In this project, you’re given a text file with chess tournament results where the information has some structure. Your job is to create an R Markdown file that generates a .CSV file (that could for example be imported into a SQL database) with the following information for all of the players:
Player’s Name, Player’s State, Total Number of Points, Player’s Pre-Rating, and Average Pre Chess Rating of Opponents.
library(stringr)
chess_text <- readLines("https://raw.githubusercontent.com/L-Velasco/Fall16_IS607/master/tournamentinfo.txt", warn = FALSE)line1 <- c(seq(5,length(chess_text),by=3))
line2 <- c(seq(6,length(chess_text),by=3))Name <- str_replace_all(str_extract(chess_text[line1],"([|]).+?\\1"),"[|]","")
State <- str_trim(str_extract(chess_text[line2],"[[:blank:]]+\\w+"))
Points <- str_sub(chess_text[line1],str_locate(chess_text[line1],"[.]")[1]-1,str_locate(chess_text[line1],"[.]")[1]+1)
Prerating <- as.numeric(str_extract(str_sub(chess_text[line2],str_locate(chess_text[line2],":")[1],str_locate(chess_text[line2],">")[1]),"[[:digit:]]+"))row_info <- data.frame(Name,State,Points,Prerating, stringsAsFactors = FALSE)OppAvgRating <- NULL
for (i in seq(5,length(chess_text),by=3))
{
a <- c(as.numeric(unlist(str_extract_all(str_sub(chess_text[i], start=51),"[[:digit:]]+"))))
OppAvgRating <- c(OppAvgRating, as.integer(mean(row_info$Prerating[a])))
}all_info <- cbind(row_info,OppAvgRating)
all_info## Name State Points Prerating OppAvgRating
## 1 GARY HUA ON 6.0 1794 1605
## 2 DAKSHESH DARURI MI 6.0 1553 1469
## 3 ADITYA BAJAJ MI 6.0 1384 1563
## 4 PATRICK H SCHILLING MI 5.5 1716 1573
## 5 HANSHI ZUO MI 5.5 1655 1500
## 6 HANSEN SONG OH 5.0 1686 1518
## 7 GARY DEE SWATHELL MI 5.0 1649 1372
## 8 EZEKIEL HOUGHTON MI 5.0 1641 1468
## 9 STEFANO LEE ON 5.0 1411 1523
## 10 ANVIT RAO MI 5.0 1365 1554
## 11 CAMERON WILLIAM MC LEMAN MI 4.5 1712 1467
## 12 KENNETH J TACK MI 4.5 1663 1506
## 13 TORRANCE HENRY JR MI 4.5 1666 1497
## 14 BRADLEY SHAW MI 4.5 1610 1515
## 15 ZACHARY JAMES HOUGHTON MI 4.5 1220 1483
## 16 MIKE NIKITIN MI 4.0 1604 1385
## 17 RONALD GRZEGORCZYK MI 4.0 1629 1498
## 18 DAVID SUNDEEN MI 4.0 1600 1480
## 19 DIPANKAR ROY MI 4.0 1564 1426
## 20 JASON ZHENG MI 4.0 1595 1410
## 21 DINH DANG BUI ON 4.0 1563 1470
## 22 EUGENE L MCCLURE MI 4.0 1555 1300
## 23 ALAN BUI ON 4.0 1363 1213
## 24 MICHAEL R ALDRICH MI 4.0 1229 1357
## 25 LOREN SCHWIEBERT MI 3.5 1745 1363
## 26 MAX ZHU ON 3.5 1579 1506
## 27 GAURAV GIDWANI MI 3.5 1552 1221
## 28 SOFIA ADINA STANESCU-BELLU MI 3.5 1507 1522
## 29 CHIEDOZIE OKORIE MI 3.5 1602 1313
## 30 GEORGE AVERY JONES ON 3.5 1522 1144
## 31 RISHI SHETTY MI 3.5 1494 1259
## 32 JOSHUA PHILIP MATHEWS ON 3.5 1441 1378
## 33 JADE GE MI 3.5 1449 1276
## 34 MICHAEL JEFFERY THOMAS MI 3.5 1399 1375
## 35 JOSHUA DAVID LEE MI 3.5 1438 1149
## 36 SIDDHARTH JHA MI 3.5 1355 1388
## 37 AMIYATOSH PWNANANDAM MI 3.5 980 1384
## 38 BRIAN LIU MI 3.0 1423 1539
## 39 JOEL R HENDON MI 3.0 1436 1429
## 40 FOREST ZHANG MI 3.0 1348 1390
## 41 KYLE WILLIAM MURPHY MI 3.0 1403 1248
## 42 JARED GE MI 3.0 1332 1149
## 43 ROBERT GLEN VASEY MI 3.0 1283 1106
## 44 JUSTIN D SCHILLING MI 3.0 1199 1327
## 45 DEREK YAN MI 3.0 1242 1152
## 46 JACOB ALEXANDER LAVALLEY MI 3.0 377 1357
## 47 ERIC WRIGHT MI 2.5 1362 1392
## 48 DANIEL KHAIN MI 2.5 1382 1355
## 49 MICHAEL J MARTIN MI 2.5 1291 1285
## 50 SHIVAM JHA MI 2.5 1056 1296
## 51 TEJAS AYYAGARI MI 2.5 1011 1356
## 52 ETHAN GUO MI 2.5 935 1494
## 53 JOSE C YBARRA MI 2.0 1393 1345
## 54 LARRY HODGE MI 2.0 1270 1206
## 55 ALEX KONG MI 2.0 1186 1406
## 56 MARISA RICCI MI 2.0 1153 1414
## 57 MICHAEL LU MI 2.0 1092 1363
## 58 VIRAJ MOHILE MI 2.0 917 1391
## 59 SEAN M MC CORMICK MI 2.0 853 1319
## 60 JULIA SHEN MI 1.5 967 1330
## 61 JEZZEL FARKAS ON 1.5 955 1327
## 62 ASHWIN BALAJI MI 1.0 1530 1186
## 63 THOMAS JOSEPH HOSMER MI 1.0 1175 1350
## 64 BEN LI MI 1.0 1163 1263write.csv(all_info,file="IS607 Project 1 - Chess Tournament Rating.csv")