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content/archive/internal/austinlee-urbanplaygroundbibliometric.md
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content/archive/internal/content-50a3178d-5432-44a3-bb5c-1718ca3e1fe2.md
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content/archive/internal/content-670bef30-50aa-4a49-bb7f-968c8e145a61.md
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content/archive/internal/content-f9d035ed-86ea-4779-ad01-31acc973f0dd.md
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--- | ||
title: "SWBio Bioinformatics course task book" | ||
author: "David Studholme" | ||
date: "2023-10-25T14:38:20Z" | ||
tags: [Course, Package] | ||
link: "https://bookdown.org/d_j_studholme/swbio/" | ||
length_weight: "4.1%" | ||
repo: "rstudio/bookdown-demo" | ||
pinned: false | ||
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<p>This is a minimal example of using the bookdown package to write a book. | ||
set in the _output.yml file. | ||
The HTML output format for this example is bookdown::gitbook,</p> [...] This is the task book for the SWBio Bioinformatics course. | ||
This book summarises the tasks that you should work through during the workshops. | ||
The first three workshops are planned to be in-person with the instructor(s) present. | ||
During those in-person workshops there will be time to complete at least some of the tasks. Later in the week there are remote self-study sessions where you work at your own pace | ||
and the ... |
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.../archive/internal/edward-stanhope-systematic-reviewing-scientific-literature.md
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--- | ||
title: "Introduction to Inferential Statistics" | ||
author: "Dr. Marc Trussler" | ||
date: "2023-10-24T01:27:54Z" | ||
date: "2023-10-31T17:16:32Z" | ||
tags: [Statistics, Data Science, Tidy] | ||
link: "https://bookdown.org/marc_trussler/IIS/" | ||
length_weight: "12%" | ||
length_weight: "100%" | ||
pinned: false | ||
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Class notes for PSCI-1801 [...] Current as of 2023-10-23 Lecture: MW 12-1:30pm (MCNB 309) Dr. Marc Trussler [email protected] Fox-Fels Hall 32 (3814 Walnut Street) Office Hours: M 9-11am TA: Dylan Radley [email protected] Fox-Fels Hall 35 (3814 Walnut Street) Office Hours: Tuesday 11-12 Tuesday 3-4 Thursday 12-1 The first step of many data science sequences is to learn a great deal about how to work with individual data sets: cleaning, tidying, merging, describing and visualizing data. These are crucial skills in data analytics, but describing a data set is not our ultimate goal. The ... | ||
Class notes for PSCI-1801 [...] Current as of 2023-10-31 Lecture: MW 12-1:30pm (MCNB 309) Dr. Marc Trussler [email protected] Fox-Fels Hall 32 (3814 Walnut Street) Office Hours: M 9-11am TA: Dylan Radley [email protected] Fox-Fels Hall 35 (3814 Walnut Street) Office Hours: Tuesday 11-12 Tuesday 3-4 Thursday 12-1 The first step of many data science sequences is to learn a great deal about how to work with individual data sets: cleaning, tidying, merging, describing and visualizing data. These are crucial skills in data analytics, but describing a data set is not our ultimate goal. The ... |
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content/archive/internal/martin-monkman-datapreparationjourney.md
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--- | ||
title: "The Data Preparation Journey" | ||
author: "Martin Monkman" | ||
date: "2023-10-16T03:06:04Z" | ||
date: "2023-10-31T13:31:56Z" | ||
tags: [Tidy, Data Science, Visualization, Textbook] | ||
link: "https://bookdown.org/martin_monkman/DataPreparationJourney/" | ||
length_weight: "100%" | ||
repo: "MonkmanMH/data_preparation_with_r" | ||
pinned: false | ||
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Before you can analyze your data, you need to ensure that it is clean and tidy. [...] Welcome to The Data Preparation Journey: Finding Your Way With R, a forthcoming book published with CRC Press as part of The Data Science Series. This is a work-in-progress; the most recent update is 2023-10-15. It is routinely noted that the Pareto principle applies to data science—80% of one’s time is spent on data collection and preparation, and the remaining 20% on the “fun stuff” like modeling, data visualization, and communication. There is no shortage of material—textbooks, journal articles, blog ... | ||
Before you can analyze your data, you need to ensure that it is clean and tidy. [...] Welcome to The Data Preparation Journey: Finding Your Way With R, a forthcoming book published with CRC Press as part of The Data Science Series. This is a work-in-progress; the most recent update is 2023-10-31. It is routinely noted that the Pareto principle applies to data science—80% of one’s time is spent on data collection and preparation, and the remaining 20% on the “fun stuff” like modeling, data visualization, and communication. There is no shortage of material—textbooks, journal articles, blog ... |
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content/archive/internal/masayukeeeee-jiyu-dslec-2023-02.md
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--- | ||
title: "2023年度:データサイエンス 第2回" | ||
author: "酒井 優行" | ||
date: "2023-10-27T13:42:51Z" | ||
link: "https://bookdown.org/masayukeeeee/jiyu-dslec-2023-02/" | ||
length_weight: "5.7%" | ||
pinned: false | ||
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2023年度:データサイエンス 第2回 [...] ... |
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content/archive/internal/masayukeeeee-jiyu-dslec-2023-workassignments.md
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