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Merge branch 'master' of https://github.com/PerryXDeng/wheatyeeters

master
PerryXDeng 5 years ago
parent
de40fd51d5 6d45397bda
commit
72c477c308
8 changed files with 15885 additions and 26 deletions
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  1. +4
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      .gitignore
  2. BIN
      DataFest 2019 - Codebook.xlsx
  3. +5018
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      data_preparation/cleaned/dirty_wellness.csv
  4. +5018
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      data_preparation/cleaned/dirty_wellness_na.csv
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      data_preparation/data/speedData.csv
  6. +27
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      data_preparation/dataPrep.R
  7. +5018
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      data_preparation/dirty_wellness_na.csv
  8. +1
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      data_preparation/vectorization_ex.py

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@ -133,4 +133,8 @@ rsconnect/
# datafest
data_preparation/data/*.csv
*.big
data_preparation/cleaned/games.csv
data_preparation/cleaned/gps.csv
data_preparation/cleaned/rpe.csv

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DataFest 2019 - Codebook.xlsx View File


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data_preparation/cleaned/dirty_wellness.csv
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@ -0,0 +1,799 @@
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"787",27,5,0.636473571498429,1.11912341898578
"788",28,5,1.15377119598524,1.14666214832631
"789",29,5,0.724842465743855,1.11247032209313
"790",30,5,0.787385191240715,1.11433025109476
"791",31,5,1.18474297036851,1.1324854667384
"792",32,5,1.24669005285473,1.14108710122849
"793",33,5,1.29948496295285,1.13819139738012
"794",34,5,1.04445366335103,1.12324498339965
"795",35,5,0.680632460134855,1.10390154544635
"796",36,5,1.16681561352878,1.10778414826625
"797",37,5,0.555611427242176,1.09144611864342
"798",38,5,0.6347739327494,1.09214223486489

+ 27
- 9
data_preparation/dataPrep.R View File

@ -4,6 +4,9 @@
library(tidyverse)
library(DBI)
library(RSQLite)
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$GameID)
cat("Number of Games: ", length(gameIds), sep="")
playerIDMetrics <- c()
@ -37,16 +43,11 @@ for(playerID in playerIds)
# crunch average speed
averageSpeed <- c(averageSpeed, mean(speedTibble$Speed))
averageSpeed <- c(averageSpeed, mean(speedTibble$Speed, na.rm = 0))
# average for accel value
accelDistance <- c(accelDistance, mean(sqrt(speedTibble$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
@ -58,6 +59,23 @@ for(playerID in playerIds)
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)

+ 5018
- 0
data_preparation/dirty_wellness_na.csv
File diff suppressed because it is too large
View File


+ 1
- 17
data_preparation/vectorization_ex.py View File

@ -1,7 +1,7 @@
import pandas as pd
# read in CSV
df = pd.read_csv('cleaned/wellness.csv')
df = pd.read_csv('cleaned/dirty_wellness_na.csv')
def vectorize_mult(column, dictionary, file=None):
@ -10,19 +10,3 @@ def vectorize_mult(column, dictionary, file=None):
if file is not None:
df.to_csv('cleaned/{}.csv'.format(file))
vectorize_mult("USGMeasurement", {"No": 0, "Yes": 1}, "wellness")
"""
for i, value in df["TrainingReadiness"].iteritems():
if pd.notna(value):
value = value.split("%")[0]
value = float(value) * (1/100)
value = round(value, 2)
df.set_value(i, "TrainingReadinessNum", value)
print(value)
df.to_csv('cleaned/{}.csv'.format("wellness"))
"""

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