Number of rows in dataset for R and Python visual objects

Francisco_G_Cal — Fri, 25 Aug 2023 11:14:43 GMT

How many rows are sampled in the 'dataset' preloaded object for R and Python visual objects? I have about 2 million rows in my dataset

If I insert a ggscatterplot as a R visual object in PowerBI, the number of rows used in my case is 2248,

This is the R Code:

library(ggplot2) color_palette <- colorRampPalette(c("steelblue", "darkblue"))(length(dataset$Accesos)) ggplot(dataset, aes(x = Edad, y = Hora, size = Accesos, alpha = Accesos, color = Accesos)) + geom_point(stroke = NA) + scale_size_continuous(range = c(2, 10)) + scale_alpha_continuous(range = c(0.1, 0.8)) + scale_color_gradientn(colors = color_palette) + labs( x = "Edad", y = "Hora", title = "Scatterplot Edad/Horas", subtitle = paste("Nº de registros", nrow(dataset)))

And this is the R visual object result:

But, if I try to insert a python seaborn density plot as a Python visual object...

The source:

import pandas as pd import numpy as np import seaborn as sns import matplotlib.pyplot as plt num_filas = len(dataset) sns.set(style="white") sns.kdeplot(data=dataset, x='Hora', y='Edad', fill=True, cmap='viridis', thresh=0, levels=100) plt.xlabel('Hora') plt.ylabel('Edad') plt.title("Grafico de densidad horas-Edad") plt.suptitle(f"Número de Filas: {num_filas}", y=0.95) plt.show()

The rows included in dataset are just... 24! And, of course, nothing to plot...

It should look like this (same code, in Google Collab)

Is there someting wrong in my code?

Thanks!

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Number of rows in dataset for R and Python visual objects