### Identified Issues from `datacard.md`

Issue 1:
- **Issue**: Typographical error in dataset description
- **Evidence**: "I thought of consolidating and sharing this public data to see how the data science world uses it discover interesting patterns."
- **Description**: The phrase seems to be missing a word between "uses it" and "discover." It should be corrected to "uses it to discover interesting patterns" for clarity and proper grammar.

Issue 2:
- **Issue**: Inconsistent capitalization in dataset description
- **Evidence**: "Ball Possession: Amount of time ball was in control by the team"
- **Description**: The word "ball" should be capitalized in the phrase "Amount of time ball was in control by the team" for consistency with the preceding capitalized term "Ball Possession."

Next, we will examine the content of the `FIFA_2018_Stats.csv` file for potential typographical errors as suggested by the hint.### Identified Issue from `FIFA_2018_Stats.csv`

Issue 1:
- **Issue**: Inconsistent use of column name formatting
- **Evidence**: The dataset contains columns named with both spaces and percentages (e.g., `Ball Possession %`, `Goal Scored`).
- **Description**: Column names in datasets are typically formatted without spaces and special characters for easier data handling in most programming languages. The column `Ball Possession %` should ideally be renamed to a more consistent format without spaces and special characters, like `Ball_Possession_Percent`, to align with best practices in data naming conventions.

No typographical errors in terms of misspellings were immediately apparent from the previewed rows of the dataset. However, the full dataset would need to be reviewed to ensure there are no typographical errors in row-level data, such as team names, opponent names, and other text fields.