diff --git a/src/app.rs b/src/app.rs
index 4049ede6..3b73fda7 100644
--- a/src/app.rs
+++ b/src/app.rs
@@ -1,4 +1,4 @@
-pub mod data_farmer;
+pub mod data;
 pub mod filter;
 pub mod frozen_state;
 pub mod layout_manager;
@@ -12,7 +12,7 @@ use std::{
 
 use anyhow::bail;
 use concat_string::concat_string;
-use data_farmer::*;
+use data::*;
 use filter::*;
 use frozen_state::FrozenState;
 use hashbrown::HashMap;
diff --git a/src/app/data_farmer.rs b/src/app/data.rs
similarity index 52%
rename from src/app/data_farmer.rs
rename to src/app/data.rs
index 200a3a81..0e88c1ce 100644
--- a/src/app/data_farmer.rs
+++ b/src/app/data.rs
@@ -1,19 +1,10 @@
-//! In charge of cleaning, processing, and managing data.  I couldn't think of
-//! a better name for the file.  Since I called data collection "harvesting",
-//! then this is the farmer I guess.
-//!
-//! Essentially the main goal is to shift the initial calculation and
-//! distribution of joiner points and data to one central location that will
-//! only do it *once* upon receiving the data --- as opposed to doing it on
-//! canvas draw, which will be a costly process.
-//!
-//! This will also handle the *cleaning* of stale data.  That should be done
-//! in some manner (timer on another thread, some loop) that will occasionally
-//! call the purging function.  Failure to do so *will* result in a growing
-//! memory usage and higher CPU usage - you will be trying to process more and
-//! more points as this is used!
+//! In charge of cleaning, processing, and managing data.
 
-use std::{collections::BTreeMap, time::Instant, vec::Vec};
+use std::{
+    collections::BTreeMap,
+    time::{Duration, Instant},
+    vec::Vec,
+};
 
 use hashbrown::HashMap;
 
@@ -28,6 +19,254 @@ use crate::{
     dec_bytes_per_second_string,
 };
 
+/// A chunk of data, corresponding to the indices of time slice.
+#[derive(Debug)]
+pub struct DataChunk {
+    /// The start offset of this chunk, should correspond to the time_offsets. If that updates,
+    /// this MUST also update.
+    start_offset: usize,
+
+    /// The end offset of this chunk, should correspond to the time_offsets. If that updates,
+    /// this MUST also update.
+    end_offset: usize,
+
+    /// The actual value data!
+    data: Vec<f64>,
+}
+
+impl DataChunk {
+    /// Create a new [`DataChunk`] starting from `offset`.
+    pub fn new(initial_value: f64, start_offset: usize) -> Self {
+        Self {
+            start_offset,
+            end_offset: start_offset + 1,
+            data: vec![initial_value],
+        }
+    }
+
+    /// Try and prune the chunk.
+    pub fn try_prune(&mut self, prune_end_index: usize) -> bool {
+        if prune_end_index > self.end_offset {
+            self.data.clear();
+            self.start_offset = 0;
+            self.end_offset = 0;
+
+            true
+        } else if prune_end_index > self.start_offset {
+            // We know the prune index must be between the start and end, so we're safe
+            // to blindly do subtaction here, assuming our other invariants held.
+
+            let drain_end = prune_end_index - self.start_offset;
+
+            self.data.drain(..drain_end);
+
+            self.start_offset = 0;
+            self.end_offset -= prune_end_index;
+
+            true
+        } else {
+            false
+        }
+    }
+
+    /// Update the offsets of this chunk by `usize`.
+    pub fn update_indices(&mut self, offset: usize) {
+        self.start_offset -= offset;
+        self.end_offset -= offset;
+    }
+}
+
+/// Represents timeseries _value_ data in a chunked fashion.
+#[derive(Debug, Default)]
+pub struct ValueChunk {
+    /// The currently-updated chunk.
+    current: Option<DataChunk>,
+
+    /// Previous chunks, this should be added to if a data gap is found.
+    previous_chunks: Vec<DataChunk>,
+}
+
+impl ValueChunk {
+    /// Add a value to this chunk.
+    pub fn add(&mut self, value: f64, index: usize) {
+        match self.current.as_mut() {
+            Some(current) => {
+                current.data.push(value);
+                current.end_offset = index + 1;
+            }
+            None => {
+                self.current = Some(DataChunk::new(value, index));
+            }
+        }
+    }
+
+    /// End the current chunk.
+    pub fn end_chunk(&mut self) {
+        if let Some(current) = self.current.take() {
+            self.previous_chunks.push(current);
+        }
+    }
+
+    /// Prune all chunks up to (and not including) the current end index, and update all internal indicies to match this.
+    pub fn prune(&mut self, remove_up_to: usize) {
+        // Try to prune the current; if we _can_ prune the current, then it likely means all the
+        // previous chunks should also be pruned.
+
+        let pruned_current = if let Some(current) = self.current.as_mut() {
+            current.try_prune(remove_up_to)
+        } else {
+            false
+        };
+
+        if pruned_current {
+            // If we could prune the current chunk, then it means all other chunks are outdated. Remove them.
+            if !self.previous_chunks.is_empty() {
+                self.previous_chunks.clear();
+                self.previous_chunks.shrink_to_fit();
+            }
+        } else {
+            // Otherwise, try and prune the previous chunks + adjust the remaining chunks' offsets.
+
+            for (index, previous_chunk) in self.previous_chunks.iter_mut().enumerate().rev() {
+                if previous_chunk.try_prune(remove_up_to) {
+                    let end_index = if previous_chunk.end_offset == 0 {
+                        index + 1
+                    } else {
+                        index
+                    };
+
+                    self.previous_chunks.drain(0..end_index);
+
+                    if let Some(current) = &mut self.current {
+                        current.update_indices(remove_up_to);
+                    }
+
+                    for previous_chunk in self.previous_chunks.iter_mut().skip(1) {
+                        previous_chunk.update_indices(remove_up_to);
+                    }
+
+                    return;
+                }
+            }
+        }
+    }
+}
+
+#[derive(Debug, Clone, Copy)]
+struct DefaultInstant(Instant);
+
+impl Default for DefaultInstant {
+    fn default() -> Self {
+        Self(Instant::now())
+    }
+}
+
+/// Represents timeseries data in a chunked, deduped manner.
+///
+/// Properties:
+/// - Time in this manner is represented in a reverse-offset fashion from the current time.
+/// - All data is stored in SoA fashion.
+/// - Values are stored in a chunked format, which facilitates gaps in data collection if needed.
+/// - Additional metadata is stored to make data pruning over time easy.
+#[derive(Debug, Default)]
+pub struct TimeSeriesData {
+    /// The last-updated timestamp. The last time offset is based on this value.
+    /// When updating this value ensure you also update time_offsets with the
+    /// new offset from the new time to the original value.
+    current_time: DefaultInstant,
+
+    /// All time offsets, first element is the oldest value.
+    time_offsets: Vec<f32>,
+
+    /// Time offset ranges to help faciliate pruning. Must be in
+    /// sorted order. Offset ranges are [start, end) (that is, exclusive).
+    ///
+    /// Storing double usize might be wasteful but eh.
+    offset_ranges: Vec<(Instant, usize, usize)>,
+
+    /// Network RX data chunks.
+    rx: ValueChunk,
+
+    /// Network TX data chunks.
+    tx: ValueChunk,
+
+    /// CPU data chunks.
+    cpu: ValueChunk,
+
+    /// Memory data chunks.
+    mem: ValueChunk,
+
+    /// Swap data chunks.
+    swap: ValueChunk,
+
+    #[cfg(not(target_os = "windows"))]
+    /// Cache data chunks.
+    cache_mem: ValueChunk,
+
+    #[cfg(feature = "zfs")]
+    /// Arc data chunks.
+    arc_mem: ValueChunk,
+
+    #[cfg(feature = "gpu")]
+    /// GPU memory data chunks.
+    gpu_mem: Vec<ValueChunk>,
+}
+
+impl TimeSeriesData {
+    /// Add a new data point.
+    pub fn add(&mut self, data: Data) {
+        let time = data
+            .collection_time
+            .duration_since(self.current_time.0)
+            .as_millis() as f32;
+        self.current_time.0 = data.collection_time;
+        self.time_offsets.push(time);
+
+        let index = self.time_offsets.len() - 1;
+
+        if let Some(network) = data.network {
+            self.rx.add(network.rx as f64, index);
+            self.tx.add(network.tx as f64, index);
+        }
+    }
+
+    /// Prune any data older than the given duration.
+    pub fn prune(&mut self, max_age: Duration) {
+        let remove_index = match self.offset_ranges.binary_search_by(|(instant, _, _)| {
+            self.current_time
+                .0
+                .duration_since(*instant)
+                .cmp(&max_age)
+                .reverse()
+        }) {
+            Ok(index) => index,
+            Err(index) => index,
+        };
+
+        if let Some((_offset, start, end)) = self.offset_ranges.drain(0..remove_index).last() {
+            // Note that end here is _exclusive_.
+            self.time_offsets.drain(0..end);
+
+            self.rx.prune(end);
+            self.tx.prune(end);
+            self.cpu.prune(end);
+            self.mem.prune(end);
+            self.swap.prune(end);
+
+            #[cfg(not(target_os = "windows"))]
+            self.cache_mem.prune(end);
+
+            #[cfg(feature = "zfs")]
+            self.arc_mem.prune(end);
+
+            #[cfg(feature = "gpu")]
+            for gpu in &mut self.gpu_mem {
+                gpu.prune(end);
+            }
+        }
+    }
+}
+
 #[derive(Debug, Default, Clone)]
 pub struct TimedData {
     pub rx_data: f64,
@@ -461,3 +700,180 @@ impl DataCollection {
         self.gpu_harvest = gpu;
     }
 }
+
+#[cfg(test)]
+mod test {
+    use super::*;
+
+    /// Basic sanity test for current chunk adding/pruning behaviour.
+
+    #[test]
+    fn prune_current_chunk() {
+        let mut vc = ValueChunk::default();
+        let times = vec![1.0, 2.0, 3.0, 4.0, 5.0, 6.0];
+
+        let mut index = 1;
+        for time in &times[index..] {
+            vc.add(*time * 2.0, index);
+            index += 1
+        }
+
+        assert_eq!(
+            (&vc).current.as_ref().unwrap().data,
+            &[4.0, 6.0, 8.0, 10.0, 12.0]
+        );
+        assert_eq!((&vc).current.as_ref().unwrap().start_offset, 1);
+        assert_eq!((&vc).current.as_ref().unwrap().end_offset, 6);
+
+        // Test removing partially.
+        vc.prune(3);
+        assert_eq!((&vc).current.as_ref().unwrap().data, &[8.0, 10.0, 12.0]);
+        assert_eq!((&vc).current.as_ref().unwrap().start_offset, 0);
+        assert_eq!((&vc).current.as_ref().unwrap().end_offset, 3);
+
+        // Test fully clearing house.
+        vc.prune(3);
+        assert_eq!((&vc).current.as_ref().unwrap().data, &[]);
+        assert_eq!((&vc).current.as_ref().unwrap().start_offset, 0);
+        assert_eq!((&vc).current.as_ref().unwrap().end_offset, 0);
+
+        // Test re-adding values and clearing again.
+        let second_input = [1.0, 2.0, 3.0, 4.0];
+        for (index, val) in second_input.into_iter().enumerate() {
+            vc.add(val, index);
+        }
+
+        assert_eq!((&vc).current.as_ref().unwrap().data, &second_input);
+        assert_eq!((&vc).current.as_ref().unwrap().start_offset, 0);
+        assert_eq!((&vc).current.as_ref().unwrap().end_offset, 4);
+
+        vc.prune(3);
+        assert_eq!((&vc).current.as_ref().unwrap().data, &[4.0]);
+        assert_eq!((&vc).current.as_ref().unwrap().start_offset, 0);
+        assert_eq!((&vc).current.as_ref().unwrap().end_offset, 1);
+
+        vc.prune(0);
+        assert_eq!((&vc).current.as_ref().unwrap().data, &[4.0]);
+        assert_eq!((&vc).current.as_ref().unwrap().start_offset, 0);
+        assert_eq!((&vc).current.as_ref().unwrap().end_offset, 1);
+
+        vc.prune(1);
+        assert_eq!((&vc).current.as_ref().unwrap().data, &[]);
+        assert_eq!((&vc).current.as_ref().unwrap().start_offset, 0);
+        assert_eq!((&vc).current.as_ref().unwrap().end_offset, 0);
+    }
+
+    /// Test pruning multiple chunks.
+    #[test]
+    fn prune_multi() {
+        // Let's simulate the following:
+        //
+        // |_________________|_________________|____________|
+        // 0    chunk 1      5     no data    10  chunk 2   20
+
+        let mut vc = ValueChunk::default();
+
+        for i in 0..5 {
+            vc.add((i * 10) as f64, i);
+        }
+
+        vc.end_chunk();
+
+        for i in 10..20 {
+            vc.add((i * 100) as f64, i);
+        }
+
+        assert!(vc.current.is_some());
+        assert_eq!(vc.previous_chunks.len(), 1);
+
+        assert_eq!(vc.current.as_ref().unwrap().data.len(), 10);
+        assert_eq!(vc.current.as_ref().unwrap().start_offset, 10);
+        assert_eq!(vc.current.as_ref().unwrap().end_offset, 20);
+
+        assert_eq!(vc.previous_chunks.get(0).as_ref().unwrap().data.len(), 5);
+        assert_eq!(vc.previous_chunks.get(0).as_ref().unwrap().start_offset, 0);
+        assert_eq!(vc.previous_chunks.get(0).as_ref().unwrap().end_offset, 5);
+
+        // Try partial pruning previous, make sure it affects current indices too.
+        vc.prune(3);
+
+        assert!(vc.current.is_some());
+        assert_eq!(vc.previous_chunks.len(), 1);
+
+        assert_eq!(vc.current.as_ref().unwrap().data.len(), 10);
+        assert_eq!(vc.current.as_ref().unwrap().start_offset, 7);
+        assert_eq!(vc.current.as_ref().unwrap().end_offset, 17);
+
+        assert_eq!(vc.previous_chunks.get(0).as_ref().unwrap().data.len(), 2);
+        assert_eq!(vc.previous_chunks.get(0).as_ref().unwrap().start_offset, 0);
+        assert_eq!(vc.previous_chunks.get(0).as_ref().unwrap().end_offset, 2);
+
+        // Try full pruning previous.
+        vc.prune(2);
+
+        assert!(vc.current.is_some());
+        assert!(vc.previous_chunks.is_empty());
+
+        assert_eq!(vc.current.as_ref().unwrap().data.len(), 10);
+        assert_eq!(vc.current.as_ref().unwrap().start_offset, 5);
+        assert_eq!(vc.current.as_ref().unwrap().end_offset, 15);
+
+        // End chunk, then add a new one. Then end chunk and add a new one. Then end chunk and add a new one.
+        vc.end_chunk();
+        for i in 15..30 {
+            vc.add((i * 1000) as f64, i);
+        }
+
+        vc.end_chunk();
+        for i in 35..50 {
+            vc.add((i * 10000) as f64, i);
+        }
+
+        vc.end_chunk();
+        for i in 58..60 {
+            vc.add((i * 100000) as f64, i);
+        }
+
+        assert!(vc.current.is_some());
+        assert_eq!(vc.previous_chunks.len(), 3);
+
+        // Ensure current chunk is downgraded to previous_chunks.
+        assert_eq!(vc.previous_chunks[0].data.len(), 10);
+
+        // Try pruning the middle chunk, ensure older chunks are cleared and newer chunks are updated.
+        vc.prune(25);
+
+        assert!(vc.current.is_some());
+        assert_eq!(vc.previous_chunks.len(), 2);
+
+        assert_eq!(vc.previous_chunks.get(0).as_ref().unwrap().data.len(), 5);
+        assert_eq!(vc.previous_chunks.get(0).as_ref().unwrap().start_offset, 0);
+        assert_eq!(vc.previous_chunks.get(0).as_ref().unwrap().end_offset, 5);
+
+        // Gap of 5, so 5 + 5 = 10
+        assert_eq!(vc.previous_chunks.get(1).as_ref().unwrap().data.len(), 15);
+        assert_eq!(vc.previous_chunks.get(1).as_ref().unwrap().start_offset, 10);
+        assert_eq!(vc.previous_chunks.get(1).as_ref().unwrap().end_offset, 25);
+
+        // Gap of 8, so 25 + 8 = 33
+        assert_eq!(vc.current.as_ref().unwrap().data.len(), 2);
+        assert_eq!(vc.current.as_ref().unwrap().start_offset, 33);
+        assert_eq!(vc.current.as_ref().unwrap().end_offset, 35);
+
+        // Try pruning current. Ensure previous chunks are cleared.
+        vc.prune(34);
+
+        assert!(vc.current.is_some());
+        assert!(vc.previous_chunks.is_empty());
+
+        assert_eq!(vc.current.as_ref().unwrap().data.len(), 1);
+        assert_eq!(vc.current.as_ref().unwrap().start_offset, 0);
+        assert_eq!(vc.current.as_ref().unwrap().end_offset, 1);
+
+        vc.prune(1);
+
+        assert!(vc.current.as_ref().unwrap().data.is_empty());
+        assert_eq!(vc.current.as_ref().unwrap().start_offset, 0);
+        assert_eq!(vc.current.as_ref().unwrap().end_offset, 0);
+    }
+}
diff --git a/src/canvas/components/tui_widget/time_chart.rs b/src/canvas/components/tui_widget/time_chart.rs
index 787d1393..78da1ea6 100644
--- a/src/canvas/components/tui_widget/time_chart.rs
+++ b/src/canvas/components/tui_widget/time_chart.rs
@@ -391,7 +391,7 @@ pub struct TimeChart<'a> {
 }
 
 impl<'a> TimeChart<'a> {
-    /// Creates a chart with the given [datasets](Dataset)
+    /// Creates a chart with the given [datasets](Dataset),
     ///
     /// A chart can render multiple datasets.
     pub fn new(datasets: Vec<Dataset<'a>>) -> TimeChart<'a> {
diff --git a/src/data_collection/memory.rs b/src/data_collection/memory.rs
index ee09a809..98275dc8 100644
--- a/src/data_collection/memory.rs
+++ b/src/data_collection/memory.rs
@@ -23,6 +23,7 @@ pub struct MemHarvest {
 
 impl MemHarvest {
     /// Return the use percentage. If the total bytes is 0, then this returns `None`.
+    #[inline]
     pub fn checked_percent(&self) -> Option<f64> {
         let used = self.used_bytes as f64;
         let total = self.total_bytes as f64;
diff --git a/src/data_conversion.rs b/src/data_conversion.rs
index 14e7a1fe..40216225 100644
--- a/src/data_conversion.rs
+++ b/src/data_conversion.rs
@@ -6,7 +6,7 @@
 use std::borrow::Cow;
 
 use crate::{
-    app::{data_farmer::DataCollection, AxisScaling},
+    app::{data::DataCollection, AxisScaling},
     canvas::components::time_chart::Point,
     data_collection::{cpu::CpuDataType, memory::MemHarvest, temperature::TemperatureType},
     utils::{data_prefixes::*, data_units::DataUnit},
@@ -35,7 +35,6 @@ pub enum CpuWidgetData {
     All,
     Entry {
         data_type: CpuDataType,
-        /// A point here represents time (x) and value (y).
         data: Vec<Point>,
         last_entry: f64,
     },
diff --git a/src/widgets/process_table.rs b/src/widgets/process_table.rs
index 9085a536..32d1a63c 100644
--- a/src/widgets/process_table.rs
+++ b/src/widgets/process_table.rs
@@ -15,7 +15,7 @@ use sort_table::SortTableColumn;
 
 use crate::{
     app::{
-        data_farmer::{DataCollection, ProcessData},
+        data::{DataCollection, ProcessData},
         AppConfigFields, AppSearchState,
     },
     canvas::components::data_table::{