Final review and edited

redeat17 · redeat17 · commit b0f76c93df09 · 2020-11-02T00:56:28.000-05:00
diff --git a/.ipynb_checkpoints/pymaceuticals_starter-checkpoint.ipynb b/.ipynb_checkpoints/pymaceuticals_starter-checkpoint.ipynb
@@ -11,14 +11,9 @@
     "* From the selected treatments Capomulin and Ramicane reduces the size of tumors better."
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": []
-  },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 71,
    "metadata": {},
    "outputs": [
     {
@@ -103,7 +98,7 @@
        "4     g791     Ramicane    Male          11          16"
       ]
      },
-     "execution_count": 34,
+     "execution_count": 71,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -127,7 +122,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 72,
    "metadata": {},
    "outputs": [
     {
@@ -206,7 +201,7 @@
        "4     c819          0                45.0                 0"
       ]
      },
-     "execution_count": 35,
+     "execution_count": 72,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2308,6 +2303,7 @@
     "(slope, intercept,rvalue, pvalue, stderr)= linregress(avg_capm_vol[\"Weight (g)\"],avg_capm_vol[\"Tumor Volume (mm3)\"])\n",
     "regress_values=avg_capm_vol[\"Weight (g)\"]* slope + intercept\n",
     "line_eq= f\"y = {round(slope, 2)} x + {round(intercept, 2)}\"\n",
+    "\n",
     "plt.scatter(avg_capm_vol[\"Weight (g)\"],avg_capm_vol[\"Tumor Volume (mm3)\"],color='b')\n",
     "plt.plot(avg_capm_vol[\"Weight (g)\"], regress_values, color='red')\n",
     "plt.annotate(line_eq,(20,36), fontsize=14)\n",
diff --git a/pymaceuticals_starter.ipynb b/pymaceuticals_starter.ipynb
@@ -11,14 +11,9 @@
     "* From the selected treatments Capomulin and Ramicane reduces the size of tumors better."
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": []
-  },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 71,
    "metadata": {},
    "outputs": [
     {
@@ -103,7 +98,7 @@
        "4     g791     Ramicane    Male          11          16"
       ]
      },
-     "execution_count": 34,
+     "execution_count": 71,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -127,7 +122,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 72,
    "metadata": {},
    "outputs": [
     {
@@ -206,7 +201,7 @@
        "4     c819          0                45.0                 0"
       ]
      },
-     "execution_count": 35,
+     "execution_count": 72,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2308,6 +2303,7 @@
     "(slope, intercept,rvalue, pvalue, stderr)= linregress(avg_capm_vol[\"Weight (g)\"],avg_capm_vol[\"Tumor Volume (mm3)\"])\n",
     "regress_values=avg_capm_vol[\"Weight (g)\"]* slope + intercept\n",
     "line_eq= f\"y = {round(slope, 2)} x + {round(intercept, 2)}\"\n",
+    "\n",
     "plt.scatter(avg_capm_vol[\"Weight (g)\"],avg_capm_vol[\"Tumor Volume (mm3)\"],color='b')\n",
     "plt.plot(avg_capm_vol[\"Weight (g)\"], regress_values, color='red')\n",
     "plt.annotate(line_eq,(20,36), fontsize=14)\n",

Original file line number	Diff line number	Diff line change
`@@ -11,14 +11,9 @@`
`11`	`11`	`"* From the selected treatments Capomulin and Ramicane reduces the size of tumors better."`
`12`	`12`	`]`
`13`	`13`	`},`
`14`		`- {`
`15`		`- "cell_type": "markdown",`
`16`		`- "metadata": {},`
`17`		`- "source": []`
`18`		`- },`
`19`	`14`	`{`
`20`	`15`	`"cell_type": "code",`
`21`		`- "execution_count": 34,`
	`16`	`+ "execution_count": 71,`
`22`	`17`	`"metadata": {},`
`23`	`18`	`"outputs": [`
`24`	`19`	`{`
`@@ -103,7 +98,7 @@`
`103`	`98`	`"4 g791 Ramicane Male 11 16"`
`104`	`99`	`]`
`105`	`100`	`},`
`106`		`- "execution_count": 34,`
	`101`	`+ "execution_count": 71,`
`107`	`102`	`"metadata": {},`
`108`	`103`	`"output_type": "execute_result"`
`109`	`104`	`}`
`@@ -127,7 +122,7 @@`
`127`	`122`	`},`
`128`	`123`	`{`
`129`	`124`	`"cell_type": "code",`
`130`		`- "execution_count": 35,`
	`125`	`+ "execution_count": 72,`
`131`	`126`	`"metadata": {},`
`132`	`127`	`"outputs": [`
`133`	`128`	`{`
`@@ -206,7 +201,7 @@`
`206`	`201`	`"4 c819 0 45.0 0"`
`207`	`202`	`]`
`208`	`203`	`},`
`209`		`- "execution_count": 35,`
	`204`	`+ "execution_count": 72,`
`210`	`205`	`"metadata": {},`
`211`	`206`	`"output_type": "execute_result"`
`212`	`207`	`}`
`@@ -2308,6 +2303,7 @@`
`2308`	`2303`	`"(slope, intercept,rvalue, pvalue, stderr)= linregress(avg_capm_vol[\"Weight (g)\"],avg_capm_vol[\"Tumor Volume (mm3)\"])\n",`
`2309`	`2304`	`"regress_values=avg_capm_vol[\"Weight (g)\"]* slope + intercept\n",`
`2310`	`2305`	`"line_eq= f\"y = {round(slope, 2)} x + {round(intercept, 2)}\"\n",`
	`2306`	`+ "\n",`
`2311`	`2307`	`"plt.scatter(avg_capm_vol[\"Weight (g)\"],avg_capm_vol[\"Tumor Volume (mm3)\"],color='b')\n",`
`2312`	`2308`	`"plt.plot(avg_capm_vol[\"Weight (g)\"], regress_values, color='red')\n",`
`2313`	`2309`	`"plt.annotate(line_eq,(20,36), fontsize=14)\n",`