Publications by Sai Dheeraj
Week 10 datadive
my_data <- read.csv('C:/Users/dell/Downloads/Ball_By_Ball.csv') Selecting Binary column I consider “Out_type,” which represents the type of dismissal for a batsman in a cricket match. We can convert this variable into a binary format where “Out_type” indicates whether the batsman was dismissed (1) or not dismissed (0). # Remove rows wit...
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Week 8 data-dive
my_data <- read.csv('C:/Users/dell/Downloads/Ball_By_Ball.csv') Response variable The “Runs_Scored” column Will be a valuable continuous (ordered integer) response variable. This column represents the number of runs scored on each ball, and it is a key indicator of a team’s performance and the outcome of the match. Explanatory variable A...
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week 7 data dive
Reading Ball by ball Data set my_data <- read.csv('C:/Users/dell/Downloads/Ball_By_Ball.csv') summary(my_data) ## MatcH_id Over_id Ball_id Innings_No ## Min. : 335987 Min. : 1.00 Min. :1.000 Min. :1.000 ## 1st Qu.: 419154 1st Qu.: 5.00 1st Qu.:2.000 1st Qu.:1.000 ## Median : 548382 Med...
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Week 6 data dive
R Markdown This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com. When you click the Knit button a document will be generated that includes both content as well as the output of any embedded R code chunks within...
5551 sym R (16246 sym/19 pcs) 3 img
Week5
R Markdown This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com. When you click the Knit button a document will be generated that includes both content as well as the output of any embedded R code chunks within...
6581 sym R (9146 sym/9 pcs) 3 img
week 4 data dive
Read the CSV file my_data <- read.csv('C:/Users/dell/Downloads/Ball_By_Ball.csv') summary(my_data) ## MatcH_id Over_id Ball_id Innings_No ## Min. : 335987 Min. : 1.00 Min. :1.000 Min. :1.000 ## 1st Qu.: 419154 1st Qu.: 5.00 1st Qu.:2.000 1st Qu.:1.000 ## Median : 548382 Median :10.00 ...
8889 sym R (27545 sym/15 pcs) 3 img
week 4 datadive
Read the CSV file my_data <- read.csv('C:/Users/dell/Downloads/Ball_By_Ball.csv') summary(my_data) ## MatcH_id Over_id Ball_id Innings_No ## Min. : 335987 Min. : 1.00 Min. :1.000 Min. :1.000 ## 1st Qu.: 419154 1st Qu.: 5.00 1st Qu.:2.000 1st Qu.:1.000 ## Median : 548382 Median :10.00 ...
7078 sym R (27545 sym/15 pcs) 3 img
Week_3 datadive
R Markdown # Read the CSV file my_data <- read.csv('C:/Users/dell/Downloads/Ball_By_Ball.csv') summary(my_data) ## MatcH_id Over_id Ball_id Innings_No ## Min. : 335987 Min. : 1.00 Min. :1.000 Min. :1.000 ## 1st Qu.: 419154 1st Qu.: 5.00 1st Qu.:2.000 1st Qu.:1.000 ## Median : 548382 M...
805 sym R (24764 sym/28 pcs) 7 img
Sai Dheeraj Kanaparthi
# Read the CSV file data <- read.csv('C:/Users/dell/Downloads/complete_odi_data.csv') summary(data) ## X Player Span Mat ## Min. : 0 Length:2693 Length:2693 Min. : 1.0 ## 1st Qu.: 673 Class :character Class :character 1st Qu.: 3.0 ## Median :1346 Mode :...
160 sym R (305053 sym/20 pcs) 5 img
Sai Dheeraj Kanaparthi
Summary Statistics of each columns: # Read the CSV file data <- read.csv('C:/Users/dell/Downloads/complete_odi_data.csv') summary(data) ## X Player Span Mat ## Min. : 0 Length:2693 Length:2693 Min. : 1.0 ## 1st Qu.: 673 Class :character Class :character 1st Qu....
983 sym R (305053 sym/20 pcs) 5 img