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Questions - categorical-data

How can I fix type error for One hot encoder

My problem is that I need to change some sets of categorized columns into numbers for machine learning. I don't want to use LabelEncoding because I heard it's not as efficient as OnehotEncoder. So i u...
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Franklin Johnson

python

pandas

scikit-learn

categorical-data

one-hot-encoding

Votes: 0

Answers: 1

Latest Answer

This error is pretty self-explainatory : you cannot have str AND float in your columnS to use the encoder. Where the categorical features are the list of columns i want to use the onehotencoder on M...
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Grall

R: simulating a population where two categorical variables are independent

Background For teaching purpose, I use simulations (mainly in R) to help students (in the social science...no math or stats background) grasping some "tough" concepts/ideas behind some stats...
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NewAtGis

r

dataframe

associations

categorical-data

chi-squared

Votes: 0

Answers: 1

Latest Answer

You can use sample with the replace = argument set as TRUE, and combine the new vectors into variables with data.frame: dat <- data.frame(gender = sample(c("F", "M"), size = 100...
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Andrea M

Unable to rename/replace categories in a dataframe after removing unicode u

I am trying to rename the categories in a dataframe after removing the unicode u with a .replace('u','',regex) method due to the method removing the other 'u's in the text as well. I have tried using ...
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dataanalysiscoder34

python

pandas

categories

categorical-data

Votes: 0

Answers: 2

Latest Answer

Try str.extract before create category (if needed) df = pd.read_excel('yelp_reviews.xlsx') df['NoiseLevel'] = df['NoiseLevel'].str.extract("(?:u')?([^']*)") Output: >>> df['NoiseLe...
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Corralien

How do I drop some categorical variables from a plot in R?

So, I have this scatterplot: data(infmort, package = "faraway") summary(infmort) #install.packages("ggplot2") library(ggplot2) #levels(infmort$region) # Levels are : 1) Africa, 2)...
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Heidi Meier

r

scatter-plot

categorical-data

levels

Votes: 0

Answers: 2

Latest Answer

One potential solution is to subset the dataframe before plotting, e.g. #install.packages("faraway") data(infmort, package = "faraway") summary(infmort) #> region in...
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jared_mamrot

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