Word document created from a template using R software and ReporteRs package
source : http://www.sthda.com/english/wiki/create-and-format-word-documents-using-r-software-and-reporters-package
Add plots and images to a word document using R software and ReporteRs packagekassambara
Add plots and images to a word dpcument using R software and ReporteRs package
Source : http://www.sthda.com/english/wiki/create-and-format-word-documents-using-r-software-and-reporters-package
Add a table of contents in a Word document using R software and ReporteRs pac...kassambara
Add a table of contents in a Word document using R software and ReporteRs package
source : http://www.sthda.com/english/wiki/create-and-format-word-documents-using-r-software-and-reporters-package
R is among the most popular programming languages among data science professionals. In this guide learn about the basic concepts and various functionalities it offers.
Add plots and images to a word document using R software and ReporteRs packagekassambara
Add plots and images to a word dpcument using R software and ReporteRs package
Source : http://www.sthda.com/english/wiki/create-and-format-word-documents-using-r-software-and-reporters-package
Add a table of contents in a Word document using R software and ReporteRs pac...kassambara
Add a table of contents in a Word document using R software and ReporteRs package
source : http://www.sthda.com/english/wiki/create-and-format-word-documents-using-r-software-and-reporters-package
R is among the most popular programming languages among data science professionals. In this guide learn about the basic concepts and various functionalities it offers.
What Is SAS | SAS Tutorial For Beginners | SAS Training | SAS Programming | E...Edureka!
This Edureka "What Is SAS" tutorial will help you get started with SAS. This tutorial will also introduce you to Data Analytics and SAS Programming concepts. Below are the topics covered in this tutorial:
1. Data Analytics
2. Data Analytical Tools
3. Why SAS?
4. What Is SAS?
5. SAS Framework
6. SAS Programming Concepts
7. SAS Applications
Multisoft Systems is a renowned training organization that focuses on providing quality training programs to the candidates. Their “Data Science with R” training program is designed for Data/Business Analysts and anyone who has an interest in the field of Data Science. You will learn to explore R data structures and syntaxes, work with data and transform them to fit your needs, create functions and use control flow, etc.
https://www.multisoftsystems.com
What Is SAS | SAS Tutorial For Beginners | SAS Training | SAS Programming | E...Edureka!
This Edureka "What Is SAS" tutorial will help you get started with SAS. This tutorial will also introduce you to Data Analytics and SAS Programming concepts. Below are the topics covered in this tutorial:
1. Data Analytics
2. Data Analytical Tools
3. Why SAS?
4. What Is SAS?
5. SAS Framework
6. SAS Programming Concepts
7. SAS Applications
Multisoft Systems is a renowned training organization that focuses on providing quality training programs to the candidates. Their “Data Science with R” training program is designed for Data/Business Analysts and anyone who has an interest in the field of Data Science. You will learn to explore R data structures and syntaxes, work with data and transform them to fit your needs, create functions and use control flow, etc.
https://www.multisoftsystems.com
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Adjusting OpenMP PageRank : SHORT REPORT / NOTESSubhajit Sahu
For massive graphs that fit in RAM, but not in GPU memory, it is possible to take
advantage of a shared memory system with multiple CPUs, each with multiple cores, to
accelerate pagerank computation. If the NUMA architecture of the system is properly taken
into account with good vertex partitioning, the speedup can be significant. To take steps in
this direction, experiments are conducted to implement pagerank in OpenMP using two
different approaches, uniform and hybrid. The uniform approach runs all primitives required
for pagerank in OpenMP mode (with multiple threads). On the other hand, the hybrid
approach runs certain primitives in sequential mode (i.e., sumAt, multiply).
Word document created from a template using R software and ReporteRs package
1. PHONE FAX WEB
[Street Address], [City], [State] [Postal Code] [Your Phone] [Your Fax] [Web Address]
STHDA – Statistical Tools for Data Analysis
R software and ReporteRs package
Create a nice Word document
2014/12/26
2. R software andReporteRs package 2
STHDA
Word document created from a template
Introduction
This Word document is created from a template usingR software and ReporteRs package.
Iris data sets
Sepal.Length Sepal.Width Petal.Length Petal.Width Species
5.1 3.5 1.4 0.2 setosa
4.9 3.0 1.4 0.2 setosa
4.7 3.2 1.3 0.2 setosa
4.6 3.1 1.5 0.2 setosa
5.0 3.6 1.4 0.2 setosa
5.4 3.9 1.7 0.4 setosa
4.6 3.4 1.4 0.3 setosa
5.0 3.4 1.5 0.2 setosa
4.4 2.9 1.4 0.2 setosa
4.9 3.1 1.5 0.1 setosa
Description of iris data sets
iris data setgives the measurements in centimeters of the variables sepal length and width and petal length and width, respectively,
for 50 flowers from each of 3 species of iris.The species areIris setosa,versicolor,and virginica.