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 Excel (2)

Formatting legacy system negative balances
Assign unique ID to a group in a dataframe

 US dollars (1)

Amount in US dollars/cents extracted from a string

 as_of merge (1)

The as of merge - python [pandas]

 assign (1)

Unique list of items contained in a dataframe column

 closest match (1)

Merge/Join tables on the closest date in time

 complex-joins (1)

The Case of the Closest Match

 data-formatting (1)

The Case of the Strange Negative Balances

 data-validation (1)

The Case of the Vanishing Data

 dataframe (5)

Merge/Join tables on the closest date in time
Amount in US dollars/cents extracted from a string
Assign unique ID to a group in a dataframe
The as of merge - python [pandas]
Unique list of items contained in a dataframe column

 datetime (1)

The Case of the Time-Traveling Addresses

 dollar-amounts (1)

The Case of the Buried Treasure

 extract (1)

Amount in US dollars/cents extracted from a string

 formulas (1)

Formatting legacy system negative balances

 group (1)

Assign unique ID to a group in a dataframe

 hardcoded (1)

Formatting legacy system negative balances

 historical-records (1)

The Case of the Time-Traveling Addresses

 isna (1)

The Case of the Vanishing Data

 legacy-systems (1)

The Case of the Strange Negative Balances

 merge (1)

Merge/Join tables on the closest date in time

 merge_as_of (1)

The as of merge - python [pandas]

 merge_asof (3)

The Case of the Closest Match
The Case of the Time-Traveling Addresses
Merge/Join tables on the closest date in time

 missing-data (1)

The Case of the Vanishing Data

 month-end (1)

The Case of the Disappearing Dollars

 nearest-match (1)

The Case of the Closest Match

 negative-balances (1)

The Case of the Strange Negative Balances

 pandas (12)

The Case of the Closest Match
The Case of the Buried Treasure
The Case of the Vanishing Data
The Case of the Time-Traveling Addresses
The Case of the Strange Negative Balances
The Case of the Disappearing Dollars
Merge/Join tables on the closest date in time
Amount in US dollars/cents extracted from a string
Formatting legacy system negative balances
Assign unique ID to a group in a dataframe
The as of merge - python [pandas]
Unique list of items contained in a dataframe column

 pd.merge_asof() (1)

The as of merge - python [pandas]

 python (1)

The Case of the Disappearing Dollars

 regex (3)

The Case of the Buried Treasure
Amount in US dollars/cents extracted from a string
The as of merge - python [pandas]

 rounding (1)

The Case of the Disappearing Dollars

 text-extraction (1)

The Case of the Buried Treasure

 totals (1)

Formatting legacy system negative balances

 unique (1)

Assign unique ID to a group in a dataframe

 unique ID (2)

Assign unique ID to a group in a dataframe
Unique list of items contained in a dataframe column