
1.0%
27.7 1
1.0%
27.6 1
1.0%
27.3 1
1.0%
27.2 1
1.0%
26.9 1
1.0%
26.4 1
1.0%
26.3 1
1.0%
26.1 1
1.0%
25.8 1
1.0%

avrg_hghet_tp_value
Real number (ℝ)

Distinct80
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.206
Minimum4.3
Maximum33.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:11:55.398669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.3
5-th percentile5.59
Q111.825
median21.1
Q326.3
95-th percentile31.405
Maximum33.3
Range29
Interquartile range (IQR)14.475

Descriptive statistics

Standard deviation8.5916311
Coefficient of variation (CV)0.44734099
Kurtosis-1.2718461
Mean19.206
Median Absolute Deviation (MAD)6.85
Skewness-0.19928685
Sum1920.6
Variance73.816125
MonotonicityNot monotonic
2023-12-10T19:11:55.650063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.8 3
 
3.0%
21.5 3
 
3.0%
25.8 2
 
2.0%
30.4 2
 
2.0%
7.0 2
 
2.0%
8.1 2
 
2.0%
8.6 2
 
2.0%
14.1 2
 
2.0%
21.7 2
 
2.0%
28.8 2
 
2.0%
Other values (70) 78
78.0%
ValueCountFrequency (%)
4.3 1
1.0%
4.5 1
1.0%
4.7 1
1.0%
5.1 1
1.0%
5.4 1
1.0%
5.6 1
1.0%
6.0 2
2.0%
6.6 1
1.0%
6.7 1
1.0%
7.0 2
2.0%
ValueCountFrequency (%)
33.3 1
1.0%
32.0 2
2.0%
31.9 1
1.0%
31.5 1
1.0%
31.4 1
1.0%
31.0 1
1.0%
30.8 1
1.0%
30.7 1
1.0%
30.4 2
2.0%
29.3 1
1.0%

avrg_lwet_tp_value
Real number (ℝ)

Distinct79
Distinct (%)79.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.628
Minimum-4.4
Maximum24.3
Zeros0
Zeros (%)0.0%
Negative22
Negative (%)22.0%
Memory size1.0 KiB
2023-12-10T19:11:56.011569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4.4
5-th percentile-2.915
Q11.2
median9.55
Q318
95-th percentile23.4
Maximum24.3
Range28.7
Interquartile range (IQR)16.8

Descriptive statistics

Standard deviation8.8358782
Coefficient of variation (CV)0.91772727
Kurtosis-1.3305874
Mean9.628
Median Absolute Deviation (MAD)8.4
Skewness0.077912889
Sum962.8
Variance78.072743
MonotonicityNot monotonic
2023-12-10T19:11:56.288549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.8 3
 
3.0%
9.3 3
 
3.0%
18.6 2
 
2.0%
4.0 2
 
2.0%
1.2 2
 
2.0%
8.6 2
 
2.0%
4.5 2
 
2.0%
-1.3 2
 
2.0%
-0.2 2
 
2.0%
21.5 2
 
2.0%
Other values (69) 78
78.0%
ValueCountFrequency (%)
-4.4 2
2.0%
-3.3 2
2.0%
-3.2 1
1.0%
-2.9 1
1.0%
-2.7 1
1.0%
-2.6 1
1.0%
-2.0 1
1.0%
-1.9 1
1.0%
-1.4 1
1.0%
-1.3 2
2.0%
ValueCountFrequency (%)
24.3 1
1.0%
24.2 1
1.0%
24.1 1
1.0%
23.7 1
1.0%
23.4 2
2.0%
23.0 1
1.0%
22.9 1
1.0%
22.8 1
1.0%
22.4 1
1.0%
21.7 1
1.0%

hghet_tp_value
Real number (ℝ)

Distinct82
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.686
Minimum10.2
Maximum37.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:11:56.893097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10.2
5-th percentile11.6
Q119.35
median26.95
Q332.7
95-th percentile35.815
Maximum37.2
Range27
Interquartile range (IQR)13.35

Descriptive statistics

Standard deviation8.0032319
Coefficient of variation (CV)0.31157953
Kurtosis-1.1356112
Mean25.686
Median Absolute Deviation (MAD)6.5
Skewness-0.38327995
Sum2568.6
Variance64.051721
MonotonicityNot monotonic
2023-12-10T19:11:57.134788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.4 3
 
3.0%
35.5 3
 
3.0%
33.0 3
 
3.0%
30.8 2
 
2.0%
20.2 2
 
2.0%
21.6 2
 
2.0%
11.6 2
 
2.0%
27.6 2
 
2.0%
32.0 2
 
2.0%
32.7 2
 
2.0%
Other values (72) 77
77.0%
ValueCountFrequency (%)
10.2 1
1.0%
11.0 1
1.0%
11.2 1
1.0%
11.5 1
1.0%
11.6 2
2.0%
12.2 1
1.0%
13.0 1
1.0%
13.1 1
1.0%
13.2 1
1.0%
13.6 1
1.0%
ValueCountFrequency (%)
37.2 1
 
1.0%
36.9 1
 
1.0%
36.4 1
 
1.0%
36.2 1
 
1.0%
36.1 1
 
1.0%
35.8 1
 
1.0%
35.6 1
 
1.0%
35.5 3
3.0%
35.4 3
3.0%
35.0 1
 
1.0%

lwet_tp_value
Real number (ℝ)

Distinct87
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.953
Minimum-11.8
Maximum20.8
Zeros0
Zeros (%)0.0%
Negative41
Negative (%)41.0%
Memory size1.0 KiB
2023-12-10T19:11:57.398519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-11.8
5-th percentile-9.435
Q1-4.45
median3.4
Q312.575
95-th percentile18.81
Maximum20.8
Range32.6
Interquartile range (IQR)17.025

Descriptive statistics

Standard deviation9.5615439
Coefficient of variation (CV)2.418807
Kurtosis-1.2716016
Mean3.953
Median Absolute Deviation (MAD)8.35
Skewness0.1482745
Sum395.3
Variance91.423122
MonotonicityNot monotonic
2023-12-10T19:11:57.657801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.6 3
 
3.0%
12.8 3
 
3.0%
18.6 3
 
3.0%
3.4 2
 
2.0%
-4.1 2
 
2.0%
-9.4 2
 
2.0%
-5.1 2
 
2.0%
-8.5 2
 
2.0%
9.3 2
 
2.0%
11.7 2
 
2.0%
Other values (77) 77
77.0%
ValueCountFrequency (%)
-11.8 1
1.0%
-11.7 1
1.0%
-11.1 1
1.0%
-10.9 1
1.0%
-10.1 1
1.0%
-9.4 2
2.0%
-8.5 2
2.0%
-8.2 1
1.0%
-7.9 1
1.0%
-7.5 1
1.0%
ValueCountFrequency (%)
20.8 1
 
1.0%
19.6 1
 
1.0%
19.5 1
 
1.0%
19.2 1
 
1.0%
19.0 1
 
1.0%
18.8 1
 
1.0%
18.7 1
 
1.0%
18.6 3
3.0%
18.4 1
 
1.0%
17.3 1
 
1.0%

hghet_tp_occrrnc_de
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20043260
Minimum20000102
Maximum20201119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:11:57.920606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000102
5-th percentile20000702
Q120020396
median20040566
Q320060644
95-th percentile20080233
Maximum20201119
Range201017
Interquartile range (IQR)40247

Descriptive statistics

Standard deviation36505.246
Coefficient of variation (CV)0.0018213227
Kurtosis8.5263188
Mean20043260
Median Absolute Deviation (MAD)20146
Skewness2.3211936
Sum2.004326 × 109
Variance1.332633 × 109
MonotonicityNot monotonic
2023-12-10T19:11:58.216090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000102 1
 
1.0%
20050530 1
 
1.0%
20060310 1
 
1.0%
20060214 1
 
1.0%
20060130 1
 
1.0%
20051201 1
 
1.0%
20051104 1
 
1.0%
20051001 1
 
1.0%
20050901 1
 
1.0%
20050805 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
20000102 1
1.0%
20000327 1
1.0%
20000413 1
1.0%
20000525 1
1.0%
20000619 1
1.0%
20000706 1
1.0%
20000901 1
1.0%
20001007 1
1.0%
20001106 1
1.0%
20001202 1
1.0%
ValueCountFrequency (%)
20201119 1
1.0%
20201003 1
1.0%
20200903 1
1.0%
20080430 1
1.0%
20080317 1
1.0%
20080229 1
1.0%
20080106 1
1.0%
20071226 1
1.0%
20071109 1
1.0%
20071002 1
1.0%

lwet_tp_occrrnc_de
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20043261
Minimum20000128
Maximum20201129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:11:58.496790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000128
5-th percentile20000718
Q120020380
median20040559
Q320060630
95-th percentile20080218
Maximum20201129
Range201001
Interquartile range (IQR)40249.75

Descriptive statistics

Standard deviation36506.83
Coefficient of variation (CV)0.0018214017
Kurtosis8.5296596
Mean20043261
Median Absolute Deviation (MAD)20151
Skewness2.3218452
Sum2.0043261 × 109
Variance1.3327486 × 109
MonotonicityNot monotonic
2023-12-10T19:11:58.755184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000128 1
 
1.0%
20050510 1
 
1.0%
20060313 1
 
1.0%
20060204 1
 
1.0%
20060107 1
 
1.0%
20051218 1
 
1.0%
20051120 1
 
1.0%
20051023 1
 
1.0%
20050928 1
 
1.0%
20050831 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
20000128 1
1.0%
20000308 1
1.0%
20000411 1
1.0%
20000507 1
1.0%
20000613 1
1.0%
20000723 1
1.0%
20000927 1
1.0%
20001031 1
1.0%
20001122 1
1.0%
20001212 1
1.0%
ValueCountFrequency (%)
20201129 1
1.0%
20201029 1
1.0%
20200928 1
1.0%
20080401 1
1.0%
20080305 1
1.0%
20080213 1
1.0%
20080117 1
1.0%
20071231 1
1.0%
20071119 1
1.0%
20071031 1
1.0%

avrg_arcsr_value
Real number (ℝ)

Distinct81
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1009.423
Minimum998.5
Maximum1019.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:11:59.039382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum998.5
5-th percentile1000.195
Q11003.65
median1009.6
Q31014.775
95-th percentile1017.61
Maximum1019.4
Range20.9
Interquartile range (IQR)11.125

Descriptive statistics

Standard deviation5.9999976
Coefficient of variation (CV)0.0059439874
Kurtosis-1.2874138
Mean1009.423
Median Absolute Deviation (MAD)5.75
Skewness-0.16082653
Sum100942.3
Variance35.999971
MonotonicityNot monotonic
2023-12-10T19:11:59.335974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1005.5 3
 
3.0%
1008.4 3
 
3.0%
1001.6 3
 
3.0%
1016.0 3
 
3.0%
1006.0 3
 
3.0%
1017.6 2
 
2.0%
1014.4 2
 
2.0%
1003.2 2
 
2.0%
1016.5 2
 
2.0%
1000.9 2
 
2.0%
Other values (71) 75
75.0%
ValueCountFrequency (%)
998.5 1
1.0%
998.8 1
1.0%
999.5 1
1.0%
999.6 1
1.0%
1000.1 1
1.0%
1000.2 1
1.0%
1000.5 1
1.0%
1000.8 1
1.0%
1000.9 2
2.0%
1001.1 1
1.0%
ValueCountFrequency (%)
1019.4 1
1.0%
1018.9 1
1.0%
1018.3 1
1.0%
1017.9 1
1.0%
1017.8 1
1.0%
1017.6 2
2.0%
1017.5 1
1.0%
1017.2 1
1.0%
1017.1 1
1.0%
1016.8 1
1.0%

avrg_partn_hd_value
Real number (ℝ)

Distinct38
Distinct (%)38.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.88
Minimum38
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:11:59.581490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38
5-th percentile42
Q149
median57
Q367
95-th percentile74
Maximum80
Range42
Interquartile range (IQR)18

Descriptive statistics

Standard deviation10.545984
Coefficient of variation (CV)0.18220428
Kurtosis-1.0104232
Mean57.88
Median Absolute Deviation (MAD)8
Skewness0.14281819
Sum5788
Variance111.21778
MonotonicityNot monotonic
2023-12-10T19:11:59.830362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
49 6
 
6.0%
51 6
 
6.0%
57 5
 
5.0%
59 5
 
5.0%
56 4
 
4.0%
73 4
 
4.0%
67 4
 
4.0%
44 4
 
4.0%
42 4
 
4.0%
72 4
 
4.0%
Other values (28) 54
54.0%
ValueCountFrequency (%)
38 1
 
1.0%
40 1
 
1.0%
42 4
4.0%
43 3
3.0%
44 4
4.0%
45 2
 
2.0%
46 2
 
2.0%
47 2
 
2.0%
48 1
 
1.0%
49 6
6.0%
ValueCountFrequency (%)
80 2
2.0%
76 1
 
1.0%
75 1
 
1.0%
74 2
2.0%
73 4
4.0%
72 4
4.0%
71 3
3.0%
70 2
2.0%
69 1
 
1.0%
68 2
2.0%

avrg_wind_sd_value
Real number (ℝ)

Distinct18
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.299
Minimum1.3
Maximum3.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:12:00.029234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.3
5-th percentile1.69
Q12
median2.3
Q32.6
95-th percentile2.9
Maximum3.1
Range1.8
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation0.38755775
Coefficient of variation (CV)0.16857666
Kurtosis-0.22156962
Mean2.299
Median Absolute Deviation (MAD)0.3
Skewness-0.13782462
Sum229.9
Variance0.15020101
MonotonicityNot monotonic
2023-12-10T19:12:00.228974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
2.3 16
16.0%
2.2 13
13.0%
2.7 9
9.0%
1.9 8
8.0%
2.0 8
8.0%
2.4 7
7.0%
2.9 6
 
6.0%
2.1 6
 
6.0%
2.8 5
 
5.0%
2.6 5
 
5.0%
Other values (8) 17
17.0%
ValueCountFrequency (%)
1.3 1
 
1.0%
1.4 1
 
1.0%
1.5 3
 
3.0%
1.7 2
 
2.0%
1.8 3
 
3.0%
1.9 8
8.0%
2.0 8
8.0%
2.1 6
 
6.0%
2.2 13
13.0%
2.3 16
16.0%
ValueCountFrequency (%)
3.1 2
 
2.0%
3.0 1
 
1.0%
2.9 6
 
6.0%
2.8 5
 
5.0%
2.7 9
9.0%
2.6 5
 
5.0%
2.5 4
 
4.0%
2.4 7
7.0%
2.3 16
16.0%
2.2 13
13.0%

Sample

fstvl_nmopar_nmfstvl_cntel_nohmpg_urlfclty_road_nm_addrlnm_addropar_laopar_lobhf_cdbhf_nmmesure_deavrg_tp_valueavrg_hghet_tp_valueavrg_lwet_tp_valuehghet_tp_valuelwet_tp_valuehghet_tp_occrrnc_delwet_tp_occrrnc_deavrg_arcsr_valueavrg_partn_hd_valueavrg_wind_sd_value
02016 대구약령시한방문화축제약령시(약전골목) 일원경연, 참여, 체험, 전시, 공연, 먹거리 등536612044<NA>대구광역시 중구 남성로 61 (동성로3가)대구광역시 중구 동성로3가 35-1335.867286128.593349143대구200001011.15.1-2.711.5-7.920000102200001281017.6572.3
1희망달서 큰잔치웃는얼굴아트센터희망가득체험부스, 다문화 어울림제, 축하 콘서트 등535849711http://www.dscf.okr.kr대구광역시 달서구 문화회관길 160(장기동)대구광역시 달서구 장기동 722-135.842859128.522124143대구2020090121.226.017.130.811.720200903202009281005.5732.0
22016 대구약령시한방문화축제약령시(약전골목) 일원경연, 참여, 체험, 전시, 공연, 먹거리 등536612044<NA>대구광역시 중구 남성로 61 (동성로3가)대구광역시 중구 동성로3가 35-1335.867286128.593349143대구200003017.913.62.819.4-3.720000327200003081010.3422.9
32016 대구약령시한방문화축제약령시(약전골목) 일원경연, 참여, 체험, 전시, 공연, 먹거리 등536612044<NA>대구광역시 중구 남성로 61 (동성로3가)대구광역시 중구 동성로3가 35-1335.867286128.593349143대구2000040113.018.57.925.32.520000413200004111005.5462.8
42016 대구약령시한방문화축제약령시(약전골목) 일원경연, 참여, 체험, 전시, 공연, 먹거리 등536612044<NA>대구광역시 중구 남성로 61 (동성로3가)대구광역시 중구 동성로3가 35-1335.867286128.593349143대구2000050119.525.114.233.69.320000525200005071003.3562.3
52016 대구약령시한방문화축제약령시(약전골목) 일원경연, 참여, 체험, 전시, 공연, 먹거리 등536612044<NA>대구광역시 중구 남성로 61 (동성로3가)대구광역시 중구 동성로3가 35-1335.867286128.593349143대구2000060123.328.119.235.013.120000619200006131000.9652.3
62016 대구약령시한방문화축제약령시(약전골목) 일원경연, 참여, 체험, 전시, 공연, 먹거리 등536612044<NA>대구광역시 중구 남성로 61 (동성로3가)대구광역시 중구 동성로3가 35-1335.867286128.593349143대구2000070126.931.523.434.819.22000070620000723999.6712.2
7희망달서 큰잔치웃는얼굴아트센터희망가득체험부스, 다문화 어울림제, 축하 콘서트 등535849711http://www.dscf.okr.kr대구광역시 달서구 문화회관길 160(장기동)대구광역시 달서구 장기동 722-135.842859128.522124143대구2020100115.421.310.127.35.320201003202010291013.7642.0
82016 대구약령시한방문화축제약령시(약전골목) 일원경연, 참여, 체험, 전시, 공연, 먹거리 등536612044<NA>대구광역시 중구 남성로 61 (동성로3가)대구광역시 중구 동성로3가 35-1335.867286128.593349143대구2000090121.225.118.032.312.820000901200009271006.0741.5
92016 대구약령시한방문화축제약령시(약전골목) 일원경연, 참여, 체험, 전시, 공연, 먹거리 등536612044<NA>대구광역시 중구 남성로 61 (동성로3가)대구광역시 중구 동성로3가 35-1335.867286128.593349143대구2000100116.721.512.426.66.520001007200010311012.4661.5
fstvl_nmopar_nmfstvl_cntel_nohmpg_urlfclty_road_nm_addrlnm_addropar_laopar_lobhf_cdbhf_nmmesure_deavrg_tp_valueavrg_hghet_tp_valueavrg_lwet_tp_valuehghet_tp_valuelwet_tp_valuehghet_tp_occrrnc_delwet_tp_occrrnc_deavrg_arcsr_valueavrg_partn_hd_valueavrg_wind_sd_value
902016 대구약령시한방문화축제약령시(약전골목) 일원경연, 참여, 체험, 전시, 공연, 먹거리 등536612044<NA>대구광역시 중구 남성로 61 (동성로3가)대구광역시 중구 동성로3가 35-1335.867286128.593349143대구2007070124.828.821.535.518.62007072720070716998.5732.2
912016 대구약령시한방문화축제약령시(약전골목) 일원경연, 참여, 체험, 전시, 공연, 먹거리 등536612044<NA>대구광역시 중구 남성로 61 (동성로3가)대구광역시 중구 동성로3가 35-1335.867286128.593349143대구2007080127.632.024.236.418.720070803200708311002.9721.9
922016 대구약령시한방문화축제약령시(약전골목) 일원경연, 참여, 체험, 전시, 공연, 먹거리 등536612044<NA>대구광역시 중구 남성로 61 (동성로3가)대구광역시 중구 동성로3가 35-1335.867286128.593349143대구2007090122.425.819.433.017.120070921200709301006.0762.0
932016 대구약령시한방문화축제약령시(약전골목) 일원경연, 참여, 체험, 전시, 공연, 먹거리 등536612044<NA>대구광역시 중구 남성로 61 (동성로3가)대구광역시 중구 동성로3가 35-1335.867286128.593349143대구2007100116.721.712.426.16.620071002200710311012.5661.8
942016 대구약령시한방문화축제약령시(약전골목) 일원경연, 참여, 체험, 전시, 공연, 먹거리 등536612044<NA>대구광역시 중구 남성로 61 (동성로3가)대구광역시 중구 동성로3가 35-1335.867286128.593349143대구200711019.014.84.020.2-4.120071109200711191016.0511.9
952016 대구약령시한방문화축제약령시(약전골목) 일원경연, 참여, 체험, 전시, 공연, 먹거리 등536612044<NA>대구광역시 중구 남성로 61 (동성로3가)대구광역시 중구 동성로3가 35-1335.867286128.593349143대구200712014.38.50.814.8-4.020071226200712311014.7572.3
962016 대구약령시한방문화축제약령시(약전골목) 일원경연, 참여, 체험, 전시, 공연, 먹거리 등536612044<NA>대구광역시 중구 남성로 61 (동성로3가)대구광역시 중구 동성로3가 35-1335.867286128.593349143대구200801011.55.6-2.011.2-8.220080106200801171017.5552.0
972016 대구약령시한방문화축제약령시(약전골목) 일원경연, 참여, 체험, 전시, 공연, 먹거리 등536612044<NA>대구광역시 중구 남성로 61 (동성로3가)대구광역시 중구 동성로3가 35-1335.867286128.593349143대구200802011.57.0-3.214.6-8.520080229200802131016.5382.6
982016 대구약령시한방문화축제약령시(약전골목) 일원경연, 참여, 체험, 전시, 공연, 먹거리 등536612044<NA>대구광역시 중구 남성로 61 (동성로3가)대구광역시 중구 동성로3가 35-1335.867286128.593349143대구200803019.114.83.919.5-2.020080317200803051011.0512.3
992016 대구약령시한방문화축제약령시(약전골목) 일원경연, 참여, 체험, 전시, 공연, 먹거리 등536612044<NA>대구광역시 중구 남성로 61 (동성로3가)대구광역시 중구 동성로3가 35-1335.867286128.593349143대구2008040114.821.09.328.93.420080430200804011008.4532.3