diff --git a/gapminder.ipynb b/gapminder.ipynb
index 48453a2..78f16fe 100644
--- a/gapminder.ipynb
+++ b/gapminder.ipynb
@@ -50,6 +50,15 @@
     "dataset = pd.read_csv(url)"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dataset.sample(10)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -71,10 +80,12 @@
     "    xlabel = 'GDP per capita (2000 dollars)'\n",
     "    ylabel = 'Life expectancy (years)'\n",
     "    ylim = (20, 90)\n",
+    "    \n",
     "\n",
     "    def get_data(self):\n",
     "        df = dataset[(dataset.year==self.year) & (dataset.gdpPercap < 10000)].copy()\n",
     "        df['size'] = np.sqrt(df['pop']*2.666051223553066e-05)\n",
+    "        self.xlim = (df['gdpPercap'].min()-100,df['gdpPercap'].max()+1000)\n",
     "        return df\n",
     "    \n",
     "    def mpl_view(self):\n",
@@ -83,11 +94,12 @@
     "        \n",
     "        plot = plt.figure(figsize=(7, 6))\n",
     "        ax = plot.add_subplot(111)\n",
-    "        ax.set_xscale(\"log\", nonposx='clip')\n",
+    "        ax.set_xscale(\"log\")\n",
     "        ax.set_title(title)\n",
     "        ax.set_xlabel(self.xlabel)\n",
     "        ax.set_ylabel(self.ylabel)\n",
     "        ax.set_ylim(self.ylim)\n",
+    "        ax.set_xlim(self.xlim)\n",
     "\n",
     "        for continent, df in data.groupby('continent'):\n",
     "            ax.scatter(df.gdpPercap, y=df.lifeExp, s=df['size']*5,\n",
@@ -106,7 +118,7 @@
     "        traces = []\n",
     "        for continent, df in data.groupby('continent'):\n",
     "            marker=dict(symbol='circle', sizemode='area', sizeref=0.1, size=df['size'], line=dict(width=2))\n",
-    "            traces.append(go.Scatter(x=df.gdpPercap, y=df.lifeExp, mode='markers', marker=marker, name=continent))\n",
+    "            traces.append(go.Scatter(x=df.gdpPercap, y=df.lifeExp, mode='markers', marker=marker, name=continent, text=df.country))\n",
     "        \n",
     "        axis_opts = dict(gridcolor='rgb(255, 255, 255)', zerolinewidth=1, ticklen=5, gridwidth=2)\n",
     "        layout = go.Layout(title=title, showlegend=self.show_legend, width=550,\n",
@@ -124,16 +136,17 @@
     "            alt.X('gdpPercap:Q', scale=alt.Scale(type='log'), axis=alt.Axis(title=self.xlabel)),\n",
     "            alt.Y('lifeExp:Q', scale=alt.Scale(zero=False, domain=self.ylim), axis=alt.Axis(title=self.ylabel)),\n",
     "            size=alt.Size('pop:Q', scale=alt.Scale(type=\"log\"), legend=None),\n",
-    "            color=alt.Color('continent', scale=alt.Scale(scheme=\"category10\"), **legend))\\\n",
+    "            color=alt.Color('continent', scale=alt.Scale(scheme=\"category10\"), **legend),\n",
+    "            tooltip=['continent','country'])\\\n",
     "            .properties(title=title).configure_axis(grid=False)\n",
-    "        return plot\n",
+    "        return plot.interactive()\n",
     "    \n",
     "    def hvplot_view(self):\n",
     "        data  = self.get_data()\n",
     "        title = \"hvPlot/Bokeh: \" + (self.title % self.year)\n",
     "        \n",
     "        plot  = data.hvplot.scatter('gdpPercap', 'lifeExp', by='continent', s='size',\n",
-    "                  logx=True, title=title, width=500, height=400, legend=self.show_legend)\n",
+    "                  logx=True, title=title, width=500, height=400, legend=self.show_legend, hover_cols=['country'])\n",
     "        plot  = plot.options(legend_position='bottom_right', xticks=[500, 1000, 2000, 5000, 10000])\n",
     "        plot  = plot.redim.label(gdpPercap=self.xlabel, lifeExp=self.ylabel)\n",
     "        plot  = plot.redim.range(lifeExp=self.ylim, gdpPercap=(200, 12000))\n",
@@ -223,7 +236,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.0"
+   "version": "3.7.3"
   }
  },
  "nbformat": 4,