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1. In the_**Data Analysis**_ category, click_**Import**._ We_'_ve already prepared the packages you need for data analysis. For the packages you need for machine learning, click the**Machine Learning** tab.
2. Choose_**Data Analysis**_ or_**Machine Learning**_ according to the purpose of the feature you want to import.
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3. Select the packages or modules you want to import.
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4. If the desired feature is not in the list, you can add it directly using_**+Module**_ or_**+Function**_. (The added feature is automatically saved for easy future imports.)
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  4-1. Use_**+Module**_ to add packages or modules.
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  4-2. Use_**+Function**_ to add functions.
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5. You can review the code that will be generated through_**Code View**_.
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6. Press_**Run**_ to execute the code.
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2. Select the packages you want to import.
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3. If the package you want isn't listed, you can add it via the**+**_**Module**_ or_**+Function**_ buttons.
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1. To load a package or module, use_**+Module**._
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2. Use_**+Function**_ to call a specific function.
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4._**Code View**_: Preview the code that will be output.
4._**Additional Options**_ allow various settings.
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  4-1. If not set separately, the default values set by Visual Python will be applied.
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  4-2. Any settings not found here can be entered in the_**User Option**_ for configuration.
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5._**Encoding**_: Specify the encoding of the file.
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6._**Header**_: Select_**None**_ if you do not want to use column names.
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  6-1. By default, the values entered in the first row are set as column names.
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7._**Separator**_: Choose the delimiter that separates the data fields in the file.
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8._**Columns**_: You can set column names by entering a pre-made list or specific values.
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9._**Column List to Use**_: Specify specific columns to load from multiple columns in the file.
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10._**Column to Use as Index**_: Specify the column from the file's columns to use as an index.
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11._**Na Values**_: Represent missing values with the specified input.
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12._**Rows to Skip**_: Specify the number of rows to ignore at the beginning of the file.
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13._**Number of Rows**_: Read only the specified number of rows from the beginning.
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14._**Chunksize**_: Divide the file into separate parts and read them to create separate DataFrames. Helpful in handling large files.
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*_**Additional Options**_: Allows you to set additional option values. If not set, the default values set in Visual Python are applied. Options not listed here can be applied by entering them directly_in**User Option**._
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1._**Encoding**_: Select the type of encoding.
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2._**Header**_: By default, the first row is used as the column name. If you don't want this, select '_**None**'._
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3._**Separator**_: Choose a separator to separate the data fields in the file.
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4._**Columns**_: Set the column names to a pre-made list or specific values.
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5._**Column List to Use**_: Allows you to import only specific columns within the file.
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6._**Column to Use as Index**_: Specify which column in the data should be used as the index.
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7._**Na Values**_: Replace missing values with the values you entered.
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8._**Rows to Skip**_: Skips and fetches as many rows as the value entered at the top of the file.
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9._**Number of Rows**_: Fetches as many rows as the entered value from the top of the file.
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10._**Chunksize**_: Reads the file in_chunks,_ divided by the entered value. Use this when loading large files.
4._**Additional Options**_ allow various settings.
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  4-1. If not set separately, the default values set by Visual Python will be applied.
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  4-2. Any settings not found here can be entered in the_**User Options**_ for configuration.
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5._**Encoding**_: Specify the encoding of the file.
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6._**Header**_: Choose_**False**_ to exclude column names when saving.
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  6-1. By default, column names are saved as the first row.
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7._**Index**_: Choose_**False**_ to exclude the index when saving.
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  7-1. By default, the index is saved as the first column.
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*_**Additional Options**_: Allows you to set additional option values. If not set, the default values set in Visual Python are applied. Options not listed here can be applied by entering them directly_in**User Option**._
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8._**Separator**_: Choose the delimiter that separates the data fields in the file.
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9._**Na Replacing Value**_: Replace missing values with the specified input when saving.
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10._**Columns**_: You can save only specific columns.
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1._**Encoding**_: Select the type of encoding.
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2._**Header**_: Select '_**False**_' if you do not want the column names to be included in the file that will be saved.
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3._**Index**_: Select_'_**False**_'_ if you don't want an index to be included.
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4._**Separator**_: Choose a separator to separate the data fields in the file.
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5._**Na Replacing Value**_: Replaces the missing value with the value you entered.