diff --git a/analyse.ipynb b/analyse.ipynb
index 56ed02a9eed20f023a4396c0d17955ebb13d36ce..f0e00450fd6726875fb0fea8676bc068e9848064 100644
--- a/analyse.ipynb
+++ b/analyse.ipynb
@@ -43,11 +43,9 @@
     "exp_time = df [0]\n",
     "cpu_temp = df [1]\n",
     "ir_frame = df.loc[:, 2:769]\n",
-    "v2 = False\n",
-    "## Uncomment below if your lab is after 27 Feb\n",
-    "# v2 = True\n",
-    "# cpu_util = df [770]\n",
-    "# fan_cycl = df [771]"
+    "v2 = True\n",
+    "cpu_util = df [770]\n",
+    "fan_cycl = df [771]"
    ]
   },
   {
@@ -191,7 +189,7 @@
    "metadata": {},
    "source": [
     "## Post-processing data\n",
-    "You can use the gicen code or write your own code to post-prosess the data."
+    "You can use the given code or write your own code to post-prosess the data."
    ]
   },
   {
@@ -204,9 +202,8 @@
     "exp_time_n\n",
     "cpu_temp_n\n",
     "data_array_n\n",
-    "## Uncomment below if your lab is after 27 Feb\n",
-    "# cpu_util_n\n",
-    "# fan_cycl_n"
+    "cpu_util_n\n",
+    "fan_cycl_n"
    ]
   }
  ],
diff --git a/readme.md b/readme.md
index 6a0f0d2756a9d29ee58f5cc48fdeeedae85a3d1b..ceb45485d78f23edf4ca4d577b0d319246783d6e 100644
--- a/readme.md
+++ b/readme.md
@@ -14,7 +14,7 @@ The data files saved to your USB during the lab session should be copy to the ``
 
 ## Installation
 
-You can run the Notebook on your own computer following the instructions below or work online by uploading it to [Google Colab](https://colab.research.google.com/). 
+You can run the Notebook on your own computer following the instructions below OR work online by uploading it to [Google Colab](https://colab.research.google.com/).
 
 ### Initialising virtual environment
 
@@ -46,20 +46,18 @@ pip install numpy matplotlib pandas notebook
 ```
 
 ## Usage
-Start Jupyter Notebook by using the command and setting the path to our working directory ``path/``
+_If you are using Colab_, you might receive an error relating to ``ipympl``, this can be installed by running the following in your notebook
+```
+!pip install ipympl
+```
+
+_If you are running notebook locally_, start Jupyter Notebook by using the command and setting the path to our working directory ``path/``
 ```bash
 jupyter notebook --notebook-dir 'path/'
 ```
 
-Jupyter Notebook should automatically open in your browser and you should be able to navigate from here.
+Jupyter Notebook should then automatically open in your browser and you should be able to navigate from here.
 
-### For lab sessions after 27 Feb
-The ourput data includes CPU utilisation and fan speed. Your are exepcted to use all data in your exported datafile, so please uncomment (removing ``#`` at the start of line) the code to process these data in the notebook.
-```python3
-v2 = True
-cpu_util = df [770]
-fan_cycl = df [771]
-```
 
 ## Contributing
 We welcome any bug report and contribution to the code is also encouraged. Please email [Schoen Cho](mailto:zc282@cam.ac.uk) or [Prof. Simone Hochgreb](mailto:sh372@cam.ac.uk) if there is any problem.