Ads
related to: easy datasets to analyze in spss software- Start JMP® Free Trial
Download a Free 30 Day Trial
See If JMP® is Right for You Now
- Buy JMP® Software
Choose Personal or Corporate Use
Get More Out of Your Data
- Pharma & Biotech Industry
For R&D, Process Development & More
For Bench Scientists & Researchers
- JMP® Software Overview
See The Core Capabilities of JMP®
Visual, Interactive Software
- Which JMP® is for You?
Review Expanded Versions of JMP®
Pro, Clinical, & Standard
- Semiconductor Industry
For Yield, Quality, & Reliability
For Process & Equipment Engineering
- Start JMP® Free Trial
Search results
Results From The WOW.Com Content Network
IBM SPSS Modeler is a data mining and text analytics software application from IBM. It is used to build predictive models and conduct other analytic tasks. It has a visual interface which allows users to leverage statistical and data mining algorithms without programming.
This is a list of statistical procedures which can be used for the analysis of categorical data, also known as data on the nominal scale and as categorical variables. General tests [ edit ]
SPSS Statistics is a statistical software suite developed by IBM for data management, advanced analytics, multivariate analysis, business intelligence, and criminal investigation. Long produced by SPSS Inc. , it was acquired by IBM in 2009.
Pandas – High-performance computing (HPC) data structures and data analysis tools for Python in Python and Cython (statsmodels, scikit-learn) Perl Data Language – Scientific computing with Perl; Ploticus – software for generating a variety of graphs from raw data; PSPP – A free software alternative to IBM SPSS Statistics
It is designed to be easy to use, and familiar to users of SPSS. It offers standard analysis procedures in both their classical and Bayesian form . [ 3 ] [ 4 ] JASP generally produces APA style results tables and plots to ease publication.
Exploratory data analysis is an analysis technique to analyze and investigate the data set and summarize the main characteristics of the dataset. Main advantage of EDA is providing the data visualization of data after conducting the analysis.
DAP – open source software; Data analysis; Data assimilation; Data binning; Data classification (business intelligence) Data cleansing; Data clustering; Data collection; Data Desk – software; Data dredging; Data fusion; Data generating process; Data mining; Data reduction; Data point; Data quality assurance; Data set; Data-snooping bias ...
The four datasets composing Anscombe's quartet. All four sets have identical statistical parameters, but the graphs show them to be considerably different. Anscombe's quartet comprises four datasets that have nearly identical simple descriptive statistics, yet have very different distributions and appear very different when graphed.
Ad
related to: easy datasets to analyze in spss software