Now you see it : simple visualization techniques for quantitative analysis /

Now you see it : simple visualization techniques for quantitative analysis /

Xehetasun bibliografikoak
Egile nagusia:	Few, Stephen
Formatua:	Liburua
Hizkuntza:	English
Argitaratua:	Oakland, Calif. : Analytics Press, c2009.
Gaiak:	Information visualization. Quantitative research. Statistics.
Classic Catalogue:	View this record in Classic Catalogue

Antzeko izenburuak

International Journal of Public Opinion Research

International Journal of Public Opinion Research

Beautiful visualization : looking at data through the eyes of experts /
nork: Steele, Julie
Argitaratua: (2010)

Ways of seeing /
Argitaratua: (1972)

Principles of quantitative chemical analysis /
nork: De Levie, Robert
Argitaratua: (1997)

Quantitative analysis of artificial sweeteners in soft drink samples
nork: Meghla, Yashna Tahjib
Argitaratua: (2018)

Statistical Principles for the Design of Experiments
nork: R. Mead, S. G. Gilmour, A. Mead
Argitaratua: (2012)

Measuring and Reasoning
nork: Fred L. Bookstein
Argitaratua: (2014)

Now see hear : applying communications to teaching /
nork: Abbey, David S. (David Samuel), 1934-
Argitaratua: (1973)

Compositional data analysis in practice /
nork: Greenacre, Michael J.
Argitaratua: (2019)

Data science & big data analytics : discovering, analyzing, visualizing, and presenting data /

Vogel's textbook of quantitative chemical analysis /

Visual methodologies : an introduction to researching with visual materials /
nork: Rose, Gillian, 1962-
Argitaratua: (2012)

See You Soon
nork: McKee

See You in the Streets
nork: Sergel

Importance of visual aids to motivate young learners
nork: Mokarrama, Nahiyan
Argitaratua: (2017)

Multivariate Analysis of Ecological Data using CANOCO 5
nork: Petr Šmilauer, Jan Lepš
Argitaratua: (2014)

Information systems for you /
nork: Doyle,Stephen
Argitaratua: (2002)

Detection and 3D visualization of Brain tumor using deep learning and polynomial interpolation
nork: Tuhin, Md. Akram Hossan, et al.
Argitaratua: (2019)

Mapping species distributions
nork: Janet Franklin
Argitaratua: (2012)

Visual explanations : images and quantities, evidence and narrative /
nork: Tufte, Edward R., 1942-
Argitaratua: (1997)

The system and efficiency of improving the auditing process in Bangladesh: a study on statutory audit
nork: Dutta, Priti
Argitaratua: (2024)

Research Evaluation

Heart failure risk prediction and medicine recommendation system using exploratory analysis and big data analytics
nork: Habib, Sumaya, et al.
Argitaratua: (2019)

Data visualization for design thinking : applied mapping /
nork: Newman, Winifred E.
Argitaratua: (2017)

Statistics for Anthropology
nork: Lorena Madrigal
Argitaratua: (2012)

Now You Know Palm Centro
nork: Ames

Enhanced ethnographic methods : audiovisual techniques, focused group interviews, and elicitation techniques /
Argitaratua: (1999)

HPLC : high performance liquid chromatography : quantitative analysis of pharmaceutical formulations /
nork: Sethi, P.D
Argitaratua: (2008)

Quantitative determination of artificial sweeteners and sucrose in energy drinks and mango juice available in Dhaka city by UV-Spectrophotometric method
nork: Kanon, Kabirul Islam
Argitaratua: (2018)

Perceived support on employee’s service behavior of business organization: a quantitative study on Aarong
nork: Rahman, Nafisa
Argitaratua: (2024)

Media planning and production /
nork: Simonson, Michael R.
Argitaratua: (1984)

The selection and use of instructional media /
nork: Romiszowski, A. J.
Argitaratua: (1974)

Planning, producing, and using instructional media /
nork: Kemp, Jerrold E.
Argitaratua: (1989)

Importance of visual aids to motivate young learners
nork: Mokarrama, Nahiyan
Argitaratua: (2018)

Envisioning information /
nork: Tufte, Edward R., 1942-
Argitaratua: (1998)

Are you afraid of the dark? /
nork: Sheldon, Sidney
Argitaratua: (2004)

Now, Now
nork: Maier

Visual, narrative and creative research methods : application, reflection and ethics /
nork: Mannay, Dawn
Argitaratua: (2016)

Journal of Survey Statistics and Methodology