<transcript><audio_37>you know you have um uh people inputting uh say for example values in in excel spreadsheet right and then they have coded it in as a currency so you have like dollar</transcript><transcript><audio_38>sign and as well as commas and then you know eventually when you read the data set in um using pandas this variable is identified as like object like it is um not identified</transcript><transcript><audio_39>as uh integer or float as you would like it to be so uh in these cases like we want to remove um the dollar sign and the commas okay from from our variable okay and yep relating back to the data types um</transcript><transcript><audio_40>whenever like we want to convert the data types to its correct format yeah so there could be cases where we want to convert string to numeric and string to date so this is one of the tips that i'm going through as well</transcript> you know you have um uh people inputting uh say for example values in in excel spreadsheet right and then they have coded it in as a currency so you have like dollar sign and as well as commas and then you know eventually when you read the data set in um using pandas this variable is identified as like object like it is um not identified as uh integer or float as you would like it to be so uh in these cases like we want to remove um the dollar sign and the commas okay from from our variable okay and yep relating back to the data types um whenever like we want to convert the data types to its correct format yeah so there could be cases where we want to convert string to numeric and string to date so this is one of the tips that i'm going through as well
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