est85

@est85·10 public vizzes

Felonies by District in San Jose,CR

This bar chart displays the quantity of felonies across 15 districts in San Jose, Costa Rica, with San Jose itself showing the highest count and Dota the lowest. It uses D3 v5 with an SVG rendering, applying `scaleLinear` for the x-axis and `scaleBand` for the categorical y-axis. Data is loaded from a CSV file via `d3.csv`, then parsed and rendered as red rectangles with axes generated by `axisLeft` and `axisBottom`. Margins and padding define the layout.

May 30, 2020

Loading thumbnail…

Bar chart with D3.js

A bar chart displays the popularity of programming languages from Stack Overflow's 2019 survey, with values as percentages. Built with D3.js v5, the SVG visualization renders horizontal axes and animated bars, and includes hover interactions that highlight a selected bar, display a dashed reference line, and compute value divergences against other languages. The chart uses `d3.scaleLinear` and `d3.scaleBand` for axis scaling, `d3.axisLeft` and `d3.axisBottom` for ticks, and `d3.selectAll` with transitions to manage mouseenter and mouseleave effects.

May 30, 2020

Loading thumbnail…

Bar chart with D3.js

This bar chart displays the popularity percentages of programming languages, showing the distribution of values across categorical labels. Built with D3 v5, the visualization renders SVG bars with axes, gridlines, and value labels. Hovering over a bar triggers a mouseenter event that highlights the selected bar, draws a dashed reference line, and displays divergence percentages for all other bars relative to the hovered one. The mouseleave event removes these annotations, restoring the original view. Data is loaded from a CSV file using d3.csv.

May 30, 2020

Loading thumbnail…

Bar chart with D3.js

This interactive bar chart displays crime statistics across Costa Rican cantons, breaking down reported incidents by victim type and offense category. Built with D3.js v5, the visualization uses `d3.scaleBand` and `d3.scaleLinear` to position SVG rectangles, with data loaded from a CSV file via `d3.csv`. Hovering over a bar triggers `mouseenter` and `mouseleave` events that fade other bars, draw a dashed threshold line via `chart.append('line')`, and temporarily display percentage divergence labels for comparison.

May 30, 2020

Loading thumbnail…

Scatter Plot with Menus

A scatter plot displays crime statistics from a San Jose dataset, with dropdown menus letting users choose which numeric columns appear on the x- and y-axes. The visualization re-renders the chart with a smooth animated transition when a selection changes. Built with D3 v5, it uses the `scaleLinear`, `extent`, `axisBottom`, and `axisLeft` APIs to map data, while custom dropdown menus and SVG circle transitions update positions dynamically.

May 30, 2020

Loading thumbnail…

Scatter Plot with Color Menu

This interactive scatter plot displays crime data from Costa Rica, showing the relationship between two selectable columns (such as Canton and Victima) using dot size and position, with a third column controlling dot color. Users choose the axes and color attribute from dropdown menus. Built with D3 v5, the visualization uses `scaleOrdinal` for color mapping, `axisLeft` and `axisBottom` for axes, and animates point placement with `transition().duration(2000)` and a delay. The dataset `Crimenes.csv` is loaded via `csv` and includes counts like "Cantidad_Delitos" for crimes by canton, victim type, and offense. A color legend, generated by `colorLegend.js`, appears on the right, using `schemeCategory10` for distinct hues.

May 30, 2020

Loading thumbnail…

Scatter Plot with Color Menu

This interactive scatter plot explores crime data from San José, Costa Rica, with three dropdown menus that re-map the x-axis, y-axis, and point colors to different columns. The visualization uses D3 v5’s `scaleLinear`, `scaleOrdinal`, and `schemeCategory10` for axes and categorical coloring, while custom reusable components (`dropdownMenu`, `scatterPlot`, `colorLegend`) handle the interface. Points animate via `transition().duration(2000)` when attributes change, and CSV data is loaded with `d3.csv`.

May 30, 2020

Loading thumbnail…

Tab.1(3)- Items of general project funding in 2018 (by nature of institutions)

This example displays a stacked bar chart of crime records from Costa Rica, where each bar represents a sub-delito (sub-crime) category and is segmented by the canton (county) where the crime occurred. The visualization uses D3.js version 3 to render SVG shapes with animated transitions, and includes an interactive color legend that highlights specific cantons when hovered. It also provides tooltips via the d3-tip library to show detailed counts. The data is loaded from a CSV file containing 110 crime entries with fields for canton, district, and crime type. The chart is a direct adaptation of Curran Kelleher's stacked bar chart example, with modified axis labels and formatting.

May 30, 2020

Loading thumbnail…

Tab.1(3)- Items of general project funding in 2018 (by nature of institutions)

This visualization displays the sales totals for various product segments, broken down by sub-category, as a stacked bar chart. The chart uses an SVG rendering and includes an animated tooltip that shows the specific sales value for a segment when hovered. Built with Vue and D3, the visualization employs `d3.layout.stack` to create the stacked bars, `d3.scale.ordinal()` for the x-axis, and `d3.legend.color` for the interactive legend that isolates individual sub-categories. The data originates from a CSV file containing sales figures.

May 30, 2020

Loading thumbnail…

Tab.1(3)- Items of general project funding in 2018 (by nature of institutions)

This interactive stacked bar chart visualizes general project funding items for 2018, broken down by institutional segment (Consumer, Corporate, Home Office) and sub-category, using D3.js. The bars show cumulative sales values with a color legend; hovering over legend entries highlights a specific sub-category by fading other bars. The visualization uses d3.layout.stack and d3.scale.ordinal, with tooltips via d3-tip, and is forked from Curran Kelleher's example with data sorted and grouped from a CSV.

May 30, 2020