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Climatic Data in Hydrological Analysis Climatic data such as temperature and precipitation are essential for any hydrological analysis. Usually, several years of data are required to do any type of hydrological analysis. The climatic data is obtained from either satellite-based observation or in situ observation. For hydrological analysis historical precipitation and temperature data is essential. Usually these data can be obtained from Indian Meterolgocal Department (भारतीय मौसम विज्ञान विभाग:IMD) free of cost....

SBI Submits all the data to ECI and ECI publish it on Thursday 21 Mar 2024, 6:32 PM Links of 2 files are provided here: Disclosure of Electoral Bonds Details of Electoral Bonds submitted by SBI on 21st March 2024 (EB_Redemption_Details) Details of Electoral Bonds submitted by SBI on 21st March 2024 (EB_Purchase_Details) To know the background of the case read this: SBI submits all electoral bond details, including unique numbers, to ECI...

HTML slides with Xaringan. Xaringan is an R package for creating slideshows with remark.js through R Markdown. …from https://github.com/yihui/xaringan The package name xaringan comes from Sharingan, a dōjutsu in Naruto with two abilities: the “Eye of Insight” and the “Eye of Hypnotism”. A presentation ninja should have these basic abilities, and I think remark.js may help you acquire these abilities, even if you are not a member of the Uchiha clan....

The main aim of this blog to show, how you can configure R, Python, and SQL in a single R-markdown file. Most of time we have to use data from databases and python code along with R functions, and having a setup that bring goodness of all the tool in one place comes really handy. Setup Python in Rstudio To set up R Python And SQL in the Rstudio you have to first install miniconda....

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. A few useful syntax are shown below in the post: 1. You can embed an R code chunk like this: summary(cars) ## speed dist ## Min. : 4.0 Min. : 2.00 ## 1st Qu.:12.0 1st Qu.: 26.00 ## Median :15....