Others in the series:
Here is some code for trelliscopejs combined with scatterD3.
| # /// script | |
| # requires-python = ">=3.12" | |
| # dependencies = [ | |
| # "numpy", | |
| # "polars", | |
| # ] | |
| # /// | |
| import numpy as np | |
| import polars as pl |
| longitude (X) | latitude (Y) | |
|---|---|---|
| 1.4181709 | 43.5986207 | |
| -1.63327 | 48.1183 | |
| 2.13457 | 48.6965 | |
| 2.07208 | 49.0393 | |
| 2.20355 | 48.7138 | |
| 6.1553804 | 45.9194127 | |
| 3.87893 | 43.6463 | |
| 6.21681 | 49.1011 | |
| 2.35259 | 48.8379 |
| library(quanteda) | |
| library(rainette) | |
| library(scatterD3) | |
| library(ggplot2) | |
| ## Classification sur segments | |
| corpus <- corpus_subset(data_corpus_inaugural, Year > 1970) | |
| corpus <- split_segments(corpus) | |
| dtm <- dfm(corpus, remove = stopwords("en"), tolower = TRUE, remove_punct = TRUE) |
| ## Generate unique id for this table | |
| tab_id <- paste0("mytab_", session$token) | |
| output$table <- DT::renderDT({ | |
| ## Enable stateSave and configure callbacks to save and restore state | |
| ## to/from sessionStorage | |
| options <- list( | |
| stateSave = TRUE, |
| library(tidyverse) | |
| library(questionr) | |
| ## On recrée le tableau d'exemple | |
| df <- tibble( | |
| producteur = c("Bénévole", | |
| "Rémunérée", | |
| "Rémunérée, Bénévole", | |
| "Bénévole, Rémunérée", | |
| "Rémunérée") |
| #Sys.setenv(DEBUGME = "crrri") | |
| #library(debugme) | |
| library(promises) | |
| library(crrri) | |
| library(purrr) | |
| library(dplyr) | |
| library(progress) | |
| --- | |
| title: "test" | |
| date: "19 septembre 2017" | |
| --- | |
| ```{r setup, include=FALSE} | |
| knitr::opts_chunk$set(echo = TRUE) | |
| library(knitr) | |
| library(questionr) |
Others in the series:
Here is some code for trelliscopejs combined with scatterD3.
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| license: gpl-3.0 |