DeepanshKhurana

#' @export
#'
true_round <- function(number, digits) {
  number <- as.numeric(number)
  posneg <- sign(number)
  number <- abs(number) * 10^digits
  number <- number + 0.5 + sqrt(.Machine$double.eps)
  number <- trunc(number)
  number <- number / 10 ^ digits
  number * posneg

DeepanshKhurana

#' @export
#'
true_round <- function(number, digits) {
  number <- as.numeric(number)
  posneg <- sign(number)
  number <- abs(number) * 10^digits
  number <- number + 0.5 + sqrt(.Machine$double.eps)
  number <- trunc(number)
  number <- number / 10 ^ digits
  number * posneg

DeepanshKhurana

# Loading Libraries ----

library(reactable)
library(yaml)
library(shiny)

# Generate Reactable Function ----

generate_reactable <- function(data,
                               table_type,

DeepanshKhurana

library(shiny)
library(reactable)
library(dplyr)

ui <- fluidPage(
  actionButton(inputId = "edit",
              label = "Edit"),
  reactableOutput("table")
)

DeepanshKhurana

# Imports

import requests
import re
import pandas as pd
import numpy as np

# Initialising Variables

names = []

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from collections import OrderedDict
import numpy as np
import spacy
from spacy.lang.en.stop_words import STOP_WORDS

nlp = spacy.load('en_core_web_sm')

class TextRank4Keyword():
    """Extract keywords from text"""
    

DeepanshKhurana

# This script will let you choose R packages. There's a mechanism to check whether the package is already installed, and it will print a # statement with the package name if it is installed.

# This can also serve as a handy list for the 

# Linux Dependencies: libssl-dev, libcurl4-openssl-dev and libxml2-dev, unixodbc-dev

wrangling <- c("tidyverse", "gsubfn", "googlesheets", "stringr", "stringi", "readr", "data.table", "lubridate")
analysis <- c("MASS", "caret", "CARS", "sqldf")
graphics <- c("ggmap", "gridExtra", "RColorBrewer", "scales", "plotly") #ggplot2 is done in tidyverse
sql <- c("RSQLite", "odbc")

DeepanshKhurana

# @dependency ggmap for the geocode function
# @dependency plyr for ldply
#
#
# @param lat - The latitude value or column using $ notation
# @param long - The longitude value or column using $ notation
# @param api.key - Your Google Geocoding API key.
# You'll need to get one here: https://developers.google.com/maps/documentation/geocoding/start
# The Geocoding API requires you to sign up with payment details. You may get charged for using it in huge volumes. 
# Please refer to the official documentation provided by Google on their pages.