Getting started with Haskell data analysis : put your data analysis techniques to work and generate publication-ready visualizations

Getting started with Haskell data analysis : put your data analysis techniques to work and generate publication-ready visualizations

Enregistré dans:

Détails bibliographiques
Auteur principal:	Church, James (1982-....). (Auteur)
Support:	E-Book
Langue:	Anglais
Publié:	Birmingham : Packt Publishing, 2018.
Autres localisations:	Voir dans le Sudoc
Accès en ligne:	Accès à l'E-book

Documents similaires

Haskell data analysis cookbook : explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes
par: Shukla, Nishant.
Publié: (2014)

Getting started with Python data analysis : learn to use powerful Python libraries for effective data processing and analysis
par: Vo.t.h, Phuong.
Publié: (2015)

Getting Started with DuckDB : A practical guide for accelerating your data science, data analytics, and data engineering workflows
par: Aubury, Simon.

Excel data analysis : your visual blueprint for creating and analyzing data, charts and PivotTables
par: Etheridge, Denise.
Publié: (2010)

Cluster analysis and data analysis
par: Jambu, Michel, 1944-
Publié: (1983)

Data Analysis with Excel : Tips and tricks to kick start your excel skills
par: Nigam, Manisha.

Kibana 8.x - A Quick Start Guide to Data Analysis : Learn about data exploration, visualization, and dashboard building with Kibana
par: Shah, Krishna.

Getting started with Tableau 2018.x : get up and running with the new features of Tableau 2018 for impactful data visualization
par: Guillevin, Tristan.
Publié: (2018)

Hands-On Data Analysis with Pandas : A Python data science handbook for data collection, wrangling, analysis, and visualization
par: Molin, Stefanie.
Publié: (2021)

Getting started with Oracle data integrator 11g : a hands-on tutorial
Publié: (2012)

Getting started with Hazelcast : get acquainted with the highly scalable data grid, Hazelcast, and learn how to bring its powerful in-memory features into your application
par: Johns, Mat.
Publié: (2015)

Asteroseismic Data Analysis : Foundations and Techniques
par: Basu, Sarbani.
Publié: (2017)

Data analysis with R : a comprehensive guide to manipulating, analyzing, and visualizing data in R
par: Fischetti, Tony.
Publié: (2018)

Getting started with Python : understand key data structures and use Python in object-oriented programming
par: Romano, Fabrizio (1975-....).
Publié: (2019)

Getting started with Talend Open Studio for data integration : develop system integrations with speed and quality using Talend Open Studio for Data Integration
par: Bowen, Jonathan Peter (1956-....).
Publié: (2012)

Data analysis in the cloud : models, techniques and applications
par: Talia, Domenico (19..-....).
Publié: (2015)

R data analysis projects : build end to end analytics systems to get deeper insights from your data
par: Subramanian, Gopi.
Publié: (2017)

Python Data Analysis : Perform data collection, data processing, wrangling, visualization, and model building using Python
par: Navlani, Avinash.
Publié: (2021)

Instant JQuery flot visual data analysis
par: Peiris, Brian.
Publié: (2013)

Analysis of qualitative data.
par: Haberman, S.-J.
Publié: (1978)

Analysis of qualitative data.
par: Haberman, S.-J.
Publié: (1979)

Categorical Data Analysis
par: Agresti, Alan, 1947-
Publié: (1990)

Bayesian Data Analysis
par: Gelman, Andrew (1965-....).

Python data analysis
par: Fandango, Armando.
Publié: (2017)

Practical Data Analysis
par: Cuesta, Hector.
Publié: (2016)

Data Analysis with R
par: Fischetti, Tony.
Publié: (2015)

Data analysis with Stata
par: Kothari, Prasad.
Publié: (2015)

Java data analysis
par: Hubbard, John Rast (1943-....).
Publié: (2017)

Hands-On SAS for Data Analysis : A practical guide to performing eﬀective queries, data visualization, and reporting techniques
par: Gulati, Harish (1967-....).
Publié: (2019)

Data Analysis Foundations with Python : Master Data Analysis with Python: From Basics to Advanced Techniques

Exploratory data analysis.
par: Tukey, John W.
Publié: (1977)

Hands-On Data Analysis with Scala : Perform data collection, processing, manipulation, and visualization with Scala
par: Gupta, Rajesh K..
Publié: (2019)

Functional data analysis with R and MATLAB
par: Ramsay, James O.
Publié: (2009)

Hands-on Data Analysis and Visualization with Pandas : Engineer, Analyse and Visualize Data, Using Powerful Python Libraries
par: Chander Rao, Purna Kathula.

Getting started with Greenplum for big data analytics : a hands-on guide on how to execute an analytics project from conceptualization to operationalization using Greenplum
par: Gollapudi, Sunila.
Publié: (2013)

Getting started with Ghost
par: Bracey, Kezz.
Publié: (2014)

Getting started with tmux
par: J.d., Victor Quinn.
Publié: (2014)

Getting Started with Hazelcast
par: Johns, Mat.
Publié: (2013)

Getting started with Terraform
par: Shirinkin, Kirill.
Publié: (2017)

Getting started with Simulink
par: Zamboni, Luca.
Publié: (2013)

Université catholique de l'Ouest - Bibliothèques - 3 place André Leroy - BP10808 - 49008 ANGERS Cedex 1