tanjummotin/Markopolo.ai_Assessment-Data-cleaning-and-visualization-Task

Data cleaning-and-visualization-Task

Instructions to Open the Google Colab File

To open the Google Colab file in this repository, follow these steps:

1. Click on the file with the extension .ipynb to open it.
2. Once the file is open, click on the "Open in Colab" button located at the top-right corner of the file viewer. This will open the file in Google Colab.

Running the Code

If you want to run the code in the Google Colab file, follow these additional steps:

1. Make sure you are signed in to your Google account.
2. In the Colab interface, click on "Runtime" in the menu bar.
3. Select "Run all" to run all the cells in the notebook or use the individual cell run buttons.

Additional Information about Data Cleaning

During the data cleaning process, the following observations were made:

• No inconsistent data formats were found in the dataset.

Data columns (total 12 columns):

No	Column	Non-Null Count	Dtype
0	fixed acidity	4898 non-null	float64
1	volatile acidity	4898 non-null	float64
2	citric acid	4898 non-null	float64
3	residual sugar	4898 non-null	float64
4	chlorides	4898 non-null	float64
5	free sulfur dioxide	4898 non-null	float64
6	total sulfur dioxide	4898 non-null	float64
7	density	4898 non-null	float64
8	pH	4898 non-null	float64
9	sulphates	4898 non-null	float64
10	alcohol	4898 non-null	float64
11	quality	4898 non-null	int64

All of the 11 input variables are in float64 datatype, and the output variable "quality" is in int datatype. Therefore, no standardization or transformation techniques were applied to the data.