datapine

SEPTEMBER 16, 2022

But often that’s how we present statistics: we just show the notes, we don’t play the music.” – Hans Rosling, Swedish statistician. Your Chance: Want to test a powerful data visualization software? 14) “Visualize This: The Flowing Data Guide to Design, Visualization, and Statistics” by Nathan Yau. click for book source**.

Visualization 304

Visualization Dashboards Data-driven Statistics 304

Domino Data Lab

AUGUST 8, 2019

Having participated in several Foo Camps—and even co-chaired the Ed Foo series in 2016-17— most definitely, a Foo will turn your head around. Their approach is to bombard “organoid” mini brains living in vats with potential cancer meds, to measure the meds’ relative effects. It’s a quick way to clear the room. machine learning?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Smarten

SEPTEMBER 6, 2019

With true self-serve business intelligence and analytics solutions, the average business user can perform data preparation, test theories and hypotheses by prototyping on their own and share clear, objective data with others.

Analytics 51

Analytics IT Business Intelligence Testing 51

O'Reilly on Data

DECEMBER 9, 2019

We develop an ordinary least squares (OLS) linear regression model of equity returns using Statsmodels, a Python statistical package, to illustrate these three error types. We use the diagnostic test results of our regression model to support the reasons why CIs should not be used in financial data analyses.

Statistics 27

Statistics Uncertainty Risk Marketing 27

datapine

AUGUST 29, 2022

It was lately revised and updated in January 2016. Not only does this digestible guide speak to the reader in a clear, decipherable language, but it is also rich in actionable tips in areas including A/B testing, social network analysis, regression, clustering, and more. is one of the greatest on the market.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

datapine

DECEMBER 28, 2021

1) What Is A Misleading Statistic? 2) Are Statistics Reliable? 3) Misleading Statistics Examples In Real Life. 4) How Can Statistics Be Misleading. 5) How To Avoid & Identify The Misuse Of Statistics? If all this is true, what is the problem with statistics? What Is A Misleading Statistic?

Statistics 363

Statistics Advertising Visualization Data mining 363

Domino Data Lab

SEPTEMBER 25, 2019

We see it when working with log data, financial data, transactional data, and when measuring anything in a real engineering system. A big part of statistics, particularly for financial and econometric data, is analyzing time series, data that are autocorrelated over time. Time series data is commonly encountered. > attGarch.

Forecasting 87

Forecasting Modeling Statistics Optimization 87

Domino Data Lab

MARCH 27, 2019

This data set contains the percentage of votes that were cast in each state for the Democratic Party candidate in each presidential election from 1932 to 2016. Using the summarize() function to calculate summary statistics for the presidentialElections data frame. For more information, see the pscl package reference manual , or use ?

Statistics 85

Statistics Data Science Visualization IT 85

O'Reilly on Data

JUNE 16, 2020

We know, statistically, that doubling down on an 11 is a good (and common) strategy in blackjack. We saw this after the 2016 U.S. To do so, let’s stick with the example of the 2016 U.S. For example, in different conversations, I told several friends that my COVID-19 test had come back negative. Mike: But I lost!

Uncertainty 275

Uncertainty Testing Risk Reporting 275