gimi9 Pandas Profiling

Dataset statistics

Number of variables	16
Number of observations	100
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	13.8 KiB
Average record size in memory	141.3 B

Variable types

Numeric	9
Categorical	6
Text	1

Dataset

Description	샘플 데이터
Author	노바코스
URL	https://www.bigdata-environment.kr/user/data_market/detail.do?id=bd7008b0-4b6c-11ec-a893-4d3e48f9e980

Alerts

`도로종류` has constant value ""	Constant
`측정일` has constant value ""	Constant
`측정시간` has constant value ""	Constant
`측정구간` is highly overall correlated with `기본키` and 4 other fields	High correlation
`주소` is highly overall correlated with `기본키` and 4 other fields	High correlation
`기본키` is highly overall correlated with `측정구간` and 1 other fields	High correlation
`연장((km))` is highly overall correlated with `측정구간` and 1 other fields	High correlation
`좌표위치위도((°))` is highly overall correlated with `측정구간` and 1 other fields	High correlation
`좌표위치경도((°))` is highly overall correlated with `측정구간` and 1 other fields	High correlation
`co((g/km))` is highly overall correlated with `nox((g/km))` and 3 other fields	High correlation
`nox((g/km))` is highly overall correlated with `co((g/km))` and 3 other fields	High correlation
`hc((g/km))` is highly overall correlated with `co((g/km))` and 3 other fields	High correlation
`pm((g/km))` is highly overall correlated with `co((g/km))` and 3 other fields	High correlation
`co2((g/km))` is highly overall correlated with `co((g/km))` and 3 other fields	High correlation
`기본키` has unique values	Unique
`co((g/km))` has 4 (4.0%) zeros	Zeros
`nox((g/km))` has 4 (4.0%) zeros	Zeros
`hc((g/km))` has 4 (4.0%) zeros	Zeros
`pm((g/km))` has 23 (23.0%) zeros	Zeros
`co2((g/km))` has 4 (4.0%) zeros	Zeros

Reproduction

Analysis started	2023-12-10 12:25:42.623531
Analysis finished	2023-12-10 12:25:54.436872
Duration	11.81 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

기본키
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	50.5

Minimum	1
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	1
5-th percentile	5.95
Q1	25.75
median	50.5
Q3	75.25
95-th percentile	95.05
Maximum	100
Range	99
Interquartile range (IQR)	49.5

Descriptive statistics

Standard deviation	29.011492
Coefficient of variation (CV)	0.57448499
Kurtosis	-1.2
Mean	50.5
Median Absolute Deviation (MAD)	25
Skewness	0
Sum	5050
Variance	841.66667
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1	1.0%
65	1	1.0%
75	1	1.0%
74	1	1.0%
73	1	1.0%
72	1	1.0%
71	1	1.0%
70	1	1.0%
69	1	1.0%
68	1	1.0%
Other values (90)	90	90.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	1.0%
2	1	1.0%
3	1	1.0%
4	1	1.0%
5	1	1.0%
6	1	1.0%
7	1	1.0%
8	1	1.0%
9	1	1.0%
10	1	1.0%

Value	Count	Frequency (%)
100	1	1.0%
99	1	1.0%
98	1	1.0%
97	1	1.0%
96	1	1.0%
95	1	1.0%
94	1	1.0%
93	1	1.0%
92	1	1.0%
91	1	1.0%

도로종류
Categorical

CONSTANT

Distinct	1
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

건기연	100

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	건기연
2nd row	건기연
3rd row	건기연
4th row	건기연
5th row	건기연

Common Values

Value	Count	Frequency (%)
건기연	100	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
건기연	100	100.0%

지점
Text

Distinct	50
Distinct (%)	50.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	800
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	[0314-0]
2nd row	[0314-0]
3rd row	[0317-0]
4th row	[0317-0]
5th row	[0318-0]

Value	Count	Frequency (%)
0314-0	2	2.0%
2803-1	2	2.0%
3109-1	2	2.0%
2018-0	2	2.0%
2508-0	2	2.0%
2510-1	2	2.0%
2512-4	2	2.0%
2513-0	2	2.0%
2613-3	2	2.0%
2613-4	2	2.0%
Other values (40)	80	80.0%

Most occurring characters

Value	Count	Frequency (%)
0	136	17.0%
1	108	13.5%
[	100	12.5%
-	100	12.5%
]	100	12.5%
2	78	9.8%
3	42	5.2%
5	30	3.8%
4	28	3.5%
8	26	3.2%
Other values (3)	52	6.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	500	62.5%
Open Punctuation	100	12.5%
Dash Punctuation	100	12.5%
Close Punctuation	100	12.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	136	27.2%
1	108	21.6%
2	78	15.6%
3	42	8.4%
5	30	6.0%
4	28	5.6%
8	26	5.2%
7	26	5.2%
6	16	3.2%
9	10	2.0%

Open Punctuation

Value	Count	Frequency (%)
[	100	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	100	100.0%

Close Punctuation

Value	Count	Frequency (%)
]	100	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	800	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	136	17.0%
1	108	13.5%
[	100	12.5%
-	100	12.5%
]	100	12.5%
2	78	9.8%
3	42	5.2%
5	30	3.8%
4	28	3.5%
8	26	3.2%
Other values (3)	52	6.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	800	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	136	17.0%
1	108	13.5%
[	100	12.5%
-	100	12.5%
]	100	12.5%
2	78	9.8%
3	42	5.2%
5	30	3.8%
4	28	3.5%
8	26	3.2%
Other values (3)	52	6.5%

방향
Categorical

Distinct	2
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

1	50
2	50

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
1	50	50.0%
2	50	50.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	50	50.0%
2	50	50.0%

측정구간
Categorical

HIGH CORRELATION

Distinct	48
Distinct (%)	48.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

경주-감포	4
현풍-옥포	4
공성-상주	2
금천-산내	2
상주-함창	2
Other values (43)	86

Length

Max length	6
Median length	5
Mean length	5.06
Min length	5

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	구성-김천
2nd row	구성-김천
3rd row	공성-상주
4th row	공성-상주
5th row	상주-함창

Common Values

Value	Count	Frequency (%)
경주-감포	4	4.0%
현풍-옥포	4	4.0%
공성-상주	2	2.0%
금천-산내	2	2.0%
상주-함창	2	2.0%
추풍령-김천	2	2.0%
성주-대구	2	2.0%
영천-서면	2	2.0%
칠곡-효령	2	2.0%
가산-군위	2	2.0%
Other values (38)	76	76.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
경주-감포	4	4.0%
현풍-옥포	4	4.0%
상동-본포	2	2.0%
구성-김천	2	2.0%
일반5-금성	2	2.0%
가산-장천	2	2.0%
선산-낙동	2	2.0%
상주-낙동	2	2.0%
묘산-쌍림	2	2.0%
쌍림-고령	2	2.0%
Other values (38)	76	76.0%

연장((km))
Real number (ℝ)

HIGH CORRELATION

Distinct	41
Distinct (%)	41.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9.176

Minimum	1.3
Maximum	27.8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	1.3
5-th percentile	1.8
Q1	5.9
median	8.25
Q3	11.4
95-th percentile	22.1
Maximum	27.8
Range	26.5
Interquartile range (IQR)	5.5

Descriptive statistics

Standard deviation	5.7322606
Coefficient of variation (CV)	0.62470147
Kurtosis	1.7777737
Mean	9.176
Median Absolute Deviation (MAD)	3.05
Skewness	1.1610831
Sum	917.6
Variance	32.858812
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=41)

Value	Count	Frequency (%)
10.6	8	8.0%
11.2	6	6.0%
6.4	4	4.0%
2.1	4	4.0%
6.2	4	4.0%
2.4	4	4.0%
8.2	2	2.0%
6.8	2	2.0%
5.9	2	2.0%
10.5	2	2.0%
Other values (31)	62	62.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.3	2	2.0%
1.4	2	2.0%
1.8	2	2.0%
2.1	4	4.0%
2.2	2	2.0%
2.4	4	4.0%
3.8	2	2.0%
4.1	2	2.0%
4.7	2	2.0%
4.8	2	2.0%

Value	Count	Frequency (%)
27.8	2	2.0%
24.2	2	2.0%
22.1	2	2.0%
20.6	2	2.0%
15.8	2	2.0%
14.4	2	2.0%
14.2	2	2.0%
13.5	2	2.0%
12.3	2	2.0%
12.0	2	2.0%

측정일
Categorical

CONSTANT

Distinct	1
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

20210101	100

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	20210101
2nd row	20210101
3rd row	20210101
4th row	20210101
5th row	20210101

Common Values

Value	Count	Frequency (%)
20210101	100	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
20210101	100	100.0%

측정시간
Categorical

CONSTANT

Distinct	1
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

0	100

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	100	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	100	100.0%

좌표위치위도((°))
Real number (ℝ)

HIGH CORRELATION

Distinct	50
Distinct (%)	50.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	36.112147

Minimum	35.65543
Maximum	36.99828
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	35.65543
5-th percentile	35.68369
Q1	35.80916
median	36.036925
Q3	36.33873
95-th percentile	36.76527
Maximum	36.99828
Range	1.34285
Interquartile range (IQR)	0.52957

Descriptive statistics

Standard deviation	0.34732091
Coefficient of variation (CV)	0.0096178415
Kurtosis	-0.28986158
Mean	36.112147
Median Absolute Deviation (MAD)	0.257595
Skewness	0.72722821
Sum	3611.2147
Variance	0.12063181
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
36.07278	2	2.0%
36.32892	2	2.0%
35.78841	2	2.0%
36.1137	2	2.0%
36.33873	2	2.0%
36.40808	2	2.0%
35.67783	2	2.0%
35.70376	2	2.0%
35.73646	2	2.0%
36.73238	2	2.0%
Other values (40)	80	80.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
35.65543	2	2.0%
35.67783	2	2.0%
35.68369	2	2.0%
35.69757	2	2.0%
35.70376	2	2.0%
35.71373	2	2.0%
35.71695	2	2.0%
35.73116	2	2.0%
35.73646	2	2.0%
35.76368	2	2.0%

Value	Count	Frequency (%)
36.99828	2	2.0%
36.84888	2	2.0%
36.76527	2	2.0%
36.75364	2	2.0%
36.73238	2	2.0%
36.59513	2	2.0%
36.58611	2	2.0%
36.50552	2	2.0%
36.49421	2	2.0%
36.40808	2	2.0%

좌표위치경도((°))
Real number (ℝ)

HIGH CORRELATION

Distinct	50
Distinct (%)	50.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	128.81122

Minimum	128.02544
Maximum	129.52365
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	128.02544
5-th percentile	128.13935
Q1	128.41883
median	128.71618
Q3	129.26459
95-th percentile	129.47131
Maximum	129.52365
Range	1.49821
Interquartile range (IQR)	0.84576

Descriptive statistics

Standard deviation	0.46493031
Coefficient of variation (CV)	0.003609393
Kurtosis	-1.3873763
Mean	128.81122
Median Absolute Deviation (MAD)	0.40509
Skewness	0.046661498
Sum	12881.122
Variance	0.21616019
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
128.08611	2	2.0%
128.70365	2	2.0%
128.72871	2	2.0%
128.50028	2	2.0%
128.30572	2	2.0%
128.23413	2	2.0%
128.21559	2	2.0%
128.25985	2	2.0%
128.31646	2	2.0%
128.53474	2	2.0%
Other values (40)	80	80.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
128.02544	2	2.0%
128.08611	2	2.0%
128.13935	2	2.0%
128.15515	2	2.0%
128.16946	2	2.0%
128.21559	2	2.0%
128.23413	2	2.0%
128.25985	2	2.0%
128.30572	2	2.0%
128.31646	2	2.0%

Value	Count	Frequency (%)
129.52365	2	2.0%
129.49495	2	2.0%
129.47131	2	2.0%
129.45978	2	2.0%
129.45621	2	2.0%
129.41245	2	2.0%
129.41209	2	2.0%
129.40658	2	2.0%
129.40119	2	2.0%
129.34631	2	2.0%

co((g/km))
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	89
Distinct (%)	89.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	32.3701

Minimum	0
Maximum	144.48
Zeros	4
Zeros (%)	4.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0.52
Q1	6.0275
median	22.695
Q3	48.62
95-th percentile	91.8535
Maximum	144.48
Range	144.48
Interquartile range (IQR)	42.5925

Descriptive statistics

Standard deviation	31.213081
Coefficient of variation (CV)	0.96425655
Kurtosis	1.5128911
Mean	32.3701
Median Absolute Deviation (MAD)	19.98
Skewness	1.2511713
Sum	3237.01
Variance	974.25642
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.0	4	4.0%
1.3	3	3.0%
0.65	3	3.0%
3.93	2	2.0%
0.52	2	2.0%
11.86	2	2.0%
13.64	2	2.0%
30.12	1	1.0%
50.0	1	1.0%
37.81	1	1.0%
Other values (79)	79	79.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	4	4.0%
0.52	2	2.0%
0.65	3	3.0%
0.87	1	1.0%
1.05	1	1.0%
1.3	3	3.0%
1.95	1	1.0%
2.1	1	1.0%
2.6	1	1.0%
2.83	1	1.0%

Value	Count	Frequency (%)
144.48	1	1.0%
133.64	1	1.0%
107.72	1	1.0%
97.62	1	1.0%
94.58	1	1.0%
91.71	1	1.0%
88.07	1	1.0%
87.38	1	1.0%
78.09	1	1.0%
77.28	1	1.0%

nox((g/km))
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	92
Distinct (%)	92.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	26.9029

Minimum	0
Maximum	180.83
Zeros	4
Zeros (%)	4.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0.28
Q1	3.575
median	13.275
Q3	33.465
95-th percentile	115.314
Maximum	180.83
Range	180.83
Interquartile range (IQR)	29.89

Descriptive statistics

Standard deviation	34.747923
Coefficient of variation (CV)	1.2916051
Kurtosis	5.5552287
Mean	26.9029
Median Absolute Deviation (MAD)	12.68
Skewness	2.2606799
Sum	2690.29
Variance	1207.4182
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.0	4	4.0%
0.64	3	3.0%
0.32	3	3.0%
0.28	2	2.0%
8.44	1	1.0%
27.65	1	1.0%
2.92	1	1.0%
2.77	1	1.0%
11.93	1	1.0%
0.55	1	1.0%
Other values (82)	82	82.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	4	4.0%
0.28	2	2.0%
0.32	3	3.0%
0.49	1	1.0%
0.55	1	1.0%
0.64	3	3.0%
0.96	1	1.0%
1.11	1	1.0%
1.28	1	1.0%
1.88	1	1.0%

Value	Count	Frequency (%)
180.83	1	1.0%
143.71	1	1.0%
135.12	1	1.0%
129.33	1	1.0%
117.86	1	1.0%
115.18	1	1.0%
85.51	1	1.0%
84.43	1	1.0%
69.78	1	1.0%
68.32	1	1.0%

hc((g/km))
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	86
Distinct (%)	86.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.6455

Minimum	0
Maximum	15.7
Zeros	4
Zeros (%)	4.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0.04
Q1	0.53
median	2.175
Q3	4.76
95-th percentile	11.968
Maximum	15.7
Range	15.7
Interquartile range (IQR)	4.23

Descriptive statistics

Standard deviation	3.8906244
Coefficient of variation (CV)	1.0672403
Kurtosis	1.3331046
Mean	3.6455
Median Absolute Deviation (MAD)	2.03
Skewness	1.3874536
Sum	364.55
Variance	15.136958
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.0	4	4.0%
0.12	3	3.0%
0.06	3	3.0%
0.04	2	2.0%
1.78	2	2.0%
2.26	2	2.0%
0.44	2	2.0%
0.53	2	2.0%
1.86	2	2.0%
1.63	2	2.0%
Other values (76)	76	76.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	4	4.0%
0.04	2	2.0%
0.06	3	3.0%
0.07	1	1.0%
0.09	1	1.0%
0.12	3	3.0%
0.17	1	1.0%
0.18	1	1.0%
0.23	1	1.0%
0.27	1	1.0%

Value	Count	Frequency (%)
15.7	1	1.0%
15.42	1	1.0%
14.44	1	1.0%
13.86	1	1.0%
12.31	1	1.0%
11.95	1	1.0%
11.8	1	1.0%
10.7	1	1.0%
10.25	1	1.0%
9.97	1	1.0%

pm((g/km))
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	56
Distinct (%)	56.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.3281

Minimum	0
Maximum	11.74
Zeros	23
Zeros (%)	23.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.13
median	0.6
Q3	1.5425
95-th percentile	5.6465
Maximum	11.74
Range	11.74
Interquartile range (IQR)	1.4125

Descriptive statistics

Standard deviation	2.0428178
Coefficient of variation (CV)	1.5381506
Kurtosis	8.1384948
Mean	1.3281
Median Absolute Deviation (MAD)	0.6
Skewness	2.6600743
Sum	132.81
Variance	4.1731044
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.0	23	23.0%
0.27	5	5.0%
0.14	5	5.0%
0.13	4	4.0%
0.42	3	3.0%
0.4	3	3.0%
0.7	2	2.0%
0.82	2	2.0%
1.21	2	2.0%
1.1	2	2.0%
Other values (46)	49	49.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	23	23.0%
0.13	4	4.0%
0.14	5	5.0%
0.26	1	1.0%
0.27	5	5.0%
0.28	2	2.0%
0.4	3	3.0%
0.41	1	1.0%
0.42	3	3.0%
0.53	1	1.0%

Value	Count	Frequency (%)
11.74	1	1.0%
7.77	1	1.0%
7.53	1	1.0%
7.42	1	1.0%
6.72	1	1.0%
5.59	1	1.0%
5.05	1	1.0%
4.91	1	1.0%
4.38	1	1.0%
4.12	1	1.0%

co2((g/km))
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	92
Distinct (%)	92.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8090.787

Minimum	0
Maximum	37044.12
Zeros	4
Zeros (%)	4.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	0
5-th percentile	138.68
Q1	1540.785
median	5687.125
Q3	12062.447
95-th percentile	23078.308
Maximum	37044.12
Range	37044.12
Interquartile range (IQR)	10521.662

Descriptive statistics

Standard deviation	7882.2875
Coefficient of variation (CV)	0.97423001
Kurtosis	1.9204337
Mean	8090.787
Median Absolute Deviation (MAD)	4972.945
Skewness	1.3438213
Sum	809078.7
Variance	62130456
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.0	4	4.0%
307.36	3	3.0%
153.68	3	3.0%
138.68	2	2.0%
3504.64	1	1.0%
8844.86	1	1.0%
1255.69	1	1.0%
1386.85	1	1.0%
5043.27	1	1.0%
277.37	1	1.0%
Other values (82)	82	82.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	4	4.0%
138.68	2	2.0%
153.68	3	3.0%
254.3	1	1.0%
277.37	1	1.0%
307.36	3	3.0%
461.05	1	1.0%
554.74	1	1.0%
614.73	1	1.0%
740.29	1	1.0%

Value	Count	Frequency (%)
37044.12	1	1.0%
34495.19	1	1.0%
28985.41	1	1.0%
23909.58	1	1.0%
23824.22	1	1.0%
23039.05	1	1.0%
22615.63	1	1.0%
21189.06	1	1.0%
19166.4	1	1.0%
18216.63	1	1.0%

주소
Categorical

HIGH CORRELATION

Distinct	49
Distinct (%)	49.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

경북 경주 양북 안동	4
경북 청도 운문 대천	2
경북 안동 일직 원호	2
경북 상주 외서 연봉	2
경북 김천 봉산 태화	2
Other values (44)	88

Length

Max length	11
Median length	11
Mean length	10.96
Min length	10

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	경북 김천 구성 하강
2nd row	경북 김천 구성 하강
3rd row	경북 상주 청리 원장
4th row	경북 상주 청리 원장
5th row	경북 상주 외서 연봉

Common Values

Value	Count	Frequency (%)
경북 경주 양북 안동	4	4.0%
경북 청도 운문 대천	2	2.0%
경북 안동 일직 원호	2	2.0%
경북 상주 외서 연봉	2	2.0%
경북 김천 봉산 태화	2	2.0%
경북 칠곡 왜관 왜관	2	2.0%
경북 영천 북안 유하	2	2.0%
경북 달성 현풍 성하	2	2.0%
경북 달성 논공 위천	2	2.0%
경북 칠곡 가산 천평	2	2.0%
Other values (39)	78	78.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
경북	100	25.0%
경주	14	3.5%
포항	14	3.5%
의성	10	2.5%
영천	6	1.5%
안동	6	1.5%
청도	6	1.5%
고령	6	1.5%
울진	6	1.5%
상주	6	1.5%
Other values (100)	226	56.5%

Heatmap
Table

	기본키	지점	방향	측정구간	연장((km))	좌표위치위도((°))	좌표위치경도((°))	co((g/km))	nox((g/km))	hc((g/km))	pm((g/km))	co2((g/km))	주소
기본키	1.000	1.000	0.000	1.000	0.565	0.653	0.934	0.477	0.550	0.476	0.234	0.369	1.000
지점	1.000	1.000	0.000	1.000	1.000	1.000	1.000	0.881	0.822	0.826	0.730	0.883	1.000
방향	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
측정구간	1.000	1.000	0.000	1.000	0.982	1.000	1.000	0.869	0.853	0.781	0.791	0.874	1.000
연장((km))	0.565	1.000	0.000	0.982	1.000	0.746	0.625	0.000	0.000	0.000	0.000	0.000	0.992
좌표위치위도((°))	0.653	1.000	0.000	1.000	0.746	1.000	0.696	0.304	0.417	0.251	0.172	0.470	1.000
좌표위치경도((°))	0.934	1.000	0.000	1.000	0.625	0.696	1.000	0.395	0.577	0.494	0.293	0.256	1.000
co((g/km))	0.477	0.881	0.000	0.869	0.000	0.304	0.395	1.000	0.810	0.903	0.719	0.990	0.878
nox((g/km))	0.550	0.822	0.000	0.853	0.000	0.417	0.577	0.810	1.000	0.890	0.967	0.813	0.834
hc((g/km))	0.476	0.826	0.000	0.781	0.000	0.251	0.494	0.903	0.890	1.000	0.823	0.898	0.806
pm((g/km))	0.234	0.730	0.000	0.791	0.000	0.172	0.293	0.719	0.967	0.823	1.000	0.750	0.753
co2((g/km))	0.369	0.883	0.000	0.874	0.000	0.470	0.256	0.990	0.813	0.898	0.750	1.000	0.880
주소	1.000	1.000	0.000	1.000	0.992	1.000	1.000	0.878	0.834	0.806	0.753	0.880	1.000

Heatmap
Table

	측정구간	방향	주소
측정구간	1.000	0.000	0.990
방향	0.000	1.000	0.000
주소	0.990	0.000	1.000

Heatmap
Table

	기본키	연장((km))	좌표위치위도((°))	좌표위치경도((°))	co((g/km))	nox((g/km))	hc((g/km))	pm((g/km))	co2((g/km))	방향	측정구간	주소
기본키	1.000	-0.112	-0.072	0.302	-0.346	-0.335	-0.338	-0.306	-0.331	0.000	0.760	0.753
연장((km))	-0.112	1.000	0.067	-0.033	-0.045	-0.027	-0.040	-0.059	-0.047	0.000	0.650	0.696
좌표위치위도((°))	-0.072	0.067	1.000	-0.133	0.039	0.062	0.063	0.084	0.035	0.000	0.756	0.749
좌표위치경도((°))	0.302	-0.033	-0.133	1.000	0.212	0.195	0.199	0.109	0.225	0.000	0.760	0.753
co((g/km))	-0.346	-0.045	0.039	0.212	1.000	0.979	0.985	0.889	0.997	0.000	0.402	0.413
nox((g/km))	-0.335	-0.027	0.062	0.195	0.979	1.000	0.994	0.943	0.979	0.000	0.371	0.366
hc((g/km))	-0.338	-0.040	0.063	0.199	0.985	0.994	1.000	0.931	0.981	0.000	0.296	0.314
pm((g/km))	-0.306	-0.059	0.084	0.109	0.889	0.943	0.931	1.000	0.892	0.000	0.308	0.289
co2((g/km))	-0.331	-0.047	0.035	0.225	0.997	0.979	0.981	0.892	1.000	0.000	0.409	0.415
방향	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000
측정구간	0.760	0.650	0.756	0.760	0.402	0.371	0.296	0.308	0.409	0.000	1.000	0.990
주소	0.753	0.696	0.749	0.753	0.413	0.366	0.314	0.289	0.415	0.000	0.990	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	기본키	도로종류	지점	방향	측정구간	연장((km))	측정일	좌표위치위도((°))	좌표위치경도((°))	co((g/km))	nox((g/km))	hc((g/km))	pm((g/km))	co2((g/km))	주소
0	1	건기연	[0314-0]	1	구성-김천	11.4	20210101	36.07278	128.08611	13.32	8.44	1.25	0.55	3504.64	경북 김천 구성 하강
1	2	건기연	[0314-0]	2	구성-김천	11.4	20210101	36.07278	128.08611	13.64	12.13	1.78	0.79	3357.36	경북 김천 구성 하강
2	3	건기연	[0317-0]	1	공성-상주	11.9	20210101	36.35299	128.13935	22.79	11.95	2.09	0.27	5431.34	경북 상주 청리 원장
3	4	건기연	[0317-0]	2	공성-상주	11.9	20210101	36.35299	128.13935	16.26	8.38	1.48	0.13	3868.29	경북 상주 청리 원장
4	5	건기연	[0318-0]	1	상주-함창	14.4	20210101	36.50552	128.16946	55.14	38.62	5.93	1.75	13007.53	경북 상주 외서 연봉
5	6	건기연	[0318-0]	2	상주-함창	14.4	20210101	36.50552	128.16946	41.06	29.28	3.93	1.52	10686.18	경북 상주 외서 연봉
6	7	건기연	[0410-2]	1	추풍령-김천	1.8	20210101	36.14659	128.02544	7.94	5.43	0.79	0.53	2110.13	경북 김천 봉산 태화
7	8	건기연	[0410-2]	2	추풍령-김천	1.8	20210101	36.14659	128.02544	14.51	8.94	1.44	0.68	3517.82	경북 김천 봉산 태화
8	9	건기연	[0415-1]	1	성주-대구	3.8	20210101	35.98385	128.41106	58.18	40.86	6.25	1.81	13619.97	경북 칠곡 왜관 왜관
9	10	건기연	[0415-1]	2	성주-대구	3.8	20210101	35.98385	128.41106	64.66	46.61	6.6	2.59	16943.08	경북 칠곡 왜관 왜관

	기본키	도로종류	지점	방향	측정구간	연장((km))	측정일	좌표위치위도((°))	좌표위치경도((°))	co((g/km))	nox((g/km))	hc((g/km))	pm((g/km))	co2((g/km))	주소
90	91	건기연	[3106-0]	1	양포-동해	6.9	20210101	35.98043	129.49495	52.43	33.23	5.09	1.47	12508.03	경북 포항 동해 상정
91	92	건기연	[3106-0]	2	양포-동해	6.9	20210101	35.98043	129.49495	23.57	15.43	2.26	1.22	6207.13	경북 포항 동해 상정
92	93	건기연	[3106-2]	1	연일-구룡포	4.7	20210101	35.98322	129.45978	32.71	17.4	3.02	0.42	7779.7	경북 포항 동해 신정
93	94	건기연	[3106-2]	2	연일-구룡포	4.7	20210101	35.98322	129.45978	20.34	11.51	1.78	0.28	5363.76	경북 포항 동해 신정
94	95	건기연	[3107-2]	1	기계-포항	2.4	20210101	36.06326	129.22771	14.35	7.78	1.34	0.27	3433.48	경북 포항 기계 내단
95	96	건기연	[3107-2]	2	기계-포항	2.4	20210101	36.06326	129.22771	13.64	9.12	1.32	0.7	3562.77	경북 포항 기계 내단
96	97	건기연	[3109-1]	1	죽장-부남	20.6	20210101	36.2488	129.04049	0.52	0.28	0.04	0.0	138.68	경북 청송 현동 눌인
97	98	건기연	[3109-1]	2	죽장-부남	20.6	20210101	36.2488	129.04049	1.3	0.64	0.12	0.0	307.36	경북 청송 현동 눌인
98	99	건기연	[3109-2]	1	현동-청운	11.2	20210101	36.28967	129.03608	0.65	0.32	0.06	0.0	153.68	경북 청송 현동 도평
99	100	건기연	[3109-2]	2	현동-청운	11.2	20210101	36.28967	129.03608	0.87	0.49	0.07	0.0	254.3	경북 청송 현동 도평

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Open Punctuation

Dash Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Common Values

Length

Interactions

Correlations

Missing values

Sample