Tiny EDA Capstone - Time Series Mechanics

Read the Pass

The raw table has five rows. One value is marked NA, so this first pass drops that row instead of filling in a guess. After cleaning, the dot plot shows the four values that remain. The conclusion names the row count, the dropped row, the peak, and the latest value. For a pandas version of the cleaning move, read drop missing rows. For grouped summaries after the first clean pass, read pandas groupby mean. For the time-series smoothing mechanics that can follow this EDA pass, read simple moving average.

A tiny end-to-end EDA pass: load pinned rows, clean one missing value, inspect the clean points, and write only the conclusion the data supports.

highlighted = computed this step

Load the pinned rows

Start with 5 pinned rows, including one missing value marked NA.

\text{load pinned rows}

Clean one missing value

For this first pass, drop the 1 missing row instead of filling it.

\text{clean rows}

Explore the clean values

Plot the 4 clean values as dots so the shape is visible before the conclusion.

\text{explore clean values}

Write the small conclusion

The exact conclusion is: 4 clean rows, 1 dropped missing row, peak Thu = 9, latest Fri = 8.

\text{conclude from pinned data}