[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"productUpdate-en::frame-feature-and-heatmap-display-are-now-available-in-graph-charts:en":3,"productUpdatesNearDate-en:timestamp-2026-02-18T09:00+09:00:en":18},{"id":4,"title":5,"slug":6,"description":7,"body":8,"tags":9,"coverUrl":7,"coverMediaUrl":13,"ogImageUrl":14,"createdAt":15,"updatedAt":15,"datePublished":16,"locale":17},"1jD6w9j8Z71p6EBxVW6jb5","Frame Feature and Heatmap Display are Now Available in Graph Charts","frame-feature-and-heatmap-display-are-now-available-in-graph-charts","","\u003Cp>We've added frame functionality and heatmap display to graph charts. You can now intuitively visualize time-series changes and network importance, making comparative data analysis easier than ever. Please give it a try!\u003C\u002Fp>\u003Cp>\u003Cb>Key Features\u003C\u002Fb>\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cp>\u003Cb>Frame feature\u003C\u002Fb>: Split charts by specified column values and compare changes using a slider\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cb>Autoplay\u003C\u002Fb>: Continuously play through frames to animate changes over time\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cb>Heatmap display\u003C\u002Fb>: Change node colors based on weight to visually represent importance\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cb>Layout improvements\u003C\u002Fb>: Node positions remain fixed across frames for better comparison visibility\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003Cp>\u003Cb>Use Cases\u003C\u002Fb>\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cp>\u003Cb>Website transition analysis\u003C\u002Fb>: Compare page transition patterns month by month to understand changes in user behavior\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cb>Supply chain visualization\u003C\u002Fb>: Track changes in logistics networks and identify when bottlenecks occur\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cb>Social network analysis\u003C\u002Fb>: Identify influential individuals (nodes) using heatmaps and observe community changes over time\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003Cp>For configuration details, please refer to our \u003Ca href=\"https:\u002F\u002Fdocs.codatum.com\u002Fdata-exploration\u002Fchart\u002Fgraph-chart\" target=\"_blank\" rel=\"noopener noreferrer\">support documentation\u003C\u002Fa>.\u003C\u002Fp>\u003Cp>*Specifications are subject to change without notice.\u003C\u002Fp>\u003Cp>We hope this helps with your data analysis!\u003C\u002Fp>\u003Cp>If you have any feedback or feature requests, please feel free to share.\u003C\u002Fp>",[10],{"id":11,"name":12},"new_feature","New Feature","https:\u002F\u002Fvideos.ctfassets.net\u002Fggtw2zqmifs5\u002F1CyephQKghfS5ItVTz1mNe\u002Fde8b20850fb6e1dd5f16da934f125f2d\u002Fgraph_chart.mp4","https:\u002F\u002Fimages.ctfassets.net\u002Fggtw2zqmifs5\u002F6THo48OMghNaWtocI9rXhu\u002Fda319da558d7ce03c56260a49368f1f8\u002F%C3%A3__%C3%A3__%C3%A3_%C2%AA%C3%A3__%C3%A3__%C3%A3__%C3%A3__%C3%A3__%C3%A3___2026-02-17_17.22.26.png","2026-02-18T00:00:17.542Z","2026-02-18T09:00+09:00","en",[19,29,41,53],{"id":20,"title":21,"slug":22,"description":7,"body":23,"tags":24,"coverUrl":7,"coverMediaUrl":25,"ogImageUrl":26,"createdAt":27,"updatedAt":27,"datePublished":28,"locale":17},"74kfroEArBUKDor7UCeF8D","New Auxiliary Line Features for Charts (Statistical Lines, Trendlines, and Reference Lines)","new-auxiliary-line-features-for-charts-statistical-lines-trendlines-and","\u003Cp>We're excited to announce new auxiliary line features for charts! Use statistical lines, trendlines, and reference lines to intuitively analyze data trends and manage goals. Give it a try!\u003C\u002Fp>\u003Cp>\u003Cb>Key Features\u003C\u002Fb>\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cp>\u003Cb>Statistical Lines\u003C\u002Fb>\u003C\u002Fp>\u003Cp>: Display average, median, maximum, and minimum values as dashed lines for each series\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cb>Trendlines\u003C\u002Fb>\u003C\u002Fp>\u003Cp>: Support for 6 types including linear regression, moving average, and polynomial\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cb>Reference Lines\u003C\u002Fb>\u003C\u002Fp>\u003Cp>: Add lines or bands to mark target values and acceptable ranges at any position\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>Available for XY Charts and XYZ Charts\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>Trendlines display equations and R² (coefficient of determination)\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003Cp>\u003Cb>Use Cases\u003C\u002Fb>\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cp>\u003Cb>KPI Dashboards\u003C\u002Fb>\u003C\u002Fp>\u003Cp>: Overlay sales targets (reference lines), actual averages (statistical lines), and forecasted trends (trendlines)\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cb>Quality Control\u003C\u002Fb>\u003C\u002Fp>\u003Cp>: Display acceptable ranges (reference lines) and statistical values (avg\u002Fmax\u002Fmin) to instantly detect anomalies in product data\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cb>Time Series Analysis\u003C\u002Fb>\u003C\u002Fp>\u003Cp>: Add moving averages to monthly data to identify underlying trends beyond short-term fluctuations\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cb>Performance Monitoring\u003C\u002Fb>\u003C\u002Fp>\u003Cp>: Display danger zones (reference lines) and average values (statistical lines) for system metrics\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003Cp>For setup instructions and details, please refer to our support documentation.\u003C\u002Fp>\u003Cp>※Specifications are subject to change without notice.\u003C\u002Fp>\u003Cp>We'd love to hear your feedback and suggestions about our chart features!\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>",[],"https:\u002F\u002Fvideos.ctfassets.net\u002Fggtw2zqmifs5\u002F66lqv3UPWbUfW0NYgVnaz0\u002Fc3ff33506eae6a5306d716a11ad0c1dc\u002FStatistical_Lines__Trendlines__and_Reference_Lines.mp4","https:\u002F\u002Fimages.ctfassets.net\u002Fggtw2zqmifs5\u002F4Pzp9Z0SMtgudT9W7XChh6\u002F01a08aa2342518157ddc7dc9417f1830\u002F%C3%A3__%C3%A3__%C3%A3_%C2%AA%C3%A3__%C3%A3__%C3%A3__%C3%A3__%C3%A3__%C3%A3___2026-01-08_17.20.15.png","2026-02-02T00:00:12.065Z","2026-02-02T00:00+09:00",{"id":30,"title":31,"slug":32,"description":7,"body":33,"tags":34,"coverUrl":7,"coverMediaUrl":36,"ogImageUrl":37,"createdAt":38,"updatedAt":39,"datePublished":40,"locale":17},"zsTSwPkTDvLFfYGqy9ZKO","Enhanced Hierarchical Data Analysis Features (Date Transformation & Drill-Down)","enhanced-hierarchical-data-analysis-features-date-transformation-and-drill","\u003Cp>Analyze hierarchical data more deeply! Transform date fields to create time-based hierarchies, then intuitively drill down with bar charts. Give it a try!\u003C\u002Fp>\u003Cp>\u003Cb>Key Features\u003C\u002Fb>\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cp>\u003Cb>Date Field Transformation\u003C\u002Fb>: Convert dates to hierarchical units like year, month, week\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cp>Truncate: Round down to specified units (e.g., 2025-01-15 → 2025-01-01)\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>Extract: Extract specific components (e.g., 2025-01-15 → 15)\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cb>Bar Chart (Drill-Down)\u003C\u002Fb>: Display hierarchical data as bar charts and click to drill down\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cp>Breadcrumb navigation shows current position for easy navigation back\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>Smooth animated transitions\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003C\u002Fli>\u003C\u002Ful>\u003Cp>\u003Cb>Use Cases\u003C\u002Fb>\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cp>\u003Cb>Progressive Time Series Analysis\u003C\u002Fb>\u003C\u002Fp>\u003Cp>: Drill down through Year → Month → Week hierarchy to instantly examine specific periods\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cb>Intra-Month Pattern Analysis\u003C\u002Fb>\u003C\u002Fp>\u003Cp>: Extract DAY from dates to aggregate same days across multiple months, like post-payday sales trends\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cb>Regional × Temporal Cross-Analysis\u003C\u002Fb>\u003C\u002Fp>\u003Cp>: Combine Region → Prefecture with Year → Month for multidimensional analysis\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cb>Product Category Trends\u003C\u002Fb>\u003C\u002Fp>\u003Cp>: Drill down Major → Minor category hierarchy by month to identify trends\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003Cp>For setup instructions and details, please refer to our \u003Ca href=\"https:\u002F\u002Fdocs.codatum.com\u002Fdata-exploration\u002Fchart\u002Fhierarchy-chart#:~:text=Render%20Type%20Specifications\" target=\"_blank\" rel=\"noopener noreferrer\">support documentation\u003C\u002Fa>.\u003C\u002Fp>\u003Cp>※Specifications are subject to change without notice.\u003C\u002Fp>\u003Cp>We'd love to hear your feedback and suggestions about our chart features!\u003C\u002Fp>",[35],{"id":11,"name":12},"https:\u002F\u002Fvideos.ctfassets.net\u002Fggtw2zqmifs5\u002F1LfNxXxkEKVrtOWtlu49MU\u002F2b8fbb7de713d189c80a403d2636424d\u002F%C3%A9__%C3%A5__%C3%A3__%C3%A3__%C3%A3__%C3%A3__%C3%A3__%C3%A5__%C3%A6__%C3%A6__%C3%A8__.mp4","https:\u002F\u002Fimages.ctfassets.net\u002Fggtw2zqmifs5\u002F2DoCWQSKEAFZDOMhH2TJOB\u002Fe1b4b08db9c4709a068cce8842a15132\u002F%C3%A3__%C3%A3__%C3%A3_%C2%AA%C3%A3__%C3%A3__%C3%A3__%C3%A3__%C3%A3__%C3%A3___2026-01-09_13.22.55.png","2026-01-23T00:03:40.242Z","2026-01-23T06:53:41.010Z","2026-01-23T00:00+09:00",{"id":42,"title":43,"slug":44,"description":45,"body":46,"tags":47,"coverUrl":7,"coverMediaUrl":49,"ogImageUrl":49,"createdAt":50,"updatedAt":51,"datePublished":52,"locale":17},"6teYjxTugQ4CAvHvPoUXlp","Signed Embed SDK is Now Available ","signed-embed-sdk-is-now-available","We’ve launched an official JavaScript SDK for integrating Signed Embed into web applications.","\u003Cp>We’ve launched our JavaScript SDK, for integrating Signed Embed into web applications. By covering processes that previously required custom implementation, the SDK enables a more stable embedding experience with significantly less effort. Give it a try!\u003C\u002Fp>\u003Ch2>\u003Cb>Key features\u003C\u002Fb>\u003C\u002Fh2>\u003Cul>\u003Cli>\u003Cp>\u003Cb>Automatic token refresh:\u003C\u002Fb> Automatically fetches a new token before the current one expires, preventing errors while users are interacting with the embedded content.\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cb>Loading state control:\u003C\u002Fb> Handles loading state UI behavior to reduce implementation overhead.\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cb>Less effort, more stability:\u003C\u002Fb> Offloads common logic to the SDK so you can keep your codebase smaller while ensuring reliable behavior.\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003Cp>Signed Embed is an optional add-on for the Enterprise plan. \u003C\u002Fp>\u003Cp>For setup instructions and details, please refer to our \u003Ca href=\"https:\u002F\u002Fdocs.codatum.com\u002Fsharing\u002Fsigned-embed\u002Fintegration\" target=\"_blank\" rel=\"noopener noreferrer\">support documentation\u003C\u002Fa>.\u003C\u002Fp>\u003Cp>\u003Ci>Specifications are subject to change without notice.\u003C\u002Fi>\u003C\u002Fp>\u003Cp>We hope this helps support your data analysis workflows. If you have any feedback or feature requests, we’d love to hear from you.\u003C\u002Fp>",[48],{"id":11,"name":12},"https:\u002F\u002Fimages.ctfassets.net\u002Fggtw2zqmifs5\u002F1XqvFAiVL9c98w8YHduNKk\u002F12ae1a5ac9eb6a5eb8d64cf98cf85022\u002F%C3%A3__%C3%A3__%C3%A3_%C2%AA%C3%A3__%C3%A3__%C3%A3__%C3%A3__%C3%A3__%C3%A3___2026-03-05_8.23.25.png","2026-03-04T23:00:12.592Z","2026-03-04T23:46:59.990Z","2026-03-04T00:00+09:00",{"id":54,"title":55,"slug":56,"description":7,"body":57,"tags":58,"coverUrl":7,"coverMediaUrl":60,"ogImageUrl":60,"createdAt":61,"updatedAt":62,"datePublished":63,"locale":17},"6P5OI12m9T9ITt3iI8PA58","Waterfall Chart is Now Available","waterfall-chart-is-now-available","\u003Cp>We've added a new \u003Cb>Waterfall Chart\u003C\u002Fb> to help you visually represent step-by-step increases and decreases in your data. You can now intuitively track cumulative changes driven by multiple factors — such as revenue, expenses, and balances — making financial analysis and variance analysis easier than ever. Give it a try!\u003C\u002Fp>\u003Cp>\u003Cb>Key Features\u003C\u002Fb>\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cp>\u003Cb>Step-by-step visualization\u003C\u002Fb>\u003C\u002Fp>\u003Cp>: Increases and decreases at each step are color-coded, giving you an at-a-glance view of the overall flow\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cb>Flexible label configuration\u003C\u002Fb>\u003C\u002Fp>\u003Cp>: Specify a dimension column to freely define the stages and categories you want to analyze\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cb>Cumulative value display\u003C\u002Fb>\u003C\u002Fp>\u003Cp>: Track the running total at each stage, from starting value to final result\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003Cp>\u003Cb>Use Cases\u003C\u002Fb>\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cp>\u003Cb>P&L analysis\u003C\u002Fb>\u003C\u002Fp>\u003Cp>: Clearly show the flow from opening balance through revenue, expenses, and other changes to the closing balance\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cb>Cash flow visualization\u003C\u002Fb>\u003C\u002Fp>\u003Cp>: Break down cash inflows and outflows by factor to understand how funds moved over a period\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cb>Budget vs. actuals\u003C\u002Fb>\u003C\u002Fp>\u003Cp>: Highlight the sources of variance step by step to pinpoint the root causes of discrepancies\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003Cp>For setup details and more, please refer to our\u003Ca href=\"https:\u002F\u002Fdocs.codatum.com\u002Fdata-exploration\u002Fchart\u002Fwaterfall-chart\" target=\"_blank\" rel=\"noopener noreferrer\"> support documentation\u003C\u002Fa>.\u003C\u002Fp>\u003Cp>\u003Ci>Specifications are subject to change without notice.\u003C\u002Fi>\u003C\u002Fp>\u003Cp>We hope this helps take your data analysis to the next level!\u003Cbr>We'd love to hear your feedback and feature requests.\u003C\u002Fp>",[59],{"id":11,"name":12},"https:\u002F\u002Fimages.ctfassets.net\u002Fggtw2zqmifs5\u002F6xZ74IKO58fkmuMJhqITRt\u002F2680218e0e8e0aa2a5fb3b39f2928882\u002F%C3%A3__%C3%A3__%C3%A3_%C2%AA%C3%A3__%C3%A3__%C3%A3__%C3%A3__%C3%A3__%C3%A3___2026-03-12_18.01.43.png","2026-03-12T23:30:10.242Z","2026-03-13T01:27:46.756Z","2026-03-13T00:00+09:00"]