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Product information

Color: Brown; Gray; Light Blue; Dark Blue; Dark Gray; Tan

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Specification: With 8 Grommets

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11

Product information

Color: Brown; Gray; Light Blue; Dark Blue; Dark Gray; Tan

Material: Luxury Triple Weave Fine Texture Energy Efficient Blackout Fabric 300gsm

Specification: With 8 Grommets

Size: 50"x63"x2; 50"x84"x2; 50"x95"x2

1111

Product information

Color: Brown; Gray; Light Blue; Dark Blue; Dark Gray; Tan

Material: Luxury Triple Weave Fine Texture Energy Efficient Blackout Fabric 300gsm

Specification: With 8 Grommets

Size: 50"x63"x2; 50"x84"x2; 50"x95"x2

11

Product information

Color: Brown; Gray; Light Blue; Dark Blue; Dark Gray; Tan

Material: Luxury Triple Weave Fine Texture Energy Efficient Blackout Fabric 300gsm

Specification: With 8 Grommets

Size: 50"x63"x2; 50"x84"x2; 50"x95"x2

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Brown

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Dark Blue

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Dark Gray

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Gray

1 4 4 4 1 1
Brown Blackout Curtain Dark Blue Blackout Curtain Dark Gray Blackout Curtain Gray Blackout Curtain Light Blue Blackout Curtain Tan Blackout Curtain
Material Type Luxury Triple Weave Fine Texture Energy Efficient Blackout Fabric 300gsm Luxury Triple Weave Fine Texture Energy Efficient Blackout Fabric 300gsm Luxury Triple Weave Fine Texture Energy Efficient Blackout Fabric 300gsm Luxury Triple Weave Fine Texture Energy Efficient Blackout Fabric 300gsm Luxury Triple Weave Fine Texture Energy Efficient Blackout Fabric 300gsm Luxury Triple Weave Fine Texture Energy Efficient Blackout Fabric 300gsm
Size 50"x63"x2; 50"x84"x2; 50"x95"x2 50"x63"x2; 50"x84"x2; 50"x95"x2 50"x63"x2; 50"x84"x2; 50"x95"x2 50"x63"x2; 50"x84"x2; 50"x95"x2 50"x63"x2; 50"x84"x2; 50"x95"x2 50"x63"x2; 50"x84"x2; 50"x95"x2
Color Brown Dark Blue Dark Gray Gray Light Blue Tan
Shading 90% blackout 100% blackout 100% blackout 90% blackout 90% blackout 90% blackout

Central Park Brown Blackout Window Curtain Panels 90% Room Darke

Mapping the confusion matrix

November 10, 2021 | A.M. Barbosa

The ‘confusionLabel‘ function below labels the predictions of a binary response model according to their confusion matrix categories, i.e., it classifies each prediction into a false positive, false negative, true positive or true negative, given a user-defined threshold value: Usage … Continue reading →
[Read more...]

{binance} P2P Trades

November 9, 2021 | R - datawookie

Peer-to-Peer (P2P) cryptocurrency trading refers to trades that occur directly between two parties without a central authority (like an exchange) being involved. It’s possible to execute P2P trades using a Binance account. You’d start by browsing the listings of adverts. Suppose, for example, that you wanted ...
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Xing glass bridges [or not]

November 9, 2021 | xi'an

A riddle from the Riddler surfing on Squid Games. Evaluating the number of survivors (out of 16 players) able to X the glass bridge, when said bridge is made of 18 consecutive steps, each involving a choice between a tempered and a non-tempered glass square. Stepping on a non-tempered square means death, ...
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Chile’s R Ladies Group is Open and Inclusive

November 9, 2021 | R Consortium

To understand what R Ladies in Santiago is like, R Consortium talked to Riva Quiroga about how they are dealing with organizing and meeting during the pandemic. We also discussed... The post Chile’s R Ladies Group is Open and Inclusive appeared first on R Consortium.
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Anderson-Darling Test in R (Quick Normality Check)

November 9, 2021 | finnstats

Anderson-Darling Test in R, The Anderson-Darling Test is a goodness-of-fit test that determines how well your data fits a given distribution. This test is most typically used to see if your data follow a... The post Anderson-Darling Test in R (Quick Normality Check) appeared first on finnstats.
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Ditch p-values. Use Bootstrap confidence intervals instead

November 8, 2021 | Florent Buisson

Are you interested in guest posting? Publish at DataScience+ via your RStudio editor.CategoryBasic StatisticsTagsBasic StatisticsExploratory AnalysisR ProgrammingTips & TricksP-values don’t mean what people think they mean; they rely on hidden assumptions that are unlikely to be fulfilled; they detract from the real questions. Here’s how to use the ...
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ShinyProxy 2.6.0

November 8, 2021 | Open Analytics

ShinyProxy 2.6.0 Today we release version 2.6.0 of ShinyProxy which includes over forty improvements. ShinyProxy is a novel, open source platform to deploy Shiny apps for the enterprise or larger organizations. Nevertheless, ShinyProxy is also an exce...
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Granger Causality Test in R (with Example)

November 8, 2021 | finnstats

Granger-Causality Test in R, The Granger Causality test is used to examine if one time series may be used to forecast another. Null Hypothesis (H0): Time series X does not cause time series Y... The post Granger Causality Test in R (with Example) appeared first on finnstats. [Read more...]

Should I Move to a Database?

November 7, 2021 | Roel M. Hogervorst

Long ago at a real-life meetup (remember those?), I received a t-shirt which said: “biggeR than R”. I think it was by microsoft, who develop a special version of R with automatic parallel work. Anyways, I was thinking about bigness (is that a word? it is now!) of your data. ... [Read more...]

Building Code Movies With flipbookr

November 7, 2021 | Gina Reynolds

Photo by Alex Litvin on Unsplash This is a guest post from Gina ReynoldsOpens a new window with contributions from Rachel Goodman, Luca Picci, Conner Surrency, and Brit Woodrum, who provided research assistance while completing their Masters’ at the University of Denver’s Josef Korbel School of International Studies. Gina ... [Read more...]

{binance} Spot Trading: Liquidity

November 7, 2021 | R - datawookie

In previous posts we looked at creating market orders and limit orders with {binance}. We saw a couple of successful trades. However, sometimes trades are not successful and the orders are not filled. Let’s try to understand why. The setup will be the same as the previous posts and ...
[Read more...]

Markov Transition (Animated) Plots

November 6, 2021 | R on Data & The World

This is a quick post intended for animating how the transition matrix of a Markov chain changes between larger time steps, as well as showing the probability of the chain being in any specified state over time. This post uses the tidyverse, along with ... [Read more...]
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