diff --git a/README.md b/README.md
index 181afcb..d47a7b4 100644
--- a/README.md
+++ b/README.md
@@ -65,6 +65,8 @@ Aim: A Collection of Useful Data Science and Machine Learning Tools,Libraries an
 - probscale: easily make probability scaled axis: https://github.com/matplotlib/mpl-probscale
 - adjustText: easily add non-overlapping annotated text (https://github.com/Phlya/adjustText/blob/master/docs/source/Examples.ipynb)
 - make MATPLOTLIB animations with animatplot: https://animatplot.readthedocs.io/en/stable/
+- [D-Tale](https://github.com/man-group/dtale): Visualizer for pandas data strucutres
+   - [Covid-19 chart example](./dtale_COVID-19.ipynb)
 
 ### Machine Learning/Deep Learning/Model Building
 - Scikitlearn
diff --git a/dtale_COVID-19.ipynb b/dtale_COVID-19.ipynb
new file mode 100644
index 0000000..ff33c41
--- /dev/null
+++ b/dtale_COVID-19.ipynb
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+       "\n",
+       "// Listen for the removal of the full notebook cells\n",
+       "var notebookContainer = gd.closest('#notebook-container');\n",
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+       "            </script>\n",
+       "        </div>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import dtale\n",
+    "from dtale.cli.loaders.csv_loader import loader_func as load_csv\n",
+    "\n",
+    "def _testdata_loader():\n",
+    "    import pandas as pd\n",
+    "\n",
+    "    data = load_csv(\n",
+    "        path='https://raw.githubusercontent.com/nytimes/covid-19-data/master/us-states.csv',\n",
+    "        parse_dates=['date']\n",
+    "    )\n",
+    "    codes = load_csv(\n",
+    "        path='https://raw.githubusercontent.com/jasonong/List-of-US-States/master/states.csv',\n",
+    "    )\n",
+    "    codes = codes.set_index('State').to_dict()['Abbreviation']\n",
+    "    data['state_code'] = data['state'].map(codes)\n",
+    "    return data\n",
+    "\n",
+    "df = _testdata_loader()\n",
+    "d = dtale.show(df)\n",
+    "d.offline_chart(chart_type='bar', x='state', y='deaths', agg='max')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
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+   "language": "python",
+   "name": "python3"
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+}