{"id":1806,"date":"2026-07-21T09:00:00","date_gmt":"2026-07-21T14:00:00","guid":{"rendered":"https:\/\/tolinku.com\/blog\/?p=1806"},"modified":"2026-03-07T03:37:23","modified_gmt":"2026-03-07T08:37:23","slug":"analytics-visualization","status":"publish","type":"post","link":"https:\/\/tolinku.com\/blog\/analytics-visualization\/","title":{"rendered":"Visualizing Deep Link Data: Charts and Dashboards"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">A table of 10,000 rows tells you nothing. A line chart showing a 40% drop in app open rates on Tuesday tells you exactly when something broke. Visualization turns deep link data into decisions. But the wrong chart type obscures the insight you are trying to communicate.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This guide covers how to visualize deep link analytics. For dashboard design, see <a href=\"https:\/\/tolinku.com\/blog\/real-time-analytics-dashboards\/\">real-time analytics dashboards for deep links<\/a>. For the full analytics overview, see <a href=\"https:\/\/tolinku.com\/blog\/deep-link-analytics-measuring-what-matters\/\">deep link analytics: measuring what matters<\/a>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><img decoding=\"async\" src=\"https:\/\/tolinku.com\/blog\/wp-content\/uploads\/2026\/03\/platform-analytics-clicks-chart.png\" alt=\"Tolinku analytics clicks over time chart\">\n<em>The clicks over time line chart from the analytics page with date range controls.<\/em><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Choosing the Right Chart Type<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Chart Types for Deep Link Data<\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table>\n<thead>\n<tr>\n<th>Data Type<\/th>\n<th>Best Chart<\/th>\n<th>Why<\/th>\n<\/tr>\n<\/thead>\n<tbody><tr>\n<td>Trend over time (clicks, conversions)<\/td>\n<td>Line chart<\/td>\n<td>Shows direction and rate of change<\/td>\n<\/tr>\n<tr>\n<td>Channel comparison (clicks by source)<\/td>\n<td>Bar chart (horizontal)<\/td>\n<td>Easy to compare categories<\/td>\n<\/tr>\n<tr>\n<td>Funnel (click to conversion)<\/td>\n<td>Funnel chart<\/td>\n<td>Shows drop-off at each stage<\/td>\n<\/tr>\n<tr>\n<td>Distribution (clicks by country)<\/td>\n<td>Choropleth map<\/td>\n<td>Geographic patterns at a glance<\/td>\n<\/tr>\n<tr>\n<td>Composition (iOS vs Android share)<\/td>\n<td>Stacked bar or donut<\/td>\n<td>Shows parts of a whole<\/td>\n<\/tr>\n<tr>\n<td>Correlation (clicks vs conversions)<\/td>\n<td>Scatter plot<\/td>\n<td>Reveals relationships between metrics<\/td>\n<\/tr>\n<tr>\n<td>Single metric (today&#39;s conversion rate)<\/td>\n<td>KPI card \/ big number<\/td>\n<td>Focuses attention on one value<\/td>\n<\/tr>\n<\/tbody><\/table><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">Common Mistakes<\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Pie charts for more than 5 categories.<\/strong> A pie chart with 12 slices is unreadable. Use a horizontal bar chart instead.<\/li>\n<li><strong>Dual-axis charts.<\/strong> Two y-axes create ambiguity. Use separate charts or normalize the data.<\/li>\n<li><strong>3D charts.<\/strong> They distort proportions and add no information. Always use 2D.<\/li>\n<li><strong>Truncated y-axis.<\/strong> Starting the y-axis at a non-zero value exaggerates small changes. Only truncate when the audience understands the context.<\/li>\n<li><strong>Too many lines on one chart.<\/strong> More than 4-5 lines becomes spaghetti. Highlight the 2-3 most important and group the rest as &quot;other.&quot;<\/li>\n<\/ol>\n\n\n\n<h2 class=\"wp-block-heading\">Core Visualizations<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Click Trend Line<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">The most basic and most useful chart: clicks over time.<\/p>\n\n\n\n<pre><code>Daily Deep Link Clicks (July 2026)\n\nClicks\n5,000 |                          \u25cf\n4,500 |              \u25cf  \u25cf       \u25cf \u25cf\n4,000 |         \u25cf  \u25cf    \u25cf  \u25cf       \u25cf\n3,500 |    \u25cf  \u25cf                      \u25cf\n3,000 |  \u25cf                              \u25cf\n2,500 |\u25cf                                  \u25cf  (weekend drop)\n      \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n       1   3   5   7   9  11  13  15  17  19  21\n<\/code><\/pre>\n\n\n\n<p class=\"wp-block-paragraph\">Add annotations for events (campaign launches, configuration changes, outages) so the audience understands why the line moved.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Conversion Funnel<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Show the drop-off at each stage:<\/p>\n\n\n\n<pre><code>Email Campaign &quot;Summer Sale&quot; Funnel\n\n  Email Sent          \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588  50,000 (100%)\n  Email Opened        \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                  30,000 (60%)\n  Link Clicked        \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                          18,000 (36%)\n  App Opened          \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                              14,400 (29%)\n  Target Screen       \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                               13,200 (26%)\n  CTA Tapped          \u2588\u2588\u2588\u2588\u2588\u2588                                     6,600 (13%)\n  Converted           \u2588\u2588\u2588\u2588                                       2,050 (4.1%)\n<\/code><\/pre>\n\n\n\n<p class=\"wp-block-paragraph\">The biggest relative drop is &quot;CTA Tapped to Converted&quot; (31%). But the biggest absolute drop is &quot;Email Sent to Email Opened&quot; (20,000 users lost). Focus optimization on the stage with the largest absolute loss.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Channel Comparison<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Horizontal bar chart comparing channels:<\/p>\n\n\n\n<pre><code>Conversions by Channel (July 2026)\n\n  Email           \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588  2,050\n  Push            \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                1,200\n  Organic Social  \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588                                450\n  Paid Social     \u2588\u2588\u2588\u2588\u2588                                   280\n  QR Codes        \u2588\u2588\u2588                                     120\n<\/code><\/pre>\n\n\n\n<p class=\"wp-block-paragraph\">Sort by the metric you want to emphasize (conversions, ROAS, CPA). Do not sort alphabetically.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Platform Distribution<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Donut chart or stacked bar showing iOS vs Android:<\/p>\n\n\n\n<pre><code>Click Distribution by Platform\n\n  \u250c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510\n  \u2502  iOS      55%  \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588  \u2502\n  \u2502  Android  40%  \u2588\u2588\u2588\u2588\u2588\u2588    \u2502\n  \u2502  Desktop   5%  \u2588         \u2502\n  \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518\n<\/code><\/pre>\n\n\n\n<h2 class=\"wp-block-heading\">Dashboard Layout<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Executive Dashboard<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">An executive dashboard should fit on one screen and answer: &quot;Are we on track?&quot;<\/p>\n\n\n\n<pre><code>\u250c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510\n\u2502  DEEP LINK PERFORMANCE: JULY 2026                    \u2502\n\u251c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u252c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u252c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u252c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u252c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2524\n\u2502  Clicks  \u2502  Opens   \u2502  Conv.   \u2502  Revenue \u2502  ROAS   \u2502\n\u2502  45,200  \u2502  32,500  \u2502  4,100   \u2502  $82,000 \u2502  234%   \u2502\n\u2502  +12%    \u2502  +8%     \u2502  +15%    \u2502  +18%    \u2502  +14%   \u2502\n\u251c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2524\n\u2502  [Click Trend Line Chart - 30 days]                  \u2502\n\u251c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u252c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2524\n\u2502  [Channel Bar Chart]   \u2502  [Conversion Funnel]        \u2502\n\u251c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2524\n\u2502  [Top 5 Campaigns]     \u2502  [Platform Donut]           \u2502\n\u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518\n<\/code><\/pre>\n\n\n\n<p class=\"wp-block-paragraph\">Rules for executive dashboards:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>One screen, no scrolling.<\/li>\n<li>KPI cards at the top with trend indicators (up\/down arrows, % change).<\/li>\n<li>4-6 charts maximum.<\/li>\n<li>Comparison to previous period or target on every metric.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Operations Dashboard<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">An operations dashboard monitors real-time health:<\/p>\n\n\n\n<pre><code>\u250c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510\n\u2502  DEEP LINK HEALTH: REAL-TIME                         \u2502\n\u251c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u252c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u252c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u252c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u252c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2524\n\u2502  Open    \u2502  Fallback\u2502  Error   \u2502  Avg     \u2502  P99    \u2502\n\u2502  Rate    \u2502  Rate    \u2502  Rate    \u2502  Latency \u2502 Latency \u2502\n\u2502  72%  \u2713  \u2502  22%  \u2713  \u2502  0.3% \u2713  \u2502  320ms \u2713 \u2502  890ms \u26a0\u2502\n\u251c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2524\n\u2502  [Open Rate - Last 24h, by hour]                     \u2502\n\u251c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u252c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2524\n\u2502  [Errors by Route]     \u2502  [Latency Distribution]     \u2502\n\u251c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2524\n\u2502  [Platform Open Rates] \u2502  [Recent Alerts]             \u2502\n\u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518\n<\/code><\/pre>\n\n\n\n<p class=\"wp-block-paragraph\">Use traffic lights (green\/yellow\/red) or status indicators for threshold-based metrics.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Advanced Visualizations<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Cohort Heatmap<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">A retention heatmap shows how cohorts perform over time:<\/p>\n\n\n\n<pre><code>Retention Heatmap (% returning)\n\n              Day 1   Day 7   Day 14  Day 30\nWeek 1 (Jun)   38%     18%     12%     8%\nWeek 2 (Jun)   40%     20%     14%     9%\nWeek 3 (Jul)   42%     22%     15%    10%\nWeek 4 (Jul)   45%     24%      -      -\n\nColor: Dark green (high) \u2192 Yellow \u2192 Red (low)\n<\/code><\/pre>\n\n\n\n<p class=\"wp-block-paragraph\">This format quickly reveals whether retention is improving week over week.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Sankey Diagram<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">A Sankey diagram shows how traffic flows through your deep link ecosystem:<\/p>\n\n\n\n<pre><code>Source          \u2192  Outcome         \u2192  Action\n\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\nEmail (18K)    \u2500\u2500\u2192 App Open (14K)  \u2500\u2500\u2192 Convert (2K)\n               \u2500\u2500\u2192 Fallback (3K)  \u2500\u2500\u2192 Web Convert (300)\n               \u2500\u2500\u2192 Store (1K)     \u2500\u2500\u2192 Install (400)\n\nPush (15K)     \u2500\u2500\u2192 App Open (12K) \u2500\u2500\u2192 Convert (1.2K)\n               \u2500\u2500\u2192 Error (200)\n\nSocial (5K)    \u2500\u2500\u2192 App Open (3K)  \u2500\u2500\u2192 Convert (450)\n               \u2500\u2500\u2192 Fallback (1.5K)\n               \u2500\u2500\u2192 Store (500)\n<\/code><\/pre>\n\n\n\n<p class=\"wp-block-paragraph\">Sankey diagrams are complex but powerful for understanding flow distribution. Use them in monthly or quarterly reports, not daily dashboards.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Geographic Heatmap<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Show clicks or conversions on a map:<\/p>\n\n\n\n<pre><code class=\"language-typescript\">interface MapDataPoint {\n  country: string;\n  value: number;\n  metric: &#39;clicks&#39; | &#39;conversions&#39; | &#39;open_rate&#39;;\n}\n\nfunction buildMapVisualization(data: MapDataPoint[]) {\n  \/\/ Choropleth map with color intensity based on value\n  const maxValue = Math.max(...data.map(d =&gt; d.value));\n\n  return data.map(point =&gt; ({\n    ...point,\n    intensity: point.value \/ maxValue,\n    color: getColorScale(point.value \/ maxValue) \/\/ green to red\n  }));\n}\n<\/code><\/pre>\n\n\n\n<h2 class=\"wp-block-heading\">Design Principles<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Color<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Use a consistent color palette across all charts.<\/li>\n<li>Reserve red for negative\/bad, green for positive\/good.<\/li>\n<li>Use color to highlight, not decorate. One accent color for the key data series, muted colors for context.<\/li>\n<li>Ensure sufficient contrast for accessibility (WCAG AA minimum).<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Typography<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Dashboard titles: 18-24px, bold.<\/li>\n<li>KPI numbers: 28-36px, bold.<\/li>\n<li>Chart labels: 12-14px, regular.<\/li>\n<li>Annotations: 11-12px, italic or muted color.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Data Density<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Edward Tufte&#39;s principle: maximize the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Chartjunk\" rel=\"nofollow noopener\" target=\"_blank\">data-ink ratio<\/a>. Remove gridlines, borders, and decorations that do not convey information.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Remove chart borders and backgrounds.<\/li>\n<li>Use light gridlines or none at all.<\/li>\n<li>Label data points directly instead of using a separate legend when possible.<\/li>\n<li>Remove axis labels if the meaning is obvious from context.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Implementation<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Building with Chart Libraries<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Popular charting libraries for deep link dashboards:<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table>\n<thead>\n<tr>\n<th>Library<\/th>\n<th>Language<\/th>\n<th>Best For<\/th>\n<\/tr>\n<\/thead>\n<tbody><tr>\n<td><a href=\"https:\/\/www.chartjs.org\/\" rel=\"nofollow noopener\" target=\"_blank\">Chart.js<\/a><\/td>\n<td>JavaScript<\/td>\n<td>Simple, quick dashboards<\/td>\n<\/tr>\n<tr>\n<td><a href=\"https:\/\/d3js.org\/\" rel=\"nofollow noopener\" target=\"_blank\">D3.js<\/a><\/td>\n<td>JavaScript<\/td>\n<td>Custom, complex visualizations<\/td>\n<\/tr>\n<tr>\n<td><a href=\"https:\/\/recharts.org\/\" rel=\"nofollow noopener\" target=\"_blank\">Recharts<\/a><\/td>\n<td>React<\/td>\n<td>React-based dashboards<\/td>\n<\/tr>\n<tr>\n<td><a href=\"https:\/\/echarts.apache.org\/\" rel=\"nofollow noopener\" target=\"_blank\">Apache ECharts<\/a><\/td>\n<td>JavaScript<\/td>\n<td>Feature-rich, interactive<\/td>\n<\/tr>\n<tr>\n<td><a href=\"https:\/\/plotly.com\/\" rel=\"nofollow noopener\" target=\"_blank\">Plotly<\/a><\/td>\n<td>Python\/JS<\/td>\n<td>Data science, exploration<\/td>\n<\/tr>\n<\/tbody><\/table><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">Example: Trend Chart with Recharts<\/h3>\n\n\n\n<pre><code class=\"language-tsx\">import { LineChart, Line, XAxis, YAxis, Tooltip, ResponsiveContainer } from &#39;recharts&#39;;\n\nfunction ClickTrendChart({ data }: { data: { date: string; clicks: number; conversions: number }[] }) {\n  return (\n    &lt;ResponsiveContainer width=&quot;100%&quot; height={300}&gt;\n      &lt;LineChart data={data}&gt;\n        &lt;XAxis dataKey=&quot;date&quot; \/&gt;\n        &lt;YAxis \/&gt;\n        &lt;Tooltip \/&gt;\n        &lt;Line type=&quot;monotone&quot; dataKey=&quot;clicks&quot; stroke=&quot;#3b82f6&quot; strokeWidth={2} \/&gt;\n        &lt;Line type=&quot;monotone&quot; dataKey=&quot;conversions&quot; stroke=&quot;#10b981&quot; strokeWidth={2} \/&gt;\n      &lt;\/LineChart&gt;\n    &lt;\/ResponsiveContainer&gt;\n  );\n}\n<\/code><\/pre>\n\n\n\n<h2 class=\"wp-block-heading\">Tolinku for Analytics Visualization<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/tolinku.com\/features\/analytics\">Tolinku&#39;s analytics<\/a> include built-in charts and funnels for deep link performance data. View click trends, channel comparisons, and conversion funnels in the <a href=\"https:\/\/tolinku.com\/docs\/user-guide\/analytics\/charts-and-funnels\/\">Tolinku dashboard<\/a>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For campaign reporting, see <a href=\"https:\/\/tolinku.com\/blog\/campaign-performance-reports\/\">campaign performance reports for deep links<\/a>. For real-time dashboards, see <a href=\"https:\/\/tolinku.com\/blog\/real-time-analytics-dashboards\/\">real-time analytics dashboards for deep links<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Create compelling visualizations for deep link data. Choose the right chart types, build executive dashboards, and tell data stories.<\/p>\n","protected":false},"author":2,"featured_media":1805,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"rank_math_title":"Visualizing Deep Link Data: Charts and Dashboards","rank_math_description":"Create compelling visualizations for deep link data. Choose the right chart types, build executive dashboards, and tell data stories.","rank_math_focus_keyword":"analytics visualization","rank_math_canonical_url":"","rank_math_facebook_title":"","rank_math_facebook_description":"","rank_math_facebook_image":"https:\/\/tolinku.com\/blog\/wp-content\/uploads\/2026\/03\/og-analytics-visualization.png","rank_math_facebook_image_id":"","rank_math_twitter_title":"","rank_math_twitter_description":"","rank_math_twitter_image":"https:\/\/tolinku.com\/blog\/wp-content\/uploads\/2026\/03\/og-analytics-visualization.png","footnotes":""},"categories":[14],"tags":[37,547,528,529,20,132,69,345],"class_list":["post-1806","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-analytics","tag-analytics","tag-charts","tag-dashboards","tag-data-visualization","tag-deep-linking","tag-design","tag-mobile-development","tag-reporting"],"_links":{"self":[{"href":"https:\/\/tolinku.com\/blog\/wp-json\/wp\/v2\/posts\/1806","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/tolinku.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/tolinku.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/tolinku.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/tolinku.com\/blog\/wp-json\/wp\/v2\/comments?post=1806"}],"version-history":[{"count":2,"href":"https:\/\/tolinku.com\/blog\/wp-json\/wp\/v2\/posts\/1806\/revisions"}],"predecessor-version":[{"id":2421,"href":"https:\/\/tolinku.com\/blog\/wp-json\/wp\/v2\/posts\/1806\/revisions\/2421"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/tolinku.com\/blog\/wp-json\/wp\/v2\/media\/1805"}],"wp:attachment":[{"href":"https:\/\/tolinku.com\/blog\/wp-json\/wp\/v2\/media?parent=1806"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/tolinku.com\/blog\/wp-json\/wp\/v2\/categories?post=1806"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/tolinku.com\/blog\/wp-json\/wp\/v2\/tags?post=1806"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}