Publications by birasafab
code that generated rwandan map
# Load and prepare data ---------- # Read in GCNP boundaries dsn = unzip("D:/birasafab overall/Downloads/rwa_adm_2006_nisr_wgs1984_20181002_shp.zip") data <- st_read(dsn[30]) ## Reading layer `rwa_adm3_2006_NISR_WGS1984_20181002' from data source ## `C:\Users\fabrice.birasa\Documents\My files\Learning\R learning\Creating 3D maps\rwa_adm3...
56 sym Python (1037 sym/3 pcs) 1 img
my First Document
0.1 The Contents of this book were drawn from the book R FOR DATA SCIENCE BY HADDLE. 1 Finally these pictures were inserted from twitter as the below R code knitr::include_graphics("https://pbs.twimg.com/profile_images/1051755261583601666/roHaL2s1_400x400.jpg") knitr::include_graphics("https://pbs.twimg.com/media/EsgTJ19XYAA99xD?format=jpg&name...
9591 sym R (13501 sym/161 pcs) 3 img
My Very First Publication
0.1 Introduction To include a literal single or double quote in a string you can use\ 0.2 Combining strings str_c("x","y") ## [1] "xy" Use the sep argument to control how they’re separated: str_c("x","y", "z", sep = ",") ## [1] "x,y,z" To combine multiple variables containing strings data x<- c("a","b","c") y<- c("d","e","f") str_c(x,y) ## [...
7425 sym R (4869 sym/73 pcs)
Draft analysis
Introduction This is the summary report on cells administrative data regarding ownership of cells office building, existence of rain water harvest system, electricity and internet connectivity, availability of public TV for community use, etc. For more details on how this report was generated, kindly visit the below link: https://github.com/biras...
1453 sym R (8214 sym/11 pcs)
Comparison of East African countries
Data analysis with Gapminder dataset gapminder_unfiltered %>% filter(country %in% c("Rwanda","Uganda", "Kenya","Burundi","Tanzania")) %>% ggplot(aes(gdpPercap, lifeExp, size = pop, colour = country)) + geom_point(alpha = 0.7, show.legend = TRUE) + scale_size(range = c(2, 12)) + scale_x_log10() + facet...
96 sym R (2751 sym/2 pcs) 2 img
visualization of East African countries data 1960-2020
Data analysis with Gapminder dataset Importing the data downloaded from Gapminder ...
93 sym 1 img
Codes used while learning R for data science
Part 1 : Explore Chapter 1: Data Visualization with ggplot 2 Learning how aesthetics mapping in ggplot2 work mpg %>% ggplot(aes(displ,hwy, color = fl))+ geom_point()+ facet_grid(drv~cyl) 4. Take the first faceted plot in this section: What are the advantages to using faceting instead of the color aesthetic? What are the disadvantages?...
5744 sym R (27078 sym/77 pcs) 24 img