Lenny Martinez Dominguez lennymd

lennymd / values.js

Created November 21, 2020 18:11

	let outcomes_health;
	async function get_values() {
	let data = await d3.csv('https://raw.githubusercontent.com/lennymd/test_evidence_map/main/public/data/column_values.csv');
	const cols = data.columns;
	let values = {};
	cols.forEach(col => (values[col] = d3.map(data, d => d[col]).keys()));
	outcomes_health = values['health_outcomes'];
	}
	get_values();
	console.log(outcomes_health);

lennymd / find_last_place.R

Last active October 19, 2020 17:46

	library(tidyverse)

	# Read CSV file
	df <- read_csv("https://raw.githubusercontent.com/lennymd/formulaOneAnalysis/main/data/race_results_statsf1.csv") %>% filter(year == 1950)

	# Trying to calculate for the last place for a race
	get_dead_last <- function(some_race_id) {
	last <- df %>%
	select(race_id, position, driver) %>%
	filter(race_id == some_race_id) %>%

lennymd / countries.html

Last active June 15, 2020 16:22

	<!-- argentina start -->
	<div class="row">
	<div class="col-12"><h4>Argentina</h4></div>
	</div>
	<div class="row">
	<div class="col-6">Confirmed Cases</div>
	<div class="col-6 text-right"><span id="argentina_cases"></span></div>
	</div>
	<div class="row">
	<div class="col-6">Deaths</div>

lennymd / filterSections.html

Last active April 23, 2020 03:54

Trying to filter sections made using d3 by using CSS and a selectButton

	<!DOCTYPE html>
	<html lang="en">

	<head>
	<meta charset="UTF-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<title>Cards test</title>
	<style>
	.hidden {
	display: none;

lennymd / getFiles.py

Created February 15, 2020 21:16

How to get the paths for image files

	# This script will search for all the
	import glob, csv

	# the name of your hard drive
	hdName = "lennymartinezd"

	# the name of the folder where all the POY images are on"
	mainFolderName = "_photoExports"

	mainFolderPath = "/Volumes/" + hdName + "/" + mainFolderName

lennymd / json_to_csv_lowe.py

Created October 12, 2019 01:21

	# we'll use the json library to read the JSON file and the csv library to save the file as a CSV file.
	import csv, json

	# This is the path to your json file. In this case I'm running the python script from the same folder where my json is.
	path_to_file = "art_of_asia.json"

	# The first thing we do is load the JSON file using Python, which turns the whole object into a dictionary, with a lot of dictionaries inside.
	with open(path_to_file) as file:
	data = json.load(file)