Category:Data analysis

D

• Data scientists‎ (2 C, 77 P)

F

• Financial data analysis‎ (5 C, 16 P)
• Forecasting‎ (8 C, 27 P)

J

• Data journalism‎ (5 C, 25 P)
• Data journalists‎ (10 P)

M

• Data mining‎ (9 C, 65 P)

N

• Network analyzers‎ (5 C, 82 P)

P

• Predictive analytics‎ (9 P)

S

• Data analysis software‎ (3 C, 100 P)
• Spatial analysis‎ (3 C, 59 P)
• Statistical analysis‎ (9 C, 21 P)

T

• Text mining‎ (5 P)

• Data analysis

*

• Causal analysis

A

• Ads.txt
• Augmented Analytics

B

• Big data

C

• Collocation (remote sensing)
• Combinatorial data analysis
• Continuous analytics
• Cosine similarity

D

• Dark data
• Data analysis techniques for fraud detection
• Data exploration
• Data farming
• Data fusion
• Data profiling
• Data science
• Data-informed decision-making
• DataOps
• Directional-change intrinsic time
• DOACROSS parallelism
• Document-oriented database
• Double mass analysis
• Drift (data science)

E

• Error level analysis

F

• Facet theory
• Feature engineering

G

• Geographic analytics

H

• Health care analytics

I

• Iconography of correlations
• Item tree analysis

K

• Key–value database

L

• L1-norm principal component analysis

M

• Mathematical Biosciences Institute
• Meter data management
• Multi-model database
• Multiway data analysis

N

• Negative testing
• NoSQL

O

• Open coding
• Open Data Indices
• OPeNDAP
• Operational analytical processing

P

• Photoanalysis
• Pivot table
• Post hoc analysis

Q

• Qualitative comparative analysis

R

• Random mapping

S

• Semblance analysis
• Sequence analysis in social sciences
• Seriation (statistics)
• Single-particle trajectory
• Social media mining
• Symbolic data analysis

T

• Task Force on Process Mining
• Topological data analysis
• Twyman's law

U

• Unicity (data analysis)

V

• Visual inspection