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	4
Text	3

Dataset

Description	샘플 데이터
Author	노바코스
URL	https://www.bigdata-environment.kr/user/data_market/detail.do?id=d0979930-4b6c-11ec-a893-4d3e48f9e980

Alerts

`도로종류` has constant value ""	Constant
`측정일` has constant value ""	Constant
`측정시간` has constant value ""	Constant
`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 unique values	Unique
`nox((g/km))` has unique values	Unique
`hc((g/km))` has unique values	Unique
`pm((g/km))` has unique values	Unique
`co2((g/km))` has unique values	Unique

Reproduction

Analysis started	2024-04-17 01:52:12.254638
Analysis finished	2024-04-17 01:52:19.265749
Duration	7.01 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

기본키
Real number (ℝ)

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%
2808-0	2	2.0%
3116-1	2	2.0%
2512-4	2	2.0%
2513-0	2	2.0%
2613-3	2	2.0%
2613-4	2	2.0%
2614-3	2	2.0%
2802-1	2	2.0%
2803-1	2	2.0%
Other values (40)	80	80.0%

Most occurring characters

Value	Count	Frequency (%)
0	132	16.5%
1	112	14.0%
[	100	12.5%
-	100	12.5%
]	100	12.5%
2	72	9.0%
3	52	6.5%
5	28	3.5%
4	26	3.2%
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	132	26.4%
1	112	22.4%
2	72	14.4%
3	52	10.4%
5	28	5.6%
4	26	5.2%
8	26	5.2%
7	26	5.2%
6	18	3.6%
9	8	1.6%

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	132	16.5%
1	112	14.0%
[	100	12.5%
-	100	12.5%
]	100	12.5%
2	72	9.0%
3	52	6.5%
5	28	3.5%
4	26	3.2%
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	132	16.5%
1	112	14.0%
[	100	12.5%
-	100	12.5%
]	100	12.5%
2	72	9.0%
3	52	6.5%
5	28	3.5%
4	26	3.2%
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
Text

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

Length

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

Characters and Unicode

Total characters	506
Distinct characters	87
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

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

Value	Count	Frequency (%)
구성-김천	2	2.0%
영천-의성	2	2.0%
녹동-영양	2	2.0%
선산-낙동	2	2.0%
상주-낙동	2	2.0%
묘산-쌍림	2	2.0%
쌍림-고령	2	2.0%
고령-성산	2	2.0%
장수-예천	2	2.0%
상동-본포	2	2.0%
Other values (40)	80	80.0%

Most occurring characters

Value	Count	Frequency (%)
-	100	19.8%
포	22	4.3%
성	20	4.0%
천	18	3.6%
동	16	3.2%
주	16	3.2%
산	14	2.8%
영	10	2.0%
령	10	2.0%
경	10	2.0%
Other values (77)	270	53.4%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	404	79.8%
Dash Punctuation	100	19.8%
Decimal Number	2	0.4%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
포	22	5.4%
성	20	5.0%
천	18	4.5%
동	16	4.0%
주	16	4.0%
산	14	3.5%
영	10	2.5%
령	10	2.5%
경	10	2.5%
상	8	2.0%
Other values (75)	260	64.4%

Dash Punctuation

Value	Count	Frequency (%)
-	100	100.0%

Decimal Number

Value	Count	Frequency (%)
5	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	404	79.8%
Common	102	20.2%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
포	22	5.4%
성	20	5.0%
천	18	4.5%
동	16	4.0%
주	16	4.0%
산	14	3.5%
영	10	2.5%
령	10	2.5%
경	10	2.5%
상	8	2.0%
Other values (75)	260	64.4%

Common

Value	Count	Frequency (%)
-	100	98.0%
5	2	2.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	404	79.8%
ASCII	102	20.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	100	98.0%
5	2	2.0%

Hangul

Value	Count	Frequency (%)
포	22	5.4%
성	20	5.0%
천	18	4.5%
동	16	4.0%
주	16	4.0%
산	14	3.5%
영	10	2.5%
령	10	2.5%
경	10	2.5%
상	8	2.0%
Other values (75)	260	64.4%

연장((km))
Real number (ℝ)

Distinct	43
Distinct (%)	43.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.798

Minimum	1.3
Maximum	26.7
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	4.9
median	8.1
Q3	11.4
95-th percentile	20.6
Maximum	26.7
Range	25.4
Interquartile range (IQR)	6.5

Descriptive statistics

Standard deviation	5.2860973
Coefficient of variation (CV)	0.60082942
Kurtosis	1.8278046
Mean	8.798
Median Absolute Deviation (MAD)	3.25
Skewness	1.0704432
Sum	879.8
Variance	27.942824
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
10.6	8	8.0%
6.4	4	4.0%
2.1	4	4.0%
2.4	4	4.0%
11.2	4	4.0%
11.4	2	2.0%
8.0	2	2.0%
9.2	2	2.0%
8.2	2	2.0%
7.8	2	2.0%
Other values (33)	66	66.0%

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 (%)
26.7	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%
12.9	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

20210201	100

Length

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	20210201
2nd row	20210201
3rd row	20210201
4th row	20210201
5th row	20210201

Common Values

Value	Count	Frequency (%)
20210201	100	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
20210201	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)

Distinct	50
Distinct (%)	50.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	36.137747

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	35.85555
median	36.036925
Q3	36.35882
95-th percentile	36.84888
Maximum	36.99828
Range	1.34285
Interquartile range (IQR)	0.50327

Descriptive statistics

Standard deviation	0.3651448
Coefficient of variation (CV)	0.010104249
Kurtosis	-0.58795392
Mean	36.137747
Median Absolute Deviation (MAD)	0.27722
Skewness	0.65307371
Sum	3613.7747
Variance	0.13333073
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
36.07278	2	2.0%
36.03299	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%
36.59513	2	2.0%
36.35882	2	2.0%
36.32892	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%
35.78841	2	2.0%

Value	Count	Frequency (%)
36.99828	2	2.0%
36.86368	2	2.0%
36.84888	2	2.0%
36.76527	2	2.0%
36.75364	2	2.0%
36.73238	2	2.0%
36.59556	2	2.0%
36.59513	2	2.0%
36.58611	2	2.0%
36.50552	2	2.0%

좌표위치경도((°))
Real number (ℝ)

Distinct	50
Distinct (%)	50.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	128.8172

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	128.76473
Q3	129.26459
95-th percentile	129.47131
Maximum	129.52365
Range	1.49821
Interquartile range (IQR)	0.84576

Descriptive statistics

Standard deviation	0.46573356
Coefficient of variation (CV)	0.003615461
Kurtosis	-1.3901309
Mean	128.8172
Median Absolute Deviation (MAD)	0.460995
Skewness	-0.026437178
Sum	12881.72
Variance	0.21690775
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
128.08611	2	2.0%
129.30673	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%
128.41883	2	2.0%
128.46812	2	2.0%
128.70365	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%
128.23039	2	2.0%
128.23413	2	2.0%
128.25985	2	2.0%
128.30572	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%
129.40658	2	2.0%
129.40119	2	2.0%
129.34631	2	2.0%
129.32144	2	2.0%

co((g/km))
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3795.1261

Minimum	173.3
Maximum	11931.67
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	173.3
5-th percentile	442.619
Q1	1445.18
median	3429.68
Q3	5161.0225
95-th percentile	10337.136
Maximum	11931.67
Range	11758.37
Interquartile range (IQR)	3715.8425

Descriptive statistics

Standard deviation	2913.5042
Coefficient of variation (CV)	0.76769628
Kurtosis	0.66633187
Mean	3795.1261
Median Absolute Deviation (MAD)	1836.345
Skewness	1.0474885
Sum	379512.61
Variance	8488506.8
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1966.09	1	1.0%
2017.45	1	1.0%
3915.21	1	1.0%
1568.91	1	1.0%
1443.74	1	1.0%
544.14	1	1.0%
442.86	1	1.0%
1266.77	1	1.0%
1282.33	1	1.0%
980.42	1	1.0%
Other values (90)	90	90.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
173.3	1	1.0%
227.74	1	1.0%
259.64	1	1.0%
276.03	1	1.0%
438.04	1	1.0%
442.86	1	1.0%
458.12	1	1.0%
458.45	1	1.0%
506.53	1	1.0%
544.14	1	1.0%

Value	Count	Frequency (%)
11931.67	1	1.0%
11441.22	1	1.0%
11375.73	1	1.0%
10930.56	1	1.0%
10711.93	1	1.0%
10317.41	1	1.0%
10146.21	1	1.0%
10097.2	1	1.0%
9073.54	1	1.0%
7961.59	1	1.0%

nox((g/km))
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3955.2881

Minimum	106.13
Maximum	17448.86
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	106.13
5-th percentile	331.843
Q1	1349.615
median	2875.67
Q3	5660.91
95-th percentile	10614.624
Maximum	17448.86
Range	17342.73
Interquartile range (IQR)	4311.295

Descriptive statistics

Standard deviation	3413.4449
Coefficient of variation (CV)	0.86300791
Kurtosis	1.8663262
Mean	3955.2881
Median Absolute Deviation (MAD)	1955.76
Skewness	1.3293576
Sum	395528.81
Variance	11651606
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1534.17	1	1.0%
2151.01	1	1.0%
4363.52	1	1.0%
1589.84	1	1.0%
1574.76	1	1.0%
756.79	1	1.0%
501.57	1	1.0%
1182.72	1	1.0%
1239.6	1	1.0%
1349.74	1	1.0%
Other values (90)	90	90.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
106.13	1	1.0%
166.98	1	1.0%
197.63	1	1.0%
203.37	1	1.0%
308.53	1	1.0%
333.07	1	1.0%
483.33	1	1.0%
501.57	1	1.0%
593.92	1	1.0%
598.53	1	1.0%

Value	Count	Frequency (%)
17448.86	1	1.0%
12756.75	1	1.0%
12667.04	1	1.0%
11816.55	1	1.0%
10909.59	1	1.0%
10599.1	1	1.0%
9999.66	1	1.0%
9548.28	1	1.0%
9282.53	1	1.0%
9276.57	1	1.0%

hc((g/km))
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	502.9005

Minimum	15.68
Maximum	1807.09
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	15.68
5-th percentile	47.0505
Q1	192.1325
median	381.24
Q3	734.8275
95-th percentile	1370.807
Maximum	1807.09
Range	1791.41
Interquartile range (IQR)	542.695

Descriptive statistics

Standard deviation	404.51297
Coefficient of variation (CV)	0.80435985
Kurtosis	0.9142875
Mean	502.9005
Median Absolute Deviation (MAD)	271.34
Skewness	1.1172708
Sum	50290.05
Variance	163630.74
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
217.34	1	1.0%
260.08	1	1.0%
559.55	1	1.0%
230.5	1	1.0%
210.71	1	1.0%
100.24	1	1.0%
74.09	1	1.0%
170.13	1	1.0%
175.51	1	1.0%
192.28	1	1.0%
Other values (90)	90	90.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
15.68	1	1.0%
24.04	1	1.0%
27.46	1	1.0%
29.74	1	1.0%
43.45	1	1.0%
47.24	1	1.0%
68.6	1	1.0%
74.09	1	1.0%
74.36	1	1.0%
78.85	1	1.0%

Value	Count	Frequency (%)
1807.09	1	1.0%
1673.09	1	1.0%
1556.42	1	1.0%
1486.97	1	1.0%
1381.01	1	1.0%
1370.27	1	1.0%
1164.95	1	1.0%
1139.42	1	1.0%
1123.42	1	1.0%
1118.15	1	1.0%

pm((g/km))
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	236.4242

Minimum	4.05
Maximum	1104.76
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	4.05
5-th percentile	20.903
Q1	86.11
median	174.865
Q3	330.9275
95-th percentile	620.6215
Maximum	1104.76
Range	1100.71
Interquartile range (IQR)	244.8175

Descriptive statistics

Standard deviation	204.98323
Coefficient of variation (CV)	0.86701458
Kurtosis	3.2152818
Mean	236.4242
Median Absolute Deviation (MAD)	112.79
Skewness	1.5672515
Sum	23642.42
Variance	42018.124
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
110.94	1	1.0%
130.77	1	1.0%
251.74	1	1.0%
95.28	1	1.0%
101.09	1	1.0%
53.28	1	1.0%
39.78	1	1.0%
80.12	1	1.0%
86.51	1	1.0%
84.91	1	1.0%
Other values (90)	90	90.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4.05	1	1.0%
15.3	1	1.0%
17.03	1	1.0%
17.42	1	1.0%
17.73	1	1.0%
21.07	1	1.0%
29.2	1	1.0%
36.21	1	1.0%
36.3	1	1.0%
39.16	1	1.0%

Value	Count	Frequency (%)
1104.76	1	1.0%
920.51	1	1.0%
757.18	1	1.0%
671.59	1	1.0%
623.31	1	1.0%
620.48	1	1.0%
557.07	1	1.0%
530.82	1	1.0%
530.66	1	1.0%
525.12	1	1.0%

co2((g/km))
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	964789.68

Minimum	45513.21
Maximum	3348287.3
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	45513.21
5-th percentile	108202.7
Q1	367543.65
median	878085.08
Q3	1340039.4
95-th percentile	2663851
Maximum	3348287.3
Range	3302774.1
Interquartile range (IQR)	972495.73

Descriptive statistics

Standard deviation	747835.19
Coefficient of variation (CV)	0.77512769
Kurtosis	0.90556199
Mean	964789.68
Median Absolute Deviation (MAD)	505573.89
Skewness	1.0957911
Sum	96478968
Variance	5.5925747 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
503608.13	1	1.0%
534694.46	1	1.0%
985046.89	1	1.0%
373634.77	1	1.0%
363526.48	1	1.0%
130087.01	1	1.0%
102508.78	1	1.0%
310420.52	1	1.0%
312850.23	1	1.0%
210058.97	1	1.0%
Other values (90)	90	90.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
45513.21	1	1.0%
54975.18	1	1.0%
66505.09	1	1.0%
72535.81	1	1.0%
102508.78	1	1.0%
108502.38	1	1.0%
112376.96	1	1.0%
119652.52	1	1.0%
127437.42	1	1.0%
130087.01	1	1.0%

Value	Count	Frequency (%)
3348287.33	1	1.0%
2860434.59	1	1.0%
2813809.67	1	1.0%
2755562.87	1	1.0%
2742220.6	1	1.0%
2659726.33	1	1.0%
2638898.29	1	1.0%
2550686.27	1	1.0%
2192356.61	1	1.0%
1959397.98	1	1.0%

주소
Text

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

Length

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

Characters and Unicode

Total characters	1096
Distinct characters	103
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

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	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

Value	Count	Frequency (%)
경북	100	25.0%
포항	16	4.0%
경주	12	3.0%
의성	10	2.5%
연일	6	1.5%
청도	6	1.5%
영천	6	1.5%
상주	6	1.5%
울진	6	1.5%
고령	6	1.5%
Other values (103)	226	56.5%

Most occurring characters

Value	Count	Frequency (%)
	300	27.4%
경	116	10.6%
북	106	9.7%
천	32	2.9%
성	28	2.6%
주	26	2.4%
포	20	1.8%
항	16	1.5%
영	16	1.5%
동	14	1.3%
Other values (93)	422	38.5%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	796	72.6%
Space Separator	300	27.4%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
경	116	14.6%
북	106	13.3%
천	32	4.0%
성	28	3.5%
주	26	3.3%
포	20	2.5%
항	16	2.0%
영	16	2.0%
동	14	1.8%
남	10	1.3%
Other values (92)	412	51.8%

Space Separator

Value	Count	Frequency (%)
	300	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	796	72.6%
Common	300	27.4%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
경	116	14.6%
북	106	13.3%
천	32	4.0%
성	28	3.5%
주	26	3.3%
포	20	2.5%
항	16	2.0%
영	16	2.0%
동	14	1.8%
남	10	1.3%
Other values (92)	412	51.8%

Common

Value	Count	Frequency (%)
	300	100.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	796	72.6%
ASCII	300	27.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	300	100.0%

Hangul

Value	Count	Frequency (%)
경	116	14.6%
북	106	13.3%
천	32	4.0%
성	28	3.5%
주	26	3.3%
포	20	2.5%
항	16	2.0%
영	16	2.0%
동	14	1.8%
남	10	1.3%
Other values (92)	412	51.8%

Phik (φk)
Auto

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	0.524	0.787	0.896	0.729	0.538	0.673	0.469	0.755	1.000
지점	1.000	1.000	0.000	1.000	1.000	1.000	1.000	0.946	0.939	0.954	0.942	0.962	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	1.000	1.000	1.000	0.946	0.939	0.954	0.942	0.962	1.000
연장((km))	0.524	1.000	0.000	1.000	1.000	0.694	0.598	0.192	0.452	0.292	0.000	0.000	1.000
좌표위치위도((°))	0.787	1.000	0.000	1.000	0.694	1.000	0.797	0.454	0.363	0.476	0.286	0.317	1.000
좌표위치경도((°))	0.896	1.000	0.000	1.000	0.598	0.797	1.000	0.642	0.516	0.631	0.557	0.672	1.000
co((g/km))	0.729	0.946	0.000	0.946	0.192	0.454	0.642	1.000	0.836	0.945	0.822	0.982	0.946
nox((g/km))	0.538	0.939	0.000	0.939	0.452	0.363	0.516	0.836	1.000	0.910	0.976	0.892	0.939
hc((g/km))	0.673	0.954	0.000	0.954	0.292	0.476	0.631	0.945	0.910	1.000	0.873	0.962	0.954
pm((g/km))	0.469	0.942	0.000	0.942	0.000	0.286	0.557	0.822	0.976	0.873	1.000	0.869	0.942
co2((g/km))	0.755	0.962	0.000	0.962	0.000	0.317	0.672	0.982	0.892	0.962	0.869	1.000	0.962
주소	1.000	1.000	0.000	1.000	1.000	1.000	1.000	0.946	0.939	0.954	0.942	0.962	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
기본키	1.000	0.007	-0.072	0.303	-0.378	-0.381	-0.386	-0.401	-0.366	0.000
연장((km))	0.007	1.000	0.135	-0.101	-0.050	-0.019	-0.024	-0.015	-0.059	0.000
좌표위치위도((°))	-0.072	0.135	1.000	-0.083	-0.082	-0.068	-0.074	-0.057	-0.092	0.000
좌표위치경도((°))	0.303	-0.101	-0.083	1.000	0.269	0.247	0.237	0.157	0.284	0.000
co((g/km))	-0.378	-0.050	-0.082	0.269	1.000	0.978	0.986	0.957	0.999	0.000
nox((g/km))	-0.381	-0.019	-0.068	0.247	0.978	1.000	0.997	0.986	0.978	0.000
hc((g/km))	-0.386	-0.024	-0.074	0.237	0.986	0.997	1.000	0.982	0.985	0.000
pm((g/km))	-0.401	-0.015	-0.057	0.157	0.957	0.986	0.982	1.000	0.958	0.000
co2((g/km))	-0.366	-0.059	-0.092	0.284	0.999	0.978	0.985	0.958	1.000	0.000
방향	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	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	20210201	36.07278	128.08611	1966.09	1534.17	217.34	110.94	503608.13	경북 김천 구성 하강
1	2	건기연	[0314-0]	2	구성-김천	11.4	20210201	36.07278	128.08611	2126.29	1725.54	242.0	103.35	544737.96	경북 김천 구성 하강
2	3	건기연	[0317-0]	1	공성-상주	11.9	20210201	36.35299	128.13935	2205.68	2185.17	314.26	143.1	531209.42	경북 상주 청리 원장
3	4	건기연	[0317-0]	2	공성-상주	11.9	20210201	36.35299	128.13935	2160.8	2167.4	293.68	145.57	544389.18	경북 상주 청리 원장
4	5	건기연	[0318-0]	1	상주-함창	14.4	20210201	36.50552	128.16946	5100.65	5704.67	723.08	378.67	1259041.29	경북 상주 외서 연봉
5	6	건기연	[0318-0]	2	상주-함창	14.4	20210201	36.50552	128.16946	5143.96	5650.67	715.41	387.68	1280177.9	경북 상주 외서 연봉
6	7	건기연	[0410-2]	1	추풍령-김천	1.8	20210201	36.14659	128.02544	1505.33	1330.84	177.72	98.09	388795.63	경북 김천 봉산 태화
7	8	건기연	[0410-2]	2	추풍령-김천	1.8	20210201	36.14659	128.02544	1445.66	1162.49	160.38	90.73	368882.7	경북 김천 봉산 태화
8	9	건기연	[0415-1]	1	성주-대구	3.8	20210201	35.98385	128.41106	7961.59	8076.09	1118.15	530.66	1955203.82	경북 칠곡 왜관 왜관
9	10	건기연	[0415-1]	2	성주-대구	3.8	20210201	35.98385	128.41106	7213.04	7691.21	1014.31	525.12	1795457.55	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	[3107-2]	1	기계-포항	2.4	20210201	36.06326	129.22771	2862.36	2699.87	364.8	190.9	719847.85	경북 포항 기계 내단
91	92	건기연	[3107-2]	2	기계-포항	2.4	20210201	36.06326	129.22771	2752.43	2243.21	313.13	177.16	703157.22	경북 포항 기계 내단
92	93	건기연	[3109-1]	1	죽장-부남	20.6	20210201	36.2488	129.04049	506.53	593.92	74.36	36.3	127437.42	경북 청송 현동 눌인
93	94	건기연	[3109-1]	2	죽장-부남	20.6	20210201	36.2488	129.04049	458.12	483.33	68.6	29.2	108502.38	경북 청송 현동 눌인
94	95	건기연	[3113-1]	1	진보-석보	6.0	20210201	36.59556	129.08611	930.01	822.8	100.38	53.85	251860.22	경북 영양 입암 신구
95	96	건기연	[3113-1]	2	진보-석보	6.0	20210201	36.59556	129.08611	923.99	655.39	97.47	46.34	239180.3	경북 영양 입암 신구
96	97	건기연	[3116-1]	1	녹동-영양	26.7	20210201	36.86368	129.01248	173.3	106.13	15.68	4.05	45513.21	경북 봉화 소천 서천
97	98	건기연	[3116-1]	2	녹동-영양	26.7	20210201	36.86368	129.01248	227.74	166.98	24.04	15.3	54975.18	경북 봉화 소천 서천
98	99	건기연	[3307-1]	1	고령-수륜	12.9	20210201	35.80817	128.23039	767.65	733.11	90.94	52.92	198613.11	경북 성주 수륜 계정
99	100	건기연	[3307-1]	2	고령-수륜	12.9	20210201	35.80817	128.23039	689.72	598.53	78.85	42.66	175293.35	경북 성주 수륜 계정

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)

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Dash Punctuation

Decimal Number

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Space Separator

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Interactions

Correlations

Missing values

Sample