Data Structure ?
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Data Structure ?
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README.md
文脈
私は、ニューヨーク市タクシー乗車時間予測プロジェクトでハーベルサイン距離と乗車の郵便番号の概算値を使用したいと思っています。
内容
(https://www.kaggle.com/c/nyc-taxi-trip-duration)
謝辞
Rの**geosphere**パッケージ
Rの**zipcode**パッケージ インスピレーション もしこのデータがあなたに役立つと思って、ダウンロードできない場合は、以下の数行のコードを使って同じ計算を再実行することができます。 library(data.table)
library(geosphere)
library(zipcode)
** データの読み込み **
train <- fread("train.csv")
test <- fread("test.csv")
** ハーベルサイン距離の計算 **
train[, distance := distHaversine(c(pickup_longitude, pickup_latitude), c(dropoff_longitude, dropoff_latitude)), by = id]
test[, distance := distHaversine(c(pickup_longitude, pickup_latitude), c(dropoff_longitude, dropoff_latitude)), by = id]
** 地点間のユークリッド距離を使って概算の郵便番号を割り当てる **
data("zipcode")
zipcode <- as.data.table(zipcode)
zipcode <- zipcode[state == "NY"
Rの**zipcode**パッケージ インスピレーション もしこのデータがあなたに役立つと思って、ダウンロードできない場合は、以下の数行のコードを使って同じ計算を再実行することができます。 library(data.table)
library(geosphere)
library(zipcode)
** データの読み込み **
train <- fread("train.csv")
test <- fread("test.csv")
** ハーベルサイン距離の計算 **
train[, distance := distHaversine(c(pickup_longitude, pickup_latitude), c(dropoff_longitude, dropoff_latitude)), by = id]
test[, distance := distHaversine(c(pickup_longitude, pickup_latitude), c(dropoff_longitude, dropoff_latitude)), by = id]
** 地点間のユークリッド距離を使って概算の郵便番号を割り当てる **
data("zipcode")
zipcode <- as.data.table(zipcode)
zipcode <- zipcode[state == "NY"
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