Data analysis
Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively.
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- enData analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively.
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- Has abstract
- enData analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively. Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. In statistical applications, data analysis can be divided into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA). EDA focuses on discovering new features in the data while CDA focuses on confirming or falsifying existing hypotheses. Predictive analytics focuses on the application of statistical models for predictive forecasting or classification, while text analytics applies statistical, linguistic, and structural techniques to extract and classify information from textual sources, a species of unstructured data. All of the above are varieties of data analysis. Data integration is a precursor to data analysis, and data analysis is closely linked to data visualization and data dissemination.
- Hypernym
- Process
- Is primary topic of
- Data analysis
- Label
- enData analysis
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- www.itl.nist.gov/div898/handbook/
- www.erim.eur.nl/centres/necessary-condition-analysis/
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- Actuarial science
- Adèr, H.J.
- Algorithms
- Analytics
- ASCE
- Bar chart
- Bifurcation theory
- Big data
- Bonferroni correction
- Bootstrapping (statistics)
- Bush tax cuts
- Business intelligence
- Cartogram
- Category:Big data
- Category:Computational fields of study
- Category:Data analysis
- Category:Data management
- Category:Data processing
- Category:Scientific method
- Causality
- Censoring (statistics)
- CERN
- Chaos theory
- Cognitive bias
- Collectively exhaustive events
- Common-method variance
- Computational physics
- Computational science
- Confirmation bias
- Congressional Budget Office
- Contextualization (computer science)
- Correlation and dependence
- Cronbach's alpha
- Cross-industry standard process for data mining
- Cross-validation (statistics)
- Daniel Patrick Moynihan
- Data
- Data acquisition
- Data and information visualization
- Data blending
- Data cleansing
- Data custodian
- Data governance
- Data integration
- Data mining
- Data model
- Data modeling
- Data Presentation Architecture
- Data science
- Data system
- Data transformation
- Data transformation (statistics)
- Data visualization
- Descriptive statistics
- DevInfo
- Digital signal processing
- Dimensionality reduction
- Dropout (electronics)
- DuPont analysis
- Early case assessment
- Education
- ELKI
- Exploratory data analysis
- Fact
- FHWA
- File:Data visualization process v1.png
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- File:Social Network Analysis Visualization.png
- File:Total Revenues and Outlays as Percent GDP 2013.png
- File:U.S. Phillips Curve 2000 to 2013.png
- File:US Employment Statistics - March 2015.png
- File:User-activities.png
- Financial statement analysis
- Fourier analysis
- Gideon J. Mellenbergh
- Harmonics
- Histogram
- Hypotheses
- Hypothesis testing
- Imputation (statistics)
- Inferential statistics
- Information displays
- Information systems technician
- Interactive data visualization
- Internal consistency
- Iteration
- John Tukey
- Julia (programming language)
- Kaggle
- KNIME
- Line chart
- List of big data companies
- LTPP International Data Analysis Contest
- Machine learning
- Manipulation check
- McKinsey and Company
- Measuring instrument
- MECE principle
- Median
- Missing data
- Multilinear principal component analysis
- Multilinear subspace learning
- Multiway data analysis
- Mutually exclusive events
- Nearest neighbor search
- Nonlinear system
- Nonlinear system identification
- Normal distribution
- Numeracy
- Opinion
- Orange (software)
- Outlier
- Over-the-counter data
- Pandas (software)
- Panel data
- Phillips Curve
- Physics Analysis Workstation
- Pie chart
- Predictive analytics
- Principal component analysis
- Probability distribution
- Process theory
- Propensity score matching
- Qualitative research
- R (programming language)
- Randomization
- Raw data
- Regression analysis
- Reliability (statistics)
- Residual bit error rate
- Response rate (survey)
- Richards Heuer
- Richard Veryard
- ROOT
- Scatter plot
- SciPy
- Sensitivity analysis
- Standard deviation
- Statistical hypothesis testing
- Statistical model validation
- Statistical unit
- Structured data analysis (statistics)
- Subharmonics
- System identification
- Table (information)
- Test method
- Text analytics
- Text mining
- Type 1 error
- Type I and type II errors
- United Nations Development Group
- Unstructured data
- Wavelet
- Quote
- enYou are entitled to your own opinion, but you are not entitled to your own facts.
- SameAs
- 4123037-1
- Adatelemzés
- Análise de dados
- Anàlisi de dades
- Analisi dei dati
- Analisis data
- Analisis data
- Análisis de datos
- Analiza danych
- Analiza datelor
- Analiza podataka
- Analyse des données
- Analýza dat
- Andmeanalüüs
- Dadansoddi data
- Data-analyysi
- Datenanalyse
- Datuma analitiko
- m.07zy4y
- Maʼlumotlarni tahlil qilish
- Phân tích dữ liệu
- Q1988917
- tyxB
- Veri analizi
- Анализ данных
- Аналіз даних
- ניתוח מידע
- تحليل بيانات
- تحلیل دادهها
- شیکاریی دراوە
- डेटा विश्लेषण
- தரவு பகுப்பாய்வு
- ಮಾಹಿತಿ ವಿಶ್ಲೇಷಣೆ
- දත්ත විශ්ලේෂණය
- การวิเคราะห์ข้อมูล
- データ解析
- 数据分析
- 데이터 분석
- SeeAlso
- Problem solving
- Source
- Daniel Patrick Moynihan
- Subject
- Category:Big data
- Category:Computational fields of study
- Category:Data analysis
- Category:Data management
- Category:Data processing
- Category:Scientific method
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- Wikipage page ID
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- Wikipage revision ID
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