diff --git a/src/notebooks/worc_cleaning.ipynb b/src/notebooks/worc_cleaning.ipynb
index 267af60..1ed7f9b 100644
--- a/src/notebooks/worc_cleaning.ipynb
+++ b/src/notebooks/worc_cleaning.ipynb
@@ -418,7 +418,7 @@
    "outputs": [],
    "source": [
     "# Dropping multiple columns based including those with no unique values as well as those that seem unnecessary\n",
-    "cols_to_drop = ['Auto Id','Employment History Name']\n",
+    "cols_to_drop = ['Employment History Name']\n",
     "\n",
     "worc_cols_dropped = worc.drop(columns=cols_to_drop, axis=1)"
    ]
diff --git a/src/notebooks/worc_employment_clean.xlsx b/src/notebooks/worc_employment_clean.xlsx
index cfd8a08..151ff8b 100644
Binary files a/src/notebooks/worc_employment_clean.xlsx and b/src/notebooks/worc_employment_clean.xlsx differ
diff --git a/src/notebooks/worc_employment_plots.ipynb b/src/notebooks/worc_employment_plots.ipynb
index 643170e..d927097 100644
--- a/src/notebooks/worc_employment_plots.ipynb
+++ b/src/notebooks/worc_employment_plots.ipynb
@@ -45,7 +45,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -211,7 +211,7 @@
        "24  First ATP Placement - Already in Tech   23.83  Female  White      SOAR  "
       ]
      },
-     "execution_count": 4,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -240,7 +240,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -253,7 +253,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -339,7 +339,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -364,7 +364,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -398,14 +398,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/var/folders/sw/mf1x4fnn1jg2jq5n72k6mkm80000gn/T/ipykernel_25780/1675383775.py:2: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead.\n",
+      "/var/folders/sw/mf1x4fnn1jg2jq5n72k6mkm80000gn/T/ipykernel_4812/1675383775.py:2: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead.\n",
       "  worc_clean.set_index('Start Date').resample('M').size().plot(kind='line', marker='o', figsize=(10, 4))\n"
      ]
     },
@@ -430,7 +430,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -455,7 +455,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -479,7 +479,58 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Gender\n",
+       "Male      13\n",
+       "Female    12\n",
+       "Name: count, dtype: int64"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Count of Gender\n",
+    "worc_clean['Gender'].value_counts()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ATP Placement Type                     Gender\n",
+      "First ATP Placement - Already in Tech  Female    2\n",
+      "                                       Male      1\n",
+      "First ATP Placement - New to Tech      Female    9\n",
+      "                                       Male      9\n",
+      "First ATP Placement - Promotion        Female    1\n",
+      "                                       Male      3\n",
+      "dtype: int64\n"
+     ]
+    }
+   ],
+   "source": [
+    " # Count of gender by ATP Placement Type\n",
+    "grouped = worc_clean.groupby(['ATP Placement Type', 'Gender']).size()\n",
+    "\n",
+    "print(grouped)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [