# Data analysis

**data analyticsanalysisdata analystanalyzedata interpretationanalysis dataanalysis of dataanalyze datadata analystsanalyse data**

Data analysis is a process of inspecting, cleansing, transforming and modeling data with the goal of discovering useful information, informing conclusion and supporting decision-making.wikipedia

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### Business intelligence

**BIBusiness Intelligence (BI)Business discovery**

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.

Business intelligence (BI) comprises the strategies and technologies used by enterprises for the data analysis of business information.

### Exploratory data analysis

**explorative data analysisexploratorydata analysis**

In statistical applications, data analysis can be divided into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA).

In statistics, exploratory data analysis (EDA) is an approach to analyzing data sets to summarize their main characteristics, often with visual methods.

### Data mining

**data-miningdataminingknowledge discovery in databases**

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.

Often the more general terms (large scale) data analysis and analytics – or, when referring to actual methods, artificial intelligence and machine learning – are more appropriate.

### Data

**statistical datascientific datadatum**

Data analysis is a process of inspecting, cleansing, transforming and modeling data with the goal of discovering useful information, informing conclusion and supporting decision-making.

Data is measured, collected and reported, and analyzed, whereupon it can be visualized using graphs, images or other analysis tools.

### Statistical inference

**inferential statisticsinferenceinferences**

Inferential statistics includes techniques to measure relationships between particular variables.

Statistical inference is the process of using data analysis to deduce properties of an underlying probability distribution.

### Orange (software)

**OrangeOrange data mining**

It features a visual programming front-end for explorative data analysis and interactive data visualization.

### CERN

**European Organization for Nuclear ResearchEuropean Organization for Nuclear Research (CERN)European Laboratory for Particle Physics**

The main site at Meyrin hosts a large computing facility, which is primarily used to store and analyse data from experiments, as well as simulate events.

### R (programming language)

**RR programming languageCRAN**

The R language is widely used among statisticians and data miners for developing statistical software and data analysis.

### ROOT

**ROOT Sports**

It was originally designed for particle physics data analysis and contains several features specific to this field, but it is also used in other applications such as astronomy and data mining.

### Big data

**big data analyticsbig data analysisbig-data**

Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source.

### LTPP Data Analysis Contest

**LTPP International Data Analysis Contest**

The LTPP International Data Analysis Contest or the LTPP Data Analysis Contest is an annual international data analysis contest held by the American Society of Civil Engineers and Federal Highway Administration.

### Missing data

**missing valuesmissing at randomincomplete data**

Some data analysis techniques are not robust to missingness, and require to "fill in", or impute the missing data.

### Data science

**data scientistdata scientistsdata-driven**

Data science is a "concept to unify statistics, data analysis, machine learning and their related methods" in order to "understand and analyze actual phenomena" with data.

### Data visualization

**visualizationData Presentation Architecturedata visualisation**

Data integration is a precursor to data analysis, and data analysis is closely linked to data visualization and data dissemination.

It is one of the steps in data analysis or data science.

### Dimensionality reduction

**dimension reductionreduce the dimensionalitydimensional reduction**

Data analysis such as regression or classification can be done in the reduced space more accurately than in the original space.

### Numeracy

**Mathematical Literacyinnumeracyinnumerate**

However, audiences may not have such literacy with numbers or numeracy; they are said to be innumerate.

At the same time, their data analysis reveals that these differences as well as within country inequality decreased over time.

### Analytics

**data analyticsanalyticadvanced analytics**

Data analytics is a multidisciplinary field.

### Outlier

**outliersstatistical outliersconservative estimate**

If a data point (or points) is excluded from the data analysis, this should be clearly stated on any subsequent report.

### Financial statement analysis

**Financial Analysisanalysisfinancial research**

For example, when analysts perform financial statement analysis, they will often recast the financial statements under different assumptions to help arrive at an estimate of future cash flow, which they then discount to present value based on some interest rate, to determine the valuation of the company or its stock.

### Structured data analysis (statistics)

**Structured DataStructured data analysis**

### Data blending

**blendblended datamultisource analysis**

Data blending has been described as different to data integration due to the requirements of data analysts to merge sources very quickly, too quickly for any practical intervention by data scientists.

### Richard Veryard

**Enterprise Modelling Methodology/Open Distributed Processing**

In "Pragmatic data analysis" (1984) Veryard presented data analysis as a branch of systems analysis, which shared the same principles.

### Censoring (statistics)

**censoringcensoredcensored data**

### American Society of Civil Engineers

**ASCEAmerican Society of Civil Engineers and ArchitectsAmerican Society of Civil Engineers (ASCE)**

The LTPP International Data Analysis Contest is an annual data analysis contest held by the ASCE in collaboration with the Federal Highway Administration (FHWA).