Skip to main content
SimilarExport ZIP
100%

Summarizing Coronavirus Data

✓ Published0🌍 Public
KKtuzinowski
Last edited Jul 30, 2021
Created on Jul 30, 2021

A single number dominates the page: the total global COVID-19 deaths, calculated as of the most recent date in the Johns Hopkins time-series dataset. The visualization reduces the entire pandemic’s toll to one large, red statistic, formatted with commas. The code loads the CSV with `d3.csv`, sums the latest column of death counts using JavaScript’s `reduce`, and displays the result via React by setting `textContent` on a `<pre>` element. It uses d3’s `format` helper to add comma separators.

AI-generated description

This program loads and parses the Johns Hopkins Coronavirus Dataset

MIT Licensed

Similar vizzes

Loading thumbnail…

Summarizing Data Coronavirus

This visualization summarizes global COVID-19 death data by displaying a single large number: the total deaths on the most recent date in the dataset. It loads an archived time series CSV from the CSSEGISandData GitHub repository using `d3.csv`, then uses React’s `useState` and `useEffect` to fetch and store the data. A `reduce` operation sums the values from the last date column, and `d3.format` adds comma separators for readability. The final message, including the date, renders in large red text via a `pre` element.

Nn.koldovsky@gmail.com
93% match
Loading thumbnail…

Summarizing Coronavirus Data

This example displays the total global COVID-19 deaths as a large, prominently styled number, along with the date of the latest data column. It loads a time series CSV from the Johns Hopkins CSSE repository using `d3.csv` and a Promise, then parses the last column’s values. The sum is computed with `Array.reduce` and formatted with `d3.format`. The resulting message is inserted into the DOM via `textContent` within a React-agnostic HTML page, using D3 v5.

Ffjvoris
92% match
Loading thumbnail…

Summarizing Coronavirus Data

This example displays the total global deaths from COVID-19 as a large red number in a `<pre>` element, updated to the most recent date in the dataset. It loads a CSV from the Johns Hopkins CSSE GitHub repository using `d3.csv`, extracts the last date column, sums all numeric values with `Array.reduce`, and formats the result with `d3.format`. The final message combines the comma-formatted total and the date, then injects it into the page via `textContent`.

MMichael Bruno
92% match
Loading thumbnail…

Summarizing Coronavirus Data

This visualization summarizes the global death toll from the COVID-19 pandemic, displaying a text message that reports the total number of deaths and the most recent date in the dataset. The code uses React with hooks to fetch and manage data, and D3 v7’s `csv` and `format` functions to load and parse the Johns Hopkins Coronavirus Dataset. It calculates the sum of the latest column of death counts across all countries and formats the result with comma separators. The display updates from a loading state to the final summary once the data arrives.

AAlex Stulov
92% match
Loading thumbnail…

Sumarizing Coronavirus Data

This visualization summarizes the global death toll from the Johns Hopkins Coronavirus Dataset. It displays a single large red number for the total deaths, followed by the latest recorded date, in a plain text format. The code loads the CSV data with d3.csv, extracts the last date column, and sums all values using array reduce. It then formats the result with d3.format and writes it to a pre element in the HTML.

RRMartins11
92% match
Loading thumbnail…

Summarizing Coronavirus Data

This visualization summarizes global COVID-19 deaths by displaying a single large number computed from the Johns Hopkins Coronavirus Dataset. It shows the total death count and the latest date column from the dataset. The code uses D3 v7’s `d3.csv` to load the data, then applies array methods like `map` and `reduce` to sum all values. It formats the result with D3’s `format` function before inserting the message into the page via `document.getElementById`.

TThomas Cormican
91% match
Loading thumbnail…

Summarizing Coronavirus Data

This visualization displays the total number of COVID-19 deaths worldwide as a single large red figure, along with the date of the latest data column. It loads the Johns Hopkins Coronavirus time-series dataset via `d3.csv`, maps the final column’s values to numbers, and reduces them with a sum accumulator. The result is formatted using `d3.format` and inserted into the DOM via `textContent`.

CCurran Kelleher
91% match
Loading thumbnail…

Summarizing Coronavirus Data

This example displays the total number of global COVID-19 deaths as a large numeric counter, updated to the latest date in the Johns Hopkins time-series dataset. It loads the CSV data using d3.csv, extracts the final column, sums its values with JavaScript’s reduce method, and formats the result with d3.format. The comma-separated total and date are rendered as plain text in a pre element, with no charts or interactive elements.

WWolfgang
91% match