null
US
Entrar
Registre-se gratuitamente
Registre-se
Detectamos que o JavaScript não está habilitado no teu navegador. Habilite o Javascript para o funcionamento correto do nosso site. Por favor, leia os
Termos e Condições
para mais informações.
Próximo
Copiar e Editar
Você deve estar logado para concluir esta ação!
Inscreva-se gratuitamente
441707
EDA - Visualisation
Descrição
Bsc Hons Data Mining Mapa Mental sobre EDA - Visualisation, criado por Steve Hiscock em 15-12-2013.
Sem etiquetas
data mining
data mining
bsc hons
Mapa Mental por
Steve Hiscock
, atualizado more than 1 year ago
Mais
Menos
Criado por
Steve Hiscock
aproximadamente 12 anos atrás
27
0
0
Resumo de Recurso
EDA - Visualisation
Basic Plots
When combining categories in histograms
1. Combine the 2> values
2. Divide the values by the number of bars being represented for that range
3. This will create an averaged set of bars across the range (Changing the shape of the histogram)
Bars don't have to be the same width - Its all about AREA.... Not HEIGHT
Distribution Shapes
Anexos:
Distribution Types
Bulk of Density
Modal Values
irregular
Relative Frequency Density - Asymmetrical
Outliers
Measures of location
Mean
Add all the values and divide by the number of values
Mode
Most common value
Modal Class vs. Mode Tables. Can appear differently. Class is important. The resolution/number of bars can better determine the mode
Median
The middle number
Variance = average of squared differences about the mean
Always divide by one less than the sample size - Don't include your mean
Measures the spread of the data
Variance Square Rooted = Standard Deviation
How spread out the data is
Zero = Max & Min's the same
Skew - 0 = Symeteric
Kurtosis
Tail Fatness - Higher numbers thinner tails
Anexos de mídia
Basic_Plots (image/png)
Relative_Freq_Density (image/png)
Outliers (image/png)
skew_Kurtosis (image/png)
Quer criar seus próprios
Mapas Mentais
gratuitos
com a GoConqr?
Saiba mais
.
Semelhante
Chapter 19 Key Terms
Monica Holloway
Data Warehousing and Mining
i7752068
Insurance Policy Advisor
Sufiah Takeisu
Data Mining Part 1
Kim Graff
Minería de Datos.
Marcos Soledispa
Machine Learning
Alberto Ochoa
Data Mining from Big Data 4V-s
Prohor Leykin
Model Roles
Steve Hiscock
Data Mining Process
Steve Hiscock
Data Mining Tasks
Steve Hiscock
Distribution Types
Steve Hiscock
Explore a Biblioteca