Change notebook links for github repo.

Formerly, notebook links use data and images stored in Box.
Change this to use github repository.

Author: scottdangelo

data/streamGauges.geojson

@@ -8,7 +8,7 @@
    "source": [
     "# STSA Data Visualization With Python\n",
     "\n",
-    "<img width=\"700\" src=\"https://ibm.box.com/shared/static/gk8bni28qatazqhn6wpwyp8c06ogepcx.png\">\n",
+    "<img width=\"700\" src=\"https://github.com/IBM/visualize-data-with-python/blob/master/doc/source/images/Harvey.png\">\n",
     "\n",
     "NASA TERRA MODIS INFRARED IMAGE OF HARVEY AT 0419 UTC 26 AUGUST 2017 JUST AFTER LANDFALL AS A\n",
     "CATEGORY 4 HURRICANE IN TEXAS. IMAGE COURTESY OF UW/CIMSS.\n",
@@ -140,9 +140,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "!wget \"https://ibm.box.com/shared/static/vtw86pvek6zeqtt64hfubc4cb03aj83y.csv\"\n",
-    "!mv vtw86pvek6zeqtt64hfubc4cb03aj83y.csv HuntingBayou\n",
-    "!ls"
+    "!wget https://raw.githubusercontent.com/IBM/visualize-data-with-python/master/data/HuntingBayou.csv\n"
    ]
   },
   {
@@ -158,7 +156,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "! head -n 35 HuntingBayou"
+    "! head -n 35 HuntingBayou.csv"
    ]
   },
   {
@@ -175,7 +173,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "df = pd.read_csv('HuntingBayou',sep='\\t',skiprows=(0-28),header=(29))"
+    "df = pd.read_csv('HuntingBayou.csv',sep='\\t',skiprows=(0-28),header=(29))"
    ]
   },
   {
@@ -226,7 +224,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's replace the `site_no` with a `site_name` for `HuntingBayou`:"
+    "Let's replace the `site_no` with a `site_name` for `HuntingBayou.csv`:"
    ]
   },
   {
@@ -236,7 +234,7 @@
    "outputs": [],
    "source": [
     "df.rename(columns={'site_no': 'site_name'}, inplace=True)\n",
-    "df['site_name'].replace(\"08075770\", \"HuntingBayou\", inplace=True)"
+    "df['site_name'].replace(\"08075770\", \"HuntingBayou.csv\", inplace=True)"
    ]
   },
   {
@@ -432,13 +430,13 @@
     "  \n",
     "#### 2.7.1 Select _DataFrame Table_ icon in the display widget to see the data in tabular form\n",
     "\n",
-    "<img width=\"500\" src=\"https://ibm.box.com/shared/static/v2m8x90x4h27lsjzvny2mjmavx04cuem.png\">\n",
+    "<img width=\"500\" src=\"https://github.com/IBM/visualize-data-with-python/blob/master/doc/source/selectDataFrameTableIcon.png\">\n",
     "\n",
     "#### 2.7.2 Select the chart icon to pull down and choose `line chart`. Click the `Options` button, and then for `Keys` drag and drop `datetime` and for `Values` drag and drop `Discharge`. This will display the water discharge at this stream gauge in cubic feet per second.\n",
     "\n",
-    "<img width=\"500\" src=\"https://ibm.box.com/shared/static/jqh9t25jv39q5vplx4ecccl10zpoiudr.png\">\n",
+    "<img width=\"500\" src=\"https://github.com/IBM/visualize-data-with-python/blob/master/doc/source/selectLineChart.png\">\n",
     "\n",
-    "<img width=\"500\" src=\"https://ibm.box.com/shared/static/pyot4jkd1j2kxgbtlhvqk35i5w9r91f2.png\">\n",
+    "<img width=\"500\" src=\"https://github.com/IBM/visualize-data-with-python/blob/master/doc/source/chooseDatetimeDischarge.png\">\n",
     "\n",
     "\n",
     "#### 2.7.4  Click the `Options` button, and then for `Keys` drag and drop `datetime` and for `Values` drag and drop `Gauge_Height`. This will display the height of the water at this stream gauge, in feet.\n"
@@ -491,7 +489,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "!wget \"https://ibm.box.com/shared/static/oh717dsl1d63nhomhguoqwpyp1f00psk.csv\""
+    "!wget https://raw.githubusercontent.com/IBM/visualize-data-with-python/master/data/maxFlood.csv\n"
    ]
   },
   {
@@ -500,17 +498,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "!mv oh717dsl1d63nhomhguoqwpyp1f00psk.csv flood.csv\n",
-    "!ls"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "maxFlood = pd.read_csv('flood.csv')"
+    "maxFlood = pd.read_csv('maxFlood.csv')"
    ]
   },
   {
@@ -592,9 +580,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "!wget https://ibm.box.com/shared/static/wo7piia0faxp1vu8cfkmrb5e5olon9l0.geojson\n",
-    "!mv wo7piia0faxp1vu8cfkmrb5e5olon9l0.geojson houstonFlood.geojson\n",
-    "!ls"
+   "!wget https://raw.githubusercontent.com/IBM/visualize-data-with-python/master/data/streamGauges.geojson\n"
    ]
   },
   {
@@ -626,13 +612,13 @@
     "\n",
     "        self.setLayers([\n",
     "        {\n",
-    "            \"name\": \"Houston Flood\",\n",
-    "            \"url\": \"https://ibm.box.com/shared/static/wo7piia0faxp1vu8cfkmrb5e5olon9l0.geojson\",\n",
+    "            \"name\": \"Houston Flooded Streets\",\n",
+    "            \"url\": \"https://raw.githubusercontent.com/IBM/visualize-data-with-python/master/data/houston.geojson\",\n",
     "            \"type\": \"LineString\"\n",
     "        },\n",
     "        {\n",
-    "            \"name\": \"STSA homes\",\n",
-    "            \"url\": \"https://ibm.box.com/shared/static/g4go447ovrwmuwvn6f79leeiqftoys0u.geojson\",\n",
+    "            \"name\": \"Random fictional homes\",\n",
+    "            \"url\": \"https://raw.githubusercontent.com/IBM/visualize-data-with-python/master/data/HoustonFloodedZips250.geojson\",\n",
     "            \"circle-color\": \"rgb(0, 255, 0)\"\n",
     "        }\n",
     "        ])\n",