refresh part 3 notebook

Author: mebauer

1-reading-writing-files.ipynb

@@ -4082,7 +4082,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "In this notebook, we reviewed various ways to read (load) and write (save) data from NYC Open Data. Specifically, we focused on reading our data into a pandas dataframe. We also went over common file formats that you might encounter - CSV, JSON, Shapefiles, and ZIP files. In Part II, we will focus on basic data inspection and wrangling techniques in the data analysis workflow."
+    "In this notebook, we reviewed various ways to read (load) and write (save) data from NYC Open Data. Specifically, we focused on reading our data into a pandas dataframe. We also went over common file formats that you might encounter - CSV, JSON, Shapefiles, and ZIP files. In Part 2, we will focus on basic data inspection and wrangling techniques in the data analysis workflow."
    ]
   },
   {

2-data-inspection-cleaning-wrangling.ipynb

@@ -0,0 +1 @@
+ISO-8859-1

3-plotting-visualizations.ipynb

@@ -0,0 +1 @@
+GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]]