Despite the existence of data analysis tools such as R, SQL, Excel and others, it is still insufficient to cope with today's big data analysis needs.
The author proposes a CUI (Character User Interface) toolset with dozens of functions to neatly handle tabular data in TSV (Tab Separated Values) files.
It implements many basic and useful functions that have not been implemented in existing software with each function borrowing the ideas of Unix philosophy and covering the most frequent pre-analysis tasks during the initial exploratory stage of data analysis projects.
Also, it greatly speeds up basic analysis tasks, such as drawing cross tables, Venn diagrams, etc., while existing software inevitably requires rather complicated programming and debugging processes for even these basic tasks.
Here, tabular data mainly means TSV (Tab-Separated Values) files as well as other CSV (Comma Separated Value)-type files which are all widely used for storing data and suitable for data analysis.
Customising user profiles in share point 2010Michal Pisarek
Having successfully configured user profile synchronization within SharePoint 2010 you may be left wondering what’s next? In this session we will go through the vast array of configuration options that are available such as:
• Creating custom user properties that can be applied to user profiles
• Creating User Sub-Types to have unique user profiles within an organization
• Creating a taxonomy of terms to be used with user profile properties
• Customizing User Profiles with additional links, pages and locations
Despite the existence of data analysis tools such as R, SQL, Excel and others, it is still insufficient to cope with today's big data analysis needs.
The author proposes a CUI (Character User Interface) toolset with dozens of functions to neatly handle tabular data in TSV (Tab Separated Values) files.
It implements many basic and useful functions that have not been implemented in existing software with each function borrowing the ideas of Unix philosophy and covering the most frequent pre-analysis tasks during the initial exploratory stage of data analysis projects.
Also, it greatly speeds up basic analysis tasks, such as drawing cross tables, Venn diagrams, etc., while existing software inevitably requires rather complicated programming and debugging processes for even these basic tasks.
Here, tabular data mainly means TSV (Tab-Separated Values) files as well as other CSV (Comma Separated Value)-type files which are all widely used for storing data and suitable for data analysis.
Customising user profiles in share point 2010Michal Pisarek
Having successfully configured user profile synchronization within SharePoint 2010 you may be left wondering what’s next? In this session we will go through the vast array of configuration options that are available such as:
• Creating custom user properties that can be applied to user profiles
• Creating User Sub-Types to have unique user profiles within an organization
• Creating a taxonomy of terms to be used with user profile properties
• Customizing User Profiles with additional links, pages and locations
Cuando tenemos que realizar una presentación o una exposición siempre nos surgen dudas, ¿qué hago? ¿y que no?. Aquí puedes conocer algunos consejos para llevar a cabo unas presentaciones que consigan captar la atención de tu público.
A business case explores all feasible approaches to a given problem and enables
business owners to select the option that best takes the organization forward. Its
purpose is to dene the parameters, risks and management factors involved within
the project. It can be considered as a tool for the project manager to guide the
design, management and evaluation of the project
Godrej 101 is a new residential project by Godrej Properties situated at new Golf Course Road in Gurgaon. It's a gated township model which aims to provide a comprehensive living-style spanning an array of activities that focus on music, Sports, fitness and dance. With a clubhouse and a sprawling 3 acre-land inside the premises, this project focuses on providing health-based amenities so that residents can have a fitness driven lifestyle.
Godrej 101 is a premium Residential project
Offered residential options at Godrej 101 are 2BHK and 3BHK flats. of different areas. attention to this blanditiis, ex cupiditate ipsam debitis rem.
Earthquake resistant RCC framed structure
hi-tech security provisions
mart card access and manned security
CCTV cameras, boom barriers
The master plan of the Godrej 101 includes a number of comfy and desirable amenities that collectively along with a great location promise a tranquil residential
5th International Disaster and Risk Conference IDRC 2014 Integrative Risk Management - The role of science, technology & practice 24-28 August 2014 in Davos, Switzerland
Grab your opportunity and take our training
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Common
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described by Project Management
Institute
(USA
)
Project
Management concepts / frame work
Class Schedule and Address
Training Dates:
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20th Dec,
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(Moonconf 2016) Fetching Moths from the Works: Correctness Methods in SoftwareBrian Troutwine
We live in a nice world. There’s a wealth of historical thought on achieving correctness in software–shipping code that does only what is intended, not less and not more–and there are a whole bunch of methods available to us as practitioners. Some of these are hard to apply, some are easy. For instance, case testing is widely used and considered standard practice. Property testing is understood to exist but not widely used. The application of advanced logics? Way out there.
If you look around you’ll find a lot of software fails a lot of the time. Why is that?
In this talk I’ll give an overview of the methods for producing correct systems and will discuss each in its historical context. With each method, we’ll keep an eye out for present applications and the difficulty of doing so. We’ll discuss why there’s so much buggy software in the world. I expect there will be talk of spaceships a bit. By the end of this talk you ought to be able to make reasoned decisions about applying correctness methods in your own work and have a good shot at building better software.
18. i. コンスタント作成(Excel作業)
データレイアウト付属の符号表(Excelファイル)を加
工して、 擬似ミクロデータを R に変数名を付加させな
がら読み込ませるための情報ファイル(コンスタント)
を作成
ii. コンスタント読込み ( R 作業)
iii. データファイル読込み( R 作業)
作業フォルダから複数あるデータファイルの名前を取
得し、データファイルを連結させながら読み込むと同時
に、コンスタントを用いて変数名や属性を指定する。
E-6. さらに楽をしよう!
• 変数名、漢字の項目名と、データが因子か数量かを区別
できる情報を持つ符号表を活用
• 複数のデータファイルの読み込みを自動化
18
35. i <- 5
while (i > 0){
print("Hello!")
i <- i - 1
}
繰り返し処理
• for
• while
35
for (i in 1:5) print("Hello")
nm1 <- c("Mio", "Ryo", "John", “Yuki", "Taro")
for (i in 1:5) {
print(paste("Hello, ", nm1[i], "!", sep="") )
}
36. 条件分岐
• if() else{}
• ifelse
36
b <- c <- 0
if (a > 0) {
b <- b + 1; print("a > 0")
} else {
c <- c + 1; print ("a <= 0")
}
outcome <- ifelse (score > 0.5, print("Passed"), print("Failed"))
40. 欠損値 NA(2)
40
> which(x1 == NA) # x1の値がNAであるデータ番号
integer(0) # ?????
> x1 == NA
[1] NA NA NA NA NA
NAに対する演算結果は全てNAで比較演算子
==も使えない
代わりに、is.na という特別な関数が用意されているみち
41. 関数 is.na()
41
> which(x1 == NA) #x1の値がNAであるデータ番号
integer(0) # 1つもない
> x1 == NA
[1] NA NA NA NA NA
> sum(x1)
[1] NA
NAに対する演算結果は全てNAで比較演算子
==も使えず、そのままでは合計も計算できない
代わりに、is.na という特別な関数が用意されているみち