fix Makefile

.gitignore

@@ -0,0 +1 @@
+.ipynb_checkpoints

Makefile

@@ -6,7 +6,7 @@ build:
 	docker build -f Dockerfile -t ${REPO}/${NAME}:${VERSION} -t ${REPO}/${NAME}:latest .
 
 run: build
-	docker run --rm -it -p 8888:8888 --mount type=bind,source=${PWD},target=/home/jovyan/work --name ${NAME} --workdir=/home/jovyan/work ${REPO}/${NAME}:${VERSION} && make -s clean
+	docker run --rm -it -p 8888:8888 --mount type=bind,source=${PWD},target=/home/jovyan/work --name ${NAME} --workdir=/home/jovyan/work ${REPO}/${NAME}:${VERSION}
 
 push: build
 	docker push ${REPO}/${NAME}:${VERSION} && docker push ${REPO}/${NAME}:latest

facets-dive.ipynb

@@ -27,7 +27,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 2,
    "id": "403c4b8a",
    "metadata": {},
    "outputs": [],
@@ -50,37 +50,46 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "id": "c000f04d",
+   "execution_count": 5,
+   "id": "b512f166",
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "Private             22696\n",
-       "Self-emp-not-inc     2541\n",
-       "Local-gov            2093\n",
-       "?                    1836\n",
-       "State-gov            1298\n",
-       "Self-emp-inc         1116\n",
-       "Federal-gov           960\n",
-       "Without-pay            14\n",
-       "Never-worked            7\n",
-       "Name: workclass, dtype: int64"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 32561 entries, 0 to 32560\n",
+      "Data columns (total 15 columns):\n",
+      " #   Column          Non-Null Count  Dtype \n",
+      "---  ------          --------------  ----- \n",
+      " 0   age             32561 non-null  int64 \n",
+      " 1   workclass       32561 non-null  object\n",
+      " 2   fnlwgt          32561 non-null  int64 \n",
+      " 3   education       32561 non-null  object\n",
+      " 4   education.num   32561 non-null  int64 \n",
+      " 5   marital.status  32561 non-null  object\n",
+      " 6   occupation      32561 non-null  object\n",
+      " 7   relationship    32561 non-null  object\n",
+      " 8   race            32561 non-null  object\n",
+      " 9   sex             32561 non-null  object\n",
+      " 10  capital.gain    32561 non-null  int64 \n",
+      " 11  capital.loss    32561 non-null  int64 \n",
+      " 12  hours.per.week  32561 non-null  int64 \n",
+      " 13  native.country  32561 non-null  object\n",
+      " 14  income          32561 non-null  object\n",
+      "dtypes: int64(6), object(9)\n",
+      "memory usage: 3.7+ MB\n"
+     ]
     }
    ],
    "source": [
-    "df['workclass'].value_counts()"
+    "df.info()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 4,
    "id": "85b71af5",
    "metadata": {},
    "outputs": [],
@@ -91,7 +100,7 @@
     "HTML_TEMPLATE = \"\"\"\n",
     "        <script src=\"https://cdnjs.cloudflare.com/ajax/libs/webcomponentsjs/1.3.3/webcomponents-lite.js\"></script>\n",
     "        <link rel=\"import\" href=\"https://raw.githubusercontent.com/PAIR-code/facets/1.0.0/facets-dist/facets-jupyter.html\">\n",
-    "        <facets-dive sprite-image-width=\"{sprite_size}\" sprite-image-height=\"{sprite_size}\" id=\"elem\" height=\"1200\"></facets-dive>\n",
+    "        <facets-dive sprite-image-width=\"{sprite_size}\" sprite-image-height=\"{sprite_size}\" id=\"elem\" height=\"800\"></facets-dive>\n",
     "        <script>\n",
     "          document.querySelector(\"#elem\").data = {jsonstr};\n",
     "        </script>\"\"\"\n",