Yes decision tree is able to handle both numerical and categorical data. Which holds true for theoretical part, but during implementation, you should try either OrdinalEncoder or one-hot-encoding for the …

May 2, 2011 · 3 The library PCAmixdata has functon splitmix that splits quantitative (Numerical data) and qualitative (Categorical data) of a given dataframe "YourDataframe" as shown below:

1 Consider applying the .astype () or the .convert_dtype () method: The first line specifies a list of the columns in the dataframe, data_df, whose dtypes match those specified in include=. The second line …

I have two tabulated data arrays, x and y, and I don't know the function that generated the data. I want to be able to evaluate the integral of the line produced by the data at any point along the ...

I have a dataframe and would like to calculate the correlation (with Spearman, data is categorical and ranked) but only for a subset of columns. I tried with all, but R's cor() function only accepts

Apr 9, 2021 · 4 I'm trying to find the correlation between categorical and numerical columns in my dataset using Python, can anyone help? Here is the data that I have. Thank you in advance.

Nov 28, 2011 · Data validation drop down There is a list option in Data validation. If this is combined with a VLOOKUP formula you would be able to convert the selected value into a number. The steps in …

Aug 15, 2010 · I'm a physicist that normally deals with large amounts of numerical data generated using C programs. Typically, I store everything as columns in ASCII files, but this had led to massively …

16 This answer provides two ways to solve the problem using the data.table package, which would greatly improve the speed of the process. This is crucial if one is working with large data sets. 1s …

Apr 11, 2018 · Is there a better way to determine whether a variable in Pandas and/or NumPy is numeric or not ? I have a self defined dictionary with dtypes as keys and numeric / not as values.