Merge pull request #10 from NicholasCote/develop_negin

adding some minor edits

notebooks/03_intro_to_interactive_viz_hvplot.ipynb

@@ -5,7 +5,9 @@
    "id": "e5b8ce18-19f4-4535-b764-684402d18275",
    "metadata": {},
    "source": [
-    "# Creating a Basic Interactive Dashboard with `hvPlot` and `Panel`"
+    "<img src=\"images/ProjectPythia_Logo_Final-01-Blue.svg\" width=250 alt=\"Project Pythia Logo\"> \n",
+    "\n",
+    "# Creating a Basic Interactive Dashboard with `hvPlot`"
    ]
   },
   {
@@ -15,12 +17,12 @@
    "source": [
     "## Overview\n",
     "\n",
-    "Interactive visualuzation is ...\n",
+    "ERA-5 Dataset is available from NCAR RDA in netcdf format. A subset of this dataset is processed into Zarr format and available from NCAR RDA endpoints. To learn how you can create Zarr files from NCAR RDA netcdf files, please see [this notebook](./05_data_preprocessing.ipynb).\n",
+    "\n",
     "\n",
     "By the end of this notebook, you should be able to:\n",
-    "* Understand the necessecity for interactive plots and the challenges associated with them\n",
-    "* Use `hvPlot` to generate basic interactive plots with `Xarray`\n",
-    "* Create an interactive dashboard for visualuzing geoscience datasets using `Panel` and `hvPlot`"
+    "* Understand the importance for interactive plots and the challenges associated with them\n",
+    "* Use `hvPlot` to generate basic interactive plots with `Xarray`"
    ]
   },
   {
@@ -56,9 +58,6 @@
    "outputs": [],
    "source": [
     "import xarray as xr\n",
-    "\n",
-    "import panel as pn\n",
-    "\n",
     "import holoviews as hv\n",
     "from holoviews import opts\n",
     "\n",
@@ -72,7 +71,7 @@
    "source": [
     "## Data\n",
     "\n",
-    "As was discussed in the Data Aquisition ... "
+    "As we mentioned above a subset of NCAR RDA data is available in Zarr format. "
    ]
   },
   {
@@ -87,10 +86,7 @@
     "rda_url = 'https://data.rda.ucar.edu/'\n",
     "annual_means = rda_url + 'pythia_era5_24/annual_means/'\n",
     "xrds = xr.open_dataset(annual_means + \"temp_2m_annual_1940_2023.zarr\", engine= 'zarr')\n",
-    "xrds.load()\n",
-    "\n",
-    "xrds['VAR_2T_ANOM_FROM_1940'] = xrds['VAR_2T'] - xrds['VAR_2T'][0]\n",
-    "xrds"
+    "xrds.load()\n"
    ]
   },
   {
@@ -553,7 +549,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.10.13"
   }
  },
  "nbformat": 4,