diff --git a/ev2.py b/ev2.py
index 6501387..d71969a 100644
--- a/ev2.py
+++ b/ev2.py
@@ -1,12 +1,152 @@
 import logging
+import os
+from enum import Enum
 
-from utilsv2 import mongo
+from utilsv2 import mongo, stats
 from utilsv2.log import logger
 from utilsv2.parser import parse
+from utilsv2.utils import toDateTime, toFloat, toInt
+
+OS = os.name
+
+
+MAIN_MENU = {
+    "1": "Adicionar novos dados",
+    "2": "Aplicar filtros",
+    "3": "Estatísticas",
+    "4": "Limpar filtros",
+    "q": "Sair",
+}
+
+FILTER_MENU = {
+    "1": "Data início",
+    "2": "Magnitudes",
+    "3": "Profundidade",
+    "4": "GAP",
+    "6": "Limpar filtros",
+    "7": "Mostrar filtros",
+    "q": "Voltar ao menu principal",
+}
+
+
+def clear_screen():
+    os.system("cls" if OS == "nt" else "clear")
+
+
+def print_menu(menu: dict[str, str]):
+    clear_screen()
+    for k, v in menu.items():
+        print(f"[{k}]: {v}")
+
+
+def filter_menu(old_fiters):
+    filters = old_fiters
+    while True:
+        print_menu(FILTER_MENU)
+        usrIn = input()
+
+        match usrIn:
+            # datas
+            case "1":
+                clear_screen()
+                print(
+                    "Formato da data: YYYY-MM-DD\nInserir datas de corte, separadas por uma vírgula(,)"
+                )
+                aux = input()
+
+                d1, d2 = aux.split(",", maxsplit=1)
+
+                d1 = toDateTime(d1)
+                d2 = toDateTime(d2)
+                filters["DateTime"] = {}
+
+                if d1 != -1:
+                    filters["DateTime"]["$gte"] = d1
+
+                if d2 != -1:
+                    filters["DateTime"]["$lte"] = d2
+
+            # magnitudes
+            case "2":
+                clear_screen()
+                print("Inserir magnitudes de corte, separadas por uma vírgula(,)")
+                aux = input()
+
+                d1, d2 = aux.split(",", maxsplit=1)
+
+                d1 = toFloat(d1)
+                d2 = toFloat(d2)
+                filters["Magnitudes.L.Magnitude"] = {}
+
+                if d1 != -1:
+                    filters["Magnitudes.L.Magnitude"]["$gte"] = d1
+
+                if d2 != -1:
+                    filters["Magnitudes.L.Magnitude"]["$lte"] = d2
+            case "2":
+                clear_screen()
+                print("Inserir profundidades de corte, separadas por uma vírgula(,)")
+                aux = input()
+
+                d1, d2 = aux.split(",", maxsplit=1)
+
+                d1 = toFloat(d1)
+                d2 = toFloat(d2)
+                filters["Depth"] = {}
+
+                if d1 != -1:
+                    filters["Depth"]["$gte"] = d1
+
+                if d2 != -1:
+                    filters["Depth"]["$lte"] = d2
+
+            case "4":
+                clear_screen()
+                print("Inserir GAP")
+                aux = input()
+
+                gap = toInt(aux)
+                if aux:
+                    filters["GAP"]["$lte"] = gap
+
+            case "6":
+                fliters = {}
+
+            case "7":
+                print(filters)
+
+            case "q":
+                return filters
+
+
+def graph_menu():
+    pass
 
 
 def main():
-    pass
+    cli = mongo.connect("mongodb://localhost:27017")
+
+    filters = {}
+
+    while True:
+        print_menu(MAIN_MENU)
+        usrIn = input()
+
+        match usrIn:
+            case "1":
+                raise NotImplementedError
+            case "2":
+                filters = filter_menu(filters)
+            case "3":
+                print(filters)
+                v = mongo.filter_query(cli, "quakes", filters, "test")
+                stats.calculate_stats(v, filters)
+                input()
+
+            case "q":
+                break
+
+    mongo.close(cli)
 
 
 if __name__ == "__main__":
@@ -14,13 +154,5 @@ if __name__ == "__main__":
 
     # initialization
     logger.info("Started")
-    cli = mongo.connect("mongodb://localhost:27017")
-
-    evs, stats = parse("dados.txt")
-
-    mongo.add_events(cli, "quakes", evs)
-    mongo.add_stations(cli, "stations", stats)
-
-    # cleanup
-    mongo.close(cli)
+    main()
     logger.info("Ended")
diff --git a/requirements.txt b/requirements.txt
index 0ac4274..9edfb57 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,5 +1,3 @@
-dash==3.3.0
 matplotlib==3.10.8
-numpy==2.3.5
-pandas==2.3.3
-plotly==6.5.0
+numpy==2.4.0
+pymongo==4.15.5
diff --git a/utilsv2/graphs.py b/utilsv2/graphs.py
new file mode 100644
index 0000000..ff9a07f
--- /dev/null
+++ b/utilsv2/graphs.py
@@ -0,0 +1,17 @@
+from matplotlib import pyplot as plt
+
+
+class Plotter:
+    pass
+
+    def plot_bars(self):
+        pass
+
+    def plot_lin(self):
+        pass
+
+    def plot_box(self):
+        pass
+
+    def adjust_x(self):
+        pass
diff --git a/utilsv2/mongo.py b/utilsv2/mongo.py
index 4faecde..cb6b568 100644
--- a/utilsv2/mongo.py
+++ b/utilsv2/mongo.py
@@ -14,7 +14,7 @@ except ModuleNotFoundError:
 logger = logging.getLogger(__name__)
 
 
-def connect(uri) -> MongoClient:
+def connect(uri: str) -> MongoClient:
     try:
         client = MongoClient(uri)
         logger.info("Connected to the DB")
@@ -26,10 +26,9 @@ def connect(uri) -> MongoClient:
 
 
 def add_events(
-    client: MongoClient, collection: str, data: list[dict[str, Any]]
+    client: MongoClient, collection: str, data: list[dict[str, Any]], db: str = "main"
 ) -> None:
-    db = client["main"]
-    coll = db[collection]
+    coll: Collection = client[db][collection]
 
     _res = coll.insert_many(data)
 
@@ -40,10 +39,9 @@ def add_events(
 
 
 def add_stations(
-    client: MongoClient, collection: str, data: list[dict[str, Any]]
+    client: MongoClient, collection: str, data: list[dict[str, Any]], db: str = "main"
 ) -> None:
-    db = client["main"]
-    coll = db[collection]
+    coll: Collection = client[db][collection]
 
     _res = coll.insert_many(data)
 
@@ -62,19 +60,28 @@ def close(client: MongoClient) -> None:
     logger.info("Closed the DB.")
 
 
-def query_all(cli: MongoClient, collection: str) -> Any:
-    coll: Collection = cli.main[collection]
+def query_all(client: MongoClient, collection: str, db: str = "main") -> Any:
+    coll: Collection = client[db][collection]
 
     result = coll.find({})
 
-    for doc in result:
-        print(doc)
+    return list(result)
 
 
-def filter_query(cli: MongoClient, collection: str, filter_by):
-    coll: Collection = cli.main[collection]
+def filter_query(
+    client: MongoClient, collection: str, filter_by: dict[str, Any], db: str = "main"
+):
+    coll: Collection = client[db][collection]
 
-    res = coll.find({""})
+    res = coll.find(
+        filter_by, {"DateTime": 1, "Magnitudes": 1, "Depth": 1, "GAP": 1}
+    ).sort({"DateTime": 1})
+
+    if not res._empty:
+        res = list(res)
+        logger.info(f"Retrieved {len(res)} elements.")
+
+    return res
 
 
 if __name__ == "__main__":
diff --git a/utilsv2/stats.py b/utilsv2/stats.py
new file mode 100644
index 0000000..5711381
--- /dev/null
+++ b/utilsv2/stats.py
@@ -0,0 +1,49 @@
+import time
+
+import numpy as np
+from pymongo import MongoClient
+
+
+def print_filters(filters):
+    _res = ""
+    for k, v in filters.items():
+        _res += f"{k}: {v}\n"
+
+
+def calculate_stats(data: list, filters):
+    _stats_txt = "Estatísticas\n"
+    _stats_txt += f"Número de eventos: {len(data)}\n"
+    _res = calc_mag(data)
+    _stats_txt += f"Magnitudes:\n\tMédia: {_res[0]} \u00b1 {_res[1]}\n\tMediana: {_res[2]}\n\tValor Mínimo: {_res[3]}\n\tValor Máximo: {_res[4]}\n"
+    _res = calc_depth(data)
+    _stats_txt += f"\nProfundidade:\n\tMédia: {_res[0]} \u00b1 {_res[1]}\n\tMediana: {_res[2]}\n\tValor Mínimo: {_res[3]}\n\tValor Máximo: {_res[4]}\n"
+
+    fname = f"stats-{time.time_ns()}.txt"
+    with open(fname, "wb") as fp:
+        fp.write(_stats_txt.encode("utf-8"))
+
+    print(_stats_txt)
+
+
+def get_data(client: MongoClient):
+    pass
+
+
+def calc_depth(data):
+    if len(data) == 0:
+        return 0
+    depths = np.array([v["Depth"] for v in data], dtype=float)
+    return (
+        np.average(depths),
+        np.std(depths),
+        np.median(depths),
+        np.min(depths),
+        np.max(depths),
+    )
+
+
+def calc_mag(data):
+    if len(data) == 0:
+        return 0
+    mags = np.array([v["Magnitudes"]["L"]["Magnitude"] for v in data], dtype=float)
+    return (np.average(mags), np.std(mags), np.median(mags), np.min(mags), np.max(mags))
diff --git a/utilsv2/utils.py b/utilsv2/utils.py
index 53d9d20..af4b2c6 100644
--- a/utilsv2/utils.py
+++ b/utilsv2/utils.py
@@ -1,2 +1,32 @@
+from datetime import datetime
+
+
 def is_empty(_str: str) -> bool:
     return len(_str.strip(" ")) == 0
+
+
+def toDateTime(dt: str) -> datetime | int:
+    if len(dt) == 0:
+        return -1
+    try:
+        return datetime.strptime(dt, "%Y-%m-%d")
+    except ValueError:
+        return -1
+
+
+def toFloat(v: str) -> float:
+    if len(v) == 0:
+        return -1.0
+    try:
+        return float(v)
+    except ValueError:
+        return -1.0
+
+
+def toInt(v: str) -> int | None:
+    if len(v) == 0:
+        return None
+    try:
+        return int(v)
+    except ValueError:
+        return None