語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
到查詢結果
[ subject:"Data mining- Computer programs." ]
切換:
標籤
|
MARC模式
|
ISBD
Extending Power BI with Python and R...
~
Zavarella, Luca.
FindBook
Google Book
Amazon
博客來
Extending Power BI with Python and R : = ingest, transform, enrich and visualize data using the power of analytic languages /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Extending Power BI with Python and R :/ Luca Zavarella.
其他題名:
ingest, transform, enrich and visualize data using the power of analytic languages /
作者:
Zavarella, Luca.
出版者:
Birmingham, UK :Packt Publishing, : c2021.,
面頁冊數:
xix, 537 p. :ill. ;24 cm.
標題:
Information visualization - Computer programs. -
ISBN:
9781801078207
Extending Power BI with Python and R : = ingest, transform, enrich and visualize data using the power of analytic languages /
Zavarella, Luca.
Extending Power BI with Python and R :
ingest, transform, enrich and visualize data using the power of analytic languages /Luca Zavarella. - 1st ed. - Birmingham, UK :Packt Publishing,c2021. - xix, 537 p. :ill. ;24 cm.
Includes bibliographical references and index.
Perform more advanced analysis and manipulation of your data beyond what Power BI can do to unlock valuable insights using Python and R Key Features Get the most out of Python and R with Power BI by implementing non-trivial code Leverage the toolset of Python and R chunks to inject scripts into your Power BI dashboards Implement new techniques for ingesting, enriching, and visualizing data with Python and R in Power BI Book Description Python and R allow you to extend Power BI capabilities to simplify ingestion and transformation activities, enhance dashboards, and highlight insights. With this book, you'll be able to make your artifacts far more interesting and rich in insights using analytical languages. You'll start by learning how to configure your Power BI environment to use your Python and R scripts. The book then explores data ingestion and data transformation extensions, and advances to focus on data augmentation and data visualization. You'll understand how to import data from external sources and transform them using complex algorithms. The book helps you implement personal data de-identification methods such as pseudonymization, anonymization, and masking in Power BI. You'll be able to call external APIs to enrich your data much more quickly using Python programming and R programming. Later, you'll learn advanced Python and R techniques to perform in-depth analysis and extract valuable information using statistics and machine learning. You'll also understand the main statistical features of datasets by plotting multiple visual graphs in the process of creating a machine learning model. By the end of this book, you'll be able to enrich your Power BI data models and visualizations using complex algorithms in Python and R. What you will learn Discover best practices for using Python and R in Power BI products Use Python and R to perform complex data manipulations in Power BI Apply data anonymization and data pseudonymization in Power BI Log data and load large datasets in Power BI using Python and R Enrich your Power BI dashboards using external APIs and machine learning models Extract insights from your data using linear optimization and other algorithms Handle outliers and missing values for multivariate and time-series data Create any visualization, as complex as you want, using R scripts Who this book is for This book is for business analysts, business intelligence professionals, and data scientists who already use Microsoft Power.
ISBN: 9781801078207US25.99Subjects--Topical Terms:
1374878
Information visualization
--Computer programs.
LC Class. No.: QA76.9.I52 / Z38 2021
Dewey Class. No.: 001.4/226028566
Extending Power BI with Python and R : = ingest, transform, enrich and visualize data using the power of analytic languages /
LDR
:03142cam a2200181 a 4500
001
2288454
008
220915s2021 enka g b 001 0 eng d
020
$a
9781801078207
$q
(pbk.) :
$c
US25.99
020
$a
1801078203
035
$a
(OCoLC)1290493388
040
$a
TOH
$b
eng
$c
TOH
$d
OCLCO
$d
ORMDA
050
# 4
$a
QA76.9.I52
$b
Z38 2021
082
0 4
$a
001.4/226028566
$2
23
100
1
$a
Zavarella, Luca.
$3
3578655
245
1 0
$a
Extending Power BI with Python and R :
$b
ingest, transform, enrich and visualize data using the power of analytic languages /
$c
Luca Zavarella.
250
$a
1st ed.
260
#
$a
Birmingham, UK :
$b
Packt Publishing,
$c
c2021.
300
$a
xix, 537 p. :
$b
ill. ;
$c
24 cm.
504
$a
Includes bibliographical references and index.
520
#
$a
Perform more advanced analysis and manipulation of your data beyond what Power BI can do to unlock valuable insights using Python and R Key Features Get the most out of Python and R with Power BI by implementing non-trivial code Leverage the toolset of Python and R chunks to inject scripts into your Power BI dashboards Implement new techniques for ingesting, enriching, and visualizing data with Python and R in Power BI Book Description Python and R allow you to extend Power BI capabilities to simplify ingestion and transformation activities, enhance dashboards, and highlight insights. With this book, you'll be able to make your artifacts far more interesting and rich in insights using analytical languages. You'll start by learning how to configure your Power BI environment to use your Python and R scripts. The book then explores data ingestion and data transformation extensions, and advances to focus on data augmentation and data visualization. You'll understand how to import data from external sources and transform them using complex algorithms. The book helps you implement personal data de-identification methods such as pseudonymization, anonymization, and masking in Power BI. You'll be able to call external APIs to enrich your data much more quickly using Python programming and R programming. Later, you'll learn advanced Python and R techniques to perform in-depth analysis and extract valuable information using statistics and machine learning. You'll also understand the main statistical features of datasets by plotting multiple visual graphs in the process of creating a machine learning model. By the end of this book, you'll be able to enrich your Power BI data models and visualizations using complex algorithms in Python and R. What you will learn Discover best practices for using Python and R in Power BI products Use Python and R to perform complex data manipulations in Power BI Apply data anonymization and data pseudonymization in Power BI Log data and load large datasets in Power BI using Python and R Enrich your Power BI dashboards using external APIs and machine learning models Extract insights from your data using linear optimization and other algorithms Handle outliers and missing values for multivariate and time-series data Create any visualization, as complex as you want, using R scripts Who this book is for This book is for business analysts, business intelligence professionals, and data scientists who already use Microsoft Power.
650
# 0
$a
Information visualization
$x
Computer programs.
$3
1374878
650
# 0
$a
Visual analytics
$x
Data processing.
$3
3578656
650
# 0
$a
Data mining
$x
Computer programs.
$3
812286
650
# 0
$a
Business intelligence
$x
Computer programs.
$3
812285
650
# 0
$a
R (Computer program language)
$3
784593
650
# 0
$a
Python (Computer program language)
$3
729789
筆 0 讀者評論
採購/卷期登收資訊
壽豐校區(SF Campus)
-
最近登收卷期:
1 (2022/11/22)
明細
館藏地:
全部
六樓西文書區HC-Z(6F Western Language Books)
出版年:
卷號:
館藏
2 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W0074237
六樓西文書區HC-Z(6F Western Language Books)
01.外借(書)_YB
一般圖書
QA76.9.I52 Z38 2021
一般使用(Normal)
在架
0
預約
W0074238
六樓西文書區HC-Z(6F Western Language Books)
01.外借(書)_YB
一般圖書
QA76.9.I52 Z38 2021
一般使用(Normal)
在架
0
預約
2 筆 • 頁數 1 •
1
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入