Overview

Dataset statistics

Number of variables	11
Number of observations	52100
Missing cells	100444
Missing cells (%)	17.5%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	25.2 MiB
Average record size in memory	508.1 B

Variable types

Numeric	1
DateTime	3
Categorical	7

Alerts

`indicado` is highly overall correlated with `utm_source`	High correlation
`motivoPerda` is highly overall correlated with `tipo`	High correlation
`tipo` is highly overall correlated with `motivoPerda` and 1 other fields	High correlation
`utm_source` is highly overall correlated with `indicado` and 1 other fields	High correlation
`utm_source` is highly imbalanced (57.8%)	Imbalance
`indicado` is highly imbalanced (74.4%)	Imbalance
`data_perda` has 3308 (6.3%) missing values	Missing
`data_venda` has 45891 (88.1%) missing values	Missing
`utm_source` has 3766 (7.2%) missing values	Missing
`sdr` has 26070 (50.0%) missing values	Missing
`closer` has 14812 (28.4%) missing values	Missing
`motivoPerda` has 6597 (12.7%) missing values	Missing
`id` is uniformly distributed	Uniform

Reproduction

Analysis started	2025-11-26 17:55:54.710158
Analysis finished	2025-11-26 17:56:02.540475
Duration	7.83 seconds
Software version	ydata-profiling vv4.18.0
Download configuration	config.json

id
Real number (ℝ)

Uniform

Distinct	52098
Distinct (%)	> 99.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	106263.11

Minimum	79195
Maximum	133333
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	407.2 KiB

Quantile statistics

Minimum	79195
5-th percentile	81890.95
Q1	92635.75
median	106267.5
Q3	119894.25
95-th percentile	130631.05
Maximum	133333
Range	54138
Interquartile range (IQR)	27258.5

Descriptive statistics

Standard deviation	15668.164
Coefficient of variation (CV)	0.14744688
Kurtosis	-1.2089851
Mean	106263.11
Median Absolute Deviation (MAD)	13629.5
Skewness	0.00037357976
Sum	5.5363079 × 10⁹
Variance	2.4549137 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
128971	2	< 0.1%
79806	2	< 0.1%
79342	1	< 0.1%
115302	1	< 0.1%
115340	1	< 0.1%
115338	1	< 0.1%
115337	1	< 0.1%
115330	1	< 0.1%
115326	1	< 0.1%
115322	1	< 0.1%
Other values (52088)	52088	> 99.9%

Value	Count	Frequency (%)
79195	1	< 0.1%
79196	1	< 0.1%
79197	1	< 0.1%
79198	1	< 0.1%
79199	1	< 0.1%
79200	1	< 0.1%
79201	1	< 0.1%
79202	1	< 0.1%
79203	1	< 0.1%
79204	1	< 0.1%

Value	Count	Frequency (%)
133333	1	< 0.1%
133332	1	< 0.1%
133331	1	< 0.1%
133330	1	< 0.1%
133329	1	< 0.1%
133328	1	< 0.1%
133327	1	< 0.1%
133326	1	< 0.1%
133325	1	< 0.1%
133324	1	< 0.1%

data_criacao
Date

Distinct	395
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	407.2 KiB

Minimum	2024-04-01 00:00:00
Maximum	2025-04-30 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

data_perda
Date

Missing

Distinct	565
Distinct (%)	1.2%
Missing	3308
Missing (%)	6.3%
Memory size	407.2 KiB

Minimum	2024-04-01 00:00:00
Maximum	2025-11-18 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

data_venda
Date

Missing

Distinct	492
Distinct (%)	7.9%
Missing	45891
Missing (%)	88.1%
Memory size	407.2 KiB

Minimum	2021-09-01 00:00:00
Maximum	2025-11-18 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

utm_source
Categorical

High correlation Imbalance Missing

Distinct	38
Distinct (%)	0.1%
Missing	3766
Missing (%)	7.2%
Memory size	3.0 MiB

google	19622
instagram	17538
Whatsapp Oficial	4535
Não informado	2066
typeform-BLIP	1187
Other values (33)	3386

Length

Max length	33
Median length	27
Mean length	9.2695618
Min length	4

Characters and Unicode

Total characters	448035
Distinct characters	51
Distinct categories	1 ?
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	11 ?
Unique (%)	< 0.1%

Sample

1st row	typeform-Gentileza
2nd row	instagram
3rd row	google
4th row	typeform-BLIP
5th row	typeform-Ex Membro

Common Values

Value	Count	Frequency (%)
google	19622	37.7%
instagram	17538	33.7%
Whatsapp Oficial	4535	8.7%
Não informado	2066	4.0%
typeform-BLIP	1187	2.3%
typeform-Ex Membro	594	1.1%
typeform-Indicação Interna	500	1.0%
typeform-Outros	446	0.9%
typeform-Gentileza	425	0.8%
indicacao-app	386	0.7%
Other values (28)	1035	2.0%
(Missing)	3766	7.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
google	19622	34.9%
instagram	17539	31.2%
whatsapp	4574	8.1%
oficial	4574	8.1%
não	2066	3.7%
informado	2066	3.7%
typeform-blip	1187	2.1%
typeform-ex	594	1.1%
membro	594	1.1%
typeform-indicação	500	0.9%
Other values (35)	2902	5.2%

Most occurring characters

Value	Count	Frequency (%)
g	57039	12.7%
a	54430	12.1%
o	51684	11.5%
i	31837	7.1%
t	27050	6.0%
e	25628	5.7%
l	25100	5.6%
r	25049	5.6%
m	23966	5.3%
s	23080	5.2%
Other values (41)	103172	23.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	448035	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
g	57039	12.7%
a	54430	12.1%
o	51684	11.5%
i	31837	7.1%
t	27050	6.0%
e	25628	5.7%
l	25100	5.6%
r	25049	5.6%
m	23966	5.3%
s	23080	5.2%
Other values (41)	103172	23.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	448035	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
g	57039	12.7%
a	54430	12.1%
o	51684	11.5%
i	31837	7.1%
t	27050	6.0%
e	25628	5.7%
l	25100	5.6%
r	25049	5.6%
m	23966	5.3%
s	23080	5.2%
Other values (41)	103172	23.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	448035	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
g	57039	12.7%
a	54430	12.1%
o	51684	11.5%
i	31837	7.1%
t	27050	6.0%
e	25628	5.7%
l	25100	5.6%
r	25049	5.6%
m	23966	5.3%
s	23080	5.2%
Other values (41)	103172	23.0%

sdr
Categorical

Missing

Distinct	33
Distinct (%)	0.1%
Missing	26070
Missing (%)	50.0%
Memory size	2.8 MiB

Ana	2158
Camila	2085
Ingrid	2074
Gabriel	1841
Eric	1821
Other values (28)	16051

Length

Max length	9
Median length	8
Mean length	5.9180177
Min length	3

Characters and Unicode

Total characters	154046
Distinct characters	35
Distinct categories	1 ?
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	2 ?
Unique (%)	< 0.1%

Sample

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

Common Values

Value	Count	Frequency (%)
Ana	2158	4.1%
Camila	2085	4.0%
Ingrid	2074	4.0%
Gabriel	1841	3.5%
Eric	1821	3.5%
Morggiany	1665	3.2%
Luan	1656	3.2%
Lucas	1510	2.9%
Emillyn	1308	2.5%
Bianca	1140	2.2%
Other values (23)	8772	16.8%
(Missing)	26070	50.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
ana	2158	8.3%
camila	2085	8.0%
ingrid	2074	8.0%
gabriel	1841	7.1%
eric	1821	7.0%
morggiany	1665	6.4%
luan	1656	6.4%
lucas	1510	5.8%
emillyn	1308	5.0%
bianca	1140	4.4%
Other values (23)	8772	33.7%

Most occurring characters

Value	Count	Frequency (%)
a	27258	17.7%
i	19217	12.5%
n	13051	8.5%
r	10732	7.0%
l	9854	6.4%
g	6690	4.3%
c	5581	3.6%
o	5515	3.6%
u	5079	3.3%
e	4884	3.2%
Other values (25)	46185	30.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	154046	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	27258	17.7%
i	19217	12.5%
n	13051	8.5%
r	10732	7.0%
l	9854	6.4%
g	6690	4.3%
c	5581	3.6%
o	5515	3.6%
u	5079	3.3%
e	4884	3.2%
Other values (25)	46185	30.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	154046	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	27258	17.7%
i	19217	12.5%
n	13051	8.5%
r	10732	7.0%
l	9854	6.4%
g	6690	4.3%
c	5581	3.6%
o	5515	3.6%
u	5079	3.3%
e	4884	3.2%
Other values (25)	46185	30.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	154046	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	27258	17.7%
i	19217	12.5%
n	13051	8.5%
r	10732	7.0%
l	9854	6.4%
g	6690	4.3%
c	5581	3.6%
o	5515	3.6%
u	5079	3.3%
e	4884	3.2%
Other values (25)	46185	30.0%

closer
Categorical

Missing

Distinct	49
Distinct (%)	0.1%
Missing	14812
Missing (%)	28.4%
Memory size	2.7 MiB

Lana	3387
Barbara	3240
Niq	3164
Gabriella	2503
Raquel	2466
Other values (44)	22528

Length

Max length	9
Median length	7
Mean length	5.9185797
Min length	3

Characters and Unicode

Total characters	220692
Distinct characters	43
Distinct categories	1 ?
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	5 ?
Unique (%)	< 0.1%

Sample

1st row	Raquel
2nd row	Raquel
3rd row	Bianca
4th row	Bianca
5th row	Adriele

Common Values

Value	Count	Frequency (%)
Lana	3387	6.5%
Barbara	3240	6.2%
Niq	3164	6.1%
Gabriella	2503	4.8%
Raquel	2466	4.7%
Bianca	2438	4.7%
Debora	2337	4.5%
Laura	2175	4.2%
Luan	2009	3.9%
Leonardo	1916	3.7%
Other values (39)	11653	22.4%
(Missing)	14812	28.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
lana	3387	9.1%
barbara	3240	8.7%
niq	3164	8.5%
gabriella	2503	6.7%
raquel	2466	6.6%
bianca	2438	6.5%
debora	2337	6.3%
laura	2175	5.8%
luan	2009	5.4%
leonardo	1916	5.1%
Other values (39)	11653	31.3%

Most occurring characters

Value	Count	Frequency (%)
a	51480	23.3%
r	21899	9.9%
e	17364	7.9%
i	17116	7.8%
n	12515	5.7%
l	11341	5.1%
L	10341	4.7%
b	8253	3.7%
u	8100	3.7%
o	8062	3.7%
Other values (33)	54221	24.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	220692	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	51480	23.3%
r	21899	9.9%
e	17364	7.9%
i	17116	7.8%
n	12515	5.7%
l	11341	5.1%
L	10341	4.7%
b	8253	3.7%
u	8100	3.7%
o	8062	3.7%
Other values (33)	54221	24.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	220692	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	51480	23.3%
r	21899	9.9%
e	17364	7.9%
i	17116	7.8%
n	12515	5.7%
l	11341	5.1%
L	10341	4.7%
b	8253	3.7%
u	8100	3.7%
o	8062	3.7%
Other values (33)	54221	24.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	220692	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	51480	23.3%
r	21899	9.9%
e	17364	7.9%
i	17116	7.8%
n	12515	5.7%
l	11341	5.1%
L	10341	4.7%
b	8253	3.7%
u	8100	3.7%
o	8062	3.7%
Other values (33)	54221	24.6%

profissao
Categorical

Distinct	15
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.1 MiB

Medicina	11843
Outros	9945
Psicologia	9066
Nutrição	3773
Odontologia	3478
Other values (10)	13995

Length

Max length	19
Median length	15
Mean length	9.2061612
Min length	6

Characters and Unicode

Total characters	479641
Distinct characters	30
Distinct categories	1 ?
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	Psicologia
2nd row	Nutrição
3rd row	Psicologia
4th row	Odontologia
5th row	Outros

Common Values

Value	Count	Frequency (%)
Medicina	11843	22.7%
Outros	9945	19.1%
Psicologia	9066	17.4%
Nutrição	3773	7.2%
Odontologia	3478	6.7%
Biomedicina	2898	5.6%
Fisioterapia	2889	5.5%
Não Informado	2466	4.7%
Psicanálise	1841	3.5%
Enfermagem	1669	3.2%
Other values (5)	2232	4.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
medicina	11843	21.3%
outros	9945	17.9%
psicologia	9066	16.3%
nutrição	3773	6.8%
odontologia	3478	6.3%
biomedicina	2898	5.2%
fisioterapia	2889	5.2%
não	2466	4.4%
informado	2466	4.4%
psicanálise	1841	3.3%
Other values (8)	4841	8.7%

Most occurring characters

Value	Count	Frequency (%)
i	73570	15.3%
o	58919	12.3%
a	44694	9.3%
c	28191	5.9%
s	25925	5.4%
n	25418	5.3%
e	23406	4.9%
r	22002	4.6%
d	21654	4.5%
t	20085	4.2%
Other values (20)	135777	28.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	479641	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	73570	15.3%
o	58919	12.3%
a	44694	9.3%
c	28191	5.9%
s	25925	5.4%
n	25418	5.3%
e	23406	4.9%
r	22002	4.6%
d	21654	4.5%
t	20085	4.2%
Other values (20)	135777	28.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	479641	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	73570	15.3%
o	58919	12.3%
a	44694	9.3%
c	28191	5.9%
s	25925	5.4%
n	25418	5.3%
e	23406	4.9%
r	22002	4.6%
d	21654	4.5%
t	20085	4.2%
Other values (20)	135777	28.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	479641	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	73570	15.3%
o	58919	12.3%
a	44694	9.3%
c	28191	5.9%
s	25925	5.4%
n	25418	5.3%
e	23406	4.9%
r	22002	4.6%
d	21654	4.5%
t	20085	4.2%
Other values (20)	135777	28.3%

indicado
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.4 MiB

Não Indicado	49863
Indicado	2237

Length

Max length	12
Median length	12
Mean length	11.828253
Min length	8

Characters and Unicode

Total characters	616252
Distinct characters	10
Distinct categories	1 ?
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	Indicado
2nd row	Não Indicado
3rd row	Não Indicado
4th row	Indicado
5th row	Não Indicado

Common Values

Value	Count	Frequency (%)
Não Indicado	49863	95.7%
Indicado	2237	4.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
indicado	52100	51.1%
não	49863	48.9%

Most occurring characters

Value	Count	Frequency (%)
d	104200	16.9%
o	101963	16.5%
I	52100	8.5%
n	52100	8.5%
i	52100	8.5%
c	52100	8.5%
a	52100	8.5%
N	49863	8.1%
ã	49863	8.1%
	49863	8.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	616252	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
d	104200	16.9%
o	101963	16.5%
I	52100	8.5%
n	52100	8.5%
i	52100	8.5%
c	52100	8.5%
a	52100	8.5%
N	49863	8.1%
ã	49863	8.1%
	49863	8.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	616252	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
d	104200	16.9%
o	101963	16.5%
I	52100	8.5%
n	52100	8.5%
i	52100	8.5%
c	52100	8.5%
a	52100	8.5%
N	49863	8.1%
ã	49863	8.1%
	49863	8.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	616252	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
d	104200	16.9%
o	101963	16.5%
I	52100	8.5%
n	52100	8.5%
i	52100	8.5%
c	52100	8.5%
a	52100	8.5%
N	49863	8.1%
ã	49863	8.1%
	49863	8.1%

tipo
Categorical

High correlation

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.0 MiB

Qualificado	36651
Desqualificado	15444
Bucket	5

Length

Max length	14
Median length	11
Mean length	11.88881
Min length	6

Characters and Unicode

Total characters	619407
Distinct characters	16
Distinct categories	1 ?
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	Qualificado
2nd row	Qualificado
3rd row	Qualificado
4th row	Qualificado
5th row	Qualificado

Common Values

Value	Count	Frequency (%)
Qualificado	36651	70.3%
Desqualificado	15444	29.6%
Bucket	5	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
qualificado	36651	70.3%
desqualificado	15444	29.6%
bucket	5	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
a	104190	16.8%
i	104190	16.8%
u	52100	8.4%
c	52100	8.4%
l	52095	8.4%
f	52095	8.4%
d	52095	8.4%
o	52095	8.4%
Q	36651	5.9%
e	15449	2.5%
Other values (6)	46347	7.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	619407	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	104190	16.8%
i	104190	16.8%
u	52100	8.4%
c	52100	8.4%
l	52095	8.4%
f	52095	8.4%
d	52095	8.4%
o	52095	8.4%
Q	36651	5.9%
e	15449	2.5%
Other values (6)	46347	7.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	619407	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	104190	16.8%
i	104190	16.8%
u	52100	8.4%
c	52100	8.4%
l	52095	8.4%
f	52095	8.4%
d	52095	8.4%
o	52095	8.4%
Q	36651	5.9%
e	15449	2.5%
Other values (6)	46347	7.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	619407	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	104190	16.8%
i	104190	16.8%
u	52100	8.4%
c	52100	8.4%
l	52095	8.4%
f	52095	8.4%
d	52095	8.4%
o	52095	8.4%
Q	36651	5.9%
e	15449	2.5%
Other values (6)	46347	7.5%

motivoPerda
Categorical

High correlation Missing

Distinct	34
Distinct (%)	0.1%
Missing	6597
Missing (%)	12.7%
Memory size	5.7 MiB

NF - Desistência após tentativas	17873
NF - Lead não é profissional da saúde	12043
NF - Dados incorretos ou inexistentes	2369
NF - Estrutura não atende	2133
NF - Outros	1830
Other values (29)	9255

Length

Max length	59
Median length	50
Mean length	31.52313
Min length	10

Characters and Unicode

Total characters	1434397
Distinct characters	51
Distinct categories	1 ?
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	3 ?
Unique (%)	< 0.1%

Sample

1st row	NF - Concorrente
2nd row	NF - Concorrente
3rd row	NF - Consultório Próprio
4th row	NF - Consultório Próprio
5th row	NF - Curioso / Pesquisando

Common Values

Value	Count	Frequency (%)
NF - Desistência após tentativas	17873	34.3%
NF - Lead não é profissional da saúde	12043	23.1%
NF - Dados incorretos ou inexistentes	2369	4.5%
NF - Estrutura não atende	2133	4.1%
NF - Outros	1830	3.5%
NF - Desistiu de abrir consultório agora	1610	3.1%
NF - Curioso / Pesquisando	1148	2.2%
NF - Preço	1069	2.1%
NF - Região / Localidade	970	1.9%
NF - Quer Hora Avulsa	918	1.8%
Other values (24)	3540	6.8%
(Missing)	6597	12.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	47620	18.0%
nf	45494	17.2%
desistência	17873	6.8%
após	17873	6.8%
tentativas	17873	6.8%
não	15001	5.7%
lead	12451	4.7%
é	12043	4.6%
profissional	12043	4.6%
da	12043	4.6%
Other values (84)	54227	20.5%

Most occurring characters

Value	Count	Frequency (%)
	219038	15.3%
a	144942	10.1%
s	136023	9.5%
i	100526	7.0%
t	95673	6.7%
e	89851	6.3%
n	79019	5.5%
o	70070	4.9%
d	48546	3.4%
N	45749	3.2%
Other values (41)	404960	28.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1434397	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	219038	15.3%
a	144942	10.1%
s	136023	9.5%
i	100526	7.0%
t	95673	6.7%
e	89851	6.3%
n	79019	5.5%
o	70070	4.9%
d	48546	3.4%
N	45749	3.2%
Other values (41)	404960	28.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1434397	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	219038	15.3%
a	144942	10.1%
s	136023	9.5%
i	100526	7.0%
t	95673	6.7%
e	89851	6.3%
n	79019	5.5%
o	70070	4.9%
d	48546	3.4%
N	45749	3.2%
Other values (41)	404960	28.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1434397	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	219038	15.3%
a	144942	10.1%
s	136023	9.5%
i	100526	7.0%
t	95673	6.7%
e	89851	6.3%
n	79019	5.5%
o	70070	4.9%
d	48546	3.4%
N	45749	3.2%
Other values (41)	404960	28.2%

Interactions

Correlations

	closer	id	indicado	motivoPerda	profissao	sdr	tipo	utm_source
closer	1.000	0.253	0.066	0.082	0.069	0.208	0.144	0.178
id	0.253	1.000	0.051	0.090	0.081	0.286	0.024	0.150
indicado	0.066	0.051	1.000	0.082	0.116	0.045	0.102	0.803
motivoPerda	0.082	0.090	0.082	1.000	0.202	0.142	0.707	0.076
profissao	0.069	0.081	0.116	0.202	1.000	0.051	0.372	0.140
sdr	0.208	0.286	0.045	0.142	0.051	1.000	0.078	0.052
tipo	0.144	0.024	0.102	0.707	0.372	0.078	1.000	0.720
utm_source	0.178	0.150	0.803	0.076	0.140	0.052	0.720	1.000

Missing values

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.

Sample

	id	data_criacao	data_perda	data_venda	utm_source	sdr	closer	profissao	indicado	tipo	motivoPerda
0	79342	2024-04-01	2024-07-24	2024-04-18	typeform-Gentileza	NaN	Raquel	Psicologia	Indicado	Qualificado	NaN
1	79305	2024-04-01	2024-09-11	2024-04-04	NaN	NaN	Raquel	Nutrição	Não Indicado	Qualificado	NaN
2	79271	2024-04-01	2024-07-26	2024-04-02	instagram	NaN	Bianca	Psicologia	Não Indicado	Qualificado	NaN
3	79248	2024-04-01	2024-12-06	2024-04-01	google	NaN	Bianca	Odontologia	Indicado	Qualificado	NaN
4	79226	2024-04-01	2024-11-25	2024-04-30	typeform-BLIP	NaN	Adriele	Outros	Não Indicado	Qualificado	NaN
5	79345	2024-04-01	2025-01-29	2024-04-05	typeform-Ex Membro	NaN	Camila	Medicina	Não Indicado	Qualificado	NaN
6	79301	2024-04-01	2024-12-17	2024-04-05	typeform-Ex Membro	NaN	Barbara	Psicologia	Não Indicado	Qualificado	NaN
7	79322	2024-04-01	2025-01-06	2024-04-04	google	NaN	Bianca	Odontologia	Não Indicado	Qualificado	NaN
8	79285	2024-04-01	2024-05-03	2024-04-01	typeform-Indicação Interna	NaN	Lana	Fisioterapia	Indicado	Qualificado	NaN
9	79238	2024-04-01	2025-09-06	2024-04-09	google	NaN	Raquel	Medicina	Indicado	Qualificado	NaN

	id	data_criacao	data_perda	data_venda	utm_source	sdr	closer	profissao	indicado	tipo	motivoPerda
52090	133288	2025-04-30	NaT	2025-05-19	typeform-Outros	Lucas	Thiago	Medicina	Não Indicado	Qualificado	NaN
52091	133287	2025-04-30	NaT	2025-05-16	google	Eric	Bianca	Medicina	Não Indicado	Qualificado	NaN
52092	133275	2025-04-30	NaT	NaT	google	Lucas	NaN	Psicologia	Não Indicado	Qualificado	NaN
52093	133271	2025-04-30	NaT	2025-04-30	typeform-Ex Membro	NaN	Luan	Medicina	Não Indicado	Qualificado	NaN
52094	133265	2025-04-30	NaT	2025-05-15	google	Leticia	Thiago	Psicologia	Não Indicado	Qualificado	NaN
52095	133244	2025-04-30	NaT	2025-09-09	Não informado	Leticia	Karen	Medicina	Não Indicado	Qualificado	NaN
52096	133242	2025-04-30	NaT	2025-04-30	typeform-Outros	Ana	Debora	Medicina	Não Indicado	Qualificado	NaN
52097	133225	2025-04-30	NaT	2025-05-09	google	Ana	Caio	Enfermagem	Não Indicado	Qualificado	NaN
52098	133219	2025-04-30	NaT	2025-05-12	instagram	Milena	Caio	Enfermagem	Não Indicado	Qualificado	NaN
52099	133214	2025-04-30	NaT	2025-05-06	Whatsapp Oficial	NaN	Bianca	Outros	Não Indicado	Qualificado	NaN

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories