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Computed metrics on player speed and acceleration for each game.

master
Jeffery Russell 5 years ago
parent
commit
502285f31d
2 changed files with 826 additions and 9 deletions
  1. +799
    -0
      data_preparation/data/speedData.csv
  2. +27
    -9
      data_preparation/dataPrep.R

+ 799
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data_preparation/data/speedData.csv View File

@ -0,0 +1,799 @@
"","gameID","playerID","averageSpeed","accelerationVector"
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"2",2,2,1.74421568677905,1.16129889790784
"3",3,2,1.07787746041134,1.10351847363523
"4",4,2,1.21107942650256,1.13246482933397
"5",5,2,0.0137764499693478,1.06474272290467
"6",6,2,1.94120558109787,1.146865298664
"7",7,2,1.22020736168799,1.12848585324374
"8",8,2,1.34394880308456,1.13562836551868
"9",9,2,1.16234840998408,1.12239524586719
"10",10,2,1.03789513301476,1.12260389477498
"11",11,2,1.95249813187896,1.16018587350874
"12",12,2,0.223656610333639,1.06756021876023
"13",13,2,0.829283553086806,1.0991314961471
"14",14,2,0.15852836373719,1.06759394513467
"15",15,2,1.12074602135577,1.11513380371634
"16",16,2,0.971054601439169,1.10463881568274
"17",17,2,0.869261365568522,1.10030018034645
"18",18,2,1.25156863060178,1.12646920213549
"19",19,2,1.92233943230709,1.16818424510756
"20",20,2,0.649062029481435,1.08486694104424
"21",21,2,0.670886363718549,1.0877274137206
"22",22,2,1.07041086767478,1.12527024421626
"23",23,2,1.34733708098004,1.13125329230651
"24",24,2,1.92233943230709,1.16818424510756
"25",25,2,0.649062029481435,1.08486694104424
"26",26,2,0.670886363718549,1.0877274137206
"27",27,2,1.07041086767478,1.12527024421626
"28",28,2,1.34733708098004,1.13125329230651
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"47",9,3,1.37033003104991,1.13296169932273
"48",10,3,1.35811042459937,1.16220563093959
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"54",16,3,1.45148020420994,1.12897009153938
"55",17,3,NA,NA
"56",18,3,NA,NA
"57",19,3,NA,NA
"58",20,3,NA,NA
"59",21,3,NA,NA
"60",22,3,NA,NA
"61",23,3,NA,NA
"62",24,3,NA,NA
"63",25,3,NA,NA
"64",26,3,NA,NA
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"66",28,3,NA,NA
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"118",4,6,0.401741560773636,1.09804434507795
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"120",6,6,NA,NA
"121",7,6,NA,NA
"122",8,6,NA,NA
"123",9,6,NA,NA
"124",10,6,NA,NA
"125",11,6,NA,NA
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"127",13,6,NA,NA
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"130",16,6,NA,NA
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+ 27
- 9
data_preparation/dataPrep.R View File

@ -4,6 +4,9 @@
library(tidyverse) library(tidyverse)
library(DBI)
library(RSQLite)
gpsData <- read.csv("data/gps.csv") gpsData <- read.csv("data/gps.csv")
@ -12,13 +15,16 @@ gpsDataTibble <- as_tibble(gpsData)
workingTibble <- head(gpsDataTibble, 100000)
#workingTibble <- head(gpsDataTibble, 500000)
workingTibble <- gpsDataTibble
playerIds <-unique(workingTibble$PlayerID)
playerIds <-unique(workingTibble$PlayerID)
cat("Number of Players: ", length(playerIds), sep="")
gameIds <- unique(workingTibble$GameID) gameIds <- unique(workingTibble$GameID)
cat("Number of Games: ", length(gameIds), sep="")
playerIDMetrics <- c() playerIDMetrics <- c()
@ -37,16 +43,11 @@ for(playerID in playerIds)
# crunch average speed # crunch average speed
averageSpeed <- c(averageSpeed, mean(speedTibble$Speed))
averageSpeed <- c(averageSpeed, mean(speedTibble$Speed, na.rm = 0))
# average for accel value # average for accel value
accelDistance <- c(accelDistance, mean(sqrt(speedTibble$AccelX^2 + speedTibble$AccelY^2 + speedTibble$AccelZ^ 2)))
#xAccel <- c(xAccel, mean(speedTibble$AccelX))
#yAccel <- c(yAccel, mean(speedTibble$AccelY))
#zAccel <- c(zAccel, mean(speedTibble$AccelZ))
accelDistance <- c(accelDistance, mean(sqrt(speedTibble$AccelX^2 + speedTibble$AccelY^2 + speedTibble$AccelZ^ 2), na.rm = 0))
# game and player id to vector # game and player id to vector
@ -58,6 +59,23 @@ for(playerID in playerIds)
plot(accelDistance, averageSpeed) plot(accelDistance, averageSpeed)
compressedMetrics <- tibble(gameID = gameIDMetrics, playerID = playerIDMetrics, averageSpeed = averageSpeed, accelerationVector = accelDistance)
length(compressedMetrics$averageSpeed)
length(compressedMetrics$accelerationVector)
write.csv(compressedMetrics, "data/speedData.csv")
#putSQLiteHere <- "gpsData.sqlite" # could also be ":memory:"
#mySQLiteDB <- dbConnect(RSQLite::SQLite(),putSQLiteHere)
#dbWriteTable(mySQLiteDB, "gpsData", compressedMetrics, overwrite=TRUE)
#dbDisconnect(mySQLiteDB)

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