Btibert3

---
title: "A Basic HTML Report that accepts params"
format:
  html:
    embed-resources: true
---

```{python}
#| tags: [parameters]
#| echo: false

Btibert3

---
title: "Diamonds Dataset Analysis"
format:
  revealjs:
    embed-resources: true
---

```{python}
#| echo: false

Btibert3

###############################################################################
# Author: @BrockTibert
# Purpose: Collect Historical NHL Skater Stats 1960 - 2011 (in progress)
# Date: February 2011
#
# Used: R Version 2.12.1, Windows 7 Pro, StatET Plugin for Eclipse
#
# # Copyright (c) 2011, under the Simplified BSD License.  
# For more information on FreeBSD see: http://www.opensource.org/licenses/bsd-license.php
# All rights reserved. 

Btibert3

version: '3.8'

services:
  neo4j:
    # modified from: https://github.com/neo4j-examples/nlp-knowledge-graph/blob/master/docker-compose.yml
    image: neo4j:5.10.0-enterprise
    container_name: "neo4j-5.10"
    # https://stackoverflow.com/questions/75018323/problem-installing-a-plugin-in-docker-container-of-neo4j
    volumes:
      - ./neo4j/data:/data

Btibert3

Build Star Wars models with your Lego collection

Summary

Since my childhood, the countless model building with Lego bricks are fascinating me. Lego are plastic construction toys consisting of interlocking bricks that are used to construct a wide variety of models. Usually, Lego are sold as a collection of different designed pieces and an instruction book that visually describe the sequential building steps of a miniature model.

I always had a great fun using bricks to build different models that you have to imagine based on the bricks available. But this liberty to imagine new models comes with a great frustration when important pieces are missing to build it.

Btibert3

# SOURCE (and adapted from): https://stackoverflow.com/a/46676405/155406
import requests, zipfile, io
import pandas

# use requests to get the dataset, get the zipfile, and use pandas to read the csv
# the site blocks certain requests, but ironically allows wget from Google Colab
def rm_main():
  # get the data
  URL = ("https://peter-tanner.com/moneypuck/downloads/shots_2021.zip")
  r = requests.get(URL)

Btibert3

rmongodb Tutorial

This is a quick document aimed at highlighting the basics of what you might want to do using MongoDB and R. I am coming at this, almost completely, from a SQL mindset.

Install

The easiest way to install, I believe, is

Btibert3

###############################################################################
# Author: @BrockTibert
#
# Used: R Version 2.12.1, Windows 7 Pro, StatET Plugin for Eclipse
#
#
###############################################################################

#-----------------------------------------------------------------------
# set up script level basics

Btibert3

Steps

1. Open up the terminal
2. Make sure you go to the home directory via: cd ~
3. Create a new folder called sfdc via: mkdir sfdc
4. Change into that directory via : cd sfdc
5. Copy the contents of the file into docker-compose.yml into that directory. In the terminal, ls should print out docker-compose.yml
6. Make sure the docker app is running on your machine
7. In the terminal, run the command docker-compose up

Btibert3

# challenge from charlie
#-----
# Write a function called "reconcileHelper" that processes two arrays of integers.
# Each array passed in will have only distinct numbers (no repeats of the same integer in 
# the same array), and the arrays are not sorted.
# Your job is to find out which numbers are in array a, but not array b, 
# and which numbers are in array b, but not in array a.
# Your function should return a string formatted as so:
# "Numbers in array a that aren't in array b: 
# <num1> <num2> <num3>...