Gaza Death Toll Dataset

100%

Gaza Death Toll Dataset

✓ Published0🌍 Public

Last edited Sep 12, 2025

Created on Sep 12, 2025

This visualization presents a chronological dataset of reported deaths in Gaza, compiling incidents and cumulative death tolls from October 2024 through 2025. The data shows individual strikes, daily casualty figures, and cumulative reports from sources like Reuters, Al Jazeera, and UN OCHA. The example uses `d3.csvParse` to validate and load the CSV file, logging parsing results, row counts, and any missing values. The dataset includes columns for date, incident description, death toll, incident type, confirmation status, and source URL, making it suitable for temporal analysis or interactive timeline visualizations.

AI-generated description

This dataset is the result of a conversation with ChatGPT on 9/12/2025.

Full ChatGPT Conversation.

ISC Licensed

Similar vizzes

Loading thumbnail…

Summarized deaths coronav

A minimal text-based visualization displays the cumulative global death count from the Johns Hopkins COVID-19 time series dataset, formatted with thousands separators and shown alongside the latest date column. The page loads the CSV via `d3.csv`, extracts the most recent column, and sums all numeric values using `Array.reduce`. A custom `d3.formatLocale` configuration formats the result with European decimal and grouping conventions, and the final message is injected into the DOM via `document.getElementById` and `textContent`. The visualization offers no charts or interactivity, focusing solely on the computed total.

Ssurikmeetr

66% match

Loading thumbnail…

migrant deaths over time

This bar chart shows the cumulative number of dead and missing migrants over time, aggregated monthly from a CSV dataset. The visualization uses React with D3 v5, employing `scaleTime` and `scaleLinear` for axes, `histogram` to bin data by month, and `sum` to aggregate the death counts. SVG rectangles render the bars, with tooltips displaying the exact total for each month. The data is loaded dynamically via D3's `csv` function from a remote gist URL.

Aazharahmad0

65% match

Loading thumbnail…

Data Table Summary - Dataset 1

This example summarizes a dataset of gun deaths in America from 2012 to 2014, sourced from FiveThirtyEight, by displaying the total row count, column count, and file size in kilobytes. It then prints the first 10 rows of the data as JSON. The visualization uses d3.csv to load the data, d3.csvFormat to calculate file size, and D3’s selection and append methods to render the summary as text on a black page with green terminal-style typography.

OOxfordComma

64% match

Loading thumbnail…

Migrant deaths

This visualization displays the number of migrant deaths over time, using a bar chart where each bar represents the sum of deaths per month. Built with React and D3 v7, it loads CSV data on missing migrants, creates time-binned aggregates via `bin` and `thresholds`, and renders SVG rectangles using `scaleTime`, `scaleLinear`, and custom axes. The bars show the temporal distribution of fatalities, with tooltips revealing precise monthly totals.

DDaniel Zsido

64% match

Loading thumbnail…

Untitled

This visualization maps migrant casualties across the Mediterranean, plotting individual events by geographic coordinates and encoding severity through point size or opacity. It uses SVG for rendering and loads D3 v5 via `select` and `csv` to parse the dataset from `data.csv`. The map displays location, date, and casualty counts for each reported incident, sourced from news reports and route classifications. However, the current code only logs the data to the console, not yet rendering the visual elements.

Kkartikaymanoj

64% match

Loading thumbnail…

Summarizing Coronovarious Data

The visualization presents the global death toll from COVID-19 as a single large text message, displaying a comma-formatted cumulative death count alongside the latest date from the dataset. It loads time-series death data from the Johns Hopkins University CSSE GitHub repository and uses d3.csv to parse it, then d3’s `format` function to format the total. The page renders the result in a simple HTML `<pre>` element, updating its text content via JavaScript without any charts or graphical encoding.

NNikita Toropov

64% match

Loading thumbnail…

Covid-19

This chart displays the cumulative global COVID-19 death toll over time using a smooth line and points, with markers highlighting the latest date and the 10,000-death threshold. Built with React and D3 v5, it loads data from a CSV via `d3.csv`, aggregates daily totals, and renders an SVG with `scaleTime`, `scaleLinear`, `line().curve(curveNatural)`, and custom axes that include dashed reference lines.

Ssmile2git

63% match

Loading thumbnail…

Traffic_Deaths Data Table Summary

This visualization summarizes a WHO dataset on road traffic deaths by country and road-user type. It displays the dataset’s total row count, column count, and size in kilobytes, followed by the first 10 rows formatted as JSON. The code uses `d3.csv` to load the external CSV, `csvFormat` to compute its size, and D3 selections to append the summary text to a black-styled body. The terminal-like green-on-black presentation emphasizes the data’s structure over graphical mapping.

YYF

63% match