gimi9 Pandas Profiling

Dataset statistics

Number of variables	50
Number of observations	654
Missing cells	3506
Missing cells (%)	10.7%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	260.1 KiB
Average record size in memory	407.2 B

Variable types

Numeric	6
Text	9
Categorical	34
Unsupported	1

Dataset

Description	2021-01-05
Author	부산시공공데이터포털
URL	https://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901053401154000

Alerts

`last_load_dttm` has constant value ""	Constant
`platanus_orientalis` is highly imbalanced (82.9%)	Imbalance
`platanus` is highly imbalanced (80.3%)	Imbalance
`sophora_japonica` is highly imbalanced (83.7%)	Imbalance
`metasequoia` is highly imbalanced (82.4%)	Imbalance
`horse_chestnut` is highly imbalanced (83.7%)	Imbalance
`acer_buergerianum` is highly imbalanced (81.9%)	Imbalance
`celtis_sinensis` is highly imbalanced (83.4%)	Imbalance
`tulipifera` is highly imbalanced (83.1%)	Imbalance
`acer_palmatum` is highly imbalanced (82.6%)	Imbalance
`firmiana_simplex` is highly imbalanced (81.5%)	Imbalance
`persimmon` is highly imbalanced (76.5%)	Imbalance
`cornus_kousa` is highly imbalanced (81.0%)	Imbalance
`chinese_quince` is highly imbalanced (76.5%)	Imbalance
`goldenrain_tree` is highly imbalanced (79.1%)	Imbalance
`cinnamon_tree` is highly imbalanced (76.5%)	Imbalance
`ailanthus_altissima` is highly imbalanced (76.5%)	Imbalance
`amur_cork_tree` is highly imbalanced (76.5%)	Imbalance
`babylon_willow` is highly imbalanced (71.4%)	Imbalance
`three_flowered_maple` is highly imbalanced (76.5%)	Imbalance
`japanese_elm` is highly imbalanced (71.4%)	Imbalance
`jujube` is highly imbalanced (76.5%)	Imbalance
`pinus_thunbergii` is highly imbalanced (81.8%)	Imbalance
`myrsinaleaf_oak` is highly imbalanced (81.6%)	Imbalance
`castanopsis_sieboldii` is highly imbalanced (83.3%)	Imbalance
`cedrus_deodara` is highly imbalanced (82.3%)	Imbalance
`camphor_tree` is highly imbalanced (81.7%)	Imbalance
`torulosa` is highly imbalanced (81.7%)	Imbalance
`neolitsea_sericea` is highly imbalanced (79.1%)	Imbalance
`taxus_cuspidata` is highly imbalanced (76.5%)	Imbalance
`sweet_viburnum` is highly imbalanced (71.4%)	Imbalance
`etc_tree` is highly imbalanced (76.5%)	Imbalance
`reference_date` is highly imbalanced (51.0%)	Imbalance
`plant_distance` has 120 (18.3%) missing values	Missing
`prunus_yedoensis` has 372 (56.9%) missing values	Missing
`ginkgo` has 359 (54.9%) missing values	Missing
`sawleaf_zelkova` has 440 (67.3%) missing values	Missing
`chinese_fringe_tree` has 498 (76.1%) missing values	Missing
`pin_oak` has 654 (100.0%) missing values	Missing
`silver_magnolia` has 531 (81.2%) missing values	Missing
`kurogane_holly` has 525 (80.3%) missing values	Missing
`skey` has unique values	Unique
`pin_oak` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`chinese_fringe_tree` has 49 (7.5%) zeros	Zeros

Reproduction

Analysis started	2024-04-16 05:53:04.523603
Analysis finished	2024-04-16 05:53:05.518042
Duration	0.99 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

skey
Real number (ℝ)

UNIQUE

Distinct	654
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4480.3364

Minimum	3641
Maximum	4842
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.9 KiB

Quantile statistics

Minimum	3641
5-th percentile	4192.65
Q1	4323.25
median	4515.5
Q3	4678.75
95-th percentile	4809.35
Maximum	4842
Range	1201
Interquartile range (IQR)	355.5

Descriptive statistics

Standard deviation	259.11567
Coefficient of variation (CV)	0.057833976
Kurtosis	2.1748093
Mean	4480.3364
Median Absolute Deviation (MAD)	178
Skewness	-1.2202589
Sum	2930140
Variance	67140.928
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4544	1	0.2%
4378	1	0.2%
4398	1	0.2%
4399	1	0.2%
4400	1	0.2%
4801	1	0.2%
4203	1	0.2%
4204	1	0.2%
4205	1	0.2%
4206	1	0.2%
Other values (644)	644	98.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3641	1	0.2%
3642	1	0.2%
3643	1	0.2%
3644	1	0.2%
3645	1	0.2%
3646	1	0.2%
3647	1	0.2%
3648	1	0.2%
3649	1	0.2%
3650	1	0.2%

Value	Count	Frequency (%)
4842	1	0.2%
4841	1	0.2%
4840	1	0.2%
4839	1	0.2%
4838	1	0.2%
4837	1	0.2%
4836	1	0.2%
4835	1	0.2%
4834	1	0.2%
4833	1	0.2%

loc_nm
Text

Distinct	627
Distinct (%)	96.0%
Missing	1
Missing (%)	0.2%
Memory size	5.2 KiB

Length

Max length	27
Median length	24
Mean length	14.719755
Min length	3

Characters and Unicode

Total characters	9612
Distinct characters	269
Distinct categories	9 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

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

Unique

Unique	612 ?
Unique (%)	93.7%

Sample

1st row	부산광역시 해운대구 동백로
2nd row	부산광역시 해운대구 달맞이길
3rd row	부산광역시 해운대구 좌동순환로
4th row	부산광역시 해운대구 좌동순환로 15번길
5th row	부산광역시 해운대구 좌동순환로 468번길

Value	Count	Frequency (%)
부산광역시	559	29.0%
해운대구	67	3.5%
부산진구	63	3.3%
기장군	60	3.1%
사하구	49	2.5%
북구	48	2.5%
동래구	48	2.5%
사상구	43	2.2%
영도구	30	1.6%
동구	29	1.5%
Other values (610)	929	48.3%

Most occurring characters

Value	Count	Frequency (%)
	1389	14.5%
산	703	7.3%
로	643	6.7%
부	629	6.5%
시	582	6.1%
광	575	6.0%
역	559	5.8%
구	532	5.5%
대	226	2.4%
길	226	2.4%
Other values (259)	3548	36.9%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	7553	78.6%
Space Separator	1389	14.5%
Decimal Number	505	5.3%
Open Punctuation	65	0.7%
Close Punctuation	65	0.7%
Other Punctuation	17	0.2%
Math Symbol	9	0.1%
Uppercase Letter	8	0.1%
Dash Punctuation	1	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
산	703	9.3%
로	643	8.5%
부	629	8.3%
시	582	7.7%
광	575	7.6%
역	559	7.4%
구	532	7.0%
대	226	3.0%
길	226	3.0%
번	167	2.2%
Other values (233)	2711	35.9%

Decimal Number

Value	Count	Frequency (%)
1	97	19.2%
3	72	14.3%
2	67	13.3%
0	50	9.9%
4	49	9.7%
5	39	7.7%
9	37	7.3%
7	36	7.1%
6	34	6.7%
8	24	4.8%

Uppercase Letter

Value	Count	Frequency (%)
C	2	25.0%
I	1	12.5%
G	1	12.5%
L	1	12.5%
E	1	12.5%
P	1	12.5%
A	1	12.5%

Math Symbol

Value	Count	Frequency (%)
~	6	66.7%
+	2	22.2%
∙	1	11.1%

Other Punctuation

Value	Count	Frequency (%)
.	15	88.2%
,	2	11.8%

Space Separator

Value	Count	Frequency (%)
	1389	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	65	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	65	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	7553	78.6%
Common	2051	21.3%
Latin	8	0.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
산	703	9.3%
로	643	8.5%
부	629	8.3%
시	582	7.7%
광	575	7.6%
역	559	7.4%
구	532	7.0%
대	226	3.0%
길	226	3.0%
번	167	2.2%
Other values (233)	2711	35.9%

Common

Value	Count	Frequency (%)
	1389	67.7%
1	97	4.7%
3	72	3.5%
2	67	3.3%
(	65	3.2%
)	65	3.2%
0	50	2.4%
4	49	2.4%
5	39	1.9%
9	37	1.8%
Other values (9)	121	5.9%

Latin

Value	Count	Frequency (%)
C	2	25.0%
I	1	12.5%
G	1	12.5%
L	1	12.5%
E	1	12.5%
P	1	12.5%
A	1	12.5%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	7553	78.6%
ASCII	2058	21.4%
Math Operators	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1389	67.5%
1	97	4.7%
3	72	3.5%
2	67	3.3%
(	65	3.2%
)	65	3.2%
0	50	2.4%
4	49	2.4%
5	39	1.9%
9	37	1.8%
Other values (15)	128	6.2%

Hangul

Value	Count	Frequency (%)
산	703	9.3%
로	643	8.5%
부	629	8.3%
시	582	7.7%
광	575	7.6%
역	559	7.4%
구	532	7.0%
대	226	3.0%
길	226	3.0%
번	167	2.2%
Other values (233)	2711	35.9%

Math Operators

Value	Count	Frequency (%)
∙	1	100.0%

lat
Real number (ℝ)

Distinct	616
Distinct (%)	94.3%
Missing	1
Missing (%)	0.2%
Infinite	0
Infinite (%)	0.0%
Mean	35.160187

Minimum	35.030373
Maximum	35.374455
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.9 KiB

Quantile statistics

Minimum	35.030373
5-th percentile	35.072638
Q1	35.101761
median	35.153641
Q3	35.200214
95-th percentile	35.310974
Maximum	35.374455
Range	0.344082
Interquartile range (IQR)	0.098453

Descriptive statistics

Standard deviation	0.068431644
Coefficient of variation (CV)	0.0019462821
Kurtosis	0.088836381
Mean	35.160187
Median Absolute Deviation (MAD)	0.050580917
Skewness	0.73245927
Sum	22959.602
Variance	0.0046828898
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
35.208078	4	0.6%
35.101713	3	0.5%
35.16230000334156	3	0.5%
35.15545936863982	3	0.5%
35.191714	3	0.5%
35.095758	3	0.5%
35.232297	2	0.3%
35.1256321	2	0.3%
35.197626	2	0.3%
35.197558	2	0.3%
Other values (606)	626	95.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
35.030373	1	0.2%
35.031321	1	0.2%
35.049232	1	0.2%
35.05039	1	0.2%
35.053596	1	0.2%
35.053981	1	0.2%
35.056847	1	0.2%
35.060066	1	0.2%
35.060767	1	0.2%
35.061426	1	0.2%

Value	Count	Frequency (%)
35.374455	1	0.2%
35.370551	1	0.2%
35.357995	1	0.2%
35.351631	1	0.2%
35.344148	1	0.2%
35.340786	1	0.2%
35.340124	1	0.2%
35.340092	1	0.2%
35.338915	1	0.2%
35.337265	1	0.2%

lng
Real number (ℝ)

Distinct	616
Distinct (%)	94.3%
Missing	1
Missing (%)	0.2%
Infinite	0
Infinite (%)	0.0%
Mean	129.04961

Minimum	128.81688
Maximum	129.27168
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.9 KiB

Quantile statistics

Minimum	128.81688
5-th percentile	128.88323
Q1	129.00913
median	129.05906
Q3	129.09361
95-th percentile	129.19396
Maximum	129.27168
Range	0.454801
Interquartile range (IQR)	0.084477

Descriptive statistics

Standard deviation	0.079907654
Coefficient of variation (CV)	0.00061920103
Kurtosis	0.9212496
Mean	129.04961
Median Absolute Deviation (MAD)	0.042769
Skewness	-0.22853801
Sum	84269.398
Variance	0.0063852332
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
129.069547	4	0.6%
129.153866	3	0.5%
128.98593871486636	3	0.5%
129.100261	3	0.5%
128.868141	3	0.5%
128.99133288259324	3	0.5%
129.09549	2	0.3%
128.959676	2	0.3%
129.091161	2	0.3%
129.08786	2	0.3%
Other values (606)	626	95.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
128.816884	1	0.2%
128.81853	1	0.2%
128.820129	1	0.2%
128.827667	1	0.2%
128.83021	1	0.2%
128.831475	1	0.2%
128.831808	1	0.2%
128.831938	1	0.2%
128.833038	1	0.2%
128.833334	1	0.2%

Value	Count	Frequency (%)
129.271685	1	0.2%
129.269173	1	0.2%
129.258504	1	0.2%
129.258446	1	0.2%
129.255467	1	0.2%
129.253591	1	0.2%
129.249412	1	0.2%
129.243941	1	0.2%
129.243469	1	0.2%
129.242121	1	0.2%

sec_timepoint
Text

Distinct	574
Distinct (%)	87.9%
Missing	1
Missing (%)	0.2%
Memory size	5.2 KiB

Length

Max length	18
Median length	15
Mean length	6.0290965
Min length	3

Characters and Unicode

Total characters	3937
Distinct characters	346
Distinct categories	10 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

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

Unique

Unique	514 ?
Unique (%)	78.7%

Sample

1st row	운촌삼거리
2nd row	미포육거리
3rd row	중동 E-마트
4th row	수영세무서
5th row	동일아파트 앞 사거리

Value	Count	Frequency (%)
내	10	1.3%
아파트	9	1.1%
앞	8	1.0%
삼거리	6	0.8%
충렬대로	5	0.6%
백양대로	5	0.6%
입구	5	0.6%
경계	4	0.5%
사거리	4	0.5%
방통대	4	0.5%
Other values (620)	726	92.4%

Most occurring characters

Value	Count	Frequency (%)
	199	5.1%
로	180	4.6%
교	113	2.9%
대	92	2.3%
동	88	2.2%
리	83	2.1%
거	74	1.9%
아	72	1.8%
사	67	1.7%
트	66	1.7%
Other values (336)	2903	73.7%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	3422	86.9%
Decimal Number	222	5.6%
Space Separator	199	5.1%
Uppercase Letter	62	1.6%
Dash Punctuation	13	0.3%
Open Punctuation	8	0.2%
Close Punctuation	8	0.2%
Math Symbol	1	< 0.1%
Other Symbol	1	< 0.1%
Other Punctuation	1	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
로	180	5.3%
교	113	3.3%
대	92	2.7%
동	88	2.6%
리	83	2.4%
거	74	2.2%
아	72	2.1%
사	67	2.0%
트	66	1.9%
차	64	1.9%
Other values (304)	2523	73.7%

Uppercase Letter

Value	Count	Frequency (%)
S	9	14.5%
K	9	14.5%
I	8	12.9%
C	7	11.3%
E	7	11.3%
W	4	6.5%
V	4	6.5%
L	4	6.5%
G	3	4.8%
N	2	3.2%
Other values (5)	5	8.1%

Decimal Number

Value	Count	Frequency (%)
1	62	27.9%
2	36	16.2%
5	23	10.4%
0	19	8.6%
3	17	7.7%
6	16	7.2%
4	16	7.2%
7	13	5.9%
9	12	5.4%
8	8	3.6%

Space Separator

Value	Count	Frequency (%)
	199	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	13	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	8	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	8	100.0%

Math Symbol

Value	Count	Frequency (%)
~	1	100.0%

Other Symbol

Value	Count	Frequency (%)
㈜	1	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	3423	86.9%
Common	452	11.5%
Latin	62	1.6%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
로	180	5.3%
교	113	3.3%
대	92	2.7%
동	88	2.6%
리	83	2.4%
거	74	2.2%
아	72	2.1%
사	67	2.0%
트	66	1.9%
차	64	1.9%
Other values (305)	2524	73.7%

Common

Value	Count	Frequency (%)
	199	44.0%
1	62	13.7%
2	36	8.0%
5	23	5.1%
0	19	4.2%
3	17	3.8%
6	16	3.5%
4	16	3.5%
-	13	2.9%
7	13	2.9%
Other values (6)	38	8.4%

Latin

Value	Count	Frequency (%)
S	9	14.5%
K	9	14.5%
I	8	12.9%
C	7	11.3%
E	7	11.3%
W	4	6.5%
V	4	6.5%
L	4	6.5%
G	3	4.8%
N	2	3.2%
Other values (5)	5	8.1%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	3422	86.9%
ASCII	514	13.1%
None	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	199	38.7%
1	62	12.1%
2	36	7.0%
5	23	4.5%
0	19	3.7%
3	17	3.3%
6	16	3.1%
4	16	3.1%
-	13	2.5%
7	13	2.5%
Other values (21)	100	19.5%

Hangul

Value	Count	Frequency (%)
로	180	5.3%
교	113	3.3%
대	92	2.7%
동	88	2.6%
리	83	2.4%
거	74	2.2%
아	72	2.1%
사	67	2.0%
트	66	1.9%
차	64	1.9%
Other values (304)	2523	73.7%

None

Value	Count	Frequency (%)
㈜	1	100.0%

sec_endpoint
Text

Distinct	588
Distinct (%)	90.2%
Missing	2
Missing (%)	0.3%
Memory size	5.2 KiB

Length

Max length	19
Median length	17
Mean length	6.2147239
Min length	2

Characters and Unicode

Total characters	4052
Distinct characters	377
Distinct categories	12 ?
Distinct scripts	3 ?
Distinct blocks	4 ?

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

Unique

Unique	541 ?
Unique (%)	83.0%

Sample

1st row	해수욕장
2nd row	송정터널
3rd row	수영세무서
4th row	중동지하차도
5th row	동일아파트 101동

Value	Count	Frequency (%)
입구	18	2.2%
경계	13	1.6%
아파트	12	1.5%
내	10	1.2%
앞	10	1.2%
수영	4	0.5%
수영구경계	4	0.5%
부산은행	4	0.5%
동래구경계	4	0.5%
기장군	4	0.5%
Other values (644)	732	89.8%

Most occurring characters

Value	Count	Frequency (%)
	224	5.5%
로	122	3.0%
교	105	2.6%
동	96	2.4%
구	91	2.2%
아	89	2.2%
트	87	2.1%
파	83	2.0%
대	75	1.9%
경	61	1.5%
Other values (367)	3019	74.5%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	3488	86.1%
Decimal Number	228	5.6%
Space Separator	224	5.5%
Uppercase Letter	67	1.7%
Dash Punctuation	14	0.3%
Close Punctuation	10	0.2%
Open Punctuation	10	0.2%
Other Punctuation	5	0.1%
Math Symbol	2	< 0.1%
Lowercase Letter	2	< 0.1%
Other values (2)	2	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
로	122	3.5%
교	105	3.0%
동	96	2.8%
구	91	2.6%
아	89	2.6%
트	87	2.5%
파	83	2.4%
대	75	2.2%
경	61	1.7%
리	59	1.7%
Other values (333)	2620	75.1%

Uppercase Letter

Value	Count	Frequency (%)
I	12	17.9%
C	10	14.9%
S	9	13.4%
E	6	9.0%
K	6	9.0%
L	5	7.5%
W	5	7.5%
V	4	6.0%
G	3	4.5%
H	3	4.5%
Other values (3)	4	6.0%

Decimal Number

Value	Count	Frequency (%)
1	57	25.0%
2	41	18.0%
3	26	11.4%
6	20	8.8%
5	19	8.3%
0	16	7.0%
4	15	6.6%
9	13	5.7%
7	11	4.8%
8	10	4.4%

Other Punctuation

Value	Count	Frequency (%)
,	4	80.0%
;	1	20.0%

Lowercase Letter

Value	Count	Frequency (%)
e	1	50.0%
g	1	50.0%

Space Separator

Value	Count	Frequency (%)
	224	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	14	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	10	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	10	100.0%

Math Symbol

Value	Count	Frequency (%)
~	2	100.0%

Other Symbol

Value	Count	Frequency (%)
㈜	1	100.0%

Letter Number

Value	Count	Frequency (%)
Ⅱ	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	3489	86.1%
Common	493	12.2%
Latin	70	1.7%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
로	122	3.5%
교	105	3.0%
동	96	2.8%
구	91	2.6%
아	89	2.6%
트	87	2.5%
파	83	2.4%
대	75	2.1%
경	61	1.7%
리	59	1.7%
Other values (334)	2621	75.1%

Common

Value	Count	Frequency (%)
	224	45.4%
1	57	11.6%
2	41	8.3%
3	26	5.3%
6	20	4.1%
5	19	3.9%
0	16	3.2%
4	15	3.0%
-	14	2.8%
9	13	2.6%
Other values (7)	48	9.7%

Latin

Value	Count	Frequency (%)
I	12	17.1%
C	10	14.3%
S	9	12.9%
E	6	8.6%
K	6	8.6%
L	5	7.1%
W	5	7.1%
V	4	5.7%
G	3	4.3%
H	3	4.3%
Other values (6)	7	10.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	3488	86.1%
ASCII	562	13.9%
None	1	< 0.1%
Number Forms	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	224	39.9%
1	57	10.1%
2	41	7.3%
3	26	4.6%
6	20	3.6%
5	19	3.4%
0	16	2.8%
4	15	2.7%
-	14	2.5%
9	13	2.3%
Other values (22)	117	20.8%

Hangul

Value	Count	Frequency (%)
로	122	3.5%
교	105	3.0%
동	96	2.8%
구	91	2.6%
아	89	2.6%
트	87	2.5%
파	83	2.4%
대	75	2.2%
경	61	1.7%
리	59	1.7%
Other values (333)	2620	75.1%

None

Value	Count	Frequency (%)
㈜	1	100.0%

Number Forms

Value	Count	Frequency (%)
Ⅱ	1	100.0%

plant_distance
Text

MISSING

Distinct	342
Distinct (%)	64.0%
Missing	120
Missing (%)	18.3%
Memory size	5.2 KiB

Length

Max length	6
Median length	3
Mean length	3.5543071
Min length	1

Characters and Unicode

Total characters	1898
Distinct characters	13
Distinct categories	3 ?
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	250 ?
Unique (%)	46.8%

Sample

1st row	720
2nd row	5200
3rd row	6030
4th row	200
5th row	170

Value	Count	Frequency (%)
100	13	2.4%
200	13	2.4%
500	12	2.2%
300	9	1.7%
900	8	1.5%
800	7	1.3%
350	7	1.3%
700	7	1.3%
0.2	6	1.1%
250	6	1.1%
Other values (293)	446	83.5%

Most occurring characters

Value	Count	Frequency (%)
0	612	32.2%
1	198	10.4%
2	179	9.4%
5	132	7.0%
3	131	6.9%
4	110	5.8%
.	100	5.3%
6	99	5.2%
8	97	5.1%
	77	4.1%
Other values (3)	163	8.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1691	89.1%
Other Punctuation	130	6.8%
Space Separator	77	4.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	612	36.2%
1	198	11.7%
2	179	10.6%
5	132	7.8%
3	131	7.7%
4	110	6.5%
6	99	5.9%
8	97	5.7%
7	69	4.1%
9	64	3.8%

Other Punctuation

Value	Count	Frequency (%)
.	100	76.9%
,	30	23.1%

Space Separator

Value	Count	Frequency (%)
	77	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1898	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	612	32.2%
1	198	10.4%
2	179	9.4%
5	132	7.0%
3	131	6.9%
4	110	5.8%
.	100	5.3%
6	99	5.2%
8	97	5.1%
	77	4.1%
Other values (3)	163	8.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1898	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	612	32.2%
1	198	10.4%
2	179	9.4%
5	132	7.0%
3	131	6.9%
4	110	5.8%
.	100	5.3%
6	99	5.2%
8	97	5.1%
	77	4.1%
Other values (3)	163	8.6%

total
Real number (ℝ)

Distinct	339
Distinct (%)	51.9%
Missing	1
Missing (%)	0.2%
Infinite	0
Infinite (%)	0.0%
Mean	252.88515

Minimum	2
Maximum	8659
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.9 KiB

Quantile statistics

Minimum	2
5-th percentile	13
Q1	41
median	103
Q3	252
95-th percentile	976.6
Maximum	8659
Range	8657
Interquartile range (IQR)	211

Descriptive statistics

Standard deviation	517.83067
Coefficient of variation (CV)	2.0476911
Kurtosis	113.24475
Mean	252.88515
Median Absolute Deviation (MAD)	79
Skewness	8.4259201
Sum	165134
Variance	268148.6
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20	11	1.7%
34	9	1.4%
13	8	1.2%
48	8	1.2%
25	8	1.2%
14	8	1.2%
62	6	0.9%
18	6	0.9%
16	6	0.9%
63	6	0.9%
Other values (329)	577	88.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	2	0.3%
3	1	0.2%
4	3	0.5%
5	2	0.3%
6	2	0.3%
7	2	0.3%
8	4	0.6%
9	3	0.5%
10	4	0.6%
11	4	0.6%

Value	Count	Frequency (%)
8659	1	0.2%
3797	1	0.2%
2984	1	0.2%
2718	1	0.2%
2660	1	0.2%
2407	1	0.2%
2363	1	0.2%
2241	1	0.2%
2205	1	0.2%
1991	1	0.2%

prunus_yedoensis
Text

MISSING

Distinct	175
Distinct (%)	62.1%
Missing	372
Missing (%)	56.9%
Memory size	5.2 KiB

Length

Max length	4
Median length	3
Mean length	2.2695035
Min length	1

Characters and Unicode

Total characters	640
Distinct characters	11
Distinct categories	2 ?
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	123 ?
Unique (%)	43.6%

Sample

1st row	766
2nd row	17
3rd row	64
4th row	384
5th row	105

Value	Count	Frequency (%)
0	32	11.4%
13	6	2.1%
28	5	1.8%
25	4	1.4%
17	4	1.4%
20	4	1.4%
45	4	1.4%
16	3	1.1%
46	3	1.1%
62	3	1.1%
Other values (159)	213	75.8%

Most occurring characters

Value	Count	Frequency (%)
1	120	18.8%
2	87	13.6%
0	69	10.8%
4	65	10.2%
3	60	9.4%
5	53	8.3%
6	51	8.0%
8	48	7.5%
7	39	6.1%
9	38	5.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	630	98.4%
Space Separator	10	1.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	120	19.0%
2	87	13.8%
0	69	11.0%
4	65	10.3%
3	60	9.5%
5	53	8.4%
6	51	8.1%
8	48	7.6%
7	39	6.2%
9	38	6.0%

Space Separator

Value	Count	Frequency (%)
	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	640	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	120	18.8%
2	87	13.6%
0	69	10.8%
4	65	10.2%
3	60	9.4%
5	53	8.3%
6	51	8.0%
8	48	7.5%
7	39	6.1%
9	38	5.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	640	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	120	18.8%
2	87	13.6%
0	69	10.8%
4	65	10.2%
3	60	9.4%
5	53	8.3%
6	51	8.0%
8	48	7.5%
7	39	6.1%
9	38	5.9%

ginkgo
Text

MISSING

Distinct	173
Distinct (%)	58.6%
Missing	359
Missing (%)	54.9%
Memory size	5.2 KiB

Length

Max length	4
Median length	3
Mean length	2.159322
Min length	1

Characters and Unicode

Total characters	637
Distinct characters	11
Distinct categories	2 ?
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	122 ?
Unique (%)	41.4%

Sample

1st row	23
2nd row	0
3rd row	168
4th row	0
5th row	119

Value	Count	Frequency (%)
0	50	17.0%
41	7	2.4%
14	6	2.0%
66	6	2.0%
21	5	1.7%
2	4	1.4%
20	3	1.0%
44	3	1.0%
12	3	1.0%
23	3	1.0%
Other values (148)	204	69.4%

Most occurring characters

Value	Count	Frequency (%)
1	105	16.5%
0	89	14.0%
2	81	12.7%
4	67	10.5%
3	64	10.0%
9	48	7.5%
6	47	7.4%
8	45	7.1%
5	38	6.0%
7	33	5.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	617	96.9%
Space Separator	20	3.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	105	17.0%
0	89	14.4%
2	81	13.1%
4	67	10.9%
3	64	10.4%
9	48	7.8%
6	47	7.6%
8	45	7.3%
5	38	6.2%
7	33	5.3%

Space Separator

Value	Count	Frequency (%)
	20	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	637	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	105	16.5%
0	89	14.0%
2	81	12.7%
4	67	10.5%
3	64	10.0%
9	48	7.5%
6	47	7.4%
8	45	7.1%
5	38	6.0%
7	33	5.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	637	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	105	16.5%
0	89	14.0%
2	81	12.7%
4	67	10.5%
3	64	10.0%
9	48	7.5%
6	47	7.4%
8	45	7.1%
5	38	6.0%
7	33	5.2%

sawleaf_zelkova
Text

MISSING

Distinct	121
Distinct (%)	56.5%
Missing	440
Missing (%)	67.3%
Memory size	5.2 KiB

Length

Max length	4
Median length	3
Mean length	2.0747664
Min length	1

Characters and Unicode

Total characters	444
Distinct characters	11
Distinct categories	2 ?
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	80 ?
Unique (%)	37.4%

Sample

1st row	539
2nd row	13
3rd row	18
4th row	333
5th row	461

Value	Count	Frequency (%)
0	35	16.4%
13	6	2.8%
16	5	2.3%
1	5	2.3%
17	4	1.9%
20	4	1.9%
27	4	1.9%
6	4	1.9%
31	3	1.4%
29	3	1.4%
Other values (104)	140	65.7%

Most occurring characters

Value	Count	Frequency (%)
1	79	17.8%
0	68	15.3%
2	53	11.9%
3	50	11.3%
5	38	8.6%
7	33	7.4%
4	33	7.4%
6	30	6.8%
8	23	5.2%
9	22	5.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	429	96.6%
Space Separator	15	3.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	79	18.4%
0	68	15.9%
2	53	12.4%
3	50	11.7%
5	38	8.9%
7	33	7.7%
4	33	7.7%
6	30	7.0%
8	23	5.4%
9	22	5.1%

Space Separator

Value	Count	Frequency (%)
	15	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	444	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	79	17.8%
0	68	15.3%
2	53	11.9%
3	50	11.3%
5	38	8.6%
7	33	7.4%
4	33	7.4%
6	30	6.8%
8	23	5.2%
9	22	5.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	444	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	79	17.8%
0	68	15.3%
2	53	11.9%
3	50	11.3%
5	38	8.6%
7	33	7.4%
4	33	7.4%
6	30	6.8%
8	23	5.2%
9	22	5.0%

platanus_orientalis
Categorical

IMBALANCE

Distinct	19
Distinct (%)	2.9%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

<NA>	577
0	59
99	2
3	1
70	1
Other values (14)	14

Length

Max length	4
Median length	4
Mean length	3.67737
Min length	1

Unique

Unique	16 ?
Unique (%)	2.4%

Sample

1st row	<NA>
2nd row	<NA>
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	577	88.2%
0	59	9.0%
99	2	0.3%
3	1	0.2%
70	1	0.2%
66	1	0.2%
122	1	0.2%
464	1	0.2%
112	1	0.2%
130	1	0.2%
Other values (9)	9	1.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
na	577	88.4%
0	59	9.0%
99	2	0.3%
8	1	0.2%
211	1	0.2%
54	1	0.2%
35	1	0.2%
44	1	0.2%
53	1	0.2%
30	1	0.2%
Other values (8)	8	1.2%

platanus
Categorical

IMBALANCE

Distinct	35
Distinct (%)	5.4%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

<NA>	561
0	56
1	2
3	2
27	2
Other values (30)	31

Length

Max length	4
Median length	4
Mean length	3.6299694
Min length	1

Unique

Unique	29 ?
Unique (%)	4.4%

Sample

1st row	<NA>
2nd row	<NA>
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	561	85.8%
0	56	8.6%
1	2	0.3%
3	2	0.3%
27	2	0.3%
7	2	0.3%
2	1	0.2%
11	1	0.2%
	1	0.2%
21	1	0.2%
Other values (25)	25	3.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
na	561	85.9%
0	56	8.6%
1	2	0.3%
3	2	0.3%
27	2	0.3%
7	2	0.3%
179	1	0.2%
49	1	0.2%
25	1	0.2%
3040	1	0.2%
Other values (24)	24	3.7%

chinese_fringe_tree
Real number (ℝ)

MISSING ZEROS

Distinct	79
Distinct (%)	50.6%
Missing	498
Missing (%)	76.1%
Infinite	0
Infinite (%)	0.0%
Mean	90.320513

Minimum	0
Maximum	1686
Zeros	49
Zeros (%)	7.5%
Negative	0
Negative (%)	0.0%
Memory size	5.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	21
Q3	84.5
95-th percentile	460.75
Maximum	1686
Range	1686
Interquartile range (IQR)	84.5

Descriptive statistics

Standard deviation	199.87089
Coefficient of variation (CV)	2.212907
Kurtosis	30.449419
Mean	90.320513
Median Absolute Deviation (MAD)	21
Skewness	4.8580273
Sum	14090
Variance	39948.374
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	49	7.5%
17	4	0.6%
8	4	0.6%
34	3	0.5%
20	3	0.5%
48	3	0.5%
513	2	0.3%
96	2	0.3%
18	2	0.3%
50	2	0.3%
Other values (69)	82	12.5%
(Missing)	498	76.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	49	7.5%
1	2	0.3%
4	1	0.2%
5	2	0.3%
6	1	0.2%
8	4	0.6%
9	2	0.3%
10	1	0.2%
11	1	0.2%
12	1	0.2%

Value	Count	Frequency (%)
1686	1	0.2%
1086	1	0.2%
771	1	0.2%
680	1	0.2%
574	1	0.2%
513	2	0.3%
481	1	0.2%
454	1	0.2%
329	1	0.2%
280	1	0.2%

sophora_japonica
Categorical

IMBALANCE

Distinct	21
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

<NA>	583
0	51
7	2
466	1
47	1
Other values (16)	16

Length

Max length	4
Median length	4
Mean length	3.7110092
Min length	1

Unique

Unique	18 ?
Unique (%)	2.8%

Sample

1st row	<NA>
2nd row	<NA>
3rd row	466
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	583	89.1%
0	51	7.8%
7	2	0.3%
466	1	0.2%
47	1	0.2%
116	1	0.2%
66	1	0.2%
	1	0.2%
14	1	0.2%
32	1	0.2%
Other values (11)	11	1.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
na	583	89.3%
0	51	7.8%
7	2	0.3%
19	1	0.2%
325	1	0.2%
25	1	0.2%
9	1	0.2%
566	1	0.2%
923	1	0.2%
1149	1	0.2%
Other values (10)	10	1.5%

metasequoia
Categorical

IMBALANCE

Distinct	27
Distinct (%)	4.1%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

<NA>	573
0	55
45	2
398	1
163	1
Other values (22)	22

Length

Max length	4
Median length	4
Mean length	3.6850153
Min length	1

Unique

Unique	24 ?
Unique (%)	3.7%

Sample

1st row	<NA>
2nd row	<NA>
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	573	87.6%
0	55	8.4%
45	2	0.3%
398	1	0.2%
163	1	0.2%
416	1	0.2%
275	1	0.2%
13	1	0.2%
56	1	0.2%
7	1	0.2%
Other values (17)	17	2.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
na	573	87.7%
0	55	8.4%
45	2	0.3%
16	1	0.2%
129	1	0.2%
134	1	0.2%
184	1	0.2%
40	1	0.2%
188	1	0.2%
33	1	0.2%
Other values (16)	16	2.5%

horse_chestnut
Categorical

IMBALANCE

Distinct	17
Distinct (%)	2.6%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

<NA>	583
0	56
183	1
103	1
337	1
Other values (12)	12

Length

Max length	4
Median length	4
Mean length	3.7018349
Min length	1

Unique

Unique	15 ?
Unique (%)	2.3%

Sample

1st row	<NA>
2nd row	<NA>
3rd row	26
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	583	89.1%
0	56	8.6%
183	1	0.2%
103	1	0.2%
337	1	0.2%
38	1	0.2%
276	1	0.2%
	1	0.2%
26	1	0.2%
194	1	0.2%
Other values (7)	7	1.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
na	583	89.3%
0	56	8.6%
183	1	0.2%
103	1	0.2%
337	1	0.2%
38	1	0.2%
276	1	0.2%
26	1	0.2%
194	1	0.2%
3	1	0.2%
Other values (6)	6	0.9%

acer_buergerianum
Categorical

IMBALANCE

Distinct	7
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

<NA>	592
0	57
25	1
35	1
	1
Other values (2)	2

Length

Max length	4
Median length	4
Mean length	3.7262997
Min length	1

Unique

Unique	5 ?
Unique (%)	0.8%

Sample

1st row	<NA>
2nd row	<NA>
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	592	90.5%
0	57	8.7%
25	1	0.2%
35	1	0.2%
	1	0.2%
112	1	0.2%
2060	1	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	592	90.7%
0	57	8.7%
25	1	0.2%
35	1	0.2%
112	1	0.2%
2060	1	0.2%

celtis_sinensis
Categorical

IMBALANCE

Distinct	11
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

<NA>	588
0	57
24	1
3	1
28	1
Other values (6)	6

Length

Max length	4
Median length	4
Mean length	3.7125382
Min length	1

Unique

Unique	9 ?
Unique (%)	1.4%

Sample

1st row	<NA>
2nd row	<NA>
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	588	89.9%
0	57	8.7%
24	1	0.2%
3	1	0.2%
28	1	0.2%
	1	0.2%
47	1	0.2%
79	1	0.2%
288	1	0.2%
1061	1	0.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
na	588	90.0%
0	57	8.7%
24	1	0.2%
3	1	0.2%
28	1	0.2%
47	1	0.2%
79	1	0.2%
288	1	0.2%
1061	1	0.2%
48	1	0.2%

tulipifera
Categorical

IMBALANCE

Distinct	21
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

<NA>	577
0	58
98	1
12	1
3	1
Other values (16)	16

Length

Max length	4
Median length	4
Mean length	3.6743119
Min length	1

Unique

Unique	19 ?
Unique (%)	2.9%

Sample

1st row	<NA>
2nd row	<NA>
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	577	88.2%
0	58	8.9%
98	1	0.2%
12	1	0.2%
3	1	0.2%
51	1	0.2%
92	1	0.2%
36	1	0.2%
45	1	0.2%
167	1	0.2%
Other values (11)	11	1.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
na	577	88.4%
0	58	8.9%
13	1	0.2%
47	1	0.2%
28	1	0.2%
1	1	0.2%
10	1	0.2%
8	1	0.2%
40	1	0.2%
141	1	0.2%
Other values (10)	10	1.5%

acer_palmatum
Categorical

IMBALANCE

Distinct	9
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

<NA>	588
0	59
28	1
181	1
28	1
Other values (4)	4

Length

Max length	4
Median length	4
Mean length	3.7110092
Min length	1

Unique

Unique	7 ?
Unique (%)	1.1%

Sample

1st row	<NA>
2nd row	<NA>
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	588	89.9%
0	59	9.0%
28	1	0.2%
181	1	0.2%
28	1	0.2%
48	1	0.2%
63	1	0.2%
	1	0.2%
15	1	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	588	90.0%
0	59	9.0%
28	2	0.3%
181	1	0.2%
48	1	0.2%
63	1	0.2%
15	1	0.2%

firmiana_simplex
Categorical

IMBALANCE

Distinct	7
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

<NA>	590
0	59
1	1
117	1
3	1
Other values (2)	2

Length

Max length	4
Median length	4
Mean length	3.7094801
Min length	1

Unique

Unique	5 ?
Unique (%)	0.8%

Sample

1st row	<NA>
2nd row	<NA>
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	590	90.2%
0	59	9.0%
1	1	0.2%
117	1	0.2%
3	1	0.2%
5	1	0.2%
	1	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	590	90.4%
0	59	9.0%
1	1	0.2%
117	1	0.2%
3	1	0.2%
5	1	0.2%

pin_oak
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	654
Missing (%)	100.0%
Memory size	5.9 KiB

persimmon
Categorical

IMBALANCE

Distinct	4
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

<NA>	593
0	59
14	1
	1

Length

Max length	4
Median length	4
Mean length	3.7217125
Min length	1

Unique

Unique	2 ?
Unique (%)	0.3%

Sample

1st row	<NA>
2nd row	<NA>
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	593	90.7%
0	59	9.0%
14	1	0.2%
	1	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	593	90.8%
0	59	9.0%
14	1	0.2%

cornus_kousa
Categorical

IMBALANCE

Distinct	6
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

<NA>	593
0	57
	1
85	1
44	1

Length

Max length	4
Median length	4
Mean length	3.7247706
Min length	1

Unique

Unique	4 ?
Unique (%)	0.6%

Sample

1st row	<NA>
2nd row	<NA>
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	593	90.7%
0	57	8.7%
	1	0.2%
85	1	0.2%
44	1	0.2%
51	1	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	593	90.8%
0	57	8.7%
85	1	0.2%
44	1	0.2%
51	1	0.2%

chinese_quince
Categorical

IMBALANCE

Distinct	4
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

<NA>	593
0	59
27	1
	1

Length

Max length	4
Median length	4
Mean length	3.7217125
Min length	1

Unique

Unique	2 ?
Unique (%)	0.3%

Sample

1st row	<NA>
2nd row	<NA>
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	593	90.7%
0	59	9.0%
27	1	0.2%
	1	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	593	90.8%
0	59	9.0%
27	1	0.2%

goldenrain_tree
Categorical

IMBALANCE

Distinct	5
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

<NA>	592
0	59
	1
30	1
9	1

Length

Max length	4
Median length	4
Mean length	3.7171254
Min length	1

Unique

Unique	3 ?
Unique (%)	0.5%

Sample

1st row	<NA>
2nd row	<NA>
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	592	90.5%
0	59	9.0%
	1	0.2%
30	1	0.2%
9	1	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	592	90.7%
0	59	9.0%
30	1	0.2%
9	1	0.2%

cinnamon_tree
Categorical

IMBALANCE

Distinct	4
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

<NA>	593
0	59
14	1
	1

Length

Max length	4
Median length	4
Mean length	3.7217125
Min length	1

Unique

Unique	2 ?
Unique (%)	0.3%

Sample

1st row	<NA>
2nd row	14
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	593	90.7%
0	59	9.0%
14	1	0.2%
	1	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	593	90.8%
0	59	9.0%
14	1	0.2%

ailanthus_altissima
Categorical

IMBALANCE

Distinct	4
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

<NA>	593
0	59
8	1
	1

Length

Max length	4
Median length	4
Mean length	3.7217125
Min length	1

Unique

Unique	2 ?
Unique (%)	0.3%

Sample

1st row	<NA>
2nd row	<NA>
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	593	90.7%
0	59	9.0%
8	1	0.2%
	1	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	593	90.8%
0	59	9.0%
8	1	0.2%

amur_cork_tree
Categorical

IMBALANCE

Distinct	4
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

<NA>	593
0	59
	1
7	1

Length

Max length	4
Median length	4
Mean length	3.7201835
Min length	1

Unique

Unique	2 ?
Unique (%)	0.3%

Sample

1st row	<NA>
2nd row	<NA>
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	593	90.7%
0	59	9.0%
	1	0.2%
7	1	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	593	90.8%
0	59	9.0%
7	1	0.2%

babylon_willow
Categorical

IMBALANCE

Distinct	3
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

<NA>	594
0	59
	1

Length

Max length	4
Median length	4
Mean length	3.7247706
Min length	1

Unique

Unique	1 ?
Unique (%)	0.2%

Sample

1st row	<NA>
2nd row	<NA>
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	594	90.8%
0	59	9.0%
	1	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	594	91.0%
0	59	9.0%

three_flowered_maple
Categorical

IMBALANCE

Distinct	4
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

<NA>	593
0	59
4	1
	1

Length

Max length	4
Median length	4
Mean length	3.7201835
Min length	1

Unique

Unique	2 ?
Unique (%)	0.3%

Sample

1st row	<NA>
2nd row	<NA>
3rd row	4
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	593	90.7%
0	59	9.0%
4	1	0.2%
	1	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	593	90.8%
0	59	9.0%
4	1	0.2%

japanese_elm
Categorical

IMBALANCE

Distinct	3
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

<NA>	594
0	59
	1

Length

Max length	4
Median length	4
Mean length	3.7247706
Min length	1

Unique

Unique	1 ?
Unique (%)	0.2%

Sample

1st row	<NA>
2nd row	<NA>
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	594	90.8%
0	59	9.0%
	1	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	594	91.0%
0	59	9.0%

jujube
Categorical

IMBALANCE

Distinct	4
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

<NA>	593
0	59
2	1
	1

Length

Max length	4
Median length	4
Mean length	3.7201835
Min length	1

Unique

Unique	2 ?
Unique (%)	0.3%

Sample

1st row	<NA>
2nd row	<NA>
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	593	90.7%
0	59	9.0%
2	1	0.2%
	1	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	593	90.8%
0	59	9.0%
2	1	0.2%

silver_magnolia
Text

MISSING

Distinct	51
Distinct (%)	41.5%
Missing	531
Missing (%)	81.2%
Memory size	5.2 KiB

Length

Max length	4
Median length	1
Mean length	1.5284553
Min length	1

Characters and Unicode

Total characters	188
Distinct characters	11
Distinct categories	2 ?
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	38 ?
Unique (%)	30.9%

Sample

1st row	58
2nd row	7
3rd row	3
4th row	0
5th row	0

Value	Count	Frequency (%)
0	57	46.7%
13	3	2.5%
14	3	2.5%
61	3	2.5%
3	3	2.5%
25	2	1.6%
12	2	1.6%
4	2	1.6%
2	2	1.6%
60	2	1.6%
Other values (39)	43	35.2%

Most occurring characters

Value	Count	Frequency (%)
0	65	34.6%
1	25	13.3%
2	16	8.5%
5	15	8.0%
3	14	7.4%
8	13	6.9%
4	12	6.4%
6	11	5.9%
7	8	4.3%
9	6	3.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	185	98.4%
Space Separator	3	1.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	65	35.1%
1	25	13.5%
2	16	8.6%
5	15	8.1%
3	14	7.6%
8	13	7.0%
4	12	6.5%
6	11	5.9%
7	8	4.3%
9	6	3.2%

Space Separator

Value	Count	Frequency (%)
	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	188	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	65	34.6%
1	25	13.3%
2	16	8.5%
5	15	8.0%
3	14	7.4%
8	13	6.9%
4	12	6.4%
6	11	5.9%
7	8	4.3%
9	6	3.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	188	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	65	34.6%
1	25	13.3%
2	16	8.5%
5	15	8.0%
3	14	7.4%
8	13	6.9%
4	12	6.4%
6	11	5.9%
7	8	4.3%
9	6	3.2%

kurogane_holly
Text

MISSING

Distinct	60
Distinct (%)	46.5%
Missing	525
Missing (%)	80.3%
Memory size	5.2 KiB

Length

Max length	3
Median length	1
Mean length	1.6511628
Min length	1

Characters and Unicode

Total characters	213
Distinct characters	11
Distinct categories	2 ?
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	48 ?
Unique (%)	37.2%

Sample

1st row	19
2nd row	294
3rd row	0
4th row	0
5th row	198

Value	Count	Frequency (%)
0	54	42.2%
2	5	3.9%
1	3	2.3%
26	3	2.3%
13	3	2.3%
31	2	1.6%
6	2	1.6%
14	2	1.6%
3	2	1.6%
11	2	1.6%
Other values (47)	50	39.1%

Most occurring characters

Value	Count	Frequency (%)
0	61	28.6%
1	35	16.4%
2	26	12.2%
3	21	9.9%
6	17	8.0%
7	12	5.6%
5	11	5.2%
8	10	4.7%
	7	3.3%
9	7	3.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	206	96.7%
Space Separator	7	3.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	61	29.6%
1	35	17.0%
2	26	12.6%
3	21	10.2%
6	17	8.3%
7	12	5.8%
5	11	5.3%
8	10	4.9%
9	7	3.4%
4	6	2.9%

Space Separator

Value	Count	Frequency (%)
	7	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	213	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	61	28.6%
1	35	16.4%
2	26	12.2%
3	21	9.9%
6	17	8.0%
7	12	5.6%
5	11	5.2%
8	10	4.7%
	7	3.3%
9	7	3.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	213	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	61	28.6%
1	35	16.4%
2	26	12.2%
3	21	9.9%
6	17	8.0%
7	12	5.6%
5	11	5.2%
8	10	4.7%
	7	3.3%
9	7	3.3%

pinus_thunbergii
Categorical

IMBALANCE

Distinct	27
Distinct (%)	4.1%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

<NA>	569
0	58
7	2
21	2
126	1
Other values (22)	22

Length

Max length	4
Median length	4
Mean length	3.6559633
Min length	1

Unique

Unique	23 ?
Unique (%)	3.5%

Sample

1st row	24
2nd row	<NA>
3rd row	<NA>
4th row	29
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	569	87.0%
0	58	8.9%
7	2	0.3%
21	2	0.3%
126	1	0.2%
29	1	0.2%
51	1	0.2%
67	1	0.2%
457	1	0.2%
42	1	0.2%
Other values (17)	17	2.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
na	569	87.1%
0	58	8.9%
7	2	0.3%
21	2	0.3%
73	1	0.2%
24	1	0.2%
740	1	0.2%
49	1	0.2%
15	1	0.2%
95	1	0.2%
Other values (16)	16	2.5%

myrsinaleaf_oak
Categorical

IMBALANCE

Distinct	27
Distinct (%)	4.1%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

<NA>	569
0	57
260	2
12	2
9	2
Other values (22)	22

Length

Max length	4
Median length	4
Mean length	3.6651376
Min length	1

Unique

Unique	22 ?
Unique (%)	3.4%

Sample

1st row	<NA>
2nd row	<NA>
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	569	87.0%
0	57	8.7%
260	2	0.3%
12	2	0.3%
9	2	0.3%
11	1	0.2%
27	1	0.2%
27	1	0.2%
21	1	0.2%
143	1	0.2%
Other values (17)	17	2.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
na	569	87.1%
0	57	8.7%
260	2	0.3%
12	2	0.3%
9	2	0.3%
27	2	0.3%
512	1	0.2%
1	1	0.2%
42	1	0.2%
8	1	0.2%
Other values (15)	15	2.3%

castanopsis_sieboldii
Categorical

IMBALANCE

Distinct	12
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

<NA>	585
0	59
14	1
	1
29	1
Other values (7)	7

Length

Max length	4
Median length	4
Mean length	3.6941896
Min length	1

Unique

Unique	10 ?
Unique (%)	1.5%

Sample

1st row	<NA>
2nd row	<NA>
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	585	89.4%
0	59	9.0%
14	1	0.2%
	1	0.2%
29	1	0.2%
15	1	0.2%
38	1	0.2%
50	1	0.2%
5	1	0.2%
10	1	0.2%
Other values (2)	2	0.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
na	585	89.6%
0	59	9.0%
14	1	0.2%
29	1	0.2%
15	1	0.2%
38	1	0.2%
50	1	0.2%
5	1	0.2%
10	1	0.2%
2	1	0.2%

cedrus_deodara
Categorical

IMBALANCE

Distinct	12
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

<NA>	584
0	56
1	4
1	2
4	1
Other values (7)	7

Length

Max length	4
Median length	4
Mean length	3.6911315
Min length	1

Unique

Unique	8 ?
Unique (%)	1.2%

Sample

1st row	<NA>
2nd row	<NA>
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	584	89.3%
0	56	8.6%
1	4	0.6%
1	2	0.3%
4	1	0.2%
10	1	0.2%
	1	0.2%
7	1	0.2%
16	1	0.2%
237	1	0.2%
Other values (2)	2	0.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
na	584	89.4%
0	56	8.6%
1	6	0.9%
4	1	0.2%
10	1	0.2%
7	1	0.2%
16	1	0.2%
237	1	0.2%
3	1	0.2%
21	1	0.2%

camphor_tree
Categorical

IMBALANCE

Distinct	8
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

<NA>	588
0	59
8	2
26	1
15	1
Other values (3)	3

Length

Max length	4
Median length	4
Mean length	3.7033639
Min length	1

Unique

Unique	5 ?
Unique (%)	0.8%

Sample

1st row	<NA>
2nd row	<NA>
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	588	89.9%
0	59	9.0%
8	2	0.3%
26	1	0.2%
15	1	0.2%
	1	0.2%
33	1	0.2%
48	1	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	588	90.0%
0	59	9.0%
8	2	0.3%
26	1	0.2%
15	1	0.2%
33	1	0.2%
48	1	0.2%

torulosa
Categorical

IMBALANCE

Distinct	7
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

<NA>	591
0	58
6	1
10	1
	1
Other values (2)	2

Length

Max length	4
Median length	4
Mean length	3.7186544
Min length	1

Unique

Unique	5 ?
Unique (%)	0.8%

Sample

1st row	<NA>
2nd row	<NA>
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	591	90.4%
0	58	8.9%
6	1	0.2%
10	1	0.2%
	1	0.2%
5	1	0.2%
110	1	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	591	90.5%
0	58	8.9%
6	1	0.2%
10	1	0.2%
5	1	0.2%
110	1	0.2%

neolitsea_sericea
Categorical

IMBALANCE

Distinct	5
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

<NA>	592
0	59
	1
8	1
5	1

Length

Max length	4
Median length	4
Mean length	3.7155963
Min length	1

Unique

Unique	3 ?
Unique (%)	0.5%

Sample

1st row	<NA>
2nd row	<NA>
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	592	90.5%
0	59	9.0%
	1	0.2%
8	1	0.2%
5	1	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	592	90.7%
0	59	9.0%
8	1	0.2%
5	1	0.2%

taxus_cuspidata
Categorical

IMBALANCE

Distinct	4
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

<NA>	593
0	59
	1
3	1

Length

Max length	4
Median length	4
Mean length	3.7201835
Min length	1

Unique

Unique	2 ?
Unique (%)	0.3%

Sample

1st row	<NA>
2nd row	<NA>
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	593	90.7%
0	59	9.0%
	1	0.2%
3	1	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	593	90.8%
0	59	9.0%
3	1	0.2%

sweet_viburnum
Categorical

IMBALANCE

Distinct	3
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

<NA>	594
0	59
	1

Length

Max length	4
Median length	4
Mean length	3.7247706
Min length	1

Unique

Unique	1 ?
Unique (%)	0.2%

Sample

1st row	<NA>
2nd row	<NA>
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	594	90.8%
0	59	9.0%
	1	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	594	91.0%
0	59	9.0%

etc_tree
Categorical

IMBALANCE

Distinct	4
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

<NA>	593
0	59
	1
67	1

Length

Max length	4
Median length	4
Mean length	3.7217125
Min length	1

Unique

Unique	2 ?
Unique (%)	0.3%

Sample

1st row	<NA>
2nd row	<NA>
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	593	90.7%
0	59	9.0%
	1	0.2%
67	1	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	593	90.8%
0	59	9.0%
67	1	0.2%

gugun
Categorical

Distinct	17
Distinct (%)	2.6%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

부산광역시 해운대구	68
부산광역시 부산진구	63
부산광역시 기장군	60
부산광역시 강서구	59
부산광역시 사하구	49
Other values (12)	355

Length

Max length	10
Median length	9
Mean length	8.9770642
Min length	4

Unique

Unique	1 ?
Unique (%)	0.2%

Sample

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

Common Values

Value	Count	Frequency (%)
부산광역시 해운대구	68	10.4%
부산광역시 부산진구	63	9.6%
부산광역시 기장군	60	9.2%
부산광역시 강서구	59	9.0%
부산광역시 사하구	49	7.5%
부산광역시 동래구	48	7.3%
부산광역시 북구	48	7.3%
부산광역시 사상구	43	6.6%
부산광역시 금정구	34	5.2%
부산광역시 영도구	30	4.6%
Other values (7)	152	23.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
부산광역시	653	50.0%
해운대구	68	5.2%
부산진구	63	4.8%
기장군	60	4.6%
강서구	59	4.5%
사하구	49	3.7%
동래구	48	3.7%
북구	48	3.7%
사상구	43	3.3%
금정구	34	2.6%
Other values (8)	182	13.9%

reference_date
Categorical

IMBALANCE

Distinct	5
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

2020-07-31	493
2020-08-31	102
2020-08-26	29
2020-09-11	29
<NA>	1

Length

Max length	10
Median length	10
Mean length	9.9908257
Min length	4

Unique

Unique	1 ?
Unique (%)	0.2%

Sample

1st row	2020-08-31
2nd row	2020-08-31
3rd row	2020-08-31
4th row	2020-08-31
5th row	2020-08-31

Common Values

Value	Count	Frequency (%)
2020-07-31	493	75.4%
2020-08-31	102	15.6%
2020-08-26	29	4.4%
2020-09-11	29	4.4%
<NA>	1	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2020-07-31	493	75.4%
2020-08-31	102	15.6%
2020-08-26	29	4.4%
2020-09-11	29	4.4%
na	1	0.2%

instt_code
Real number (ℝ)

Distinct	16
Distinct (%)	2.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3332171.3

Minimum	3250000
Maximum	3400000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.9 KiB

Quantile statistics

Minimum	3250000
5-th percentile	3260000
Q1	3300000
median	3330000
Q3	3360000
95-th percentile	3400000
Maximum	3400000
Range	150000
Interquartile range (IQR)	60000

Descriptive statistics

Standard deviation	42374.34
Coefficient of variation (CV)	0.012716735
Kurtosis	-1.0248628
Mean	3332171.3
Median Absolute Deviation (MAD)	30000
Skewness	-0.013489865
Sum	2.17924 × 10⁹
Variance	1.7955847 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
3330000	68	10.4%
3290000	63	9.6%
3400000	60	9.2%
3360000	59	9.0%
3340000	49	7.5%
3300000	48	7.3%
3320000	48	7.3%
3390000	43	6.6%
3350000	34	5.2%
3280000	31	4.7%
Other values (6)	151	23.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3250000	15	2.3%
3260000	20	3.1%
3270000	29	4.4%
3280000	31	4.7%
3290000	63	9.6%
3300000	48	7.3%
3310000	29	4.4%
3320000	48	7.3%
3330000	68	10.4%
3340000	49	7.5%

Value	Count	Frequency (%)
3400000	60	9.2%
3390000	43	6.6%
3380000	29	4.4%
3370000	29	4.4%
3360000	59	9.0%
3350000	34	5.2%
3340000	49	7.5%
3330000	68	10.4%
3320000	48	7.3%
3310000	29	4.4%

last_load_dttm
Categorical

CONSTANT

Distinct	1
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

2021-01-05 11:34:33	654

Length

Max length	19
Median length	19
Mean length	19
Min length	19

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2021-01-05 11:34:33
2nd row	2021-01-05 11:34:33
3rd row	2021-01-05 11:34:33
4th row	2021-01-05 11:34:33
5th row	2021-01-05 11:34:33

Common Values

Value	Count	Frequency (%)
2021-01-05 11:34:33	654	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2021-01-05	654	50.0%
11:34:33	654	50.0%

First rows
Last rows

	skey	loc_nm	lat	lng	sec_timepoint	sec_endpoint	plant_distance	total	prunus_yedoensis	ginkgo	sawleaf_zelkova	platanus_orientalis	platanus	chinese_fringe_tree	sophora_japonica	metasequoia	horse_chestnut	acer_buergerianum	celtis_sinensis	tulipifera	acer_palmatum	firmiana_simplex	pin_oak	persimmon	cornus_kousa	chinese_quince	goldenrain_tree	cinnamon_tree	ailanthus_altissima	amur_cork_tree	babylon_willow	three_flowered_maple	japanese_elm	jujube	silver_magnolia	kurogane_holly	pinus_thunbergii	myrsinaleaf_oak	castanopsis_sieboldii	cedrus_deodara	camphor_tree	torulosa	neolitsea_sericea	taxus_cuspidata	sweet_viburnum	etc_tree	gugun	reference_date	instt_code	last_load_dttm
0	4544	부산광역시 해운대구 동백로	35.191714	129.153866	운촌삼거리	해수욕장	720	101	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	58	19	24	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	부산광역시 해운대구	2020-08-31	3330000	2021-01-05 11:34:33
1	4545	부산광역시 해운대구 달맞이길	35.094076	129.101808	미포육거리	송정터널	5200	780	766	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	14	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	부산광역시 해운대구	2020-08-31	3330000	2021-01-05 11:34:33
2	4546	부산광역시 해운대구 좌동순환로	35.095758	129.100261	중동 E-마트	수영세무서	6030	1429	17	23	539	<NA>	<NA>	60	466	<NA>	26	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	4	<NA>	<NA>	<NA>	294	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	부산광역시 해운대구	2020-08-31	3330000	2021-01-05 11:34:33
3	4547	부산광역시 해운대구 좌동순환로 15번길	35.100486	129.095993	수영세무서	중동지하차도	200	42	<NA>	<NA>	13	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	29	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	부산광역시 해운대구	2020-08-31	3330000	2021-01-05 11:34:33
4	4548	부산광역시 해운대구 좌동순환로 468번길	35.095802	129.101827	동일아파트 앞 사거리	동일아파트 101동	170	18	<NA>	<NA>	18	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	부산광역시 해운대구	2020-08-31	3330000	2021-01-05 11:34:33
5	4549	부산광역시 해운대구 수영강변대로	35.100386	129.074375	수영1호교	반여농산물	6090	731	<NA>	<NA>	333	<NA>	<NA>	<NA>	<NA>	398	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	부산광역시 해운대구	2020-08-31	3330000	2021-01-05 11:34:33
6	4550	부산광역시 해운대구 해운대로(구.충렬로)	35.113734	129.065691	원동IC	올림픽교차로	3550	462	<NA>	<NA>	461	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	1	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	부산광역시 해운대구	2020-08-31	3330000	2021-01-05 11:34:33
7	4551	부산광역시 해운대구 센텀2로	35.100918	129.075708	센텀시티역	센텀뷰라움	360	64	64	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	부산광역시 해운대구	2020-08-31	3330000	2021-01-05 11:34:33
8	4552	부산광역시 해운대구 센텀3로	35.100856	129.074055	센텀역 교차로	트럼프월드센텀Ⅱ	360	71	<NA>	<NA>	71	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	부산광역시 해운대구	2020-08-31	3330000	2021-01-05 11:34:33
9	4553	부산광역시 해운대구 센텀4로	35.100237	129.105728	신세계백화점	홈플러스 센텀시티점	620	393	384	<NA>	9	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	부산광역시 해운대구	2020-08-31	3330000	2021-01-05 11:34:33

	skey	loc_nm	lat	lng	sec_timepoint	sec_endpoint	plant_distance	total	prunus_yedoensis	ginkgo	sawleaf_zelkova	platanus_orientalis	platanus	chinese_fringe_tree	sophora_japonica	metasequoia	horse_chestnut	acer_buergerianum	celtis_sinensis	tulipifera	acer_palmatum	firmiana_simplex	pin_oak	persimmon	cornus_kousa	chinese_quince	goldenrain_tree	cinnamon_tree	ailanthus_altissima	amur_cork_tree	babylon_willow	three_flowered_maple	japanese_elm	jujube	silver_magnolia	kurogane_holly	pinus_thunbergii	myrsinaleaf_oak	castanopsis_sieboldii	cedrus_deodara	camphor_tree	torulosa	neolitsea_sericea	taxus_cuspidata	sweet_viburnum	etc_tree	gugun	reference_date	instt_code	last_load_dttm
644	4645	부산광역시 부산진구 월드컵대로	35.182954	129.050462	연제구경계	시민도서관삼거리	440	89	<NA>	<NA>	89	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	부산광역시 부산진구	2020-07-31	3290000	2021-01-05 11:34:33
645	4691	부산광역시 사하구 하신중앙로	35.077313	128.963795	하단오거리	65호광장	3524	529	298	98	<NA>	55	<NA>	<NA>	7	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	54	<NA>	<NA>	17	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	부산광역시 사하구	2020-07-31	3340000	2021-01-05 11:34:33
646	4747	부산광역시 기장군 반룡로	35.351631	129.255467	기룡교차로	반룡교	<NA>	353	18	335	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	부산광역시 기장군	2020-07-31	3400000	2021-01-05 11:34:33
647	4748	부산광역시 기장군 기장대로	35.197558	129.205996	송정1호교	기장체육관	<NA>	1203	1129	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	74	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	부산광역시 기장군	2020-07-31	3400000	2021-01-05 11:34:33
648	4749	부산광역시 기장군 정관로	35.323242	129.196571	달음교입구	eg1차	<NA>	1086	<NA>	<NA>	<NA>	<NA>	<NA>	1086	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	부산광역시 기장군	2020-07-31	3400000	2021-01-05 11:34:33
649	4750	부산광역시 기장군 장곡길	35.310137	129.241097	좌천마을	문중마을	<NA>	206	206	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	부산광역시 기장군	2020-07-31	3400000	2021-01-05 11:34:33
650	4751	부산광역시 기장군 대변로	35.235843	129.217788	청강사거리	무양교차로	<NA>	213	213	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	부산광역시 기장군	2020-07-31	3400000	2021-01-05 11:34:33
651	4752	부산광역시 기장군 기장해안로	35.182464	129.208422	송정2호교	연화리	<NA>	1991	510	321	272	<NA>	<NA>	513	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	115	260	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	부산광역시 기장군	2020-07-31	3400000	2021-01-05 11:34:33
652	4753	부산광역시 기장군 철마로	35.283522	129.125725	신암마을	금정경계	<NA>	267	199	33	<NA>	<NA>	<NA>	<NA>	<NA>	35	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	부산광역시 기장군	2020-07-31	3400000	2021-01-05 11:34:33
653	4754	부산광역시 기장군 곰내길	35.294346	129.168449	웅천마을	정관곰내제	<NA>	510	510	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	부산광역시 기장군	2020-07-31	3400000	2021-01-05 11:34:33

Overview

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ASCII

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Most occurring characters

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Other Letter

Uppercase Letter

Decimal Number

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Math Symbol

Other Symbol

Other Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Hangul

None

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Decimal Number

Other Punctuation

Lowercase Letter

Space Separator

Dash Punctuation

Close Punctuation

Open Punctuation

Math Symbol

Other Symbol

Letter Number

Most occurring scripts

Most frequent character per script

Hangul

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Hangul

None

Number Forms

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Space Separator

Most occurring scripts