Update README.md

README.md

@@ -19,11 +19,6 @@ The data includes monthly counts from hospital visits and admissions of differen
 
 
 
-- **Curated by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
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 ### Dataset Sources [optional]
 
@@ -34,9 +29,6 @@ Incorporated CSVs are: 'Provisional Monthly Hospital Episode Statistics for Admi
                        'Provisional Monthly Hospital Episode Statistics for Admitted Patient Care and Outpatients, December 2023: Open Data - Treatment Specialties'
                        'Provisional Monthly Hospital Episode Statistics for Admitted Patient Care and Outpatients, December 2023: Open Data - Age Groups'
 
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 ## Uses
 The linked Google Colab file shows one possible use for a subset of this data: examining the pattern in hospital admissions episodes before, during, and after the COVID-19 pandemic and analysing whether there is a seasonal trend in those admissions and whether or not that changed during the pandemic. 
@@ -58,7 +50,7 @@ Ex.) https://colab.research.google.com/drive/1u7jNC-CFnoVBCCDnNUIEM7zmt9nJLmF2?u
 ## Dataset Structure
 
 <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
-The dataset is a csv that is 69*37. Each row contains the data for a single month from April 2018 to December 2023. The columns contain data on each of the variables counts were collected for (e.g. Finished Consultant Episodes, Finished Consultant Episodes with Procedure) split into the three original datasets, with separate columns for the total counts, the age bands, and the specialties. Within these columns, there are lists of dictionaries containing the data. 
+The dataset is a csv that is 69*73. Each row contains the data for a single month from April 2018 to December 2023. The columns contain data on each of the variables counts were collected for (e.g. Finished Consultant Episodes, Finished Consultant Episodes with Procedure) split into the three original datasets, with separate columns for the total counts, the age bands, and the specialties. Within these columns, there are lists of dictionaries containing the data. 
 
 [More Information Needed]