Publications by Harold Nelson
Unicode
Unicode Harold Nelson 10/18/2020 Goals This presentation will give you enough comfort with Unicode and UTF-8 to be functional in almost all circumstances. The simple way to think about this topic is to see it as an extension of the character numbering system in the ASCII table. One major difference is that we speak of the character numbers as ...
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Translation Tables
Translation Tables Harold Nelson 10/20/2020 Build a Translation Table intab = "aeiou" outtab = "12345" trantab = str.maketrans(intab, outtab) Use the table. s = "This is a string with vowels" s2 = s.translate(trantab) s2 ## 'Th3s 3s 1 str3ng w3th v4w2ls' What happened? All the lower case values were replaced with the numerical values accord...
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Numpy
Numpy Harold Nelson 10/25/2020 Setup Make the module numpy available with the alias np. Answer import numpy as np Now create and print a list, l_list, of the integers from 1 to 5. Answer l_list = [1,2,3,4,5] print(l_list) ## [1, 2, 3, 4, 5] Now Use the function np.array() to create a numpy array, a_array, with the same contents. Print the ar...
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Caret Extreme Basics
Caret Harold Nelson 11/18/2020 Caret The task is to predict the gender of a person based on other characteristics? This document works through several models using the caret package. It uses the cleaned version of the cdc data. The Data and Packages load("cdc2.Rdata") library(class) library(caret) ## Loading required package: ggplot2 ## Loadi...
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Model Building 2
Model Building 2 Harold Nelson 11/5/2020 A Model Building Exercise Can we predict how much weight people want to lose or gain? The Data We’ll use the cleaned version of the cdc dataset, cdc2. Load the data. load("cdc2.Rdata") Packages Make a few packages available. library(broom) library(ggplot2) library(dplyr) ## ## Attaching package: '...
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Pandas Notes 2
Pandas Notes 2 Harold Nelson 11/4/2020 Task 1 Make numpy available as np. Make pandas available as pd. Answer import numpy as np import pandas as pd Task 2 Get the Data. Using pd.read_csv create the dataframe OAW2 from the csv file. Set the row number to index 0. Answer OAW2 = pd.read_csv("OAW2.csv",index_col = 0) Task 3 Create a boolean v...
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Pandas Notes 1
Pandas Notes 1 Harold Nelson 11/1/2020 Setup In Cocalc, create a folder called “Pandas Notes”. Download the file OAW2.csv from Moodle. Then upload it to the folder you just created in Cocalc. Create a Jupyter notebook in the same folder to do the work below. The data is from the weather station at the Olympia Airport. Task 1 Make numpy av...
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TFR Regressions
TFR Regressions Harold Nelson 10/29/2020 Library library(tidyverse) ## ── Attaching packages ──────── tidyverse 1.3.0 ── ## ✓ ggplot2 3.3.2 ✓ purrr 0.3.4 ## ✓ tibble 3.0.1 ✓ dplyr 1.0.0 ## ✓ tidyr 1.1.2 ✓ stringr 1.4.0 ## ✓ readr 1.3.1 ✓ forcats 0.5.0 ## ── Conflicts ──�...
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Cebula 11-4-20
Intro This is the result of reading the first sample of data from Sunset air. It is a csv file with hourly readings in cumulative kilowatt hours. The observations are all at 34 minutes after the hour. Libraries library(lubridate) ## ## Attaching package: 'lubridate' ## The following objects are masked from 'package:base': ## ## date, inter...
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Pandas and R
Pandas and R Harold Nelson 11/9/2020 Pandas and R Pandas was built as an attempt to bring the analytic capabilities of R to python. These notes look at the similarities and point out some areas where doing analytic work in R is easier. We’ll use the cdc dataset as an example. Setup First we need to load some libraries. This is the equivalent...
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