units added

3_Pandas.ipynb

@@ -103,8 +103,7 @@
   {
    "cell_type": "markdown",
    "metadata": {
-    "hidden": true,
-    "jp-MarkdownHeadingCollapsed": true
+    "hidden": true
    },
    "source": [
     "(sec:3-data)=\n",
@@ -158,10 +157,10 @@
    "source": [
     "数値はPenn World Tableと呼ばれるデータセットに基づき作成している。\n",
     "* `country`：国名\n",
-    "* `gdp`：国内総生産（Gross Domestic Product）\n",
-    "* `con`：消費（consumption）\n",
-    "* `inv`：投資（investment）\n",
-    "* `pop`：人口（population）\n",
+    "* `gdp`：国内総生産（Gross Domestic Product, current PPPs; in billions 2011US\\$）\n",
+    "* `con`：消費（consumption, current PPPs; in billions 2011US\\$）\n",
+    "* `inv`：投資（investment, current PPPs; in billions 2011US\\$）\n",
+    "* `pop`：人口（population, in millions）\n",
     "* `continent`：大陸（continent）"
    ]
   },
@@ -2485,7 +2484,8 @@
   {
    "cell_type": "markdown",
    "metadata": {
-    "heading_collapsed": true
+    "heading_collapsed": true,
+    "jp-MarkdownHeadingCollapsed": true
    },
    "source": [
     "## 行番号と列ラベル"
@@ -2660,7 +2660,8 @@
   {
    "cell_type": "markdown",
    "metadata": {
-    "heading_collapsed": true
+    "heading_collapsed": true,
+    "jp-MarkdownHeadingCollapsed": true
    },
    "source": [
     "## よく使うメソッド"
@@ -2689,7 +2690,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "数値は日本の四半期データを年平均にしている。\n",
+    "数値は日本の四半期データを年平均（単位：`10`億円）にしている。\n",
     "* `year`：年\n",
     "* `gdp`：国内総生産（Gross Domestic Product）\n",
     "* `con`：消費（consumption）\n",
@@ -4043,7 +4044,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.3"
+   "version": "3.12.2"
   },
   "nteract": {
    "version": "0.15.0"