gimi9 Pandas Profiling

Dataset statistics

Number of variables	15
Number of observations	1054
Missing cells	7
Missing cells (%)	< 0.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	136.0 KiB
Average record size in memory	132.1 B

Variable types

Text	1
Categorical	2
Numeric	12

Dataset

Description	제주특별자치도 서귀포시에 등록된 차량에 관한 데이터로 승용차, 승합차, 화물차, 특수차의 수에 관한 자료를 제공합니다.
Author	제주특별자치도 서귀포시
URL	https://www.data.go.kr/data/15108251/fileData.do

Alerts

`데이터기준일자` has constant value ""	Constant
`관용승용차` is highly overall correlated with `관용승합차` and 8 other fields	High correlation
`관용승합차` is highly overall correlated with `관용승용차` and 6 other fields	High correlation
`관용화물차` is highly overall correlated with `관용승용차` and 7 other fields	High correlation
`관용특수차` is highly overall correlated with `관용승용차` and 6 other fields	High correlation
`자가용승용차` is highly overall correlated with `관용승용차` and 10 other fields	High correlation
`자가용승합차` is highly overall correlated with `관용승용차` and 9 other fields	High correlation
`자가용화물차` is highly overall correlated with `관용승용차` and 10 other fields	High correlation
`자가용특수차` is highly overall correlated with `관용승용차` and 9 other fields	High correlation
`영업용승용차` is highly overall correlated with `자가용승용차` and 6 other fields	High correlation
`영업용승합차` is highly overall correlated with `읍면동`	High correlation
`영업용화물차` is highly overall correlated with `관용승용차` and 7 other fields	High correlation
`영업용특수차` is highly overall correlated with `자가용승용차` and 6 other fields	High correlation
`읍면동` is highly overall correlated with `관용승용차` and 11 other fields	High correlation
`관용승합차` has 400 (38.0%) zeros	Zeros
`관용화물차` has 59 (5.6%) zeros	Zeros
`관용특수차` has 525 (49.8%) zeros	Zeros
`자가용특수차` has 41 (3.9%) zeros	Zeros
`영업용승합차` has 567 (53.8%) zeros	Zeros
`영업용특수차` has 128 (12.1%) zeros	Zeros

Reproduction

Analysis started	2024-03-14 13:07:31.492361
Analysis finished	2024-03-14 13:08:08.529092
Duration	37.04 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

기준연월
Text

Distinct	63
Distinct (%)	6.0%
Missing	0
Missing (%)	0.0%
Memory size	8.4 KiB

Length

Max length	7
Median length	7
Mean length	6.9914611
Min length	6

Characters and Unicode

Total characters	7369
Distinct characters	16
Distinct categories	4 ?
Distinct scripts	2 ?
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	2019-01
2nd row	2019-01
3rd row	2019-01
4th row	2019-01
5th row	2019-01

Value	Count	Frequency (%)
2021-11	34	3.2%
2021-06	17	1.6%
2022-10	17	1.6%
2022-11	17	1.6%
2021-09	17	1.6%
2021-10	17	1.6%
2022-01	17	1.6%
2022-02	17	1.6%
2022-03	17	1.6%
2022-04	17	1.6%
Other values (53)	867	82.3%

Most occurring characters

Value	Count	Frequency (%)
2	2262	30.7%
0	2131	28.9%
-	1054	14.3%
1	860	11.7%
3	289	3.9%
9	287	3.9%
4	119	1.6%
8	85	1.2%
5	85	1.2%
6	85	1.2%
Other values (6)	112	1.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	6288	85.3%
Dash Punctuation	1054	14.3%
Lowercase Letter	18	0.2%
Uppercase Letter	9	0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	2262	36.0%
0	2131	33.9%
1	860	13.7%
3	289	4.6%
9	287	4.6%
4	119	1.9%
8	85	1.4%
5	85	1.4%
6	85	1.4%
7	85	1.4%

Lowercase Letter

Value	Count	Frequency (%)
e	9	50.0%
c	7	38.9%
p	2	11.1%

Uppercase Letter

Value	Count	Frequency (%)
D	7	77.8%
S	2	22.2%

Dash Punctuation

Value	Count	Frequency (%)
-	1054	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	7342	99.6%
Latin	27	0.4%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	2262	30.8%
0	2131	29.0%
-	1054	14.4%
1	860	11.7%
3	289	3.9%
9	287	3.9%
4	119	1.6%
8	85	1.2%
5	85	1.2%
6	85	1.2%

Latin

Value	Count	Frequency (%)
e	9	33.3%
D	7	25.9%
c	7	25.9%
S	2	7.4%
p	2	7.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7369	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	2262	30.7%
0	2131	28.9%
-	1054	14.3%
1	860	11.7%
3	289	3.9%
9	287	3.9%
4	119	1.6%
8	85	1.2%
5	85	1.2%
6	85	1.2%
Other values (6)	112	1.5%

읍면동
Categorical

HIGH CORRELATION

Distinct	17
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	8.4 KiB

대정읍	62
남원읍	62
성산읍	62
안덕면	62
표선면	62
Other values (12)	744

Length

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	대정읍
2nd row	남원읍
3rd row	성산읍
4th row	안덕면
5th row	표선면

Common Values

Value	Count	Frequency (%)
대정읍	62	5.9%
남원읍	62	5.9%
성산읍	62	5.9%
안덕면	62	5.9%
표선면	62	5.9%
송산동	62	5.9%
정방동	62	5.9%
중앙동	62	5.9%
천지동	62	5.9%
효돈동	62	5.9%
Other values (7)	434	41.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
대정읍	62	5.9%
효돈동	62	5.9%
중문동	62	5.9%
대천동	62	5.9%
대륜동	62	5.9%
서홍동	62	5.9%
동홍동	62	5.9%
영천동	62	5.9%
천지동	62	5.9%
남원읍	62	5.9%
Other values (7)	434	41.2%

관용승용차
Real number (ℝ)

HIGH CORRELATION

Distinct	51
Distinct (%)	4.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.367173

Minimum	1
Maximum	97
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.4 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	3
median	6
Q3	13.75
95-th percentile	81.35
Maximum	97
Range	96
Interquartile range (IQR)	10.75

Descriptive statistics

Standard deviation	23.796001
Coefficient of variation (CV)	1.5484957
Kurtosis	3.8225203
Mean	15.367173
Median Absolute Deviation (MAD)	4
Skewness	2.290322
Sum	16197
Variance	566.24967
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2	223	21.2%
3	149	14.1%
14	73	6.9%
4	67	6.4%
6	63	6.0%
7	58	5.5%
12	53	5.0%
5	53	5.0%
13	52	4.9%
11	30	2.8%
Other values (41)	233	22.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	7	0.7%
2	223	21.2%
3	149	14.1%
4	67	6.4%
5	53	5.0%
6	63	6.0%
7	58	5.5%
9	16	1.5%
10	19	1.8%
11	30	2.8%

Value	Count	Frequency (%)
97	1	0.1%
96	1	0.1%
95	1	0.1%
94	1	0.1%
93	1	0.1%
92	4	0.4%
91	7	0.7%
90	10	0.9%
89	7	0.7%
88	14	1.3%

관용승합차
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	33
Distinct (%)	3.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.585389

Minimum	0
Maximum	49
Zeros	400
Zeros (%)	38.0%
Negative	0
Negative (%)	0.0%
Memory size	9.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	3
Q3	11
95-th percentile	44
Maximum	49
Range	49
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	13.417817
Coefficient of variation (CV)	1.5628665
Kurtosis	2.3269631
Mean	8.585389
Median Absolute Deviation (MAD)	3
Skewness	1.8840109
Sum	9049
Variance	180.03781
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
0	400	38.0%
1	92	8.7%
6	70	6.6%
4	67	6.4%
3	55	5.2%
14	38	3.6%
5	36	3.4%
44	31	2.9%
10	26	2.5%
12	25	2.4%
Other values (23)	214	20.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	400	38.0%
1	92	8.7%
2	4	0.4%
3	55	5.2%
4	67	6.4%
5	36	3.4%
6	70	6.6%
7	5	0.5%
8	13	1.2%
9	13	1.2%

Value	Count	Frequency (%)
49	1	0.1%
48	1	0.1%
47	13	1.2%
46	10	0.9%
45	16	1.5%
44	31	2.9%
43	15	1.4%
42	7	0.7%
41	5	0.5%
40	1	0.1%

관용화물차
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	74
Distinct (%)	7.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	19.824478

Minimum	0
Maximum	107
Zeros	59
Zeros (%)	5.6%
Negative	0
Negative (%)	0.0%
Memory size	9.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	8
Q3	31
95-th percentile	86
Maximum	107
Range	107
Interquartile range (IQR)	30

Descriptive statistics

Standard deviation	28.009741
Coefficient of variation (CV)	1.4128867
Kurtosis	1.4353717
Mean	19.824478
Median Absolute Deviation (MAD)	7
Skewness	1.619299
Sum	20895
Variance	784.54561
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2	225	21.3%
1	206	19.5%
8	69	6.5%
0	59	5.6%
9	51	4.8%
16	37	3.5%
12	25	2.4%
32	18	1.7%
10	18	1.7%
51	14	1.3%
Other values (64)	332	31.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	59	5.6%
1	206	19.5%
2	225	21.3%
3	6	0.6%
6	7	0.7%
7	11	1.0%
8	69	6.5%
9	51	4.8%
10	18	1.7%
11	8	0.8%

Value	Count	Frequency (%)
107	1	0.1%
105	3	0.3%
103	1	0.1%
102	8	0.8%
98	5	0.5%
97	2	0.2%
96	4	0.4%
95	4	0.4%
93	5	0.5%
91	9	0.9%

관용특수차
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	15
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.3282732

Minimum	0
Maximum	17
Zeros	525
Zeros (%)	49.8%
Negative	0
Negative (%)	0.0%
Memory size	9.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	3
95-th percentile	13
Maximum	17
Range	17
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	3.9419358
Coefficient of variation (CV)	1.6930727
Kurtosis	3.9131193
Mean	2.3282732
Median Absolute Deviation (MAD)	1
Skewness	2.1120935
Sum	2454
Variance	15.538858
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
0	525	49.8%
1	210	19.9%
3	43	4.1%
7	42	4.0%
2	40	3.8%
6	40	3.8%
8	36	3.4%
5	25	2.4%
4	23	2.2%
15	22	2.1%
Other values (5)	48	4.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	525	49.8%
1	210	19.9%
2	40	3.8%
3	43	4.1%
4	23	2.2%
5	25	2.4%
6	40	3.8%
7	42	4.0%
8	36	3.4%
9	8	0.8%

Value	Count	Frequency (%)
17	11	1.0%
16	6	0.6%
15	22	2.1%
14	12	1.1%
13	11	1.0%
9	8	0.8%
8	36	3.4%
7	42	4.0%
6	40	3.8%
5	25	2.4%

자가용승용차
Real number (ℝ)

HIGH CORRELATION

Distinct	854
Distinct (%)	81.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4344.8795

Minimum	706
Maximum	9303
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.4 KiB

Quantile statistics

Minimum	706
5-th percentile	770.3
Q1	1689
median	4655.5
Q3	6199.5
95-th percentile	8681.8
Maximum	9303
Range	8597
Interquartile range (IQR)	4510.5

Descriptive statistics

Standard deviation	2672.9377
Coefficient of variation (CV)	0.61519259
Kurtosis	-1.3180399
Mean	4344.8795
Median Absolute Deviation (MAD)	2542
Skewness	0.16706697
Sum	4579503
Variance	7144595.7
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
730	7	0.7%
1146	5	0.5%
729	5	0.5%
739	5	0.5%
1568	4	0.4%
1686	4	0.4%
1163	4	0.4%
1145	4	0.4%
1557	4	0.4%
1141	4	0.4%
Other values (844)	1008	95.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
706	1	0.1%
707	1	0.1%
713	1	0.1%
716	3	0.3%
719	1	0.1%
720	1	0.1%
722	2	0.2%
724	2	0.2%
726	1	0.1%
729	5	0.5%

Value	Count	Frequency (%)
9303	1	0.1%
9296	1	0.1%
9288	1	0.1%
9279	1	0.1%
9278	1	0.1%
9258	1	0.1%
9250	1	0.1%
9247	1	0.1%
9238	1	0.1%
9219	1	0.1%

자가용승합차
Real number (ℝ)

HIGH CORRELATION

Distinct	317
Distinct (%)	30.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	189.81404

Minimum	45
Maximum	435
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.4 KiB

Quantile statistics

Minimum	45
5-th percentile	53.65
Q1	85
median	180.5
Q3	261.75
95-th percentile	369.35
Maximum	435
Range	390
Interquartile range (IQR)	176.75

Descriptive statistics

Standard deviation	104.64207
Coefficient of variation (CV)	0.55128731
Kurtosis	-0.99462993
Mean	189.81404
Median Absolute Deviation (MAD)	93.5
Skewness	0.32459677
Sum	200064
Variance	10949.963
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
58	15	1.4%
48	13	1.2%
47	13	1.2%
59	12	1.1%
64	11	1.0%
66	11	1.0%
238	10	0.9%
63	10	0.9%
86	10	0.9%
62	9	0.9%
Other values (307)	940	89.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
45	3	0.3%
46	4	0.4%
47	13	1.2%
48	13	1.2%
49	6	0.6%
50	4	0.4%
51	3	0.3%
52	1	0.1%
53	6	0.6%
54	7	0.7%

Value	Count	Frequency (%)
435	1	0.1%
434	1	0.1%
432	1	0.1%
426	3	0.3%
425	5	0.5%
424	1	0.1%
417	1	0.1%
416	1	0.1%
413	1	0.1%
412	2	0.2%

자가용화물차
Real number (ℝ)

HIGH CORRELATION

Distinct	643
Distinct (%)	61.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1610.7808

Minimum	198
Maximum	4316
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.4 KiB

Quantile statistics

Minimum	198
5-th percentile	227.65
Q1	657
median	1375
Q3	2293
95-th percentile	4208
Maximum	4316
Range	4118
Interquartile range (IQR)	1636

Descriptive statistics

Standard deviation	1079.2416
Coefficient of variation (CV)	0.67001142
Kurtosis	-0.055917096
Mean	1610.7808
Median Absolute Deviation (MAD)	772
Skewness	0.76085172
Sum	1697763
Variance	1164762.3
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
210	7	0.7%
612	6	0.6%
211	6	0.6%
3175	5	0.5%
1348	5	0.5%
2293	5	0.5%
1385	5	0.5%
2130	5	0.5%
327	5	0.5%
1375	5	0.5%
Other values (633)	1000	94.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
198	1	0.1%
199	1	0.1%
200	4	0.4%
203	2	0.2%
204	2	0.2%
205	2	0.2%
206	2	0.2%
207	4	0.4%
208	2	0.2%
209	4	0.4%

Value	Count	Frequency (%)
4316	1	0.1%
4313	1	0.1%
4311	1	0.1%
4300	1	0.1%
4291	1	0.1%
4288	1	0.1%
4286	2	0.2%
4285	1	0.1%
4284	1	0.1%
4281	1	0.1%

자가용특수차
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	36
Distinct (%)	3.4%
Missing	1
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	11.949668

Minimum	0
Maximum	35
Zeros	41
Zeros (%)	3.9%
Negative	0
Negative (%)	0.0%
Memory size	9.4 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	4
median	13
Q3	19
95-th percentile	27.4
Maximum	35
Range	35
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	8.7864576
Coefficient of variation (CV)	0.73528887
Kurtosis	-1.0149551
Mean	11.949668
Median Absolute Deviation (MAD)	8
Skewness	0.306509
Sum	12583
Variance	77.201837
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=36)

Value	Count	Frequency (%)
2	131	12.4%
5	77	7.3%
1	67	6.4%
19	55	5.2%
18	53	5.0%
17	46	4.4%
20	46	4.4%
21	46	4.4%
0	41	3.9%
14	40	3.8%
Other values (26)	451	42.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	41	3.9%
1	67	6.4%
2	131	12.4%
3	21	2.0%
4	39	3.7%
5	77	7.3%
6	29	2.8%
7	38	3.6%
8	27	2.6%
9	25	2.4%

Value	Count	Frequency (%)
35	1	0.1%
34	1	0.1%
33	4	0.4%
32	7	0.7%
31	5	0.5%
30	17	1.6%
29	10	0.9%
28	8	0.8%
27	4	0.4%
26	9	0.9%

영업용승용차
Real number (ℝ)

HIGH CORRELATION

Distinct	121
Distinct (%)	11.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	65.470588

Minimum	4
Maximum	246
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.4 KiB

Quantile statistics

Minimum	4
5-th percentile	4
Q1	23
median	60
Q3	100.75
95-th percentile	142
Maximum	246
Range	242
Interquartile range (IQR)	77.75

Descriptive statistics

Standard deviation	47.34014
Coefficient of variation (CV)	0.72307492
Kurtosis	1.0794217
Mean	65.470588
Median Absolute Deviation (MAD)	39
Skewness	0.91901237
Sum	69006
Variance	2241.0889
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4	59	5.6%
13	55	5.2%
11	41	3.9%
21	29	2.8%
54	29	2.8%
60	26	2.5%
46	25	2.4%
23	24	2.3%
103	22	2.1%
25	21	2.0%
Other values (111)	723	68.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	59	5.6%
5	3	0.3%
10	7	0.7%
11	41	3.9%
12	16	1.5%
13	55	5.2%
14	14	1.3%
15	3	0.3%
16	5	0.5%
18	1	0.1%

Value	Count	Frequency (%)
246	3	0.3%
238	4	0.4%
237	2	0.2%
233	1	0.1%
228	1	0.1%
207	2	0.2%
201	1	0.1%
194	3	0.3%
193	5	0.5%
191	5	0.5%

영업용승합차
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	16
Distinct (%)	1.5%
Missing	4
Missing (%)	0.4%
Infinite	0
Infinite (%)	0.0%
Mean	8.9514286

Minimum	0
Maximum	117
Zeros	567
Zeros (%)	53.8%
Negative	0
Negative (%)	0.0%
Memory size	9.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	113
Maximum	117
Range	117
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	27.058362
Coefficient of variation (CV)	3.0227981
Kurtosis	10.558647
Mean	8.9514286
Median Absolute Deviation (MAD)	0
Skewness	3.4625762
Sum	9399
Variance	732.15493
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
0	567	53.8%
1	235	22.3%
3	68	6.5%
27	31	2.9%
113	29	2.8%
26	28	2.7%
6	23	2.2%
115	14	1.3%
4	14	1.3%
2	13	1.2%
Other values (6)	28	2.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	567	53.8%
1	235	22.3%
2	13	1.2%
3	68	6.5%
4	14	1.3%
5	6	0.6%
6	23	2.2%
24	2	0.2%
25	1	0.1%
26	28	2.7%

Value	Count	Frequency (%)
117	5	0.5%
116	2	0.2%
115	14	1.3%
114	12	1.1%
113	29	2.8%
27	31	2.9%
26	28	2.7%
25	1	0.1%
24	2	0.2%
6	23	2.2%

영업용화물차
Real number (ℝ)

HIGH CORRELATION

Distinct	95
Distinct (%)	9.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	33.399431

Minimum	2
Maximum	102
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.4 KiB

Quantile statistics

Minimum	2
5-th percentile	5
Q1	11
median	29
Q3	51
95-th percentile	83
Maximum	102
Range	100
Interquartile range (IQR)	40

Descriptive statistics

Standard deviation	24.702808
Coefficient of variation (CV)	0.73961763
Kurtosis	-0.36770902
Mean	33.399431
Median Absolute Deviation (MAD)	18
Skewness	0.72014074
Sum	35203
Variance	610.22872
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5	56	5.3%
11	54	5.1%
10	43	4.1%
12	32	3.0%
6	31	2.9%
42	30	2.8%
43	28	2.7%
14	27	2.6%
26	27	2.6%
4	24	2.3%
Other values (85)	702	66.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	6	0.6%
3	15	1.4%
4	24	2.3%
5	56	5.3%
6	31	2.9%
7	16	1.5%
8	22	2.1%
9	13	1.2%
10	43	4.1%
11	54	5.1%

Value	Count	Frequency (%)
102	2	0.2%
98	3	0.3%
97	1	0.1%
96	2	0.2%
95	2	0.2%
94	9	0.9%
93	3	0.3%
92	5	0.5%
91	4	0.4%
90	7	0.7%

영업용특수차
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	31
Distinct (%)	2.9%
Missing	2
Missing (%)	0.2%
Infinite	0
Infinite (%)	0.0%
Mean	7.0285171

Minimum	0
Maximum	31
Zeros	128
Zeros (%)	12.1%
Negative	0
Negative (%)	0.0%
Memory size	9.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	3
median	5
Q3	8
95-th percentile	24
Maximum	31
Range	31
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	7.1147416
Coefficient of variation (CV)	1.0122678
Kurtosis	2.2251072
Mean	7.0285171
Median Absolute Deviation (MAD)	3
Skewness	1.6771801
Sum	7394
Variance	50.619548
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
4	168	15.9%
0	128	12.1%
5	104	9.9%
2	87	8.3%
3	80	7.6%
8	79	7.5%
7	57	5.4%
6	55	5.2%
1	42	4.0%
12	40	3.8%
Other values (21)	212	20.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	128	12.1%
1	42	4.0%
2	87	8.3%
3	80	7.6%
4	168	15.9%
5	104	9.9%
6	55	5.2%
7	57	5.4%
8	79	7.5%
9	30	2.8%

Value	Count	Frequency (%)
31	4	0.4%
30	9	0.9%
29	4	0.4%
28	16	1.5%
27	6	0.6%
26	1	0.1%
25	8	0.8%
24	15	1.4%
23	17	1.6%
22	11	1.0%

데이터기준일자
Categorical

CONSTANT

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	8.4 KiB

2024-03-01	1054

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2024-03-01
2nd row	2024-03-01
3rd row	2024-03-01
4th row	2024-03-01
5th row	2024-03-01

Common Values

Value	Count	Frequency (%)
2024-03-01	1054	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2024-03-01	1054	100.0%

Phik (φk)
Auto

Heatmap
Table

	기준연월	읍면동	관용승용차	관용승합차	관용화물차	관용특수차	자가용승용차	자가용승합차	자가용화물차	자가용특수차	영업용승용차	영업용승합차	영업용화물차	영업용특수차
기준연월	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
읍면동	0.000	1.000	0.898	0.896	0.921	0.901	0.958	0.943	0.991	0.842	0.932	1.000	0.922	0.872
관용승용차	0.000	0.898	1.000	0.692	0.862	0.811	0.784	0.653	0.738	0.567	0.661	0.609	0.640	0.516
관용승합차	0.000	0.896	0.692	1.000	0.816	0.874	0.845	0.689	0.874	0.517	0.656	0.907	0.711	0.558
관용화물차	0.000	0.921	0.862	0.816	1.000	0.822	0.810	0.836	0.803	0.731	0.793	0.804	0.821	0.752
관용특수차	0.000	0.901	0.811	0.874	0.822	1.000	0.869	0.677	0.918	0.562	0.650	0.317	0.648	0.503
자가용승용차	0.000	0.958	0.784	0.845	0.810	0.869	1.000	0.852	0.950	0.751	0.811	0.803	0.810	0.727
자가용승합차	0.000	0.943	0.653	0.689	0.836	0.677	0.852	1.000	0.872	0.849	0.929	0.791	0.909	0.869
자가용화물차	0.000	0.991	0.738	0.874	0.803	0.918	0.950	0.872	1.000	0.735	0.832	0.662	0.824	0.801
자가용특수차	0.000	0.842	0.567	0.517	0.731	0.562	0.751	0.849	0.735	1.000	0.845	0.483	0.870	0.746
영업용승용차	0.000	0.932	0.661	0.656	0.793	0.650	0.811	0.929	0.832	0.845	1.000	0.631	0.913	0.835
영업용승합차	0.000	1.000	0.609	0.907	0.804	0.317	0.803	0.791	0.662	0.483	0.631	1.000	0.755	0.329
영업용화물차	0.000	0.922	0.640	0.711	0.821	0.648	0.810	0.909	0.824	0.870	0.913	0.755	1.000	0.898
영업용특수차	0.000	0.872	0.516	0.558	0.752	0.503	0.727	0.869	0.801	0.746	0.835	0.329	0.898	1.000

Heatmap
Table

	관용승용차	관용승합차	관용화물차	관용특수차	자가용승용차	자가용승합차	자가용화물차	자가용특수차	영업용승용차	영업용승합차	영업용화물차	영업용특수차	읍면동
관용승용차	1.000	0.828	0.897	0.640	0.664	0.558	0.638	0.618	0.412	0.158	0.567	0.426	0.660
관용승합차	0.828	1.000	0.891	0.683	0.524	0.493	0.580	0.547	0.396	0.198	0.485	0.348	0.639
관용화물차	0.897	0.891	1.000	0.666	0.574	0.514	0.587	0.563	0.399	0.080	0.471	0.432	0.694
관용특수차	0.640	0.683	0.666	1.000	0.627	0.646	0.676	0.497	0.490	-0.201	0.486	0.473	0.650
자가용승용차	0.664	0.524	0.574	0.627	1.000	0.942	0.947	0.873	0.724	0.383	0.779	0.639	0.809
자가용승합차	0.558	0.493	0.514	0.646	0.942	1.000	0.954	0.819	0.752	0.392	0.787	0.666	0.759
자가용화물차	0.638	0.580	0.587	0.676	0.947	0.954	1.000	0.830	0.712	0.349	0.789	0.622	0.951
자가용특수차	0.618	0.547	0.563	0.497	0.873	0.819	0.830	1.000	0.653	0.422	0.818	0.682	0.531
영업용승용차	0.412	0.396	0.399	0.490	0.724	0.752	0.712	0.653	1.000	0.371	0.675	0.634	0.724
영업용승합차	0.158	0.198	0.080	-0.201	0.383	0.392	0.349	0.422	0.371	1.000	0.418	0.126	0.993
영업용화물차	0.567	0.485	0.471	0.486	0.779	0.787	0.789	0.818	0.675	0.418	1.000	0.727	0.684
영업용특수차	0.426	0.348	0.432	0.473	0.639	0.666	0.622	0.682	0.634	0.126	0.727	1.000	0.583
읍면동	0.660	0.639	0.694	0.650	0.809	0.759	0.951	0.531	0.724	0.993	0.684	0.583	1.000

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.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	기준연월	읍면동	관용승용차	관용승합차	관용화물차	관용특수차	자가용승용차	자가용승합차	자가용화물차	자가용특수차	영업용승용차	영업용승합차	영업용화물차	영업용특수차	데이터기준일자
0	2019-01	대정읍	14	4	8	3	7977	399	3275	12	89	3	41	2	2024-03-01
1	2019-01	남원읍	14	6	10	1	7588	336	4213	10	111	1	55	12	2024-03-01
2	2019-01	성산읍	12	14	32	5	6028	280	2702	11	124	0	25	4	2024-03-01
3	2019-01	안덕면	4	3	6	2	4987	294	2126	12	71	0	55	24	2024-03-01
4	2019-01	표선면	13	42	26	8	4893	257	2277	16	64	0	32	6	2024-03-01
5	2019-01	송산동	2	0	2	0	1619	99	700	5	16	0	11	5	2024-03-01
6	2019-01	정방동	3	1	1	0	775	59	232	0	5	0	5	0	2024-03-01
7	2019-01	중앙동	3	0	1	0	1182	68	426	2	12	0	10	3	2024-03-01
8	2019-01	천지동	2	1	1	0	1144	86	401	0	23	1	13	0	2024-03-01
9	2019-01	효돈동	7	0	2	0	2060	82	1183	8	26	0	12	4	2024-03-01

	기준연월	읍면동	관용승용차	관용승합차	관용화물차	관용특수차	자가용승용차	자가용승합차	자가용화물차	자가용특수차	영업용승용차	영업용승합차	영업용화물차	영업용특수차	데이터기준일자
1044	2024-02	중앙동	3	0	1	0	936	53	326	2	10	0	10	1	2024-03-01
1045	2024-02	천지동	2	0	0	0	1138	60	357	2	13	0	8	1	2024-03-01
1046	2024-02	효돈동	5	0	2	0	2249	68	1148	5	22	0	18	2	2024-03-01
1047	2024-02	영천동	7	6	9	0	2314	138	1228	9	103	114	68	1	2024-03-01
1048	2024-02	동홍동	3	0	2	0	9278	325	2470	19	129	1	102	16	2024-03-01
1049	2024-02	서홍동	72	15	103	4	4485	152	1226	8	46	0	38	6	2024-03-01
1050	2024-02	대륜동	80	44	84	13	6929	188	1717	18	71	0	54	3	2024-03-01
1051	2024-02	대천동	18	11	42	0	6151	204	1393	22	52	25	30	10	2024-03-01
1052	2024-02	중문동	2	1	1	0	5210	168	1412	9	48	6	25	4	2024-03-01
1053	2024-02	예래동	1	0	1	0	1806	103	599	4	23	0	5	5	2024-03-01

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Lowercase Letter

Uppercase Letter

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values

Length

Common Values (Plot)

Interactions

Correlations

Missing values

Sample