Publications by Sashank
INFO-H510 Week 6 Data Dive
INFO-H510 Week 6 Data Dive Continuous columns in the data set are - Age, Balance, Estimated Salary, Credit Score, Tenure, No. Of Products. library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.4 ✔ readr 2.1.4 ## �...
2443 sym R (3310 sym/24 pcs) 3 img
INFO-H510 Week 5 Data Dive
INFO-H510 Week 5 Data Dive The columns in the data set are - Geography, Gender, HasCrCard, IsActiveMember, Exited, Age, Balance, Estimated Salary, Credit Score, Tenure, No. Of Products The column names that felt ambiguous before reading the documentation were - HasCrCard, HasCrCard Although, there is high likelihood of the column meaning that it...
5234 sym R (2038 sym/9 pcs) 1 img
INFO H-510 Week 4
library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.4 ✔ readr 2.1.4 ## ✔ forcats 1.0.0 ✔ stringr 1.5.1 ## ✔ ggplot2 3.4.4 ✔ tibble 3.2.1 ## ✔ lubridate 1.9.3 ✔ tidyr 1.3.0 ## ...
2116 sym R (9505 sym/17 pcs)
INFO H-510 Week 3
INFO-H510 Week 3 Data Dive library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.4 ✔ readr 2.1.4 ## ✔ forcats 1.0.0 ✔ stringr 1.5.1 ## ✔ ggplot2 3.4.4 ✔ tibble 3.2.1 ## ✔ lubridate 1.9.3 ...
2271 sym R (14523 sym/41 pcs) 8 img
INFO H-510 Week 2
INFO-H510 Week 2 Data Dive This dataset holds crucial information regarding bank customer churn, offering insights into the dynamics of customer retention and attrition within the banking industry. The project’s objective is to analyze this data, unveiling patterns and trends using statistical tools. This week, the goal is to perform basic data a...
3332 sym R (4781 sym/25 pcs) 3 img