Hash Table
A Hash Table is a data structure that implements an associative array, mapping keys to values using a hash function. It provides average O(1) time complexity for insertion, deletion, and lookup operations.
Hash Table Visualization
Hash Table Visualizer — V3 Ultra Premium
Chaining collisions, cinematic motion, synced code, and guided demo.
Current Phase
Standby
Active Value
—
Bucket Target
—
Key
0
→
Empty bucket
Key
1
→
Empty bucket
Key
2
→
Empty bucket
Key
3
→
Empty bucket
Key
4
→
Empty bucket
Key
5
→
Empty bucket
Key
6
→
Empty bucket
Hash Function: value % 7
Collision strategy: Separate Chaining
Execution Code Sync
Highlighted lines track the current operation.
IDLE
1function hash(value) {
2 return value % tableSize;
3}
4
5insert(value) {
6 index = hash(value);
7 bucket = table[index];
8 if (bucket has collision) {
9 chain value into bucket;
10 } else {
11 place value in bucket;
12 }
13}
14
15search(value) {
16 index = hash(value);
17 scan bucket at index;
18 return found ? true : false;
19}
Live Telemetry
Real-time execution logs.
What This Shows
- • A value is transformed into a bucket index using modulo.
- • If two values map to the same index, a collision happens.
- • This visualizer resolves collisions using separate chaining.
- • The demo intentionally creates collisions to show bucket growth.
Complexity
Time Complexity:
O(1) average, O(n) worst for insert/delete/searchSpace Complexity:
O(n)Pseudocode
class HashTable:
function hash(key):
return hash_function(key) % table_size
function insert(key, value):
index = hash(key)
table[index] = value
function get(key):
index = hash(key)
return table[index]