Fix typo

README.md

@@ -104,9 +104,9 @@ The class has several methods:
 Data is read with the `read_data` method.  
 For the data to be acceptable, it must contain the values of at least one coordinate for all the points, and their `weights`. The `weights` of the points represent their relative importance in the dataset, so in most cases they can all be set to 1. There are several accepted formats for providing the data:  
 * `string`, where the string contains the relative path to a `csv` file. The file must contain at least one column for the coordinates, which must be named as `x*` (`x0`, `x1`, ecc.) and one column for the `weight`
-* `pandas.DataFrame`, where the columns for the coordinates must be named `x*` (`x1`, `x2`, ecc.) and one column should contain the `weight`
+* `pandas.DataFrame`, where the columns for the coordinates must be named `x*` (`x0`, `x1`, ecc.) and one column should contain the `weight`
 * `list` or `np.ndarray`, where the coordinate data should be provided as a list of lists (or array of arrays), and the weights inserted in a second, separate list/array
-* `dictionary`, where the coordinate data must be contained in lists, each with key `x*` (``, ``, ecc.) and the weights in another list with key `weight`
+* `dictionary`, where the coordinate data must be contained in lists, each with key `x*` (`x0`, `x1`, ecc.) and the weights in another list with key `weight`
 
 ## Generating a test dataset with `test_blobs`
 If a user wants to test the library without using real data, they can easily do so using the `test_blobs` method.