Best Chart.js Tools to Buy in November 2025
NELOMO 11.8” X 7.9” Toolbox Reference Card Toolbox Accessories Conversion Chart Card SAE Metric Ruler Standard Metric Conversion Charts Tap Drill Sizes Wrench Conversion Chart
- ALL-IN-ONE REFERENCE: ESSENTIAL CONVERSIONS AND SIZES ON ONE CARD!
- DURABLE DESIGN: MADE WITH HIGH-QUALITY, LAMINATED MATERIALS FOR LONGEVITY.
- PORTABLE & HANDY: PERFECT FOR INDOOR/OUTDOOR USE ON ANY WORKBENCH!
D3.js in Action, Third Edition
Vaincre Bench Dough Scraper Cutter - 2PCS 6" Stainless Steel Chopper Baking Scraper Spatula with Measuring Scale, Bench Chopping Knife, Kitchen Cooking Utensils Tool for Pastry, Food, Bread
-
VERSATILE TOOL: USE AS DOUGH SCRAPER, PIZZA CUTTER, AND VEGGIE CHOPPER.
-
DURABLE DESIGN: SINGLE-PIECE STAINLESS STEEL, ERGONOMIC HANDLE FOR COMFORT.
-
EASY CLEANING: DISHWASHER SAFE FOR QUICK CLEANUP AND MAINTENANCE.
Torlam 131 PCS Base Ten Blocks for Math - Place Value Blocks, Plastic Base 10 Math Manipulatives 1st Grade, Math Counters, Math Cubes, Counting Cubes for Kids Kindergarten Math
- ENGAGING, HANDS-ON LEARNING FOR KEY MATH CONCEPTS-PERFECT FOR KIDS!
- COLORFUL, DURABLE PLASTIC BLOCKS ENHANCE VISUAL LEARNING AND FUN GAMES.
- BONUS WRITE & WIPE MAT FOSTERS INTERACTIVE PRACTICE AND ENDLESS FUN!
Learning Resources Helping Hands Pocket Chart, 30 Card, Classroom Organization, Teacher Accessories,Teacher Supplies for Classroom,Back to School Supplies
- FOSTER TEAMWORK AND BOOST SELF-ESTEEM WITH CLASS JOB CARDS!
- CUSTOMIZABLE CARDS & STORAGE POCKETS FOR ORGANIZED CLASSROOMS.
- TRUSTED EDUCATIONAL TOOLS SINCE 1984 - PERFECT FOR GIFTING!
The Official Guide to Mermaid.js: Create complex diagrams and beautiful flowcharts easily using text and code
Instant Pot Cooking Times Chart - Pressure Cooker Accessories Cook Times - Easy to Use & Clean Strong Magnet Kilograms - Instant Pot Cheat Sheet Magnet Set Quick Reference Guide (White)
- SIMPLIFY COOKING: INSTANT POT CHEAT SHEET ELIMINATES GUESSWORK!
- FAST ACCESS: CLEARLY LABELED INGREDIENTS FOR QUICK INFORMATION RETRIEVAL.
- DURABLE DESIGN: WATERPROOF, MAGNETIC, AND COMPATIBLE WITH VARIOUS COOKERS!
D3.js in Action: Data visualization with JavaScript
To display the value after the bar using chart.js, you can enable the 'afterDatasetsDraw' hook in the options object of your chart configuration. Within this hook, you can loop through the datasets and use the canvas' context to draw the values next to each bar. Calculate the appropriate position for each value based on the bar's dimensions and text alignment. You can also format the values before displaying them to ensure they fit well within the bar chart.
How to display negative values after the bar using chart.js?
You can display negative values after the bar in chart.js by using the afterDraw callback function. Here is an example code snippet:
var ctx = document.getElementById('myChart').getContext('2d'); var myChart = new Chart(ctx, { type: 'bar', data: { labels: ['A', 'B', 'C', 'D'], datasets: [{ label: 'Values', data: [10, -5, 8, -3], backgroundColor: 'blue' }] }, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: true } }, plugins: { afterDraw: function (chart) { var ctx = chart.ctx; chart.data.datasets.forEach(function (dataset, i) { var meta = chart.getDatasetMeta(i); if (!meta.hidden) { meta.data.forEach(function (bar, index) { var data = dataset.data[index]; if (data < 0) { var yPos = bar.y - 10; ctx.fillText(data, bar.x, yPos); } }); } }); } } } });
In this code snippet, the afterDraw callback function is used to iterate over each bar in the chart and check if the data value is negative. If the data value is negative, it will display the value above the bar to the left. You can customize the position and styling of the text as needed.
How to display values as currency after the bar using chart.js?
To display values as currency after the bar in Chart.js, you can use the tooltips property in the options of the chart configuration. You can define a tooltip callback function that formats the tooltip label to display the value as currency.
Here is an example code snippet that demonstrates how to display values as currency after the bar using Chart.js:
var ctx = document.getElementById('myChart').getContext('2d');
var data = { labels: ['January', 'February', 'March', 'April', 'May'], datasets: [{ label: 'Revenue', data: [2500, 3500, 2800, 4000, 3000], backgroundColor: 'rgba(54, 162, 235, 0.2)', borderColor: 'rgba(54, 162, 235, 1)', borderWidth: 1 }] };
var options = { scales: { y: { beginAtZero: true } }, plugins: { tooltip: { callbacks: { label: function (context) { var value = context.parsed.y; return '$' + value.toFixed(2).replace(/\d(?=(\d{3})+\.)/g, '$&,'); } } } } };
var myChart = new Chart(ctx, { type: 'bar', data: data, options: options });
In this code snippet, we define a bar chart with revenue data and configure a tooltip callback function to format the tooltip label to display the value as currency. The toFixed method is used to round the value to 2 decimal places and the replace method is used to add commas for better readability.
You can adjust the formatting of the tooltip label according to your preference by modifying the callback function in the options object.
What is the reasoning behind choosing to display values after the bar rather than inside the bar in chart.js?
There are a few reasons why someone might choose to display values after the bar rather than inside the bar in a chart using chart.js.
- Visibility: Placing the values after the bar can make them more visible and easier to read, especially when there are multiple bars in close proximity to each other. This can help to prevent overlap and clutter within the bars themselves.
- Aesthetic appeal: Some users may prefer the clean and unobstructed look of bars without values inside them. Placing the values outside of the bars can create a more visually appealing and organized display.
- Clarity: Displaying the values outside of the bars can help to clearly associate each value with its corresponding bar, making it easier for viewers to quickly understand and interpret the data being presented.
Ultimately, the decision to display values after the bar rather than inside the bar comes down to personal preference and the specific needs of the data visualization project at hand.