Updated documentation to reflect change of function name to load_transaction_items()

Author: flyandlure

README.md

@@ -117,13 +117,13 @@ transaction_items.head()
 
 2. #### Create a transaction items dataframe
 
-The `utilities` module includes a range of tools that allow you to format data, so it can be used within other EcommerceTools functions. The `load_data()` function is used to create a Pandas dataframe of formatted transactional item data. When loading your transaction items data, all you need to do is define the column mappings, and the function will reformat the dataframe accordingly. 
+The `utilities` module includes a range of tools that allow you to format data, so it can be used within other EcommerceTools functions. The `load_transaction_items()` function is used to create a Pandas dataframe of formatted transactional item data. When loading your transaction items data, all you need to do is define the column mappings, and the function will reformat the dataframe accordingly. 
 
 ```python
 import pandas as pd
 from ecommercetools import utilities
 
-transaction_items = utilities.load_data('transaction_items_non_standard_names.csv',
+transaction_items = utilities.load_transaction_items('transaction_items_non_standard_names.csv',
                                  date_column='InvoiceDate',
                                  order_id_column='InvoiceNo',
                                  customer_id_column='CustomerID',

ecommercetools/utilities/tools.py

@@ -23,7 +23,7 @@ def load_transaction_items(filename,
         unit_price_column (float, optional): Name of unit price column, default is unit_price
 
     Usage:
-        transaction_items = rt.load_data('data/input/transaction_items_non_standard_names.csv',
+        transaction_items = rt.load_transaction_items('data/input/transaction_items_non_standard_names.csv',
                                      date_column='InvoiceDate',
                                      order_id_column='OrderId',
                                      customer_id_column='CustomerId',