Publications by Cornelius Tanui
M-Pesa Transactions
M Pesa Transactions This is a descriptive time-series analysis of deposits and withdrawals made since 3/5/2019 to 3/5/2020.The data is obtained from Safaricom.co.ke statements. library(tidyverse) library(readxl) library(esquisse) dir() # Check items in the currect directory ## [1] "M-Pesa-Transactions-Analysis.Rmd" ...
185 sym R (2936 sym/8 pcs) 1 img
Malawi Zindi Challenge
Setting Directory setwd("D:\\Data Science\\Hackathons\\Zindi\\Flood Prediction in Malawi") getwd() ## [1] "D:/Data Science/Hackathons/Zindi/Flood Prediction in Malawi" Loading Packages library(dplyr) library(tidyr) library(stringr) library(ggplot2) library(jmv) library(tseries) library(forecast) library(caret) library(e1071) library(l...
839 sym R (6659 sym/22 pcs) 5 img
Random Forest Approach to Titanic Problem
Preview of The Problem We want to build a RF model that classifies passengers of the Titanic ship that sunk in 1912 as having survived or not based on a number of predictors (features). This is a Kaggle begginer challenge. Both test and train datasets are obtained here. Loading Packages rm(list = ls(all.names = TRUE)) library(dplyr) # ...
2486 sym R (8007 sym/32 pcs) 3 img
Modelling CPI Using ARIMA(p,d,q)
1) Why CPI is Time Series Consumer Price Index (CPI) is defined as a measure of the weighted aggregate change in retail prices paid by consumers for a given basket of goods and services. The CPI is a statistical indicator of changes in consumer prices experienced by citizens of a country. It is a measure of comparing the cost of a fixed basket (2...
9234 sym R (5616 sym/28 pcs) 13 img
Time Series Analysis
_____________________________________________________________________________ title: “Time Series Analysis” author: “Cornelius Tanui” date: “January 19, 2020” output: html_document #_____________________________________________________________________________ ___________________________________________________________________________...
1640 sym R (3340 sym/31 pcs) 10 img
Exploratory Data Analysis
LOADING PACKAGES library(dplyr) ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:base': ## ## intersect, setdiff, setequal, union library(ggplot2) library(ggpubr) ## Loading required package: magrittr library(rstatix) ## ...
147 sym R (5528 sym/18 pcs) 7 img
Classification Problems
Introductory R Class for AMREC This class is a continuation of the last one we had on introduction to R for Amrec. We will be using markdown in this training. Below are knitr options: - include = FALSE prevents code and results from appearing in the finished file. R Markdown still runs the code in the chunk, and the results can be used by other ...
2735 sym R (21162 sym/65 pcs) 15 img
Animated Plots
Collect garbage and disable graphics, and clear environment :– gc() ## used (Mb) gc trigger (Mb) max used (Mb) ## Ncells 456311 24.4 981921 52.5 643648 34.4 ## Vcells 822689 6.3 8388608 64.0 1648779 12.6 graphics.off() rm(list = ls(all.names = TRUE)) Load required libraries # load Packages library(tidyverse) # for data...
598 sym R (4337 sym/15 pcs) 1 img 2 tbl
test2
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 t...
593 sym R (268 sym/2 pcs) 1 img
plotly
Shiny Plots with Flexdashboard Cornelius Tanui — 7/8/2021 Data This project demondstats how to built different graphs using Shiny and Plotly. The data is datasets::mtcars which is given as below; Dashboard Graphs --- title: "Shiny Plots with Flexdashboard" author: "Cornelius Tanui" output: flexdashboard::flex_dashboard: ...
268 sym R (835 sym/1 pcs) 1 img