diff --git a/tensorboard/components/vz_line_chart2/linear-scale.ts b/tensorboard/components/vz_line_chart2/linear-scale.ts
index b4174e481a9..2ec68030f9b 100644
--- a/tensorboard/components/vz_line_chart2/linear-scale.ts
+++ b/tensorboard/components/vz_line_chart2/linear-scale.ts
@@ -30,10 +30,12 @@ export class LinearScale extends Plottable.Scales.Linear implements ITfScale {
 
   /**
    * Adds some padding to a given domain. Specifically, it:
-   * - returns about [-0.1a, 2.1a] when a = b and a >= 0.
-   * - returns about [-2.1a, 0.1a] when a = b and a < 0.
+   * - returns about [-0.1a - c, 2.1a + c] when a = b and a >= 0.
+   * - returns about [-2.1|a| - c, -0.1|a| + c] when a = b and a < 0.
    * - returns [-0.1b, b + padProportion * (b-a)] if b > 2a and a > 0
    * - else, pads by `padProportion`
+   * Note that `c` is a constant offset which specifically is 1.1. Please refer
+   * to [1] for its rationale.
    * @override
    */
   protected _niceDomain(domain: number[], count?: number): number[] {
@@ -51,10 +53,10 @@ export class LinearScale extends Plottable.Scales.Linear implements ITfScale {
 
     let lower: number;
     if (a >= 0 && a < span) {
-      // We include the intercept (y = 0) if doing so less than doubles the span
-      // of the y-axis. (We actually select a lower bound that's slightly less
-      // than 0 so that 0.00 will clearly be written on the lower edge of the
-      // chart. The label on the lowest tick is often filtered out.)
+      // [1]: We include the intercept (y = 0) if doing so less than doubles the
+      // span of the y-axis. (We actually select a lower bound that's slightly
+      // less than 0 so that 0.00 will clearly be written on the lower edge of
+      // the chart. The label on the lowest tick is often filtered out.)
       lower = -0.1 * b;
     } else {
       lower = a - padding;
diff --git a/tensorboard/components/vz_line_chart2/log-scale.ts b/tensorboard/components/vz_line_chart2/log-scale.ts
index 0b07301aee5..035ee2ffcc2 100644
--- a/tensorboard/components/vz_line_chart2/log-scale.ts
+++ b/tensorboard/components/vz_line_chart2/log-scale.ts
@@ -17,7 +17,7 @@ namespace vz_line_chart2 {
 const MIN_VALUE = 1e-15;
 
 function log(x: number): number {
-  return Math.log(x) / Math.log(10);
+  return Math.log10(x);
 }
 
 function pow(x: number): number {
diff --git a/tensorboard/components/vz_line_chart2/tf-scale.ts b/tensorboard/components/vz_line_chart2/tf-scale.ts
index ad819f37a6e..c34f221e211 100644
--- a/tensorboard/components/vz_line_chart2/tf-scale.ts
+++ b/tensorboard/components/vz_line_chart2/tf-scale.ts
@@ -18,10 +18,7 @@ export type ValueProviderForDomain = () => number[];
 
 /**
  * Plottable.Scale is a class that wraps the d3.scale that adds many utility
- * methods that work with the Plottable's `dataset` concept. Here, we will
- * attempt to explain few basic concepts in plain English.
- * - domain: [f(min(x)), f(max(x))]
- * - range: pixel values of the chart
+ * methods that work with the Plottable's `dataset` concept.
  *
  * Plottable.Scale provides some cool feature where a scale is bound to set of
  * plots (i.e., line, scatter, smooth line chart, etc...) and, when a dataset
@@ -72,7 +69,8 @@ export abstract class TfScale extends Plottable.QuantitativeScale<number> implem
   /**
    * Returns possible `extent`s for a dataset. Note that a dataset can contain
    * multiple series.
-   * Unlike the method name suggests, it uses `values` to return `extent`s.
+   * Unlike the method name suggests, it uses values from each series to
+   * return `extent`s.
    * @override
    */
   protected _getAllIncludedValues(ignoreAttachState = false): number[] {